Multimodal medical image fusion review: Theoretical background and recent advances
Multimodal medical image fusion consists in combining two or more images of the same or different modalities aiming to improve the image content, and preserve information. The rapid advance in medical imaging techniques (Computed Tomography (CT), Positron Emission Tomography (PET), Magnetic Resonanc...
Saved in:
| Published in | Signal processing Vol. 183; p. 108036 |
|---|---|
| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.06.2021
|
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Multimodal medical image fusion consists in combining two or more images of the same or different modalities aiming to improve the image content, and preserve information. The rapid advance in medical imaging techniques (Computed Tomography (CT), Positron Emission Tomography (PET), Magnetic Resonance Imaging (MRI), Single Photon Emission Computed Tomography (SPECT)) has attracted researcher’s attention to fuse different modalities in order to assist experts decision making during the aided-diagnosis pipeline. Moreover, the fused results may help boosting other tasks such as classification, detection and segmentation. The main objective of this work is to provide a comprehensive overview of medical image fusion methods with theoretical background and recent advances. To do so, we present a detailed literature panorama of medical image fusion. The pixel-level, feature-level and decision-level fusion methods are highlighted and discussed with several approaches in each category. Theories behind fusion algorithms are explored aiming to address challenges and limitations of each classes. Therefore, we propose an experimental analysis of fusion performance given by different categories to guide the discussion. By summarizing the existing fusion classes, we discuss merits and demerits of each category to provide some recommendations for future research directions. Finally, performance evaluation metrics are presented to draw conclusions and perspectives. |
|---|---|
| AbstractList | Multimodal medical image fusion consists in combining two or more images of the same or different modalities aiming to improve the image content, and preserve information. The rapid advance in medical imaging techniques (Computed Tomography (CT), Positron Emission Tomography (PET), Magnetic Resonance Imaging (MRI), Single Photon Emission Computed Tomography (SPECT)) has attracted researcher’s attention to fuse different modalities in order to assist experts decision making during the aided-diagnosis pipeline. Moreover, the fused results may help boosting other tasks such as classification, detection and segmentation. The main objective of this work is to provide a comprehensive overview of medical image fusion methods with theoretical background and recent advances. To do so, we present a detailed literature panorama of medical image fusion. The pixel-level, feature-level and decision-level fusion methods are highlighted and discussed with several approaches in each category. Theories behind fusion algorithms are explored aiming to address challenges and limitations of each classes. Therefore, we propose an experimental analysis of fusion performance given by different categories to guide the discussion. By summarizing the existing fusion classes, we discuss merits and demerits of each category to provide some recommendations for future research directions. Finally, performance evaluation metrics are presented to draw conclusions and perspectives. |
| ArticleNumber | 108036 |
| Author | Mourali, Olfa Hermessi, Haithem Zagrouba, Ezzeddine |
| Author_xml | – sequence: 1 givenname: Haithem orcidid: 0000-0001-6243-3272 surname: Hermessi fullname: Hermessi, Haithem email: haithem.hermessi@fst.utm.tn – sequence: 2 givenname: Olfa surname: Mourali fullname: Mourali, Olfa email: olfa.mourali@isi.utm.tn – sequence: 3 givenname: Ezzeddine surname: Zagrouba fullname: Zagrouba, Ezzeddine email: ezzeddine.zagrouba@uvt.tn |
| BookMark | eNqFkM9KAzEQxoNUsK2-gYd9ga2T3W6S9iBI8R9UBKnnkE1ma-p2U5K04tubup486GFmYPi-Yb7fiAw61yEhlxQmFCi72kyCXe-8mxRQ0LQSULITMqSCFzmvKj4gwySrcsrE9IyMQtgAAC0ZDMnL076NduuMarMtGqvTtFu1xqzZB-u6zOPB4sc8W72h8xi_BbXS72vv9p3JVCqPGruYKXNQncZwTk4b1Qa8-Jlj8np3u1o85Mvn-8fFzTLXJbCYN6VuDKcGDDRgBNMUNDfAjq0wOBMFL6GuKmSmqLWiymgjAKcFE5zXs1k5JvP-rvYuBI-N1DaqmJ6OXtlWUpBHOnIjezrySEf2dJJ5-su88ym3__zPdt3bMAVLYLwM2mJKbWyiEKVx9u8DX-4vhMg |
| CitedBy_id | crossref_primary_10_1109_JBHI_2022_3215533 crossref_primary_10_1007_s10489_024_05431_z crossref_primary_10_1007_s11042_023_15636_y crossref_primary_10_1109_TMI_2022_3152157 crossref_primary_10_1145_3574136 crossref_primary_10_1016_j_cmpb_2022_107304 crossref_primary_10_3390_ndt2030022 crossref_primary_10_1016_j_bspc_2024_106976 crossref_primary_10_1016_j_bspc_2023_104824 crossref_primary_10_1016_j_bspc_2023_105518 crossref_primary_10_1016_j_optlastec_2024_112001 crossref_primary_10_1088_2631_8695_ad3a34 crossref_primary_10_1016_j_ipm_2022_102965 crossref_primary_10_1109_TII_2022_3185050 crossref_primary_10_1109_TMI_2024_3485612 crossref_primary_10_1109_TMM_2022_3185887 crossref_primary_10_1007_s10278_021_00554_y crossref_primary_10_1038_s41746_024_01292_5 crossref_primary_10_1007_s00371_025_03840_w crossref_primary_10_1038_s41598_025_91115_8 crossref_primary_10_1016_j_bspc_2023_105478 crossref_primary_10_1016_j_optlastec_2024_112018 crossref_primary_10_1109_TIM_2022_3165263 crossref_primary_10_1016_j_compbiomed_2023_106923 crossref_primary_10_1016_j_bspc_2023_104659 crossref_primary_10_31796_ogummf_1299670 crossref_primary_10_1007_s41870_022_00928_7 crossref_primary_10_1007_s11042_024_18682_2 crossref_primary_10_1016_j_infrared_2023_104828 crossref_primary_10_3390_rs15204958 crossref_primary_10_1016_j_media_2025_103513 crossref_primary_10_3390_s23073490 crossref_primary_10_1016_j_compbiomed_2022_105253 crossref_primary_10_1016_j_neucom_2024_127587 crossref_primary_10_3390_s24020633 crossref_primary_10_1007_s10278_022_00696_7 crossref_primary_10_1109_ACCESS_2024_3412961 crossref_primary_10_2478_amns_2024_0337 crossref_primary_10_3390_math11102260 crossref_primary_10_1016_j_jmbbm_2023_106061 crossref_primary_10_1016_j_isprsjprs_2024_09_025 crossref_primary_10_1038_s41598_024_79786_1 crossref_primary_10_1109_TSMC_2024_3417394 crossref_primary_10_1016_j_inffus_2022_12_010 crossref_primary_10_3390_electronics12143058 crossref_primary_10_1007_s00521_023_09294_2 crossref_primary_10_1108_DTA_08_2022_0330 crossref_primary_10_1109_ACCESS_2024_3358827 crossref_primary_10_1016_j_inffus_2024_102690 crossref_primary_10_1002_ima_23208 crossref_primary_10_1007_s11042_023_16334_5 crossref_primary_10_1007_s10845_023_02251_9 crossref_primary_10_1016_j_compbiomed_2021_105005 crossref_primary_10_1117_1_JMI_9_5_052403 crossref_primary_10_1080_03772063_2023_2280670 crossref_primary_10_1145_3662738 crossref_primary_10_3389_fnbot_2022_1050981 crossref_primary_10_1109_TMI_2024_3383423 crossref_primary_10_1186_s11671_023_03864_y crossref_primary_10_3390_electronics12030738 crossref_primary_10_70401_bmeh_2024_122 crossref_primary_10_1002_cpe_7591 crossref_primary_10_1016_j_jksuci_2023_101733 crossref_primary_10_1007_s41870_025_02488_y crossref_primary_10_3390_e24121823 crossref_primary_10_1016_j_bspc_2024_107407 crossref_primary_10_1016_j_patrec_2022_11_023 crossref_primary_10_1109_JSTARS_2024_3388013 crossref_primary_10_1007_s10489_024_06085_7 crossref_primary_10_1016_j_inffus_2021_10_018 crossref_primary_10_1007_s11042_025_20631_6 crossref_primary_10_1109_MCI_2022_3223487 crossref_primary_10_3390_s23020599 crossref_primary_10_1007_s11554_024_01493_x crossref_primary_10_3390_app112210975 crossref_primary_10_1002_ima_23144 crossref_primary_10_1016_j_bspc_2022_104353 crossref_primary_10_1109_JSEN_2024_3393619 crossref_primary_10_1038_s41598_025_93662_6 crossref_primary_10_1016_j_bspc_2023_105561 crossref_primary_10_1016_j_inffus_2024_102790 crossref_primary_10_1016_j_engappai_2022_105637 crossref_primary_10_3389_fonc_2022_819673 crossref_primary_10_3390_e26010057 crossref_primary_10_1007_s11042_023_14393_2 crossref_primary_10_1016_j_bspc_2022_103535 crossref_primary_10_1109_JBHI_2024_3352970 crossref_primary_10_1016_j_bspc_2022_103534 crossref_primary_10_1016_j_eswa_2023_121878 crossref_primary_10_1016_j_ins_2024_121772 crossref_primary_10_1109_TCSVT_2023_3289170 crossref_primary_10_1016_j_eswa_2023_120301 crossref_primary_10_3390_electronics12010097 crossref_primary_10_1049_cit2_12159 crossref_primary_10_1007_s11042_022_13507_6 crossref_primary_10_1109_JSTARS_2023_3296505 crossref_primary_10_1007_s11760_024_03367_y crossref_primary_10_3390_signals4030028 crossref_primary_10_1007_s11831_022_09833_5 crossref_primary_10_1007_s11760_024_03761_6 crossref_primary_10_1016_j_bspc_2021_103096 crossref_primary_10_1016_j_compbiomed_2024_108635 crossref_primary_10_1007_s11760_023_02581_4 crossref_primary_10_1016_j_compbiomed_2025_109822 crossref_primary_10_1016_j_bspc_2023_105671 crossref_primary_10_1016_j_ins_2021_11_033 crossref_primary_10_37394_23208_2022_19_22 crossref_primary_10_1016_j_bspc_2023_104740 crossref_primary_10_1002_mp_16615 crossref_primary_10_1007_s11042_022_13560_1 crossref_primary_10_1016_j_procs_2023_10_295 crossref_primary_10_1007_s11517_023_02902_2 crossref_primary_10_1098_rsos_231762 crossref_primary_10_1016_j_compbiomed_2023_107531 crossref_primary_10_1109_TNNLS_2023_3238511 crossref_primary_10_1038_s41598_022_22442_3 crossref_primary_10_1007_s11042_024_20255_2 crossref_primary_10_1016_j_inffus_2024_102839 crossref_primary_10_1109_ACCESS_2021_3119347 crossref_primary_10_1007_s10278_024_01076_z crossref_primary_10_1007_s11045_021_00813_9 crossref_primary_10_1016_j_measurement_2025_116701 crossref_primary_10_1016_j_inffus_2023_102135 crossref_primary_10_1007_s11042_023_16721_y crossref_primary_10_3390_electronics13234594 crossref_primary_10_1016_j_cmpb_2022_107201 crossref_primary_10_1002_mp_16658 crossref_primary_10_1007_s10462_023_10529_w crossref_primary_10_1016_j_bspc_2022_104402 crossref_primary_10_4103_jmss_jmss_11_24 crossref_primary_10_1007_s11263_025_02409_3 crossref_primary_10_1007_s40846_023_00801_3 crossref_primary_10_1007_s41666_024_00172_7 crossref_primary_10_1016_j_engappai_2024_109225 crossref_primary_10_3390_info16030195 crossref_primary_10_1007_s00530_025_01686_9 crossref_primary_10_1007_s11760_024_03294_y crossref_primary_10_1016_j_compbiomed_2023_107387 crossref_primary_10_1007_s10527_023_10261_3 crossref_primary_10_3233_JIFS_202884 crossref_primary_10_1007_s11042_023_15913_w crossref_primary_10_1109_TAI_2024_3397246 crossref_primary_10_1007_s11517_024_03089_w crossref_primary_10_1016_j_sigpro_2022_108637 crossref_primary_10_1007_s11571_023_09993_5 crossref_primary_10_1109_TBME_2024_3391314 crossref_primary_10_7759_cureus_45109 crossref_primary_10_1007_s00542_022_05315_7 crossref_primary_10_3390_molecules27217448 crossref_primary_10_1186_s13634_024_01118_2 crossref_primary_10_1016_j_compbiomed_2023_106620 crossref_primary_10_1016_j_inffus_2022_09_019 crossref_primary_10_1016_j_cmpb_2025_108615 crossref_primary_10_1016_j_inffus_2024_102536 crossref_primary_10_2174_1573405618666220606161137 crossref_primary_10_1016_j_engappai_2023_107095 crossref_primary_10_1109_ACCESS_2024_3472039 |
| Cites_doi | 10.1007/s11831-015-9154-z 10.1007/s10916-018-1088-1 10.1007/978-1-4614-6666-6_3 10.1016/j.ijleo.2018.12.028 10.1016/j.neuroimage.2010.01.069 10.1016/j.inffus.2016.03.003 10.1504/IJSISE.2018.091883 10.1007/s12204-010-7186-y 10.1109/TBME.2014.2372011 10.4218/etrij.17.0116.0568 10.22266/ijies2017.0630.40 10.1016/j.eswa.2012.09.011 10.1109/ACCESS.2019.2963741 10.1016/j.inffus.2013.10.011 10.1007/s00041-010-9163-0 10.1016/j.aqpro.2015.02.019 10.1504/IJBET.2018.095982 10.1016/j.mri.2019.06.009 10.1109/ACCESS.2017.2788044 10.1142/S1793545817500018 10.1016/j.inffus.2018.07.010 10.1016/j.knosys.2017.05.017 10.1053/snuc.2003.127313 10.1016/j.inffus.2017.05.006 10.1016/j.inffus.2013.12.002 10.1016/j.inffus.2010.03.002 10.1016/j.inffus.2017.10.007 10.1016/j.sigpro.2011.04.025 10.1007/s11517-018-1935-8 10.1049/ip-vis:19941184 10.1179/1743131X14Y.0000000092 10.1155/2017/9308745 10.1016/j.jvcir.2019.02.027 10.1016/j.dsp.2018.04.002 10.1504/IJBET.2018.094727 10.1109/TBME.2013.2282461 10.1016/j.media.2016.06.030 10.1109/TIM.2018.2838778 10.1016/S0019-9958(65)90241-X 10.1142/S0219878910002099 10.1007/s11042-017-5067-1 10.1016/j.neucom.2008.02.025 10.1137/05064182X 10.3724/SP.J.1004.2008.01508 10.1002/ima.22145 10.1016/j.neucom.2015.09.116 10.1007/s00261-016-0645-7 10.1016/j.neucom.2018.05.028 10.1109/JBHI.2018.2869096 10.1016/j.isprsjprs.2007.05.009 10.1007/s11517-012-0943-3 10.1016/j.proeng.2010.11.045 10.1016/j.inffus.2018.02.004 10.3390/s120505872 10.4018/IJRSDA.2015070105 10.1016/j.inffus.2013.06.001 10.1002/cpe.5632 10.1142/S0219467819500049 10.14358/PERS.74.2.193 10.1016/S1566-2535(02)00054-4 10.1016/j.neucom.2015.07.160 10.1016/j.compbiomed.2018.06.008 10.1109/JSEN.2016.2533864 10.1016/j.inffus.2005.05.001 10.1109/JSEN.2017.2747220 10.1016/j.neuroimage.2014.06.077 10.1109/TIP.2006.877507 10.1016/j.acha.2007.09.003 10.1002/ima.22138 10.1080/09500340903541056 10.1016/j.artmed.2018.08.008 10.1109/TMI.2016.2640180 10.1016/j.inffus.2005.09.006 10.1016/j.inffus.2016.05.004 10.1016/j.media.2017.07.005 10.1016/j.bspc.2018.05.042 10.1016/j.patcog.2004.03.010 10.1016/j.bj.2017.05.002 10.1109/TIP.2017.2745202 10.1016/j.dsp.2012.11.001 10.1007/s00521-018-3441-1 10.1016/j.ijleo.2014.04.068 10.1109/TITB.2008.923773 10.1016/j.inffus.2010.04.001 10.1006/nimg.2000.0707 10.1016/j.inffus.2016.12.001 10.1016/j.inffus.2014.09.004 10.1162/neco.1989.1.4.541 10.1016/j.eswa.2018.11.025 10.1016/j.inffus.2005.04.003 10.1155/2019/5450373 10.1016/j.procs.2015.10.057 10.1109/TIP.2005.859376 10.1146/annurev-bioeng-071516-044442 10.1109/ACCESS.2017.2685178 10.1109/TPAMI.2011.109 10.1142/S0219691319500231 10.1109/ACCESS.2017.2735865 10.1080/16168658.2018.1517980 10.1109/ACCESS.2019.2913847 10.1166/jmihi.2016.1919 10.1137/060649781 10.1155/2019/3503267 10.1016/j.jvcir.2017.12.011 10.1016/j.inffus.2007.04.003 10.1016/j.inffus.2012.09.005 10.1016/j.sigpro.2018.08.002 10.1007/s11042-017-4731-9 10.1016/j.bbe.2017.10.001 10.1016/j.inffus.2006.04.001 10.1117/1.JEI.22.3.033028 10.1142/S0219691318500376 10.1117/1.2009764 10.1007/978-3-319-04960-1_44 10.1016/j.imavis.2006.01.025 10.1016/j.ijleo.2018.06.123 10.1016/j.inffus.2009.05.003 10.1016/j.patcog.2016.09.032 10.1016/j.sigpro.2020.107793 10.1016/j.inffus.2012.07.003 10.1016/S0031-3203(00)00123-0 10.1016/j.proeng.2012.06.102 10.3109/03091902.2014.904014 10.1016/j.inffus.2015.03.003 10.1016/S0262-8856(03)00137-9 10.1053/j.tvir.2013.02.012 10.25103/jestr.104.21 10.1016/j.imavis.2007.12.002 10.1117/1.JEI.25.6.061617 10.1109/LSP.2016.2618776 10.1016/j.cmpb.2020.105603 10.1063/1.4959559 10.1002/mp.13264 |
| ContentType | Journal Article |
| Copyright | 2021 Elsevier B.V. |
| Copyright_xml | – notice: 2021 Elsevier B.V. |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.sigpro.2021.108036 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1872-7557 |
| ExternalDocumentID | 10_1016_j_sigpro_2021_108036 S016516842100075X |
| GroupedDBID | --K --M -~X .DC .~1 0R~ 123 1B1 1~. 1~5 4.4 457 4G. 53G 5VS 7-5 71M 8P~ 9JN AABNK AACTN AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AAXUO AAYFN ABBOA ABFNM ABFRF ABMAC ABXDB ABYKQ ACDAQ ACGFO ACGFS ACNNM ACRLP ACZNC ADBBV ADEZE ADJOM ADMUD ADTZH AEBSH AECPX AEFWE AEKER AENEX AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHJVU AHZHX AIALX AIEXJ AIKHN AITUG AJBFU AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD ASPBG AVWKF AXJTR AZFZN BJAXD BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F0J F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-Q G8K GBLVA GBOLZ HLZ HVGLF HZ~ IHE J1W JJJVA KOM LG9 M41 MO0 N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ SBC SDF SDG SDP SES SEW SPC SPCBC SST SSV SSZ T5K TAE TN5 WUQ XPP ZMT ~02 ~G- AATTM AAXKI AAYWO AAYXX ABDPE ABJNI ABWVN ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AFXIZ AGCQF AGQPQ AGRNS AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP BNPGV CITATION SSH |
| ID | FETCH-LOGICAL-c306t-f3cfd71d0d0f0d86c10c7d06c7d02de982730b55e6d2bca1adcd80e426877b993 |
| IEDL.DBID | .~1 |
| ISSN | 0165-1684 |
| IngestDate | Thu Apr 24 23:08:59 EDT 2025 Tue Jul 01 02:07:30 EDT 2025 Fri Feb 23 02:45:12 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Multi-scale geometric decomposition Deep learning Fuzzy logic Sparse representation Multimodal medical image fusion Evaluation metrics |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c306t-f3cfd71d0d0f0d86c10c7d06c7d02de982730b55e6d2bca1adcd80e426877b993 |
| ORCID | 0000-0001-6243-3272 |
| ParticipantIDs | crossref_citationtrail_10_1016_j_sigpro_2021_108036 crossref_primary_10_1016_j_sigpro_2021_108036 elsevier_sciencedirect_doi_10_1016_j_sigpro_2021_108036 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | June 2021 2021-06-00 |
| PublicationDateYYYYMMDD | 2021-06-01 |
| PublicationDate_xml | – month: 06 year: 2021 text: June 2021 |
| PublicationDecade | 2020 |
| PublicationTitle | Signal processing |
| PublicationYear | 2021 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Soniya, Paul, Singh (bib0186) 2015 Labate, Lim, Kutyniok, Weiss (bib0096) 2005; 5914 Lewis, O’Callaghan, Nikolov, Bull, Canagarajah (bib0043) 2007; 8 Jiang, Wang (bib0170) 2014; 18 Shabanzade, Ghassemian (bib0014) 2017 Singh, Khare (bib0053) 2014; 264 Candès, Demanet, Donoho, Ying (bib0074) 2006; 5 Barra, Boire (bib0129) 2001; 13 Khemila, Belgacem Rhaimi (bib0156) 2016 Das, Bhattacharya (bib0067) 2009 Liu, Zhao, Shi (bib0044) 2015; 25 Mathiyalagan (bib0078) 2018 Lai, Wang, He, Hannah Borjer (bib0015) 2017; 10 He, Liu, Li, Wang (bib0160) 2010; 7 Bhavana, Krishnappa (bib0020) 2016 Ardeshir Goshtasby, Nikolov (bib0028) 2007; 8 Daniel, Anitha, Gnanaraj (bib0068) 2017; 131 Selvarani, Vaithiyanathan (bib0164) 2012; 4 Liu, Zhang, Li, Zhao, Li (bib0155) 2015; 25 Manchanda, Sharma (bib0132) 2018; 51 Das, Kundu (bib0025) 2013; 60 Tan, Yu (bib0107) 2019; 2019 Li, Dong (bib0038) 2013 Wu, Yang, Zhu, Zhang (bib0029) 2014 Pezeshk, Petrick, Chen, Sahiner (bib0211) 2017; 36 Bhataria, Shah (bib0049) 2018 Do, Vetterli (bib0084) 2005; 14 Bhardwaj, Nayak, Gambhir (bib0069) 2021 Kavitha, Chellamuthu (bib0058) 2014; 63 Liu, Liu, Wang (bib0142) 2015; 24 Sui, Adali, Pearlson, Yang, Sponheim, White, Calhoun (bib0153) 2010; 51 Zaouali, Bouzidi, Zagrouba (bib0048) 2016; 25 Pajares, de la Cruz (bib0050) 2004; 37 Singh, Khare (bib0054) 2014; 19 Ghassemian (bib0001) 2016; 32, Part A Wen, Wen, Li-qun (bib0064) 2008 Akbarpour, Shamsi, Daneshvar, Pooreisa (bib0109) 2019; 17 Shahdoosti, Mehrabi (bib0035) 2018; 79 Biswas, Sen (bib0116) 2018; 11 Ali, El-Dokany, Saad, Abd El-Samie (bib0076) 2010; 57 Yang, Wu, Huang, Fang, Lin, Que (bib0131) 2019; 23 Shi, Chen, Zhang, Smith, Liu (bib0184) 2017; 63 Liu, Chen, Peng, Wang (bib0194) 2017; 36 Mostapha, Styner (bib0191) 2019 Deng, Ma (bib0042) 2009 Da Cunha, Zhou, Do (bib0085) 2006; 15 Yang, Jing (bib0169) 2008 Haddadpour, Daneshvar, Seyedarabi (bib0162) 2017; 40 Jacques, Chaux, Peyré (bib0070) 2011; 91 Alparone, Aiazzi, Baronti, Garzelli, Nencini, Selva (bib0214) 2008; 74 Bernal, Kushibar, Asfaw, Valverde, Oliver, Martí, Lladó (bib0193) 2019; 95 Duan, Wang, Huang, Wen, Zhu, Xu (bib0105) 2019; 60 Dou, Ruan, Chen, Bloyet, Constans (bib0139) 2007; 25 Du, Li, Lu, Xiao (bib0003) 2016; 215 Jin, Chen, Hou, Jiang, Zhou, Yao (bib0119) 2018; 153 Rajkumar, Bardhan, Akkireddy, Munshi (bib0065) 2014 Liu, Liu, Cai, Che, Pujol, Kikinis, Feng, Fulham, ADNI (bib0183) 2015; 62 Dai, Pan, Li (bib0091) 2017; 28 Anna, Jie, Dan, Yu (bib0062) 2007 Kavitha, Chellamuthu (bib0059) 2012; 38 Wu (bib0133) 2013; 301 Arif, Abdullah, Phalianakote, Ramli, Elahi (bib0082) 2014 He, Wen, Dai, Wang (bib0031) 2018; 140 Abi-Jaoudeh, Kobeiter, Xu, Wood (bib0005) 2013; 16 Bhavana, Krishnappa (bib0013) 2015; 70 Chinmayi, Agilandeeswari, Prabukumar (bib0204) 2016 Meher, Agrawal, Panda, Abraham (bib0027) 2019; 48 Hermessi, Mourali, Zagrouba (bib0100) 2019; 120 Zhang, Liu, Kou, Dai, Cheng (bib0213) 2010 Amini, Fatemizadeh, Behnam (bib0087) 2014; 38 Jin, Wang, Chen, Nie (bib0016) 2016; 6 Kittipoom, Kutyniok, Lim (bib0097) 2011; 17 Haskins, Yan (bib0202) 2020; 31 Easley, Labate, Lim (bib0099) 2008; 25 Zadeh (bib0127) 1965; 8 Hermessi, Mourali, Zagrouba (bib0066) 2016; 684 Biswas, Sen (bib0138) 2017 Deng, Cao, Cao, Wang (bib0075) 2007; 6790 Cheng, He, Lv (bib0052) 2008 Liu, Blasch, Xue, Zhao, Laganiere, Wu (bib0207) 2012; 34 Bhatnagar, Jonathan Wu, Liu (bib0113) 2013; 40 James, Dasarathy (bib0009) 2014; 19 Dargan, Kumar, Ayyagari, Kumar (bib0172) 2019 Biswas, Sen (bib0104) 2019; 19 Patil, Mudengudi (bib0146) 2011 Bai (bib0167) 2013; 23 Prakash, Park, Khare, Jeon, Gwak (bib0036) 2019; 182 Rogova, Stomper (bib0115) 2002; 3 Zhang, Liu, Blum, Han, Tao (bib0141) 2018; 40 Kavitha, Bharathi, Sasikala, Chandraleka, Ashwini (bib0033) 2018; 28 Velmurugan, Sivakumar, Rajasekaran (bib0034) 2018; 28 Bhateja, Krishn, Patel, Sahu (bib0073) 2015; 2 Guo, Labate (bib0095) 2007; 39 Liu, Yang, Sun (bib0018) 2010 Mankar, Daimiwal (bib0086) 2015 Calhoun, Adali (bib0151) 2009; 13 Feng, Elazab, Yang, Wang, Zhou, Hu, Xiao, Lei (bib0188) 2019; 7 Shen, Wu, Suk (bib0175) 2017; 19 Li, Xie, Zhou, Han, Zhan (bib0030) 2018; 172 Bhateja, Moin, Srivastava, Bao, Lay-Ekuakille, Le (bib0165) 2016; 87 Singh, Verma, Ul Islam, Cui (bib0185) 2019; 798 Chen, Blum (bib0216) 2009; 27 Zhang, Tang, Lai, Sun, Wong (bib0061) 2004 Baghaie, Schnell, Bakhshinejad, Fathi, D’Souza, Rayz (bib0079) 2018; 99 Petrović (bib0205) 2007; 8 Tirupal, Chandra Mohan, Srinivas Kumar (bib0136) 2019; 799 Sahiner, Pezeshk, Hadjiiski, Wang, Drukker, Cha, Summers, Giger (bib0171) 2019; 46 Yang, Li (bib0143) 2012; 13 Bengueddoudj, Messali, Mosorov (bib0157) 2017; 10 Teng, Wang, Zhang, Wang (bib0130) 2010 Li, Yang, Hu (bib0083) 2011; 12 Nirmala, Vaidehi (bib0022) 2015 Kang, Lu, Zhang (bib0181) 2020; 8 Liu, Zhao, Shi (bib0120) 2015; 2015 Lin, Yan, Yuan (bib0112) 2013; 22 Liu, Liu, Wang (bib0090) 2014; 484 Shahdoosti, Mehrabi (bib0111) 2018; 77 Amolins, Zhang, Dare (bib0047) 2007; 62 Raju, Rani, Challaram (bib0212) 2018 Liu, Chen, Lu, Ahmad, Jeon, Yang (bib0145) 2020; 32 Litjens, Kooi, Bejnordi, Setio, Ciompi, Ghafoorian, van der Laak, van Ginneken, Sánchez (bib0174) 2017; 42 Zhong, Yang, Huang, Zhong, Chen (bib0195) 2016; 17 Hou, Zhou, Nie, Liu, Ruan (bib0199) 2019; 57 James, Dasarathy (bib0125) 2015; abs/1506.00097 Matsopoulos, Marshall, Brunt (bib0041) 1994; 141 Wei, Zhou, Guo (bib0103) 2018; 77 Soille (bib0166) 2004 Zheng, Essock, Hansen, Haun (bib0051) 2007; 8 Assareh, Volkert (bib0140) 2009 Zhao, Zhao, Hao (bib0122) 2014; 24 Kutyniok, Labate (bib0098) 2007; 1 Liu, Chen, Cheng, Peng (bib0196) 2017 Tang, Li, Qian, Zhang, Pan (bib0026) 2016; 7 Kor, Tiwary (bib0057) 2005; 3 Fang, Zhang (bib0060) 2017; Proc. SPIE 10605 Li, Kang, Fang, Hu, Yin (bib0006) 2017; 33 Shabanzade, Ghassemian (bib0089) 2016 Mallat (bib0046) 1999 Tang, Liu, Zhang, Cheng, Peng, Chen (bib0180) 2019; 2019 Wang, Lai, Li (bib0154) 2012; 12 Kumar, Kaur, Amita (bib0137) 2018; 10 Sahu, Bhateja, Krishn, Himanshi (bib0011) 2014 Li, Dong (bib0021) 2013; 1 Goodfellow, Pouget-Abadie, Mirza, Xu, Warde-Farley, Ozair, Courville, Bengio (bib0179) 2014 Sadjadi (bib0040) 2005; 3 Ma, Ma, Li (bib0002) 2019; 45 Tirupal, Mohan, Kumar (bib0135) 2017; 39 Tian, Li, Ye (bib0032) 2016 Suk, Lee, Shen (bib0177) 2014; 101 Chai, Luo, Zhang (bib0056) 2017; 5 Kiran Kumar (bib0080) 2009; 25 Vijayarajan, Muttan (bib0148) 2014; 125 Nischitha, Padmavathi (bib0017) 2017 Yang, Que, Huang, Lin (bib0094) 2016; 16 LeCun, Boser, Denker, Henderson, Howard, Hubbard, Jackel (bib0190) 1989; 1 Qiu, Wang, Zhang, Xia (bib0108) 2017; 2017 B. Sehgal, Gondal, Dooley (bib0114) 2004 Jagalingam, Hegde (bib0206) 2015; 4 Padmavathi, Karki, Bhat (bib0024) 2016 Himanshi, Bhateja, Krishn, Sahu (bib0077) 2016; 379 Meng, Du, Li, Zhang (bib0163) 2014; 10 Biswas, Ghoshal, Chatterjee, Chakrabarti, Dey (bib0110) 2015 Liu, Chen, Ward, Wang (bib0209) 2016; 23 Xi, Luo, Zhang, You, Wu (bib0023) 2017 Razzak, Naz, Zaib (bib0189) 2018; 26 Talbar, Chavan, Pawar (bib0019) 2019; 880 Zhang, Liao, Ruan, Lebonvallet, Zhu (bib0126) 2009 Yang, Jing, Zhao (bib0010) 2010; 15 Al-Azzawi, Wan Abdullah (bib0088) 2010; 07 Voulodimos, Doulamis, Doulamis, Protopapadakis (bib0182) 2018; 2018 Viergever, Maintz, Klein, Murphy, Staring, Pluim (bib0201) 2016; 33 Yang, Guo, Ni (bib0055) 2008; 72 Alam, Rahman, Ullah, Gulati (bib0008) 2018; 38 Guo, Liu, Oerlemans, Lao, Wu, Lew (bib0176) 2016; 187 Wang, Ma (bib0121) 2008; 9 Mukhopadhyay, Chanda (bib0168) 2001; 34 Cao, Li, Fan (bib0147) 2017 Jian Xia, sheng Yin, qiang Wang (bib0198) 2018 Paulino, Thorstad, Fox (bib0210) 2003; 33 Zitová, Flusser (bib0200) 2003; 21 Vladimir S. Petrovic (bib0215) 2005; 44 Chen, Zheng, Lu, Tu, Yang, Kasabov (bib0187) 2018; 11307 Hermessi, Mourali, Zagrouba (bib0197) 2018; 30 Kim, Han, Ko (bib0144) 2016; 27 Daneshvar, Ghassemian (bib0123) 2010; 11 Ker, Wang, Rao, Lim (bib0173) 2017; 6 Rajagopal, Venkatesan (bib0004) 2016; 41 Liu, Chen, Wang, Wang, Ward, Wang (bib0007) 2018; 42 Sanjay, Soundrapandiyan, Karuppiah, Ganapathy (bib0134) 2017; 10 Panda, Agrawal (bib0152) 2010; 6466 Wang, Wang, Zhu, Ma (bib0118) 2016; 23 Nawaz, Bin, Weisheng, Hamid (bib0150) 2017; 728 Sun, Zhu, Xu, Han (bib0158) 2013; 14 Kaur, Kaur (bib0037) 2016 Mishra, Dhabal (bib0117) 2018 Nawaz, Bin, Weisheng, Hamid (bib0149) 2017 Cheng, Jin, Li (bib0102) 2018; 310 QU, YAN, XIAO, ZHU (bib0208) 2008; 34 Singh, Anand (bib0012) 2018; 46 Calhoun, Amin, Hjelm, Damaraju, Plis (bib0178) 2017 Vasuki, Kanimozhi, Devi (bib0203) 2017 Chen (bib0161) 2017; 17 Dogra, Goyal, Agrawal (bib0039) 2017; 5 Li, Peng, Wang (bib0124) 2021; 178 Biswas, Sen (bib0128) 2015 Du, Li, Xiao (bib0045) 2017; 26 Krishn, Bhateja, Himanshi, Sahu (bib0071) 2015; 328 Du, Fang, Yu, Lu (bib0159) 2020; 196 Zhang, Huang, Zhao (bib0101) 2018; 16 Cui, Zhang, Wu (bib0063) 2009 Candès, Donoho (bib0072) 1999 Yin, Liu, Liu, Chen (bib0106) 2019; 68 Anwar, Majid, Qayyum, Awais, Alnowami, Khan (bib0192) 2018; 42 Anand, Narasimhan, Saravanan (bib0081) 2012 Das, Kundu (bib0092) 2012; 50 Balasubramaniam, Ananthi (bib0093) 2014; 20 Duan (10.1016/j.sigpro.2021.108036_bib0105) 2019; 60 Zhang (10.1016/j.sigpro.2021.108036_bib0126) 2009 Yin (10.1016/j.sigpro.2021.108036_bib0106) 2019; 68 Li (10.1016/j.sigpro.2021.108036_bib0038) 2013 Daneshvar (10.1016/j.sigpro.2021.108036_bib0123) 2010; 11 Nischitha (10.1016/j.sigpro.2021.108036_bib0017) 2017 Petrović (10.1016/j.sigpro.2021.108036_bib0205) 2007; 8 Bhavana (10.1016/j.sigpro.2021.108036_bib0020) 2016 Rajkumar (10.1016/j.sigpro.2021.108036_bib0065) 2014 Dai (10.1016/j.sigpro.2021.108036_bib0091) 2017; 28 James (10.1016/j.sigpro.2021.108036_bib0125) 2015; abs/1506.00097 Amini (10.1016/j.sigpro.2021.108036_bib0087) 2014; 38 Anwar (10.1016/j.sigpro.2021.108036_bib0192) 2018; 42 Liu (10.1016/j.sigpro.2021.108036_bib0018) 2010 Liu (10.1016/j.sigpro.2021.108036_bib0196) 2017 Wang (10.1016/j.sigpro.2021.108036_sbref0154) 2012; 12 Kaur (10.1016/j.sigpro.2021.108036_bib0037) 2016 Deng (10.1016/j.sigpro.2021.108036_bib0042) 2009 Jin (10.1016/j.sigpro.2021.108036_bib0119) 2018; 153 Rajagopal (10.1016/j.sigpro.2021.108036_bib0004) 2016; 41 Wen (10.1016/j.sigpro.2021.108036_bib0064) 2008 Yang (10.1016/j.sigpro.2021.108036_bib0143) 2012; 13 Biswas (10.1016/j.sigpro.2021.108036_bib0104) 2019; 19 Bhatnagar (10.1016/j.sigpro.2021.108036_bib0113) 2013; 40 Yang (10.1016/j.sigpro.2021.108036_bib0010) 2010; 15 Labate (10.1016/j.sigpro.2021.108036_bib0096) 2005; 5914 Bhataria (10.1016/j.sigpro.2021.108036_bib0049) 2018 Zhang (10.1016/j.sigpro.2021.108036_bib0141) 2018; 40 Talbar (10.1016/j.sigpro.2021.108036_bib0019) 2019; 880 Mathiyalagan (10.1016/j.sigpro.2021.108036_bib0078) 2018 Vijayarajan (10.1016/j.sigpro.2021.108036_bib0148) 2014; 125 Vladimir S. Petrovic (10.1016/j.sigpro.2021.108036_bib0215) 2005; 44 Sadjadi (10.1016/j.sigpro.2021.108036_sbref0040) 2005; 3 Biswas (10.1016/j.sigpro.2021.108036_bib0116) 2018; 11 Barra (10.1016/j.sigpro.2021.108036_bib0129) 2001; 13 Chen (10.1016/j.sigpro.2021.108036_bib0161) 2017; 17 Shahdoosti (10.1016/j.sigpro.2021.108036_bib0035) 2018; 79 Yang (10.1016/j.sigpro.2021.108036_bib0169) 2008 Liu (10.1016/j.sigpro.2021.108036_bib0207) 2012; 34 Vasuki (10.1016/j.sigpro.2021.108036_bib0203) 2017 Alam (10.1016/j.sigpro.2021.108036_bib0008) 2018; 38 Sahiner (10.1016/j.sigpro.2021.108036_bib0171) 2019; 46 Dou (10.1016/j.sigpro.2021.108036_bib0139) 2007; 25 Rogova (10.1016/j.sigpro.2021.108036_bib0115) 2002; 3 Du (10.1016/j.sigpro.2021.108036_bib0003) 2016; 215 James (10.1016/j.sigpro.2021.108036_bib0009) 2014; 19 Haddadpour (10.1016/j.sigpro.2021.108036_bib0162) 2017; 40 Bai (10.1016/j.sigpro.2021.108036_bib0167) 2013; 23 Zadeh (10.1016/j.sigpro.2021.108036_bib0127) 1965; 8 Ghassemian (10.1016/j.sigpro.2021.108036_bib0001) 2016; 32, Part A Alparone (10.1016/j.sigpro.2021.108036_bib0214) 2008; 74 Sanjay (10.1016/j.sigpro.2021.108036_bib0134) 2017; 10 Meher (10.1016/j.sigpro.2021.108036_bib0027) 2019; 48 Suk (10.1016/j.sigpro.2021.108036_bib0177) 2014; 101 Patil (10.1016/j.sigpro.2021.108036_bib0146) 2011 Calhoun (10.1016/j.sigpro.2021.108036_bib0178) 2017 Soille (10.1016/j.sigpro.2021.108036_bib0166) 2004 Panda (10.1016/j.sigpro.2021.108036_bib0152) 2010; 6466 Teng (10.1016/j.sigpro.2021.108036_bib0130) 2010 Liu (10.1016/j.sigpro.2021.108036_bib0183) 2015; 62 Wang (10.1016/j.sigpro.2021.108036_bib0121) 2008; 9 Liu (10.1016/j.sigpro.2021.108036_bib0142) 2015; 24 QU (10.1016/j.sigpro.2021.108036_bib0208) 2008; 34 Cui (10.1016/j.sigpro.2021.108036_bib0063) 2009 Biswas (10.1016/j.sigpro.2021.108036_bib0128) 2015 Anna (10.1016/j.sigpro.2021.108036_bib0062) 2007 Liu (10.1016/j.sigpro.2021.108036_bib0090) 2014; 484 Nirmala (10.1016/j.sigpro.2021.108036_bib0022) 2015 Ali (10.1016/j.sigpro.2021.108036_bib0076) 2010; 57 Tirupal (10.1016/j.sigpro.2021.108036_bib0135) 2017; 39 Nawaz (10.1016/j.sigpro.2021.108036_bib0150) 2017; 728 Zhang (10.1016/j.sigpro.2021.108036_bib0101) 2018; 16 Ma (10.1016/j.sigpro.2021.108036_bib0002) 2019; 45 Singh (10.1016/j.sigpro.2021.108036_bib0054) 2014; 19 Li (10.1016/j.sigpro.2021.108036_bib0006) 2017; 33 Yang (10.1016/j.sigpro.2021.108036_bib0055) 2008; 72 Kavitha (10.1016/j.sigpro.2021.108036_bib0058) 2014; 63 Das (10.1016/j.sigpro.2021.108036_bib0092) 2012; 50 Liu (10.1016/j.sigpro.2021.108036_bib0007) 2018; 42 Shabanzade (10.1016/j.sigpro.2021.108036_bib0014) 2017 Liu (10.1016/j.sigpro.2021.108036_bib0194) 2017; 36 Zhang (10.1016/j.sigpro.2021.108036_bib0061) 2004 LeCun (10.1016/j.sigpro.2021.108036_bib0190) 1989; 1 Dogra (10.1016/j.sigpro.2021.108036_bib0039) 2017; 5 Razzak (10.1016/j.sigpro.2021.108036_bib0189) 2018; 26 Pajares (10.1016/j.sigpro.2021.108036_bib0050) 2004; 37 Hermessi (10.1016/j.sigpro.2021.108036_bib0100) 2019; 120 Mankar (10.1016/j.sigpro.2021.108036_bib0086) 2015 Nawaz (10.1016/j.sigpro.2021.108036_bib0149) 2017 Du (10.1016/j.sigpro.2021.108036_bib0159) 2020; 196 Liu (10.1016/j.sigpro.2021.108036_bib0209) 2016; 23 Liu (10.1016/j.sigpro.2021.108036_bib0155) 2015; 25 Khemila (10.1016/j.sigpro.2021.108036_bib0156) 2016 Ardeshir Goshtasby (10.1016/j.sigpro.2021.108036_bib0028) 2007; 8 Guo (10.1016/j.sigpro.2021.108036_bib0095) 2007; 39 Kittipoom (10.1016/j.sigpro.2021.108036_bib0097) 2011; 17 Biswas (10.1016/j.sigpro.2021.108036_bib0110) 2015 Shi (10.1016/j.sigpro.2021.108036_bib0184) 2017; 63 Sahu (10.1016/j.sigpro.2021.108036_bib0011) 2014 Goodfellow (10.1016/j.sigpro.2021.108036_bib0179) 2014 Li (10.1016/j.sigpro.2021.108036_bib0030) 2018; 172 Hermessi (10.1016/j.sigpro.2021.108036_bib0197) 2018; 30 Akbarpour (10.1016/j.sigpro.2021.108036_bib0109) 2019; 17 Cao (10.1016/j.sigpro.2021.108036_bib0147) 2017 Matsopoulos (10.1016/j.sigpro.2021.108036_bib0041) 1994; 141 Balasubramaniam (10.1016/j.sigpro.2021.108036_bib0093) 2014; 20 Mallat (10.1016/j.sigpro.2021.108036_bib0046) 1999 Kumar (10.1016/j.sigpro.2021.108036_bib0137) 2018; 10 Li (10.1016/j.sigpro.2021.108036_bib0021) 2013; 1 Singh (10.1016/j.sigpro.2021.108036_bib0053) 2014; 264 Fang (10.1016/j.sigpro.2021.108036_bib0060) 2017; Proc. SPIE 10605 Jagalingam (10.1016/j.sigpro.2021.108036_bib0206) 2015; 4 Xi (10.1016/j.sigpro.2021.108036_bib0023) 2017 Kavitha (10.1016/j.sigpro.2021.108036_bib0059) 2012; 38 Du (10.1016/j.sigpro.2021.108036_bib0045) 2017; 26 Sun (10.1016/j.sigpro.2021.108036_bib0158) 2013; 14 Das (10.1016/j.sigpro.2021.108036_bib0025) 2013; 60 Amolins (10.1016/j.sigpro.2021.108036_bib0047) 2007; 62 Hou (10.1016/j.sigpro.2021.108036_bib0199) 2019; 57 Abi-Jaoudeh (10.1016/j.sigpro.2021.108036_bib0005) 2013; 16 Pezeshk (10.1016/j.sigpro.2021.108036_bib0211) 2017; 36 Chen (10.1016/j.sigpro.2021.108036_bib0187) 2018; 11307 Deng (10.1016/j.sigpro.2021.108036_bib0075) 2007; 6790 Soniya (10.1016/j.sigpro.2021.108036_bib0186) 2015 Kang (10.1016/j.sigpro.2021.108036_bib0181) 2020; 8 He (10.1016/j.sigpro.2021.108036_bib0160) 2010; 7 Guo (10.1016/j.sigpro.2021.108036_bib0176) 2016; 187 Singh (10.1016/j.sigpro.2021.108036_bib0012) 2018; 46 Bhateja (10.1016/j.sigpro.2021.108036_bib0073) 2015; 2 Zitová (10.1016/j.sigpro.2021.108036_bib0200) 2003; 21 Tan (10.1016/j.sigpro.2021.108036_bib0107) 2019; 2019 Viergever (10.1016/j.sigpro.2021.108036_bib0201) 2016; 33 Bhardwaj (10.1016/j.sigpro.2021.108036_bib0069) 2021 Wang (10.1016/j.sigpro.2021.108036_bib0118) 2016; 23 Tang (10.1016/j.sigpro.2021.108036_bib0026) 2016; 7 Jiang (10.1016/j.sigpro.2021.108036_bib0170) 2014; 18 Do (10.1016/j.sigpro.2021.108036_bib0084) 2005; 14 Liu (10.1016/j.sigpro.2021.108036_bib0044) 2015; 25 Shabanzade (10.1016/j.sigpro.2021.108036_bib0089) 2016 Daniel (10.1016/j.sigpro.2021.108036_bib0068) 2017; 131 Bhateja (10.1016/j.sigpro.2021.108036_bib0165) 2016; 87 He (10.1016/j.sigpro.2021.108036_bib0031) 2018; 140 Wu (10.1016/j.sigpro.2021.108036_bib0133) 2013; 301 Qiu (10.1016/j.sigpro.2021.108036_bib0108) 2017; 2017 Chai (10.1016/j.sigpro.2021.108036_bib0056) 2017; 5 Li (10.1016/j.sigpro.2021.108036_bib0083) 2011; 12 Tian (10.1016/j.sigpro.2021.108036_bib0032) 2016 Shen (10.1016/j.sigpro.2021.108036_bib0175) 2017; 19 Hermessi (10.1016/j.sigpro.2021.108036_bib0066) 2016; 684 Jin (10.1016/j.sigpro.2021.108036_bib0016) 2016; 6 Anand (10.1016/j.sigpro.2021.108036_bib0081) 2012 Liu (10.1016/j.sigpro.2021.108036_bib0120) 2015; 2015 Cheng (10.1016/j.sigpro.2021.108036_bib0052) 2008 Candès (10.1016/j.sigpro.2021.108036_bib0074) 2006; 5 Bhavana (10.1016/j.sigpro.2021.108036_bib0013) 2015; 70 Zaouali (10.1016/j.sigpro.2021.108036_bib0048) 2016; 25 Kor (10.1016/j.sigpro.2021.108036_bib0057) 2005; 3 Das (10.1016/j.sigpro.2021.108036_bib0067) 2009 Shahdoosti (10.1016/j.sigpro.2021.108036_bib0111) 2018; 77 Zheng (10.1016/j.sigpro.2021.108036_bib0051) 2007; 8 Mostapha (10.1016/j.sigpro.2021.108036_bib0191) 2019 Zhao (10.1016/j.sigpro.2021.108036_bib0122) 2014; 24 Yang (10.1016/j.sigpro.2021.108036_bib0131) 2019; 23 Mukhopadhyay (10.1016/j.sigpro.2021.108036_bib0168) 2001; 34 Assareh (10.1016/j.sigpro.2021.108036_bib0140) 2009 Liu (10.1016/j.sigpro.2021.108036_bib0145) 2020; 32 Meng (10.1016/j.sigpro.2021.108036_bib0163) 2014; 10 Li (10.1016/j.sigpro.2021.108036_bib0124) 2021; 178 Velmurugan (10.1016/j.sigpro.2021.108036_bib0034) 2018; 28 Singh (10.1016/j.sigpro.2021.108036_bib0185) 2019; 798 Tang (10.1016/j.sigpro.2021.108036_bib0180) 2019; 2019 Tirupal (10.1016/j.sigpro.2021.108036_bib0136) 2019; 799 Sui (10.1016/j.sigpro.2021.108036_bib0153) 2010; 51 Al-Azzawi (10.1016/j.sigpro.2021.108036_bib0088) 2010; 07 Easley (10.1016/j.sigpro.2021.108036_bib0099) 2008; 25 Biswas (10.1016/j.sigpro.2021.108036_bib0138) 2017 Mishra (10.1016/j.sigpro.2021.108036_bib0117) 2018 B. Sehgal (10.1016/j.sigpro.2021.108036_bib0114) 2004 Chinmayi (10.1016/j.sigpro.2021.108036_bib0204) 2016 Jacques (10.1016/j.sigpro.2021.108036_bib0070) 2011; 91 Kiran Kumar (10.1016/j.sigpro.2021.108036_bib0080) 2009; 25 Wu (10.1016/j.sigpro.2021.108036_bib0029) 2014 Feng (10.1016/j.sigpro.2021.108036_bib0188) 2019; 7 Himanshi (10.1016/j.sigpro.2021.108036_bib0077) 2016; 379 Lai (10.1016/j.sigpro.2021.108036_bib0015) 2017; 10 Arif (10.1016/j.sigpro.2021.108036_bib0082) 2014 Calhoun (10.1016/j.sigpro.2021.108036_bib0151) 2009; 13 Cheng (10.1016/j.sigpro.2021.108036_bib0102) 2018; 310 Kavitha (10.1016/j.sigpro.2021.108036_bib0033) 2018; 28 Lewis (10.1016/j.sig |
| References_xml | – volume: 32 start-page: e5632 year: 2020 ident: bib0145 article-title: Medical image fusion method by using laplacian pyramid and convolutional sparse representation publication-title: Concurrency and Computation: Practice and Experience – start-page: 45 year: 2014 end-page: 51 ident: bib0082 article-title: Maximizing information of multimodality brain image fusion using curvelet transform with genetic Algorithm publication-title: :2014 International Conference on Computer Assisted System in Health – start-page: 472 year: 2016 end-page: 477 ident: bib0089 article-title: Multimodal image fusion via sparse representation and clustering-based dictionary learning algorithm in NonSubsampled Contourlet domain publication-title: :2016 8th International Symposium on Telecommunications (IST) – volume: 16 start-page: 1850037 year: 2018 ident: bib0101 article-title: Remote sensing image fusion via RPCA and adaptive PCNN in NSST domain publication-title: Int J Wavelets Multiresolut Inf Process – volume: 39 start-page: 173 year: 2017 end-page: 180 ident: bib0135 article-title: Multimodal medical image fusion based on Sugeno’s intuitionistic fuzzy sets publication-title: ETRI Journal – volume: 880 start-page: 548 year: 2019 end-page: 556 ident: bib0019 article-title: Non-subsampled complex wavelet transform based medical image fusion publication-title: :Proceedings of the Future Technologies Conference (FTC) 2018. FTC 2018. Advances in Intelligent Systems and Computing – volume: 3 year: 2005 ident: bib0040 article-title: Comparative image fusion analysais publication-title: :2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05) - Workshops – volume: 33 start-page: 100 year: 2017 end-page: 112 ident: bib0006 article-title: Pixel-level image fusion: a survey of the state of the art publication-title: Information Fusion – volume: 12 start-page: 74 year: 2011 end-page: 84 ident: bib0083 article-title: Performance comparison of different multi-resolution transforms for image fusion publication-title: Information Fusion – volume: 60 start-page: 319 year: 2019 end-page: 327 ident: bib0105 article-title: Feature level MRI fusion based on 3D dual tree compactly supported shearlet transform publication-title: J Vis Commun Image Represent – volume: 484 start-page: 372 year: 2014 end-page: 381 ident: bib0090 article-title: Medical image fusion by combining nonsubsampled contourlet transform and sparse representation publication-title: :Li S., Liu C., Wang Y. (eds) Pattern Recognition. CCPR 2014. Communications in Computer and Information Science – volume: 42 start-page: 158 year: 2018 end-page: 173 ident: bib0007 article-title: Deep learning for pixel-level image fusion: recent advances and future prospects publication-title: Information Fusion – start-page: 1 year: 2016 end-page: 5 ident: bib0024 article-title: Medical image fusion of different modalities using dual tree complex wavelet transform with PCA publication-title: :2016 International Conference on Circuits, Controls, Communications and Computing (I4C) – volume: 798 start-page: 53 year: 2019 end-page: 66 ident: bib0185 article-title: Feature learning using stacked autoencoder for shared and multimodal fusion of medical images publication-title: Computational Intelligence: Theories, Applications and Future Directions - Volume I. Advances in Intelligent Systems and Computing – volume: 8 start-page: 338 year: 1965 end-page: 353 ident: bib0127 article-title: Fuzzy sets publication-title: Information and Control – volume: 23 start-page: 542 year: 2013 end-page: 554 ident: bib0167 article-title: Morphological image fusion using the extracted image regions and details based on multi-scale top-hat transform and toggle contrast operator publication-title: Digit Signal Process – volume: 13 start-page: 10 year: 2012 end-page: 19 ident: bib0143 article-title: Pixel-level image fusion with simultaneous orthogonal matching pursuit publication-title: Information Fusion – start-page: 269 year: 2009 end-page: 274 ident: bib0067 article-title: Evolutionary algorithm based automated medical image fusion technique: Comparative study with fuzzy fusion approach publication-title: : 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), Coimbatore – volume: 16 start-page: 3735 year: 2016 end-page: 3745 ident: bib0094 article-title: Multimodal sensor medical image fusion based on type-2 fuzzy logic in NSCT domain publication-title: IEEE Sens J – start-page: 2453 year: 2018 end-page: 2458 ident: bib0078 article-title: Multi-modal medical image fusion using curvelet Algorithm publication-title: :2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) – volume: 19 start-page: 49 year: 2014 end-page: 60 ident: bib0054 article-title: Fusion of multimodal medical images using daubechies complex wavelet transform – A multiresolution approach publication-title: Information Fusion – start-page: 1047 year: 2021 end-page: 1057 ident: bib0069 article-title: Multimodal medical image fusion based on discrete wavelet transform and genetic algorithm publication-title: International Conference on Innovative Computing and Communications – volume: 10 start-page: 7571 year: 2014 end-page: 7578 ident: bib0163 article-title: A new image fusion approach using ihs and wavelet transform for cbf and ct images publication-title: Journal of Computational Information Systems – volume: 39 start-page: 298 year: 2007 end-page: 318 ident: bib0095 article-title: Optimally sparse multidimensional representation using shearlets publication-title: SIAM J. Math. Anal. – volume: 19 start-page: 1950004 year: 2019 ident: bib0104 article-title: Color PET-MRI medical image fusion combining matching regional spectrum in shearlet domain publication-title: Int J Image Graph – volume: 25 start-page: 206 year: 2015 end-page: 212 ident: bib0044 article-title: Medical image fusion based on improved sum-modified-laplacian publication-title: Int J Imaging Syst Technol – volume: 14 start-page: 2091 year: 2005 end-page: 2106 ident: bib0084 article-title: The contourlet transform: an efficient directional multiresolution image representation publication-title: IEEE Trans. Image Process. – volume: 17 start-page: 1 year: 2016 end-page: 16 ident: bib0195 article-title: Remote sensing image fusion with convolutional neural network publication-title: Sens Imaging – start-page: 1 year: 2018 end-page: 13 ident: bib0198 article-title: A novel improved deep convolutional neural network model for medical image fusion publication-title: Cluster Comput – volume: 28 start-page: 120 year: 2018 ident: bib0033 article-title: Modified dual channel PCNN algorithm with hybrid edge enhancement approach for multimodality brain image fusion publication-title: Int J Biomed Eng Technol – year: 2004 ident: bib0166 article-title: Morphological Image Analysis : Principles and Applications – start-page: 448 year: 2014 end-page: 453 ident: bib0011 article-title: Medical image fusion with Laplacian Pyramids publication-title: :2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom) – volume: Proc. SPIE 10605 start-page: 1060517 year: 2017 ident: bib0060 article-title: Brain MRI tumor image fusion combined with Shearlet and wavelet publication-title: :LIDAR Imaging Detection and Target Recognition 2017 – volume: 16 start-page: 168 year: 2013 end-page: 176 ident: bib0005 article-title: Image fusion during vascular and nonvascular image-guided procedures publication-title: Tech Vasc Interv Radiol – volume: 178 start-page: 107793 year: 2021 ident: bib0124 article-title: A novel fusion method based on dynamic threshold neural p systems and nonsubsampled contourlet transform for multi-modality medical images publication-title: Signal Processing – volume: 63 start-page: 487 year: 2017 end-page: 498 ident: bib0184 article-title: Nonlinear feature transformation and deep fusion for Alzheimer’s disease staging analysis publication-title: Pattern Recognit – volume: 57 start-page: 887 year: 2019 end-page: 900 ident: bib0199 article-title: Brain CT and MRI medical image fusion using convolutional neural networks and a dual-channel spiking cortical model publication-title: Medical & Biological Engineering & Computing – volume: 31 start-page: e5632 year: 2020 ident: bib0202 article-title: Deep learning in medical image registration: a survey publication-title: Mach Vis Appl – volume: 17 start-page: 6995 year: 2017 end-page: 7010 ident: bib0161 article-title: Fusion of PET and MR brain images based on IHS and log-gabor transforms publication-title: IEEE Sens J – volume: 8 start-page: 208 year: 2007 end-page: 216 ident: bib0205 article-title: Subjective tests for image fusion evaluation and objective metric validation publication-title: Information Fusion – start-page: 1 year: 2019 end-page: 22 ident: bib0172 article-title: A survey of deep learning and its applications: anew paradigm to machine learning publication-title: Arch. Comput. Methods Eng. – volume: 28 start-page: 322 year: 2018 ident: bib0034 article-title: Multimodality image fusion using centre-based genetic algorithm and fuzzy logic publication-title: Int J Biomed Eng Technol – volume: 264 start-page: 505 year: 2014 end-page: 515 ident: bib0053 article-title: Redundant discrete wavelet transform based medical image fusion publication-title: :Advances in Intelligent Systems and Computing – start-page: 71 year: 2009 end-page: 75 ident: bib0126 article-title: Multi-kernel svm based classification for tumor segmentation by fusion of mri images publication-title: : 2009 IEEE International Workshop on Imaging Systems and Techniques, Shenzhen – start-page: 1 year: 2017 end-page: 6 ident: bib0023 article-title: Multimodal medical volumetric image fusion based on multi-feature in 3-D shearlet transform publication-title: 2017 International Smart Cities Conference (ISC2) – volume: 33 start-page: 238 year: 2003 end-page: 243 ident: bib0210 article-title: Role of fusion in radiotherapy treatment planning publication-title: Semin Nucl Med – volume: 40 start-page: 1708 year: 2013 end-page: 1720 ident: bib0113 article-title: Human visual system inspired multi-modal medical image fusion framework publication-title: Expert Syst Appl – start-page: 2672 year: 2014 end-page: 2680 ident: bib0179 article-title: Generative adversarial nets publication-title: Adv. Neural Inf. Process. Syst., NIPS 2014 – volume: 15 start-page: 6 year: 2010 end-page: 12 ident: bib0010 article-title: Review of pixel-level image fusion publication-title: Journal of Shanghai Jiaotong University (Science) – volume: 17 start-page: 604 year: 2011 end-page: 639 ident: bib0097 article-title: Irregular shearlet frames: geometry and approximation properties publication-title: Journal of Fourier Analysis and Applications – volume: 77 start-page: 8327 year: 2018 end-page: 8358 ident: bib0103 article-title: Multi-focus image fusion based on nonsubsampled compactly supported shearlet transform publication-title: Multimed Tools Appl – volume: 4 start-page: 3623 year: 2012 end-page: 3627 ident: bib0164 article-title: Medical image fusion and segmentation using coarse-to-fine level set with Brovey transform fusion publication-title: Research Journal of Applied Sciences, Engineering and Technology – volume: 8 start-page: 6368 year: 2020 end-page: 6378 ident: bib0181 article-title: Fusion of brain PET and MRI images using tissue-Aware conditional generative adversarial network with joint loss publication-title: IEEE Access – volume: 20 start-page: 21 year: 2014 end-page: 30 ident: bib0093 article-title: Image fusion using intuitionistic fuzzy sets publication-title: Information Fusion – volume: 40 start-page: 57 year: 2018 end-page: 75 ident: bib0141 article-title: Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: a review publication-title: Information Fusion – start-page: 6155 year: 2017 end-page: 6159 ident: bib0178 article-title: A deep-learning approach to translate between brain structure and functional connectivity publication-title: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) – volume: 2018 start-page: 1 year: 2018 end-page: 13 ident: bib0182 article-title: Deep learning for computer vision: A Brief review publication-title: Comput Intell Neurosci – volume: 95 start-page: 64 year: 2019 end-page: 81 ident: bib0193 article-title: Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review publication-title: Artif Intell Med – volume: 13 start-page: 410 year: 2001 end-page: 424 ident: bib0129 article-title: A general framework for the fusion of anatomical and functional medical images publication-title: Neuroimage – volume: 41 start-page: 620 year: 2016 end-page: 628 ident: bib0004 article-title: Image fusion and navigation platforms for percutaneous image-guided interventions publication-title: Abdominal Radiology – volume: 68 start-page: 49 year: 2019 end-page: 64 ident: bib0106 article-title: Medical image fusion with parameter-adaptive pulse coupled neural network in nonsubsampled shearlet transform domain publication-title: IEEE Trans Instrum Meas – volume: 72 start-page: 203 year: 2008 end-page: 211 ident: bib0055 article-title: Multimodality medical image fusion based on multiscale geometric analysis of contourlet transform publication-title: Neurocomputing – volume: 38 start-page: 211 year: 2014 end-page: 219 ident: bib0087 article-title: MRI-PET Image fusion based on NSCT transform using local energy and local variance fusion rules publication-title: Journal of Medical Engineering & Technology – start-page: 105 year: 1999 end-page: 120 ident: bib0072 article-title: Curvelets : A surprisingly effective nonadaptive representation for objects with edges publication-title: :A.Cohen, C. Rabut,L.L.Schumaker(Eds.), Curves and Surfaces – volume: 301 start-page: 33 year: 2013 end-page: 48 ident: bib0133 article-title: Two differences between interval Type-2 and Type-1 fuzzy logic controllers: adaptiveness and novelty publication-title: : Advances in Type-2 Fuzzy Sets and Systems. Studies in Fuzziness and Soft Computing – volume: 44 start-page: 087003 year: 2005 ident: bib0215 article-title: Objective evaluation of signal-level image fusion performance publication-title: Opt. Eng. – volume: 19 start-page: 4 year: 2014 end-page: 19 ident: bib0009 article-title: Medical image fusion: a survey of the state of the art publication-title: Information Fusion – start-page: 1552 year: 2010 end-page: 1556 ident: bib0130 article-title: Neuro-fuzzy logic based fusion algorithm of medical images publication-title: : 2010 3rd International Congress on Image and Signal Processing – start-page: 1420 year: 2016 end-page: 1424 ident: bib0037 article-title: Survey on multifocus image fusion techniques publication-title: :2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) – start-page: 2708 year: 2004 end-page: 2712 ident: bib0061 article-title: Medical diagnostic image data fusion based on wavelet transformation and self-organising features mapping neural networks publication-title: : Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), Shanghai, China – volume: 15 start-page: 3089 year: 2006 end-page: 3101 ident: bib0085 article-title: The nonsubsampled contourlet transform: theory, design, and applications publication-title: IEEE Trans. Image Process. – volume: 28 start-page: 808 year: 2017 end-page: 816 ident: bib0091 article-title: Medical image fusion algorithm based on human visual features and adaptive PCNN publication-title: Journal of Optoelectronics Laser – volume: 23 start-page: 1647 year: 2019 end-page: 1660 ident: bib0131 article-title: Multimodal medical image fusion based on fuzzy discrimination with structural patch decomposition publication-title: IEEE J Biomed Health Inform – volume: 42 start-page: 60 year: 2017 end-page: 88 ident: bib0174 article-title: A survey on deep learning in medical image analysis publication-title: Med Image Anal – volume: 22 start-page: 033028 year: 2013 ident: bib0112 article-title: Algorithm for image fusion based on orthogonal grouplet transform and pulse-coupled neural network publication-title: J Electron Imaging – volume: 4 start-page: 133 year: 2015 end-page: 142 ident: bib0206 article-title: A review of quality metrics for fused image publication-title: Aquat. Procedia – volume: 91 start-page: 2699 year: 2011 end-page: 2730 ident: bib0070 article-title: A panorama on multiscale geometric representations, intertwining spatial, directional and frequency selectivity publication-title: Signal Processing – volume: 6 start-page: 9375 year: 2017 end-page: 9379 ident: bib0173 article-title: Deep learning applications in medical image analysis publication-title: IEEE Access – volume: 18 start-page: 107 year: 2014 end-page: 118 ident: bib0170 article-title: Image fusion with morphological component analysis publication-title: Information Fusion – volume: 215 start-page: 3 year: 2016 end-page: 20 ident: bib0003 article-title: An overview of multi-modal medical image fusion publication-title: Neurocomputing – volume: 23 start-page: 659 year: 2016 end-page: 671 ident: bib0118 article-title: Review of image fusion based on pulse-Coupled neural network publication-title: Arch. Comput. Methods Eng. – volume: 101 start-page: 569 year: 2014 end-page: 582 ident: bib0177 article-title: Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis publication-title: Neuroimage – volume: 8 start-page: 119 year: 2007 end-page: 130 ident: bib0043 article-title: Pixel and region-based image fusion with complex wavelets publication-title: Information Fusion – volume: 172 start-page: 1 year: 2018 end-page: 11 ident: bib0030 article-title: Structure-aware image fusion publication-title: Optik (Stuttg) – volume: 38 start-page: 71 year: 2018 end-page: 89 ident: bib0008 article-title: Medical image registration in image guided surgery: issues, challenges and research opportunities publication-title: Biocybernetics and Biomedical Engineering – volume: 34 start-page: 94 year: 2012 end-page: 109 ident: bib0207 article-title: Objective assessment of multiresolution image fusion algorithms for context enhancement in night vision: a comparative study publication-title: IEEE Trans Pattern Anal Mach Intell – start-page: 266 year: 2017 end-page: 269 ident: bib0017 article-title: Fusion of multimodal abdominal cancerous images and classification using support vector machine publication-title: : 2017 International Conference on Intelligent Sustainable Systems (ICISS) – volume: 153 start-page: 379 year: 2018 end-page: 395 ident: bib0119 article-title: Multimodal sensor medical image fusion based on nonsubsampled shearlet transform and S-PCNNs in HSV space publication-title: Signal Processing – volume: 13 start-page: 711 year: 2009 end-page: 720 ident: bib0151 article-title: Feature-Based fusion of medical imaging data publication-title: IEEE Trans. Inf. Technol. Biomed. – volume: 21 start-page: 977 year: 2003 end-page: 1000 ident: bib0200 article-title: Image registration methods: a survey publication-title: Image Vis Comput – volume: 12 year: 2012 ident: bib0154 article-title: Improved image fusion method based on NSCT and accelerated NMF publication-title: Sensors (Basel, Switzerland) – start-page: 1 year: 2018 end-page: 4 ident: bib0117 article-title: On combination of fuzzy memberships for medical image fusion using NSST based Fuzzy-PCNN publication-title: : 2018 Fifth International Conference on Emerging Applications of Information Technology (EAIT) – volume: 2015 start-page: 206 year: 2015 end-page: 214 ident: bib0120 article-title: Medical image fusion based on rolling guidance filter and spiking cortical model publication-title: Comput Math Methods Med – volume: 8 start-page: 114 year: 2007 end-page: 118 ident: bib0028 article-title: Image fusion: advances in the state of the art publication-title: Information Fusion – volume: 24 start-page: 221 year: 2014 end-page: 228 ident: bib0122 article-title: Multimodal medical image fusion using improved multi-channel PCNN publication-title: Biomed Mater Eng – volume: 196 start-page: 105603 year: 2020 ident: bib0159 article-title: An adaptive two-scale biomedical image fusion method with statistical comparisons publication-title: Comput Methods Programs Biomed – volume: 125 start-page: 4751 year: 2014 end-page: 4757 ident: bib0148 article-title: Iterative block level principal component averaging medical image fusion publication-title: Optik (Stuttg) – volume: 19 start-page: 221 year: 2017 end-page: 248 ident: bib0175 article-title: Deep learning in medical image analysis publication-title: Annu Rev Biomed Eng – volume: 79 start-page: 9 year: 2018 end-page: 22 ident: bib0035 article-title: Multimodal image fusion using sparse representation classification in tetrolet domain publication-title: Digit Signal Process – volume: 2 start-page: 78 year: 2015 end-page: 91 ident: bib0073 article-title: Medical image fusion in wavelet and ridgelet domains publication-title: International Journal of Rough Sets and Data Analysis – volume: 2019 start-page: 11 year: 2019 end-page: 26 ident: bib0180 article-title: Green fluorescent protein and phase-contrast image fusion via generative adversarial networks publication-title: Comput Math Methods Med – volume: 17 start-page: 1950023 year: 2019 ident: bib0109 article-title: Medical image fusion based on nonsubsampled shearlet transform and principal component averaging publication-title: Int J Wavelets Multiresolut Inf Process – volume: 6466 start-page: 351 year: 2010 end-page: 361 ident: bib0152 article-title: EBFS-ICA: an efficient algorithm for CT-MRI image fusion publication-title: : Swarm, Evolutionary, and Memetic Computing. SEMCCO 2010. Lecture Notes in Computer Science – start-page: 121 year: 2012 end-page: 129 ident: bib0081 article-title: Performance evaluation of image fusion using the multi-wavelet and curvelet transforms publication-title: :IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012) – volume: 50 start-page: 1105 year: 2012 end-page: 1114 ident: bib0092 article-title: NSCT-based multimodal medical image fusion using pulse-coupled neural network and modified spatial frequency publication-title: Medical & Biological Engineering & Computing – start-page: 670 year: 2007 end-page: 675 ident: bib0062 article-title: Research on Medical Image Fusion Based on Orthogonal Wavelet Packets Transformation Combined with 2v-SVM publication-title: :2007 IEEE/ICME International Conference on Complex Medical Engineering – start-page: 178 year: 2017 end-page: 183 ident: bib0014 article-title: Combination of wavelet and contourlet transforms for PET and MRI image fusion publication-title: :2017 Artificial Intelligence and Signal Processing Conference (AISP) – start-page: 264 year: 2010 end-page: 268 ident: bib0018 article-title: PET/CT medical image fusion algorithm based on multiwavelet transform publication-title: : 2nd International Conference on Advanced Computer Control – start-page: 480 year: 2009 end-page: 483 ident: bib0063 article-title: Medical image fusion based on wavelet transform and independent component analysis publication-title: :2009 International Joint Conference on Artificial Intelligence – volume: 51 start-page: 123 year: 2010 end-page: 134 ident: bib0153 article-title: A CCA publication-title: Neuroimage – volume: 57 start-page: 273 year: 2010 end-page: 286 ident: bib0076 article-title: A curvelet transform approach for the fusion of MR and CT images publication-title: J Mod Opt – start-page: 559 year: 2008 end-page: 562 ident: bib0064 article-title: Image fusion method based on fuzzy entropy and wavelet transform publication-title: : 2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop, Wuhan – volume: 7 start-page: 280 year: 2010 end-page: 285 ident: bib0160 article-title: Multimodal medical image fusion based on IHS and PCA publication-title: Procedia Eng – volume: 131 start-page: 58 year: 2017 end-page: 69 ident: bib0068 article-title: Optimum laplacian wavelet mask based medical image using hybrid cuckoo search – grey wolf optimization algorithm publication-title: Knowl Based Syst – volume: 6 start-page: 1314 year: 2016 end-page: 1318 ident: bib0016 article-title: Medical image fusion in gradient domain with structure tensor publication-title: J Med Imaging Health Inform – start-page: 193 year: 2009 end-page: 199 ident: bib0140 article-title: Fuzzy rule base classifier fusion for protein mass spectra based ovarian cancer diagnosis publication-title: : 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology – start-page: 645 year: 2017 end-page: 649 ident: bib0149 article-title: Multi-modal medical image fusion using 2DPCA publication-title: : 2017 2nd International Conference on Image, Vision and Computing (ICIVC), Chengdu – start-page: 460 year: 2016 end-page: 471 ident: bib0204 article-title: Survey of image processing techniques in medical image analysis: challenges and methodologies publication-title: Eighth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2016) – volume: 14 start-page: 241 year: 2013 end-page: 254 ident: bib0158 article-title: Poisson image fusion based on Markov random field fusion model publication-title: Information Fusion – volume: 26 start-page: 323 year: 2018 end-page: 350 ident: bib0189 article-title: Deep learning for medical image processing: overview, challenges and the future publication-title: :Classification in BioApps. Lecture Notes in Computational Vision and Biomechanics – volume: 27 start-page: 1421 year: 2009 end-page: 1432 ident: bib0216 article-title: A new automated quality assessment algorithm for image fusion publication-title: Image Vis Comput – start-page: 49 year: 2004 end-page: 54 ident: bib0114 article-title: Support vector machine and generalized regression neural network based classification fusion models for cancer diagnosis publication-title: : Fourth International Conference on Hybrid Intelligent Systems (HIS’04), Kitakyushu, Japan – volume: 46 start-page: e1 year: 2019 end-page: e36 ident: bib0171 article-title: Deep learning in medical imaging and radiation therapy publication-title: Med Phys – volume: 799 start-page: 487 year: 2019 end-page: 499 ident: bib0136 article-title: Multimodal Medical Image Fusion Based on Fuzzy Sets with Orthogonal Teaching–Learning-Based Optimization publication-title: : A Computational Intelligence: Theories, Applications and Future Directions - Volume II. Advances in Intelligent Systems and Computing – volume: 36 start-page: 1005 year: 2017 end-page: 1015 ident: bib0211 article-title: Seamless lesion insertion for data augmentation in CAD training publication-title: IEEE Trans Med Imaging – volume: 9 start-page: 176 year: 2008 end-page: 185 ident: bib0121 article-title: Medical image fusion using m-PCNN publication-title: Information Fusion – start-page: 102 year: 2015 end-page: 107 ident: bib0128 article-title: Medical image fusion technique based on type-2 near fuzzy set publication-title: : 2015 IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) – start-page: 203 year: 2017 end-page: 207 ident: bib0147 article-title: Medical image fusion based on GPU accelerated nonsubsampled shearlet transform and 2D principal component analysis publication-title: : 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP) – start-page: 569 year: 2009 end-page: 573 ident: bib0042 article-title: Image fusion based on steerable pyramid and PCNN publication-title: :2009 Second International Conference on the Applications of Digital Information and Web Technologies – volume: 63 start-page: 17 year: 2014 end-page: 23 ident: bib0058 article-title: Fusion of SPECT and MRI images using integer wavelet transform in combination with curvelet transform publication-title: The Imaging Science Journal – volume: 24 start-page: 147 year: 2015 end-page: 164 ident: bib0142 article-title: A general framework for image fusion based on multi-scale transform and sparse representation publication-title: Information Fusion – start-page: 1 year: 2015 end-page: 6 ident: bib0186 article-title: A review on advances in deep learning publication-title: 2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions (WCI) – start-page: 175 year: 2008 end-page: 178 ident: bib0169 article-title: Medical image fusion with a shift-invariant morphological wavelet publication-title: 2008 IEEE Conference on Cybernetics and Intelligent Systems – start-page: 1326 year: 2016 end-page: 1329 ident: bib0020 article-title: A survey on multi-modality medical image fusion publication-title: :Proceedings of the 2016 IEEE International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2016 – volume: 5 start-page: 861 year: 2006 end-page: 899 ident: bib0074 article-title: Fast discrete curvelet transforms publication-title: Multiscale Modeling & Simulation – volume: 10 start-page: 355— year: 2017 end-page: 362 ident: bib0134 article-title: CT And MRI image fusion based on discrete wavelet transform and Type-2 fuzzy logic publication-title: International Journal of Intelligent Engineering and Systems – volume: 7 start-page: 63605 year: 2019 end-page: 63618 ident: bib0188 article-title: Deep learning framework for Alzheimer’s disease diagnosis via 3D-CNN and FSBi-LSTM publication-title: IEEE Access – volume: 5 start-page: 16040 year: 2017 end-page: 16067 ident: bib0039 article-title: From multi-scale decomposition to non-multi-scale decomposition methods: A Comprehensive survey of image fusion techniques and its applications publication-title: IEEE Access – volume: 34 start-page: 1508 year: 2008 end-page: 1514 ident: bib0208 article-title: Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in nonsubsampled contourlet transform domain publication-title: Acta Autom. Sin. – volume: 10 start-page: 178 year: 2017 end-page: 184 ident: bib0015 article-title: Medical image fusion combined with accelerated non-negative matrix factorization and expanded laplacian energy in shearlet domain publication-title: Journal of Engineering Science and Technology Review – volume: 25 start-page: 105 year: 2009 end-page: 108 ident: bib0080 article-title: Three-band MRI image fusion: a curvelet transform approach publication-title: :Dössel O., Schlegel W.C. (eds) World Congress on Medical Physics and Biomedical Engineering, September 7, - 12, 2009, Munich, Germany – volume: 38 start-page: 813 year: 2012 end-page: 820 ident: bib0059 article-title: Medical image fusion using combined discrete wavelet and ripplet transforms publication-title: Procedia Eng – volume: 1 start-page: 541 year: 1989 end-page: 551 ident: bib0190 article-title: Backpropagation applied to handwritten zip code recognition publication-title: Neural Comput – volume: 3 start-page: 1479 year: 2005 end-page: 1482 ident: bib0057 article-title: Feature level fusion of multimodal medical images in lifting wavelet transform domain publication-title: :The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society – start-page: 799 year: 2016 end-page: 804 ident: bib0032 article-title: Multimodal medical image fusion based on nonsubsampled contourlet transform using improved PCNN publication-title: :2016 IEEE 13th International Conference on Signal Processing (ICSP) – volume: 5914 start-page: 59140U year: 2005 ident: bib0096 article-title: Sparse multidimensional representation using shearlets publication-title: : Wavelets XI – volume: 5 start-page: 6724 year: 2017 end-page: 6734 ident: bib0056 article-title: Image fusion using quaternion wavelet transform and multiple features publication-title: IEEE Access – volume: 70 start-page: 625 year: 2015 end-page: 631 ident: bib0013 article-title: Multi-Modality medical image fusion using discrete wavelet transform publication-title: Procedia Comput Sci – start-page: 1 year: 2017 end-page: 7 ident: bib0196 article-title: A medical image fusion method based on convolutional neural networks publication-title: 20th International Conference on Information Fusion, Fusion 2017 - Proceedings – volume: 26 start-page: 5855 year: 2017 end-page: 5866 ident: bib0045 article-title: Anatomical-functional image fusion by information of interest in local laplacian filtering domain publication-title: IEEE Trans. Image Process. – volume: 11 start-page: 114 year: 2010 end-page: 123 ident: bib0123 article-title: Mri and pet image fusion by combining ihs and retina-inspired models publication-title: Information Fusion – volume: 11307 start-page: 358 year: 2018 end-page: 368 ident: bib0187 article-title: A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI publication-title: Neural Information Processing. ICONIP 2018. Lecture Notes in Computer Science – volume: 328 start-page: 475 year: 2015 end-page: 482 ident: bib0071 article-title: PCA based medical image fusion in ridgelet domain publication-title: :Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014 – volume: 33 start-page: 140 year: 2016 end-page: 144 ident: bib0201 article-title: A survey of medical image registration publication-title: Med Image Anal – volume: 2019 start-page: 1 year: 2019 end-page: 14 ident: bib0107 article-title: Medical image fusion based on fast finite shearlet transform and sparse representation publication-title: Comput Math Methods Med – volume: 77 start-page: 649 year: 2018 end-page: 670 ident: bib0111 article-title: MRI And PET image fusion using structure tensor and dual ripplet-II transform publication-title: Multimed Tools Appl – volume: 46 start-page: 281 year: 2018 end-page: 292 ident: bib0012 article-title: Ripplet domain fusion approach for ct and mr medical image information publication-title: Biomed Signal Process Control – start-page: 1 year: 2010 end-page: 4 ident: bib0213 article-title: Quality Assessment of Image Fusion Based on Image Content and Structural Similarity publication-title: 2010 2nd International Conference on Information Engineering and Computer Science – start-page: 2523 year: 2008 end-page: 2525 ident: bib0052 article-title: Medical image of PET/CT weighted fusion based on wavelet transform publication-title: :2008 2nd International Conference on Bioinformatics and Biomedical Engineering – volume: 32, Part A start-page: 75 year: 2016 end-page: 89 ident: bib0001 article-title: A review of remote sensing image fusion methods publication-title: Information Fusion – volume: 10 start-page: 1750001 year: 2017 ident: bib0157 article-title: A novel image fusion algorithm based on 2D scale-mixing complex wavelet transform and bayesian MAP estimation for multimodal medical images publication-title: J Innov Opt Health Sci – start-page: 1422 year: 2013 end-page: 1425 ident: bib0038 article-title: Review of image fusion algorithm based on multiscale decomposition publication-title: :Proceedings 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer (MEC) – volume: 27 start-page: 198 year: 2016 end-page: 214 ident: bib0144 article-title: Joint patch clustering-based dictionary learning for multimodal image fusion publication-title: Information Fusion – year: 1999 ident: bib0046 article-title: A Wavelet Tour of Signal Processing – volume: 37 start-page: 1855 year: 2004 end-page: 1872 ident: bib0050 article-title: A wavelet-based image fusion tutorial publication-title: Pattern Recognit – volume: 728 start-page: 401 year: 2017 end-page: 413 ident: bib0150 article-title: Fusion of multimodal color medical images using Quaternion Principal Component Analysis publication-title: : Data Science. ICPCSEE 2017. Communications in Computer and Information Science – volume: 23 start-page: 1882 year: 2016 end-page: 1886 ident: bib0209 article-title: Image fusion with convolutional sparse representation publication-title: IEEE Signal Process Lett – volume: 684 start-page: 161 year: 2016 end-page: 175 ident: bib0066 article-title: Multimodal image fusion based on non-subsampled shearlet transform and neuro-fuzzy publication-title: International Workshop on Representations, Analysis and Recognition of Shape and Motion FroM Imaging Data – volume: 25 start-page: 25 year: 2008 end-page: 46 ident: bib0099 article-title: Sparse directional image representations using the discrete shearlet transform publication-title: Appl Comput Harmon Anal – start-page: 743 year: 2015 end-page: 748 ident: bib0022 article-title: Comparison of Pixel-level and feature level image fusion methods publication-title: :2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom) – volume: abs/1506.00097 year: 2015 ident: bib0125 article-title: A review of feature and data fusion with medical images publication-title: CoRR – volume: 1 start-page: 341 year: 2013 end-page: 344 ident: bib0021 article-title: Review on technology of pixel-level image fusion publication-title: :Proceedings of 2013 2nd International Conference on Measurement, Information and Control, ICMIC 2013 – volume: 25 start-page: 310 year: 2015 end-page: 316 ident: bib0155 article-title: Medical image fusion based on nuclear norm minimization publication-title: Int J Imaging Syst Technol – volume: 34 start-page: 1939 year: 2001 end-page: 1949 ident: bib0168 article-title: Fusion of 2D grayscale images using multiscale morphology publication-title: Pattern Recognit – volume: 40 start-page: 219 year: 2017 end-page: 225 ident: bib0162 article-title: PET And MRI image fusion based on combination of 2-D Hilbert transform and IHS method publication-title: Biomed J – start-page: 1 year: 2017 end-page: 16 ident: bib0138 article-title: Medical image fusion using type-2 fuzzy and near-fuzzy set approach publication-title: Int. J. Comput. Appl. – volume: 62 start-page: 1132 year: 2015 end-page: 1140 ident: bib0183 article-title: Multimodal neuroimaging feature learning for multiclass diagnosis of Alzheimer’s disease publication-title: IEEE Trans. Biomed. Eng. – volume: 42 start-page: 226 year: 2018 ident: bib0192 article-title: Medical image analysis using convolutional neural networks: a review publication-title: J Med Syst – volume: 379 start-page: 1 year: 2016 end-page: 9 ident: bib0077 article-title: Medical image fusion in curvelet domain employing PCA and maximum selection rule publication-title: :Satapathy S., Raju K., Mandal J., Bhateja V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing – volume: 310 start-page: 135 year: 2018 end-page: 147 ident: bib0102 article-title: Infrared and visual image fusion using LNSST and an adaptive dual-channel PCNN with triple-linking strength publication-title: Neurocomputing – volume: 1 start-page: 1 year: 2007 end-page: 10 ident: bib0098 article-title: Construction of regular and irregular shearlet frames publication-title: J. Wavelet Theory and Appl – volume: 51 start-page: 76 year: 2018 end-page: 94 ident: bib0132 article-title: An improved multimodal medical image fusion algorithm based on fuzzy transform publication-title: J Vis Commun Image Represent – volume: 60 start-page: 3347 year: 2013 end-page: 3353 ident: bib0025 article-title: A neuro-fuzzy approach for medical image fusion publication-title: IEEE Trans. Biomed. Eng. – volume: 187 start-page: 27 year: 2016 end-page: 48 ident: bib0176 article-title: Deep learning for visual understanding: a review publication-title: Neurocomputing – volume: 182 start-page: 995 year: 2019 end-page: 1014 ident: bib0036 article-title: Multiscale fusion of multimodal medical images using lifting scheme based biorthogonal wavelet transform publication-title: Optik (Stuttg) – volume: 120 start-page: 116 year: 2019 end-page: 127 ident: bib0100 article-title: Deep feature learning for soft tissue sarcoma classification in MR images via transfer learning publication-title: Expert Syst Appl – start-page: 1 year: 2017 end-page: 6 ident: bib0203 article-title: A survey on image preprocessing techniques for diverse fields of medical imagery publication-title: 2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE) – volume: 74 start-page: 193 year: 2008 end-page: 200 ident: bib0214 article-title: Multispectral and panchromatic data fusion assessment without reference publication-title: Photogrammetric Engineering & Remote Sensing – volume: 6790 start-page: 679004 year: 2007 ident: bib0075 article-title: Multisensor image fusion using fast discrete curvelet transform publication-title: :MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications – volume: 2017 start-page: 1 year: 2017 end-page: 13 ident: bib0108 article-title: Image fusion of CT and MR with sparse representation in NSST domain publication-title: Comput Math Methods Med – start-page: 87 year: 2016 end-page: 92 ident: bib0156 article-title: Bayesian fusion: application in medical imaging publication-title: 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) – start-page: 358 year: 2014 end-page: 367 ident: bib0029 article-title: Survey of Multi-sensor Image Fusion publication-title: :International Conference on Life System Modeling and Simulation and International Conference on Intelligent Computing for Sustainable Energy and Environment – volume: 99 start-page: 142 year: 2018 end-page: 153 ident: bib0079 article-title: Curvelet transform-based volume fusion for correcting signal loss artifacts in time-of-Flight magnetic resonance angiography data publication-title: Comput. Biol. Med. – volume: 11 start-page: 73 year: 2018 end-page: 84 ident: bib0116 article-title: Medical image fusion using PCNN and poisson-hidden markov model publication-title: International Journal of Signal and Imaging Systems Engineering – volume: 8 start-page: 177 year: 2007 end-page: 192 ident: bib0051 article-title: A new metric based on extended spatial frequency and its application to DWT based fusion algorithms publication-title: Information Fusion – start-page: 0592 year: 2015 end-page: 0596 ident: bib0086 article-title: Multimodal medical image fusion under nonsubsampled contourlet transform domain publication-title: :2015 International Conference on Communications and Signal Processing (ICCSP) – volume: 25 start-page: 061617 year: 2016 ident: bib0048 article-title: Review of multiscale geometric decompositions in a remote sensing context publication-title: J Electron Imaging – volume: 87 start-page: 074303 year: 2016 ident: bib0165 article-title: Multispectral medical image fusion in Contourlet domain for computer based diagnosis of Alzheimer’s disease publication-title: Rev. Sci. Instrum. – volume: 45 start-page: 153 year: 2019 end-page: 178 ident: bib0002 article-title: Infrared and visible image fusion methods and applications: a survey publication-title: Information Fusion – volume: 25 start-page: 164 year: 2007 end-page: 171 ident: bib0139 article-title: A framework of fuzzy information fusion for the segmentation of brain tumor tissues on MR images publication-title: Image Vis Comput – volume: 48 start-page: 119 year: 2019 end-page: 132 ident: bib0027 article-title: A survey on region based image fusion methods publication-title: Information Fusion – year: 2019 ident: bib0191 article-title: Role of deep learning in infant brain MRI analysis publication-title: Magn Reson Imaging – start-page: 449 year: 2018 end-page: 454 ident: bib0212 article-title: Comparison of Medical Image Fusion Methods using Image Quality Metrics publication-title: 2018 International Conference on Communication, Computing and Internet of Things (IC3IoT) – start-page: 1 year: 2014 end-page: 6 ident: bib0065 article-title: CT and MRI image fusion based on wavelet transform and neuro-fuzzy concepts with quantitative analysis publication-title: 2014 International Conference on Electronics and Communication Systems, ICECS 2014 – volume: 7 start-page: 1306 year: 2016 end-page: 1316 ident: bib0026 article-title: Nsct-based multimodal medical image fusion with sparse representation and pulse coupled neural network publication-title: Journal of Information Hiding and Multimedia Signal Processing – start-page: 1 year: 2011 end-page: 6 ident: bib0146 article-title: Image fusion using hierarchical PCA. publication-title: : 2011 International Conference on Image Information Processing, Shimla – volume: 07 start-page: 99 year: 2010 end-page: 107 ident: bib0088 article-title: Improved CT-MR image fusion scheme using dual tree complex contourlet transform based on PCA publication-title: International Journal of Information Acquisition – volume: 3 start-page: 91 year: 2002 end-page: 102 ident: bib0115 article-title: Information fusion approach to microcalcification characterization publication-title: Information Fusion – volume: 30 start-page: 2029 year: 2018 end-page: 2045 ident: bib0197 article-title: Convolutional neural network-based multimodal image fusion via similarity learning in the shearlet domain publication-title: Neural Computing and Applications – start-page: 148 year: 2015 end-page: 153 ident: bib0110 article-title: Medical image fusion by combining SVD and shearlet transform publication-title: : 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN) – volume: 141 start-page: 137 year: 1994 end-page: 142 ident: bib0041 article-title: Multiresolution morphological fusion of MR and CT images of the human brain publication-title: IEE Proceedings - Vision, Image and Signal Processing – volume: 140 start-page: 225 year: 2018 end-page: 265 ident: bib0031 article-title: Computer-aided prognosis: accurate prediction of patients with neurologic and psychiatric diseases via multi-modal MRI analysis publication-title: :Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging. Intelligent Systems Reference Library – volume: 10 start-page: 295 year: 2018 end-page: 306 ident: bib0137 article-title: Improved image fusion of colored and grayscale medical images based on intuitionistic fuzzy sets publication-title: Fuzzy Inf. Eng. – start-page: 114 year: 2018 end-page: 123 ident: bib0049 article-title: A Review of Image Fusion Techniques publication-title: :2018 Second International Conference on Computing Methodologies and Communication (ICCMC) – volume: 62 start-page: 249 year: 2007 end-page: 263 ident: bib0047 article-title: Wavelet based image fusion techniques – An introduction, review and comparison publication-title: ISPRS J. Photogramm. Remote Sens. – volume: 36 start-page: 191 year: 2017 end-page: 207 ident: bib0194 article-title: Multi-focus image fusion with a deep convolutional neural network publication-title: Information Fusion – volume: 23 start-page: 659 issue: 4 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0118 article-title: Review of image fusion based on pulse-Coupled neural network publication-title: Arch. Comput. Methods Eng. doi: 10.1007/s11831-015-9154-z – start-page: 1420 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0037 article-title: Survey on multifocus image fusion techniques – start-page: 480 year: 2009 ident: 10.1016/j.sigpro.2021.108036_bib0063 article-title: Medical image fusion based on wavelet transform and independent component analysis – start-page: 1 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0198 article-title: A novel improved deep convolutional neural network model for medical image fusion publication-title: Cluster Comput – start-page: 1 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0065 article-title: CT and MRI image fusion based on wavelet transform and neuro-fuzzy concepts with quantitative analysis – volume: 42 start-page: 226 issue: 11 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0192 article-title: Medical image analysis using convolutional neural networks: a review publication-title: J Med Syst doi: 10.1007/s10916-018-1088-1 – volume: 301 start-page: 33 year: 2013 ident: 10.1016/j.sigpro.2021.108036_bib0133 article-title: Two differences between interval Type-2 and Type-1 fuzzy logic controllers: adaptiveness and novelty doi: 10.1007/978-1-4614-6666-6_3 – volume: 182 start-page: 995 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0036 article-title: Multiscale fusion of multimodal medical images using lifting scheme based biorthogonal wavelet transform publication-title: Optik (Stuttg) doi: 10.1016/j.ijleo.2018.12.028 – volume: 51 start-page: 123 issue: 1 year: 2010 ident: 10.1016/j.sigpro.2021.108036_bib0153 article-title: A CCA + ICA based model for multi-task brain imaging data fusion and its application to schizophrenia publication-title: Neuroimage doi: 10.1016/j.neuroimage.2010.01.069 – volume: 32, Part A start-page: 75 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0001 article-title: A review of remote sensing image fusion methods publication-title: Information Fusion doi: 10.1016/j.inffus.2016.03.003 – start-page: 449 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0212 article-title: Comparison of Medical Image Fusion Methods using Image Quality Metrics – volume: 11 start-page: 73 issue: 2 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0116 article-title: Medical image fusion using PCNN and poisson-hidden markov model publication-title: International Journal of Signal and Imaging Systems Engineering doi: 10.1504/IJSISE.2018.091883 – volume: Proc. SPIE 10605 start-page: 1060517 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0060 article-title: Brain MRI tumor image fusion combined with Shearlet and wavelet – volume: 15 start-page: 6 issue: 1 year: 2010 ident: 10.1016/j.sigpro.2021.108036_bib0010 article-title: Review of pixel-level image fusion publication-title: Journal of Shanghai Jiaotong University (Science) doi: 10.1007/s12204-010-7186-y – volume: 62 start-page: 1132 issue: 4 year: 2015 ident: 10.1016/j.sigpro.2021.108036_bib0183 article-title: Multimodal neuroimaging feature learning for multiclass diagnosis of Alzheimer’s disease publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2014.2372011 – volume: 11307 start-page: 358 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0187 article-title: A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI – volume: 28 start-page: 808 issue: 7 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0091 article-title: Medical image fusion algorithm based on human visual features and adaptive PCNN publication-title: Journal of Optoelectronics Laser – volume: 39 start-page: 173 issue: 2 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0135 article-title: Multimodal medical image fusion based on Sugeno’s intuitionistic fuzzy sets publication-title: ETRI Journal doi: 10.4218/etrij.17.0116.0568 – volume: 10 start-page: 355— issue: 3 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0134 article-title: CT And MRI image fusion based on discrete wavelet transform and Type-2 fuzzy logic publication-title: International Journal of Intelligent Engineering and Systems doi: 10.22266/ijies2017.0630.40 – start-page: 175 year: 2008 ident: 10.1016/j.sigpro.2021.108036_bib0169 article-title: Medical image fusion with a shift-invariant morphological wavelet – volume: 40 start-page: 1708 issue: 5 year: 2013 ident: 10.1016/j.sigpro.2021.108036_bib0113 article-title: Human visual system inspired multi-modal medical image fusion framework publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2012.09.011 – volume: 8 start-page: 6368 year: 2020 ident: 10.1016/j.sigpro.2021.108036_bib0181 article-title: Fusion of brain PET and MRI images using tissue-Aware conditional generative adversarial network with joint loss publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2963741 – volume: 20 start-page: 21 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0093 article-title: Image fusion using intuitionistic fuzzy sets publication-title: Information Fusion doi: 10.1016/j.inffus.2013.10.011 – volume: 17 start-page: 604 issue: 4 year: 2011 ident: 10.1016/j.sigpro.2021.108036_bib0097 article-title: Irregular shearlet frames: geometry and approximation properties publication-title: Journal of Fourier Analysis and Applications doi: 10.1007/s00041-010-9163-0 – start-page: 1326 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0020 article-title: A survey on multi-modality medical image fusion – volume: 4 start-page: 133 year: 2015 ident: 10.1016/j.sigpro.2021.108036_bib0206 article-title: A review of quality metrics for fused image publication-title: Aquat. Procedia doi: 10.1016/j.aqpro.2015.02.019 – start-page: 743 year: 2015 ident: 10.1016/j.sigpro.2021.108036_bib0022 article-title: Comparison of Pixel-level and feature level image fusion methods – volume: 28 start-page: 322 issue: 4 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0034 article-title: Multimodality image fusion using centre-based genetic algorithm and fuzzy logic publication-title: Int J Biomed Eng Technol doi: 10.1504/IJBET.2018.095982 – volume: 2015 start-page: 206 year: 2015 ident: 10.1016/j.sigpro.2021.108036_bib0120 article-title: Medical image fusion based on rolling guidance filter and spiking cortical model publication-title: Comput Math Methods Med – year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0191 article-title: Role of deep learning in infant brain MRI analysis publication-title: Magn Reson Imaging doi: 10.1016/j.mri.2019.06.009 – volume: 6 start-page: 9375 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0173 article-title: Deep learning applications in medical image analysis publication-title: IEEE Access doi: 10.1109/ACCESS.2017.2788044 – start-page: 1047 year: 2021 ident: 10.1016/j.sigpro.2021.108036_bib0069 article-title: Multimodal medical image fusion based on discrete wavelet transform and genetic algorithm – volume: 10 start-page: 1750001 issue: 3 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0157 article-title: A novel image fusion algorithm based on 2D scale-mixing complex wavelet transform and bayesian MAP estimation for multimodal medical images publication-title: J Innov Opt Health Sci doi: 10.1142/S1793545817500018 – volume: 26 start-page: 323 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0189 article-title: Deep learning for medical image processing: overview, challenges and the future – start-page: 102 year: 2015 ident: 10.1016/j.sigpro.2021.108036_bib0128 article-title: Medical image fusion technique based on type-2 near fuzzy set – start-page: 448 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0011 article-title: Medical image fusion with Laplacian Pyramids – start-page: 1 year: 2010 ident: 10.1016/j.sigpro.2021.108036_bib0213 article-title: Quality Assessment of Image Fusion Based on Image Content and Structural Similarity – volume: 48 start-page: 119 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0027 article-title: A survey on region based image fusion methods publication-title: Information Fusion doi: 10.1016/j.inffus.2018.07.010 – volume: 131 start-page: 58 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0068 article-title: Optimum laplacian wavelet mask based medical image using hybrid cuckoo search – grey wolf optimization algorithm publication-title: Knowl Based Syst doi: 10.1016/j.knosys.2017.05.017 – volume: 33 start-page: 238 issue: 3 year: 2003 ident: 10.1016/j.sigpro.2021.108036_bib0210 article-title: Role of fusion in radiotherapy treatment planning publication-title: Semin Nucl Med doi: 10.1053/snuc.2003.127313 – volume: 40 start-page: 57 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0141 article-title: Sparse representation based multi-sensor image fusion for multi-focus and multi-modality images: a review publication-title: Information Fusion doi: 10.1016/j.inffus.2017.05.006 – start-page: 45 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0082 article-title: Maximizing information of multimodality brain image fusion using curvelet transform with genetic Algorithm – start-page: 203 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0147 article-title: Medical image fusion based on GPU accelerated nonsubsampled shearlet transform and 2D principal component analysis – volume: 19 start-page: 4 issue: 1 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0009 article-title: Medical image fusion: a survey of the state of the art publication-title: Information Fusion doi: 10.1016/j.inffus.2013.12.002 – volume: 12 start-page: 74 issue: 2 year: 2011 ident: 10.1016/j.sigpro.2021.108036_bib0083 article-title: Performance comparison of different multi-resolution transforms for image fusion publication-title: Information Fusion doi: 10.1016/j.inffus.2010.03.002 – volume: 5914 start-page: 59140U year: 2005 ident: 10.1016/j.sigpro.2021.108036_bib0096 article-title: Sparse multidimensional representation using shearlets – volume: 42 start-page: 158 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0007 article-title: Deep learning for pixel-level image fusion: recent advances and future prospects publication-title: Information Fusion doi: 10.1016/j.inffus.2017.10.007 – volume: 91 start-page: 2699 issue: 12 year: 2011 ident: 10.1016/j.sigpro.2021.108036_bib0070 article-title: A panorama on multiscale geometric representations, intertwining spatial, directional and frequency selectivity publication-title: Signal Processing doi: 10.1016/j.sigpro.2011.04.025 – start-page: 460 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0204 article-title: Survey of image processing techniques in medical image analysis: challenges and methodologies – volume: 57 start-page: 887 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0199 article-title: Brain CT and MRI medical image fusion using convolutional neural networks and a dual-channel spiking cortical model publication-title: Medical & Biological Engineering & Computing doi: 10.1007/s11517-018-1935-8 – volume: 141 start-page: 137 issue: 3 year: 1994 ident: 10.1016/j.sigpro.2021.108036_bib0041 article-title: Multiresolution morphological fusion of MR and CT images of the human brain publication-title: IEE Proceedings - Vision, Image and Signal Processing doi: 10.1049/ip-vis:19941184 – volume: 63 start-page: 17 issue: 1 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0058 article-title: Fusion of SPECT and MRI images using integer wavelet transform in combination with curvelet transform publication-title: The Imaging Science Journal doi: 10.1179/1743131X14Y.0000000092 – volume: 2017 start-page: 1 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0108 article-title: Image fusion of CT and MR with sparse representation in NSST domain publication-title: Comput Math Methods Med doi: 10.1155/2017/9308745 – volume: 60 start-page: 319 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0105 article-title: Feature level MRI fusion based on 3D dual tree compactly supported shearlet transform publication-title: J Vis Commun Image Represent doi: 10.1016/j.jvcir.2019.02.027 – volume: abs/1506.00097 year: 2015 ident: 10.1016/j.sigpro.2021.108036_bib0125 article-title: A review of feature and data fusion with medical images publication-title: CoRR – volume: 79 start-page: 9 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0035 article-title: Multimodal image fusion using sparse representation classification in tetrolet domain publication-title: Digit Signal Process doi: 10.1016/j.dsp.2018.04.002 – volume: 28 start-page: 120 issue: 2 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0033 article-title: Modified dual channel PCNN algorithm with hybrid edge enhancement approach for multimodality brain image fusion publication-title: Int J Biomed Eng Technol doi: 10.1504/IJBET.2018.094727 – volume: 60 start-page: 3347 issue: 12 year: 2013 ident: 10.1016/j.sigpro.2021.108036_bib0025 article-title: A neuro-fuzzy approach for medical image fusion publication-title: IEEE Trans. Biomed. Eng. doi: 10.1109/TBME.2013.2282461 – volume: 25 start-page: 105 year: 2009 ident: 10.1016/j.sigpro.2021.108036_bib0080 article-title: Three-band MRI image fusion: a curvelet transform approach – volume: 2018 start-page: 1 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0182 article-title: Deep learning for computer vision: A Brief review publication-title: Comput Intell Neurosci – volume: 33 start-page: 140 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0201 article-title: A survey of medical image registration publication-title: Med Image Anal doi: 10.1016/j.media.2016.06.030 – volume: 68 start-page: 49 issue: 1 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0106 article-title: Medical image fusion with parameter-adaptive pulse coupled neural network in nonsubsampled shearlet transform domain publication-title: IEEE Trans Instrum Meas doi: 10.1109/TIM.2018.2838778 – volume: 728 start-page: 401 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0150 article-title: Fusion of multimodal color medical images using Quaternion Principal Component Analysis – volume: 8 start-page: 338 issue: 3 year: 1965 ident: 10.1016/j.sigpro.2021.108036_bib0127 article-title: Fuzzy sets publication-title: Information and Control doi: 10.1016/S0019-9958(65)90241-X – volume: 3 year: 2005 ident: 10.1016/j.sigpro.2021.108036_sbref0040 article-title: Comparative image fusion analysais – volume: 07 start-page: 99 issue: 02 year: 2010 ident: 10.1016/j.sigpro.2021.108036_bib0088 article-title: Improved CT-MR image fusion scheme using dual tree complex contourlet transform based on PCA publication-title: International Journal of Information Acquisition doi: 10.1142/S0219878910002099 – volume: 77 start-page: 649 issue: 17 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0111 article-title: MRI And PET image fusion using structure tensor and dual ripplet-II transform publication-title: Multimed Tools Appl doi: 10.1007/s11042-017-5067-1 – volume: 72 start-page: 203 issue: 1–3 year: 2008 ident: 10.1016/j.sigpro.2021.108036_bib0055 article-title: Multimodality medical image fusion based on multiscale geometric analysis of contourlet transform publication-title: Neurocomputing doi: 10.1016/j.neucom.2008.02.025 – start-page: 1 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0196 article-title: A medical image fusion method based on convolutional neural networks – volume: 5 start-page: 861 issue: 3 year: 2006 ident: 10.1016/j.sigpro.2021.108036_bib0074 article-title: Fast discrete curvelet transforms publication-title: Multiscale Modeling & Simulation doi: 10.1137/05064182X – volume: 34 start-page: 1508 issue: 12 year: 2008 ident: 10.1016/j.sigpro.2021.108036_bib0208 article-title: Image fusion algorithm based on spatial frequency-motivated pulse coupled neural networks in nonsubsampled contourlet transform domain publication-title: Acta Autom. Sin. doi: 10.3724/SP.J.1004.2008.01508 – volume: 1 start-page: 1 year: 2007 ident: 10.1016/j.sigpro.2021.108036_bib0098 article-title: Construction of regular and irregular shearlet frames publication-title: J. Wavelet Theory and Appl – volume: 25 start-page: 310 issue: 4 year: 2015 ident: 10.1016/j.sigpro.2021.108036_bib0155 article-title: Medical image fusion based on nuclear norm minimization publication-title: Int J Imaging Syst Technol doi: 10.1002/ima.22145 – volume: 187 start-page: 27 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0176 article-title: Deep learning for visual understanding: a review publication-title: Neurocomputing doi: 10.1016/j.neucom.2015.09.116 – start-page: 1 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0024 article-title: Medical image fusion of different modalities using dual tree complex wavelet transform with PCA – volume: 41 start-page: 620 issue: 4 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0004 article-title: Image fusion and navigation platforms for percutaneous image-guided interventions publication-title: Abdominal Radiology doi: 10.1007/s00261-016-0645-7 – start-page: 645 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0149 article-title: Multi-modal medical image fusion using 2DPCA – volume: 310 start-page: 135 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0102 article-title: Infrared and visual image fusion using LNSST and an adaptive dual-channel PCNN with triple-linking strength publication-title: Neurocomputing doi: 10.1016/j.neucom.2018.05.028 – volume: 23 start-page: 1647 issue: 4 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0131 article-title: Multimodal medical image fusion based on fuzzy discrimination with structural patch decomposition publication-title: IEEE J Biomed Health Inform doi: 10.1109/JBHI.2018.2869096 – start-page: 1552 year: 2010 ident: 10.1016/j.sigpro.2021.108036_bib0130 article-title: Neuro-fuzzy logic based fusion algorithm of medical images – volume: 62 start-page: 249 issue: 4 year: 2007 ident: 10.1016/j.sigpro.2021.108036_bib0047 article-title: Wavelet based image fusion techniques – An introduction, review and comparison publication-title: ISPRS J. Photogramm. Remote Sens. doi: 10.1016/j.isprsjprs.2007.05.009 – volume: 17 start-page: 1 issue: 10 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0195 article-title: Remote sensing image fusion with convolutional neural network publication-title: Sens Imaging – volume: 50 start-page: 1105 issue: 10 year: 2012 ident: 10.1016/j.sigpro.2021.108036_bib0092 article-title: NSCT-based multimodal medical image fusion using pulse-coupled neural network and modified spatial frequency publication-title: Medical & Biological Engineering & Computing doi: 10.1007/s11517-012-0943-3 – volume: 7 start-page: 280 year: 2010 ident: 10.1016/j.sigpro.2021.108036_bib0160 article-title: Multimodal medical image fusion based on IHS and PCA publication-title: Procedia Eng doi: 10.1016/j.proeng.2010.11.045 – volume: 45 start-page: 153 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0002 article-title: Infrared and visible image fusion methods and applications: a survey publication-title: Information Fusion doi: 10.1016/j.inffus.2018.02.004 – start-page: 559 year: 2008 ident: 10.1016/j.sigpro.2021.108036_bib0064 article-title: Image fusion method based on fuzzy entropy and wavelet transform – volume: 12 issue: 5 year: 2012 ident: 10.1016/j.sigpro.2021.108036_sbref0154 article-title: Improved image fusion method based on NSCT and accelerated NMF publication-title: Sensors (Basel, Switzerland) doi: 10.3390/s120505872 – volume: 2 start-page: 78 issue: 2 year: 2015 ident: 10.1016/j.sigpro.2021.108036_bib0073 article-title: Medical image fusion in wavelet and ridgelet domains publication-title: International Journal of Rough Sets and Data Analysis doi: 10.4018/IJRSDA.2015070105 – start-page: 2523 year: 2008 ident: 10.1016/j.sigpro.2021.108036_bib0052 article-title: Medical image of PET/CT weighted fusion based on wavelet transform – volume: 6790 start-page: 679004 year: 2007 ident: 10.1016/j.sigpro.2021.108036_bib0075 article-title: Multisensor image fusion using fast discrete curvelet transform – volume: 18 start-page: 107 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0170 article-title: Image fusion with morphological component analysis publication-title: Information Fusion doi: 10.1016/j.inffus.2013.06.001 – start-page: 1 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0023 article-title: Multimodal medical volumetric image fusion based on multi-feature in 3-D shearlet transform – volume: 798 start-page: 53 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0185 article-title: Feature learning using stacked autoencoder for shared and multimodal fusion of medical images – volume: 32 start-page: e5632 issue: 17 year: 2020 ident: 10.1016/j.sigpro.2021.108036_bib0145 article-title: Medical image fusion method by using laplacian pyramid and convolutional sparse representation publication-title: Concurrency and Computation: Practice and Experience doi: 10.1002/cpe.5632 – start-page: 6155 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0178 article-title: A deep-learning approach to translate between brain structure and functional connectivity – volume: 19 start-page: 1950004 issue: 01 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0104 article-title: Color PET-MRI medical image fusion combining matching regional spectrum in shearlet domain publication-title: Int J Image Graph doi: 10.1142/S0219467819500049 – volume: 74 start-page: 193 issue: 2 year: 2008 ident: 10.1016/j.sigpro.2021.108036_bib0214 article-title: Multispectral and panchromatic data fusion assessment without reference publication-title: Photogrammetric Engineering & Remote Sensing doi: 10.14358/PERS.74.2.193 – start-page: 670 year: 2007 ident: 10.1016/j.sigpro.2021.108036_bib0062 article-title: Research on Medical Image Fusion Based on Orthogonal Wavelet Packets Transformation Combined with 2v-SVM – volume: 3 start-page: 91 issue: 2 year: 2002 ident: 10.1016/j.sigpro.2021.108036_bib0115 article-title: Information fusion approach to microcalcification characterization publication-title: Information Fusion doi: 10.1016/S1566-2535(02)00054-4 – volume: 215 start-page: 3 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0003 article-title: An overview of multi-modal medical image fusion publication-title: Neurocomputing doi: 10.1016/j.neucom.2015.07.160 – volume: 99 start-page: 142 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0079 article-title: Curvelet transform-based volume fusion for correcting signal loss artifacts in time-of-Flight magnetic resonance angiography data publication-title: Comput. Biol. Med. doi: 10.1016/j.compbiomed.2018.06.008 – volume: 16 start-page: 3735 issue: 10 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0094 article-title: Multimodal sensor medical image fusion based on type-2 fuzzy logic in NSCT domain publication-title: IEEE Sens J doi: 10.1109/JSEN.2016.2533864 – volume: 8 start-page: 208 issue: 2 year: 2007 ident: 10.1016/j.sigpro.2021.108036_bib0205 article-title: Subjective tests for image fusion evaluation and objective metric validation publication-title: Information Fusion doi: 10.1016/j.inffus.2005.05.001 – start-page: 1 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0138 article-title: Medical image fusion using type-2 fuzzy and near-fuzzy set approach publication-title: Int. J. Comput. Appl. – volume: 17 start-page: 6995 issue: 21 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0161 article-title: Fusion of PET and MR brain images based on IHS and log-gabor transforms publication-title: IEEE Sens J doi: 10.1109/JSEN.2017.2747220 – volume: 101 start-page: 569 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0177 article-title: Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis publication-title: Neuroimage doi: 10.1016/j.neuroimage.2014.06.077 – volume: 15 start-page: 3089 issue: 10 year: 2006 ident: 10.1016/j.sigpro.2021.108036_bib0085 article-title: The nonsubsampled contourlet transform: theory, design, and applications publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2006.877507 – volume: 25 start-page: 25 issue: 1 year: 2008 ident: 10.1016/j.sigpro.2021.108036_bib0099 article-title: Sparse directional image representations using the discrete shearlet transform publication-title: Appl Comput Harmon Anal doi: 10.1016/j.acha.2007.09.003 – volume: 25 start-page: 206 issue: 3 year: 2015 ident: 10.1016/j.sigpro.2021.108036_bib0044 article-title: Medical image fusion based on improved sum-modified-laplacian publication-title: Int J Imaging Syst Technol doi: 10.1002/ima.22138 – volume: 57 start-page: 273 issue: 4 year: 2010 ident: 10.1016/j.sigpro.2021.108036_bib0076 article-title: A curvelet transform approach for the fusion of MR and CT images publication-title: J Mod Opt doi: 10.1080/09500340903541056 – volume: 95 start-page: 64 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0193 article-title: Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review publication-title: Artif Intell Med doi: 10.1016/j.artmed.2018.08.008 – start-page: 2453 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0078 article-title: Multi-modal medical image fusion using curvelet Algorithm – volume: 36 start-page: 1005 issue: 4 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0211 article-title: Seamless lesion insertion for data augmentation in CAD training publication-title: IEEE Trans Med Imaging doi: 10.1109/TMI.2016.2640180 – volume: 8 start-page: 119 issue: 2 year: 2007 ident: 10.1016/j.sigpro.2021.108036_bib0043 article-title: Pixel and region-based image fusion with complex wavelets publication-title: Information Fusion doi: 10.1016/j.inffus.2005.09.006 – volume: 31 start-page: e5632 issue: 8 year: 2020 ident: 10.1016/j.sigpro.2021.108036_bib0202 article-title: Deep learning in medical image registration: a survey publication-title: Mach Vis Appl – start-page: 114 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0049 article-title: A Review of Image Fusion Techniques – start-page: 121 year: 2012 ident: 10.1016/j.sigpro.2021.108036_bib0081 article-title: Performance evaluation of image fusion using the multi-wavelet and curvelet transforms – volume: 33 start-page: 100 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0006 article-title: Pixel-level image fusion: a survey of the state of the art publication-title: Information Fusion doi: 10.1016/j.inffus.2016.05.004 – volume: 42 start-page: 60 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0174 article-title: A survey on deep learning in medical image analysis publication-title: Med Image Anal doi: 10.1016/j.media.2017.07.005 – volume: 46 start-page: 281 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0012 article-title: Ripplet domain fusion approach for ct and mr medical image information publication-title: Biomed Signal Process Control doi: 10.1016/j.bspc.2018.05.042 – start-page: 193 year: 2009 ident: 10.1016/j.sigpro.2021.108036_bib0140 article-title: Fuzzy rule base classifier fusion for protein mass spectra based ovarian cancer diagnosis – volume: 37 start-page: 1855 issue: 9 year: 2004 ident: 10.1016/j.sigpro.2021.108036_bib0050 article-title: A wavelet-based image fusion tutorial publication-title: Pattern Recognit doi: 10.1016/j.patcog.2004.03.010 – volume: 140 start-page: 225 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0031 article-title: Computer-aided prognosis: accurate prediction of patients with neurologic and psychiatric diseases via multi-modal MRI analysis – volume: 3 start-page: 1479 year: 2005 ident: 10.1016/j.sigpro.2021.108036_bib0057 article-title: Feature level fusion of multimodal medical images in lifting wavelet transform domain – volume: 40 start-page: 219 issue: 4 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0162 article-title: PET And MRI image fusion based on combination of 2-D Hilbert transform and IHS method publication-title: Biomed J doi: 10.1016/j.bj.2017.05.002 – start-page: 269 year: 2009 ident: 10.1016/j.sigpro.2021.108036_bib0067 article-title: Evolutionary algorithm based automated medical image fusion technique: Comparative study with fuzzy fusion approach – volume: 24 start-page: 221 issue: 1 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0122 article-title: Multimodal medical image fusion using improved multi-channel PCNN publication-title: Biomed Mater Eng – volume: 880 start-page: 548 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0019 article-title: Non-subsampled complex wavelet transform based medical image fusion – volume: 26 start-page: 5855 issue: 12 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0045 article-title: Anatomical-functional image fusion by information of interest in local laplacian filtering domain publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2017.2745202 – start-page: 472 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0089 article-title: Multimodal image fusion via sparse representation and clustering-based dictionary learning algorithm in NonSubsampled Contourlet domain – start-page: 1 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0172 article-title: A survey of deep learning and its applications: anew paradigm to machine learning publication-title: Arch. Comput. Methods Eng. – volume: 23 start-page: 542 issue: 2 year: 2013 ident: 10.1016/j.sigpro.2021.108036_bib0167 article-title: Morphological image fusion using the extracted image regions and details based on multi-scale top-hat transform and toggle contrast operator publication-title: Digit Signal Process doi: 10.1016/j.dsp.2012.11.001 – volume: 30 start-page: 2029 issue: 7 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0197 article-title: Convolutional neural network-based multimodal image fusion via similarity learning in the shearlet domain publication-title: Neural Computing and Applications doi: 10.1007/s00521-018-3441-1 – volume: 125 start-page: 4751 issue: 17 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0148 article-title: Iterative block level principal component averaging medical image fusion publication-title: Optik (Stuttg) doi: 10.1016/j.ijleo.2014.04.068 – start-page: 2672 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0179 article-title: Generative adversarial nets – start-page: 1422 year: 2013 ident: 10.1016/j.sigpro.2021.108036_bib0038 article-title: Review of image fusion algorithm based on multiscale decomposition – start-page: 1 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0203 article-title: A survey on image preprocessing techniques for diverse fields of medical imagery – start-page: 0592 year: 2015 ident: 10.1016/j.sigpro.2021.108036_bib0086 article-title: Multimodal medical image fusion under nonsubsampled contourlet transform domain – volume: 684 start-page: 161 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0066 article-title: Multimodal image fusion based on non-subsampled shearlet transform and neuro-fuzzy – volume: 13 start-page: 711 issue: 5 year: 2009 ident: 10.1016/j.sigpro.2021.108036_bib0151 article-title: Feature-Based fusion of medical imaging data publication-title: IEEE Trans. Inf. Technol. Biomed. doi: 10.1109/TITB.2008.923773 – start-page: 2708 year: 2004 ident: 10.1016/j.sigpro.2021.108036_bib0061 article-title: Medical diagnostic image data fusion based on wavelet transformation and self-organising features mapping neural networks – volume: 13 start-page: 10 issue: 1 year: 2012 ident: 10.1016/j.sigpro.2021.108036_bib0143 article-title: Pixel-level image fusion with simultaneous orthogonal matching pursuit publication-title: Information Fusion doi: 10.1016/j.inffus.2010.04.001 – volume: 13 start-page: 410 issue: 3 year: 2001 ident: 10.1016/j.sigpro.2021.108036_bib0129 article-title: A general framework for the fusion of anatomical and functional medical images publication-title: Neuroimage doi: 10.1006/nimg.2000.0707 – volume: 36 start-page: 191 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0194 article-title: Multi-focus image fusion with a deep convolutional neural network publication-title: Information Fusion doi: 10.1016/j.inffus.2016.12.001 – volume: 24 start-page: 147 year: 2015 ident: 10.1016/j.sigpro.2021.108036_bib0142 article-title: A general framework for image fusion based on multi-scale transform and sparse representation publication-title: Information Fusion doi: 10.1016/j.inffus.2014.09.004 – volume: 1 start-page: 541 issue: 4 year: 1989 ident: 10.1016/j.sigpro.2021.108036_bib0190 article-title: Backpropagation applied to handwritten zip code recognition publication-title: Neural Comput doi: 10.1162/neco.1989.1.4.541 – volume: 120 start-page: 116 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0100 article-title: Deep feature learning for soft tissue sarcoma classification in MR images via transfer learning publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2018.11.025 – volume: 799 start-page: 487 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0136 article-title: Multimodal Medical Image Fusion Based on Fuzzy Sets with Orthogonal Teaching–Learning-Based Optimization – start-page: 264 year: 2010 ident: 10.1016/j.sigpro.2021.108036_bib0018 article-title: PET/CT medical image fusion algorithm based on multiwavelet transform – volume: 8 start-page: 177 issue: 2 year: 2007 ident: 10.1016/j.sigpro.2021.108036_bib0051 article-title: A new metric based on extended spatial frequency and its application to DWT based fusion algorithms publication-title: Information Fusion doi: 10.1016/j.inffus.2005.04.003 – volume: 2019 start-page: 11 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0180 article-title: Green fluorescent protein and phase-contrast image fusion via generative adversarial networks publication-title: Comput Math Methods Med doi: 10.1155/2019/5450373 – volume: 7 start-page: 1306 issue: 6 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0026 article-title: Nsct-based multimodal medical image fusion with sparse representation and pulse coupled neural network publication-title: Journal of Information Hiding and Multimedia Signal Processing – start-page: 49 year: 2004 ident: 10.1016/j.sigpro.2021.108036_bib0114 article-title: Support vector machine and generalized regression neural network based classification fusion models for cancer diagnosis – volume: 70 start-page: 625 year: 2015 ident: 10.1016/j.sigpro.2021.108036_bib0013 article-title: Multi-Modality medical image fusion using discrete wavelet transform publication-title: Procedia Comput Sci doi: 10.1016/j.procs.2015.10.057 – start-page: 178 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0014 article-title: Combination of wavelet and contourlet transforms for PET and MRI image fusion – volume: 14 start-page: 2091 issue: 12 year: 2005 ident: 10.1016/j.sigpro.2021.108036_bib0084 article-title: The contourlet transform: an efficient directional multiresolution image representation publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2005.859376 – start-page: 148 year: 2015 ident: 10.1016/j.sigpro.2021.108036_bib0110 article-title: Medical image fusion by combining SVD and shearlet transform – volume: 4 start-page: 3623 issue: 19 year: 2012 ident: 10.1016/j.sigpro.2021.108036_bib0164 article-title: Medical image fusion and segmentation using coarse-to-fine level set with Brovey transform fusion publication-title: Research Journal of Applied Sciences, Engineering and Technology – volume: 19 start-page: 221 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0175 article-title: Deep learning in medical image analysis publication-title: Annu Rev Biomed Eng doi: 10.1146/annurev-bioeng-071516-044442 – volume: 5 start-page: 6724 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0056 article-title: Image fusion using quaternion wavelet transform and multiple features publication-title: IEEE Access doi: 10.1109/ACCESS.2017.2685178 – volume: 34 start-page: 94 issue: 1 year: 2012 ident: 10.1016/j.sigpro.2021.108036_bib0207 article-title: Objective assessment of multiresolution image fusion algorithms for context enhancement in night vision: a comparative study publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2011.109 – start-page: 569 year: 2009 ident: 10.1016/j.sigpro.2021.108036_bib0042 article-title: Image fusion based on steerable pyramid and PCNN – start-page: 71 year: 2009 ident: 10.1016/j.sigpro.2021.108036_bib0126 article-title: Multi-kernel svm based classification for tumor segmentation by fusion of mri images – start-page: 799 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0032 article-title: Multimodal medical image fusion based on nonsubsampled contourlet transform using improved PCNN – volume: 17 start-page: 1950023 issue: 02 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0109 article-title: Medical image fusion based on nonsubsampled shearlet transform and principal component averaging publication-title: Int J Wavelets Multiresolut Inf Process doi: 10.1142/S0219691319500231 – volume: 5 start-page: 16040 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0039 article-title: From multi-scale decomposition to non-multi-scale decomposition methods: A Comprehensive survey of image fusion techniques and its applications publication-title: IEEE Access doi: 10.1109/ACCESS.2017.2735865 – volume: 10 start-page: 295 issue: 2 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0137 article-title: Improved image fusion of colored and grayscale medical images based on intuitionistic fuzzy sets publication-title: Fuzzy Inf. Eng. doi: 10.1080/16168658.2018.1517980 – start-page: 87 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0156 article-title: Bayesian fusion: application in medical imaging – volume: 7 start-page: 63605 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0188 article-title: Deep learning framework for Alzheimer’s disease diagnosis via 3D-CNN and FSBi-LSTM publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2913847 – start-page: 358 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0029 article-title: Survey of Multi-sensor Image Fusion – volume: 6 start-page: 1314 issue: 5 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0016 article-title: Medical image fusion in gradient domain with structure tensor publication-title: J Med Imaging Health Inform doi: 10.1166/jmihi.2016.1919 – volume: 39 start-page: 298 issue: 1 year: 2007 ident: 10.1016/j.sigpro.2021.108036_bib0095 article-title: Optimally sparse multidimensional representation using shearlets publication-title: SIAM J. Math. Anal. doi: 10.1137/060649781 – volume: 10 start-page: 7571 issue: 17 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0163 article-title: A new image fusion approach using ihs and wavelet transform for cbf and ct images publication-title: Journal of Computational Information Systems – volume: 484 start-page: 372 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0090 article-title: Medical image fusion by combining nonsubsampled contourlet transform and sparse representation – volume: 2019 start-page: 1 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0107 article-title: Medical image fusion based on fast finite shearlet transform and sparse representation publication-title: Comput Math Methods Med doi: 10.1155/2019/3503267 – year: 2004 ident: 10.1016/j.sigpro.2021.108036_bib0166 – volume: 51 start-page: 76 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0132 article-title: An improved multimodal medical image fusion algorithm based on fuzzy transform publication-title: J Vis Commun Image Represent doi: 10.1016/j.jvcir.2017.12.011 – volume: 9 start-page: 176 issue: 2 year: 2008 ident: 10.1016/j.sigpro.2021.108036_bib0121 article-title: Medical image fusion using m-PCNN publication-title: Information Fusion doi: 10.1016/j.inffus.2007.04.003 – volume: 19 start-page: 49 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0054 article-title: Fusion of multimodal medical images using daubechies complex wavelet transform – A multiresolution approach publication-title: Information Fusion doi: 10.1016/j.inffus.2012.09.005 – start-page: 1 year: 2015 ident: 10.1016/j.sigpro.2021.108036_bib0186 article-title: A review on advances in deep learning – volume: 153 start-page: 379 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0119 article-title: Multimodal sensor medical image fusion based on nonsubsampled shearlet transform and S-PCNNs in HSV space publication-title: Signal Processing doi: 10.1016/j.sigpro.2018.08.002 – volume: 77 start-page: 8327 issue: 7 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0103 article-title: Multi-focus image fusion based on nonsubsampled compactly supported shearlet transform publication-title: Multimed Tools Appl doi: 10.1007/s11042-017-4731-9 – start-page: 1 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0117 article-title: On combination of fuzzy memberships for medical image fusion using NSST based Fuzzy-PCNN – volume: 38 start-page: 71 issue: 1 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0008 article-title: Medical image registration in image guided surgery: issues, challenges and research opportunities publication-title: Biocybernetics and Biomedical Engineering doi: 10.1016/j.bbe.2017.10.001 – start-page: 266 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0017 article-title: Fusion of multimodal abdominal cancerous images and classification using support vector machine – volume: 8 start-page: 114 issue: 2 SPEC. ISS. year: 2007 ident: 10.1016/j.sigpro.2021.108036_bib0028 article-title: Image fusion: advances in the state of the art publication-title: Information Fusion doi: 10.1016/j.inffus.2006.04.001 – volume: 22 start-page: 033028 issue: 3 year: 2013 ident: 10.1016/j.sigpro.2021.108036_bib0112 article-title: Algorithm for image fusion based on orthogonal grouplet transform and pulse-coupled neural network publication-title: J Electron Imaging doi: 10.1117/1.JEI.22.3.033028 – volume: 16 start-page: 1850037 issue: 05 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0101 article-title: Remote sensing image fusion via RPCA and adaptive PCNN in NSST domain publication-title: Int J Wavelets Multiresolut Inf Process doi: 10.1142/S0219691318500376 – volume: 44 start-page: 087003 issue: 8 year: 2005 ident: 10.1016/j.sigpro.2021.108036_bib0215 article-title: Objective evaluation of signal-level image fusion performance publication-title: Opt. Eng. doi: 10.1117/1.2009764 – volume: 264 start-page: 505 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0053 article-title: Redundant discrete wavelet transform based medical image fusion doi: 10.1007/978-3-319-04960-1_44 – volume: 25 start-page: 164 issue: 2 year: 2007 ident: 10.1016/j.sigpro.2021.108036_bib0139 article-title: A framework of fuzzy information fusion for the segmentation of brain tumor tissues on MR images publication-title: Image Vis Comput doi: 10.1016/j.imavis.2006.01.025 – volume: 172 start-page: 1 year: 2018 ident: 10.1016/j.sigpro.2021.108036_bib0030 article-title: Structure-aware image fusion publication-title: Optik (Stuttg) doi: 10.1016/j.ijleo.2018.06.123 – year: 1999 ident: 10.1016/j.sigpro.2021.108036_bib0046 – volume: 11 start-page: 114 issue: 2 year: 2010 ident: 10.1016/j.sigpro.2021.108036_bib0123 article-title: Mri and pet image fusion by combining ihs and retina-inspired models publication-title: Information Fusion doi: 10.1016/j.inffus.2009.05.003 – volume: 63 start-page: 487 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0184 article-title: Nonlinear feature transformation and deep fusion for Alzheimer’s disease staging analysis publication-title: Pattern Recognit doi: 10.1016/j.patcog.2016.09.032 – volume: 328 start-page: 475 year: 2015 ident: 10.1016/j.sigpro.2021.108036_bib0071 article-title: PCA based medical image fusion in ridgelet domain – volume: 178 start-page: 107793 year: 2021 ident: 10.1016/j.sigpro.2021.108036_bib0124 article-title: A novel fusion method based on dynamic threshold neural p systems and nonsubsampled contourlet transform for multi-modality medical images publication-title: Signal Processing doi: 10.1016/j.sigpro.2020.107793 – volume: 14 start-page: 241 issue: 3 year: 2013 ident: 10.1016/j.sigpro.2021.108036_bib0158 article-title: Poisson image fusion based on Markov random field fusion model publication-title: Information Fusion doi: 10.1016/j.inffus.2012.07.003 – volume: 34 start-page: 1939 issue: 10 year: 2001 ident: 10.1016/j.sigpro.2021.108036_bib0168 article-title: Fusion of 2D grayscale images using multiscale morphology publication-title: Pattern Recognit doi: 10.1016/S0031-3203(00)00123-0 – volume: 38 start-page: 813 year: 2012 ident: 10.1016/j.sigpro.2021.108036_bib0059 article-title: Medical image fusion using combined discrete wavelet and ripplet transforms publication-title: Procedia Eng doi: 10.1016/j.proeng.2012.06.102 – volume: 38 start-page: 211 issue: 4 year: 2014 ident: 10.1016/j.sigpro.2021.108036_bib0087 article-title: MRI-PET Image fusion based on NSCT transform using local energy and local variance fusion rules publication-title: Journal of Medical Engineering & Technology doi: 10.3109/03091902.2014.904014 – volume: 379 start-page: 1 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0077 article-title: Medical image fusion in curvelet domain employing PCA and maximum selection rule – volume: 27 start-page: 198 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0144 article-title: Joint patch clustering-based dictionary learning for multimodal image fusion publication-title: Information Fusion doi: 10.1016/j.inffus.2015.03.003 – start-page: 1 year: 2011 ident: 10.1016/j.sigpro.2021.108036_bib0146 article-title: Image fusion using hierarchical PCA. – volume: 21 start-page: 977 issue: 11 year: 2003 ident: 10.1016/j.sigpro.2021.108036_bib0200 article-title: Image registration methods: a survey publication-title: Image Vis Comput doi: 10.1016/S0262-8856(03)00137-9 – volume: 16 start-page: 168 issue: 3 year: 2013 ident: 10.1016/j.sigpro.2021.108036_bib0005 article-title: Image fusion during vascular and nonvascular image-guided procedures publication-title: Tech Vasc Interv Radiol doi: 10.1053/j.tvir.2013.02.012 – volume: 10 start-page: 178 issue: 4 year: 2017 ident: 10.1016/j.sigpro.2021.108036_bib0015 article-title: Medical image fusion combined with accelerated non-negative matrix factorization and expanded laplacian energy in shearlet domain publication-title: Journal of Engineering Science and Technology Review doi: 10.25103/jestr.104.21 – volume: 27 start-page: 1421 issue: 10 year: 2009 ident: 10.1016/j.sigpro.2021.108036_bib0216 article-title: A new automated quality assessment algorithm for image fusion publication-title: Image Vis Comput doi: 10.1016/j.imavis.2007.12.002 – volume: 25 start-page: 061617 issue: 6 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0048 article-title: Review of multiscale geometric decompositions in a remote sensing context publication-title: J Electron Imaging doi: 10.1117/1.JEI.25.6.061617 – volume: 23 start-page: 1882 issue: 12 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0209 article-title: Image fusion with convolutional sparse representation publication-title: IEEE Signal Process Lett doi: 10.1109/LSP.2016.2618776 – volume: 6466 start-page: 351 year: 2010 ident: 10.1016/j.sigpro.2021.108036_bib0152 article-title: EBFS-ICA: an efficient algorithm for CT-MRI image fusion – volume: 196 start-page: 105603 year: 2020 ident: 10.1016/j.sigpro.2021.108036_bib0159 article-title: An adaptive two-scale biomedical image fusion method with statistical comparisons publication-title: Comput Methods Programs Biomed doi: 10.1016/j.cmpb.2020.105603 – volume: 87 start-page: 074303 issue: 7 year: 2016 ident: 10.1016/j.sigpro.2021.108036_bib0165 article-title: Multispectral medical image fusion in Contourlet domain for computer based diagnosis of Alzheimer’s disease publication-title: Rev. Sci. Instrum. doi: 10.1063/1.4959559 – volume: 46 start-page: e1 issue: 1 year: 2019 ident: 10.1016/j.sigpro.2021.108036_bib0171 article-title: Deep learning in medical imaging and radiation therapy publication-title: Med Phys doi: 10.1002/mp.13264 – start-page: 105 year: 1999 ident: 10.1016/j.sigpro.2021.108036_bib0072 article-title: Curvelets : A surprisingly effective nonadaptive representation for objects with edges – volume: 1 start-page: 341 year: 2013 ident: 10.1016/j.sigpro.2021.108036_bib0021 article-title: Review on technology of pixel-level image fusion |
| SSID | ssj0001360 |
| Score | 2.6784828 |
| SecondaryResourceType | review_article |
| Snippet | Multimodal medical image fusion consists in combining two or more images of the same or different modalities aiming to improve the image content, and preserve... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 108036 |
| SubjectTerms | Deep learning Evaluation metrics Fuzzy logic Multi-scale geometric decomposition Multimodal medical image fusion Sparse representation |
| Title | Multimodal medical image fusion review: Theoretical background and recent advances |
| URI | https://dx.doi.org/10.1016/j.sigpro.2021.108036 |
| Volume | 183 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1LS8NAEF5KvehBfGJ9lD14Xbubx2bjrRRLVexBW-gt7CsStWmx7dXf7j4SW0EUPCSQMAvJMHwzyXzfLACXkqYcCxojTHOBIslCxFOsEEk44yxnUSBsR_dhSAfj6G4STxqgV2thLK2ywn6P6Q6tqzudypudeVF0nqwQh9g2EnGJb2IV7FFio_zqY03zIKFTCltjZK1r-ZzjeC2KZ4NT5isxII5s5wY1_5CeNlJOfw_sVrUi7PrH2QcNXR6AnY0Jgofg0QlopzNl7Ka-5wKLqcEImK_sfzDopSnXcLQWLELB5atVc5QKcnOY9zeZB1ZsgMURGPdvRr0BqrZJQNLU-0uUhzJXCVFY4RwrRiXBMlGY2lOgdMpMhYJFHGuqAiE54UoqhrVJzSxJhKlPjkGznJX6BEAtsJIhDaWgMqKSMRUTzUKVpDzWMk5bIKy9k8lqhrjdyuItq8liL5n3aWZ9mnmftgD6WjX3MzT-sE9qx2ffYiEzMP_rytN_rzwD2_bKk8DOQXP5vtIXptxYiraLpzbY6t7eD4afp_7WPg |
| linkProvider | Elsevier |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3JTsMwEB2V9gAcEKsoqw9crdpN4jjcqoqqpcsBWqm3yFtQgS6i7f9jZylFQiBxSA7xjBQ9WW8mmXljgDvFIkEkCzBhicS-4h4WEdGYhoILnnC_Ll1Ftz9g7ZH_OA7GJWgWWhjXVplzf8bpKVvnT2o5mrXFZFJ7dkIc6spINA184x2ouOlUQRkqjU63PdgQMvVSsbCzx86hUNClbV7LyYulKvuhWKdpv106q_mHCLUVdVqHcJCni6iRvdERlMzsGPa3hgiewFOqoZ3OtbWbZmUXNJlamkDJ2v0KQ5k65R4NvzSLSAr15gQdM42EvSwENvigvCFgeQqj1sOw2cb5SQlY2ZR_hRNPJTqkmmiSEM2ZokSFmjB3q2sTcZukEBkEhum6VIIKrTQnxkZnHobSpihnUJ7NZ-YckJFEK495SjLlM8W5Dqjhng4jERgVRFXwCnRilY8Rd6dZvMdFv9hrnGEaO0zjDNMq4I3XIhuj8Yd9WAAff9sOsWX6Xz0v_u15C7vtYb8X9zqD7iXsuZWsJ-wKyquPtbm22cdK3uS76xMKEdjv |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Multimodal+medical+image+fusion+review%3A+Theoretical+background+and+recent+advances&rft.jtitle=Signal+processing&rft.au=Hermessi%2C+Haithem&rft.au=Mourali%2C+Olfa&rft.au=Zagrouba%2C+Ezzeddine&rft.date=2021-06-01&rft.pub=Elsevier+B.V&rft.issn=0165-1684&rft.eissn=1872-7557&rft.volume=183&rft_id=info:doi/10.1016%2Fj.sigpro.2021.108036&rft.externalDocID=S016516842100075X |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0165-1684&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0165-1684&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0165-1684&client=summon |