James E. East

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 11

Top Topics

Computer Vision

Polyp Detection

Unsupervised Learning

Top Venues

Medical Image Anal.

Publications

Ziang Xu, Sharib Ali, Soumya Gupta, Simon Leedham, James E. East, Jens Rittscher
Patch-level instance-group discrimination with pretext-invariant learning for colitis scoring. CoRR (2022)
Sharib Ali, Noha M. Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, Jiangpeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithami, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East
Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge. CoRR (2022)
Ziang Xu, Sharib Ali, James E. East, Jens Rittscher
Additive Angular Margin Loss and Model Scaling Network for Optimised Colitis Scoring. ISBI (2022)
Ziang Xu, Sharib Ali, Soumya Gupta, Simon Leedham, James E. East, Jens Rittscher
Patch-Level Instance-Group Discrimination with Pretext-Invariant Learning for Colitis Scoring. MLMI@MICCAI (2022)
Sharib Ali, Felix Zhou, Adam Bailey, Barbara Braden, James E. East, Xin Lu, Jens Rittscher
A deep learning framework for quality assessment and restoration in video endoscopy. Medical Image Anal. 68 (2021)
Sharib Ali, Debesh Jha, Noha M. Ghatwary, Stefano Realdon, Renato Cannizzaro, Osama E. Salem, Dominique Lamarque, Christian Daul, Kim V. Anonsen, Michael A. Riegler, Pål Halvorsen, Jens Rittscher, Thomas de Lange, James E. East
PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment. CoRR (2021)
Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Anal. 70 (2021)
Sharib Ali, Mariia Dmitrieva, Noha M. Ghatwary, Sophia Bano, Gorkem Polat, Alptekin Temizel, Adrian Krenzer, Amar Hekalo, Yun Bo Guo, Bogdan J. Matuszewski, Mourad Gridach, Irina Voiculescu, Vishnusai Yoganand, Arnav Chavan, Aryan Raj, Nhan T. Nguyen, Dat Q. Tran, Lê Duy Huynh, Nicolas Boutry, Shahadate Rezvy, Haijian Chen, Yoon Ho Choi, Anand Subramanian, Velmurugan Balasubramanian, Xiaohong W. Gao, Hongyu Hu, Yusheng Liao, Danail Stoyanov, Christian Daul, Stefano Realdon, Renato Cannizzaro, Dominique Lamarque, Terry Tran-Nguyen, Adam Bailey, Barbara Braden, James E. East, Jens Rittscher
A translational pathway of deep learning methods in GastroIntestinal Endoscopy. CoRR (2020)
Sharib Ali, Noha M. Ghatwary, Barbara Braden, Dominique Lamarque, Adam Bailey, Stefano Realdon, Renato Cannizzaro, Jens Rittscher, Christian Daul, James E. East
Endoscopy disease detection challenge 2020. CoRR (2020)
Sharib Ali, Felix Zhou, Adam Bailey, Barbara Braden, James E. East, Xin Lu, Jens Rittscher
A deep learning framework for quality assessment and restoration in video endoscopy. CoRR (2019)
Sharib Ali, Felix Zhou, Christian Daul, Barbara Braden, Adam Bailey, Stefano Realdon, James E. East, Georges Wagnières, Victor Loschenov, Enrico Grisan, Walter Blondel, Jens Rittscher
Endoscopy artifact detection (EAD 2019) challenge dataset. CoRR (2019)