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Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system
Murphy, Keelin, Habib, Shifa Salman, Zaidi, Syed Mohammad Asad, Khowaja, Saira, Khan, Aamir, Melendez, Jaime, Scholten, Ernst T., Amad, Farhan, Schalekamp, Steven, Verhagen, Maurits, Philipsen, Rick H. H. M., Meijers, Annet, van Ginneken, Bram
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Published in Scientific reports (26.03.2020)
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Abdominal multi-organ segmentation from CT images using conditional shape–location and unsupervised intensity priors
Okada, Toshiyuki, Linguraru, Marius George, Hori, Masatoshi, Summers, Ronald M., Tomiyama, Noriyuki, Sato, Yoshinobu
Published in Medical image analysis (01.12.2015)
Published in Medical image analysis (01.12.2015)
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Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies
Roy, Mousumi, Wang, Fusheng, Vo, Hoang, Teng, Dejun, Teodoro, George, Farris, Alton B., Castillo-Leon, Eduardo, Vos, Miriam B., Kong, Jun
Published in Laboratory investigation (01.10.2020)
Published in Laboratory investigation (01.10.2020)
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Discriminative dictionary learning for abdominal multi-organ segmentation
Tong, Tong, Wolz, Robin, Wang, Zehan, Gao, Qinquan, Misawa, Kazunari, Fujiwara, Michitaka, Mori, Kensaku, Hajnal, Joseph V., Rueckert, Daniel
Published in Medical image analysis (01.07.2015)
Published in Medical image analysis (01.07.2015)
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The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset
Ibrahim, Abdalla, Refaee, Turkey, Leijenaar, Ralph T. H., Primakov, Sergey, Hustinx, Roland, Mottaghy, Felix M., Woodruff, Henry C., Maidment, Andrew D. A., Lambin, Philippe
Published in PloS one (07.05.2021)
Published in PloS one (07.05.2021)
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Automatic Multi-Organ Segmentation on Abdominal CT With Dense V-Networks
Gibson, Eli, Giganti, Francesco, Hu, Yipeng, Bonmati, Ester, Bandula, Steve, Gurusamy, Kurinchi, Davidson, Brian, Pereira, Stephen P., Clarkson, Matthew J., Barratt, Dean C.
Published in IEEE transactions on medical imaging (01.08.2018)
Published in IEEE transactions on medical imaging (01.08.2018)
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Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT
Choe, Jooae, Hwang, Hye Jeon, Seo, Joon Beom, Lee, Sang Min, Yun, Jihye, Kim, Min-Ju, Jeong, Jewon, Lee, Youngsoo, Jin, Kiok, Park, Rohee, Kim, Jihoon, Jeon, Howook, Kim, Namkug, Yi, Jaeyoun, Yu, Donghoon, Kim, Byeongsoo
Published in Radiology (01.01.2022)
Published in Radiology (01.01.2022)
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Accuracy of Fractional Flow Reserve Derived From Coronary Angiography
Fearon, William F., Achenbach, Stephan, Engstrom, Thomas, Assali, Abid, Shlofmitz, Richard, Jeremias, Allen, Fournier, Stephane, Kirtane, Ajay J., Kornowski, Ran, Greenberg, Gabriel, Jubeh, Rami, Kolansky, Daniel M., McAndrew, Thomas, Dressler, Ovidiu, Maehara, Akiko, Matsumura, Mitsuaki, Leon, Martin B., De Bruyne, Bernard
Published in Circulation (New York, N.Y.) (22.01.2019)
Published in Circulation (New York, N.Y.) (22.01.2019)
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Idiopathic Pulmonary Fibrosis: Data-driven Textural Analysis of Extent of Fibrosis at Baseline and 15-Month Follow-up
Humphries, Stephen M., Yagihashi, Kunihiro, Huckleberry, Jason, Rho, Byung-Hak, Schroeder, Joyce D., Strand, Matthew, Schwarz, Marvin I., Flaherty, Kevin R., Kazerooni, Ella A., van Beek, Edwin J. R., Lynch, David A.
Published in Radiology (01.10.2017)
Published in Radiology (01.10.2017)
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Relationships Between Airflow Obstruction and Quantitative CT Measurements of Emphysema, Air Trapping, and Airways in Subjects With and Without Chronic Obstructive Pulmonary Disease
Schroeder, Joyce D., McKenzie, Alexander S., Zach, Jordan A., Wilson, Carla G., Curran-Everett, Douglas, Stinson, Douglas S., Newell, John D., Lynch, David A.
Published in American journal of roentgenology (1976) (01.09.2013)
Published in American journal of roentgenology (1976) (01.09.2013)
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Correlations among age, sex, axial length, and subfoveal choroidal thickness in the choriocapillaris structure analyzed using multiple en face image averaging optical coherence tomography angiography
Ichioka, Ai, Ooto, Sotaro, Uji, Akihito, Manabe, Saki, Shiragami, Chieko, Tsujikawa, Akitaka
Published in PloS one (15.11.2021)
Published in PloS one (15.11.2021)
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Deep Learning-Based Chest CT Image Features in Diagnosis of Lung Cancer
Feng, Jianxin, Jiang, Jun
Published in Computational and mathematical methods in medicine (19.01.2022)
Published in Computational and mathematical methods in medicine (19.01.2022)
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Diagnostic accuracy of magnetic resonance imaging for the detection of pulmonary nodules simulated in a dedicated porcine chest phantom
Bonert, Madeleine, Schneider, Moritz, Solyanik, Olga, Hellbach, Katharina, Bondesson, David, Gaass, Thomas, Thaens, Natalie, Ricke, Jens, Benkert, Thomas, Dinkel, Julien
Published in PLOS ONE (23.12.2020)
Published in PLOS ONE (23.12.2020)
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Quantitative angiography methods for bifurcation lesions: a consensus statement update from the European Bifurcation Club
Collet, Carlos, Onuma, Yoshinobu, Cavalcante, Rafael, Grundeken, Maik, Généreux, Philippe, Popma, Jeffrey, Costa, Ricardo, Stankovic, Goran, Tu, Shengxian, Reiber, Johan, Aben, Jean-Paul, Lassen, Jens, Louvard, Yves, Lansky, Alexandra, Serruys, Patrick
Published in EuroIntervention (15.05.2017)
Published in EuroIntervention (15.05.2017)
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Abdominal CT With Model-Based Iterative Reconstruction (MBIR): Initial Results of a Prospective Trial Comparing Ultralow-Dose With Standard-Dose Imaging
Pickhardt, Perry J., Lubner, Meghan G., Kim, David H., Tang, Jie, Ruma, Julie A., del Rio, Alejandro Muñoz, Chen, Guang-Hong
Published in American journal of roentgenology (1976) (01.12.2012)
Published in American journal of roentgenology (1976) (01.12.2012)
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