Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Ali, Sharib, Dmitrieva, Mariia, Ghatwary, Noha, Bano, Sophia, Polat, Gorkem, Temizel, Alptekin, Krenzer, Adrian, Hekalo, Amar, Guo, Yun Bo, Matuszewski, Bogdan, Gridach, Mourad, Voiculescu, Irina, Yoganand, Vishnusai, Chavan, Arnav, Raj, Aryan, Nguyen, Nhan T., Tran, Dat Q., Huynh, Le Duy, Boutry, Nicolas, Rezvy, Shahadate, Chen, Haijian, Choi, Yoon Ho, Subramanian, Anand, Balasubramanian, Velmurugan, Gao, Xiaohong W., Hu, Hongyu, Liao, Yusheng, Stoyanov, Danail, Daul, Christian, Realdon, Stefano, Cannizzaro, Renato, Lamarque, Dominique, Tran-Nguyen, Terry, Bailey, Adam, Braden, Barbara, East, James E., Rittscher, Jens
Published in Medical image analysis (01.05.2021)
Published in Medical image analysis (01.05.2021)
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Journal Article
A deep learning approach for length of stay prediction in clinical settings from medical records
Zebin, Tahmina, Rezvy, Shahadate, Chaussalet, Thierry J.
Published in 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) (01.07.2019)
Published in 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB) (01.07.2019)
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Conference Proceeding
An efficient deep learning model for intrusion classification and prediction in 5G and IoT networks
Rezvy, Shahadate, Luo, Yuan, Petridis, Miltos, Lasebae, Aboubaker, Zebin, Tahmina
Published in 2019 53rd Annual Conference on Information Sciences and Systems (CISS) (01.03.2019)
Published in 2019 53rd Annual Conference on Information Sciences and Systems (CISS) (01.03.2019)
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Conference Proceeding
Instant Channel Allocation Technique to Improve System Throughput in Joint LTE Cellular Network
Rezvy, Shahadate, Rahman, Shahedur, Lasebae, Aboubaker, Loo, Jonathan
Published in 2014 28th International Conference on Advanced Information Networking and Applications Workshops (01.05.2014)
Published in 2014 28th International Conference on Advanced Information Networking and Applications Workshops (01.05.2014)
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Conference Proceeding
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Sharib Ali, Dmitrieva, Mariia, Ghatwary, Noha, Bano, Sophia, Polat, Gorkem, Temizel, Alptekin, Krenzer, Adrian, Hekalo, Amar, Guo, Yun Bo, Matuszewski, Bogdan, Gridach, Mourad, Voiculescu, Irina, Vishnusai Yoganand, Chavan, Arnav, Aryan Raj, Nguyen, Nhan T, Tran, Dat Q, Huynh, Le Duy, Boutry, Nicolas, Rezvy, Shahadate, Chen, Haijian, Yoon Ho Choi, Subramanian, Anand, Velmurugan Balasubramanian, Gao, Xiaohong W, Hu, Hongyu, Liao, Yusheng, Stoyanov, Danail, Daul, Christian, Realdon, Stefano, Cannizzaro, Renato, Lamarque, Dominique, Tran-Nguyen, Terry, Bailey, Adam, Braden, Barbara, East, James, Rittscher, Jens
Published in arXiv.org (17.02.2021)
Published in arXiv.org (17.02.2021)
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Paper
Journal Article
On demand-based frequency allocation to mitigate interference in Femto-Macro LTE cellular network
Rezvy, Shahadate, Rahman, Shahedur, Lasebae, Aboubaker, Loo, Jonathan
Published in Second International Conference on Future Generation Communication Technologies (FGCT 2013) (01.11.2013)
Published in Second International Conference on Future Generation Communication Technologies (FGCT 2013) (01.11.2013)
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Conference Proceeding