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Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.

S. Ali, N. Ghatwary, D. Jha, E. Isik-Polat, G. Polat, C. Yang, W. Li, A. Galdran, M. Ballester, V. Thambawita, S. Hicks, S. Poudel, S. Lee, Z. Jin, T. Gan, C. Yu, J. Yan, D. Yeo, H. Lee, N. Tomar, M. Haithami, A. Ahmed, M. Riegler, C. Daul, P. Halvorsen, J. Rittscher, O. Salem, D. Lamarque, R. Cannizzaro, S. Realdon, T. de Lange, and J. East. CoRR, (2022)

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Li Li

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Deep Domain Decomposition Method: Elliptic Problems.W. Li, X. Xiang, and Y. Xu. MSML, volume 107 of Proceedings of Machine Learning Research, page 269-286. PMLR, (2020)Towards Robust Adaptive Object Detection under Noisy Annotations.X. Liu, W. Li, Q. Yang, B. Li, and Y. Yuan. CVPR, page 14187-14196. IEEE, (2022)SCAN++: Enhanced Semantic Conditioned Adaptation for Domain Adaptive Object Detection.W. Li, X. Liu, and Y. Yuan. IEEE Trans. Multim., (2023)Medical federated learning with joint graph purification for noisy label learning.Z. Chen, W. Li, X. Xing, and Y. Yuan. Medical Image Anal., (December 2023)COVID-19 datasets: A brief overview.K. Sun, W. Li, V. Saikrishna, M. Chadhar, and F. Xia. Comput. Sci. Inf. Syst., 19 (3): 1115-1132 (2022)MRM: Masked Relation Modeling for Medical Image Pre-Training with Genetics.Q. Yang, W. Li, B. Li, and Y. Yuan. ICCV, page 21395-21405. IEEE, (2023)Intervention & Interaction Federated Abnormality Detection with Noisy Clients.X. Liu, W. Li, and Y. Yuan. MICCAI (8), volume 13438 of Lecture Notes in Computer Science, page 309-319. Springer, (2022)SIGMA++: Improved Semantic-Complete Graph Matching for Domain Adaptive Object Detection.W. Li, X. Liu, and Y. Yuan. IEEE Trans. Pattern Anal. Mach. Intell., 45 (7): 9022-9040 (July 2023)$H^2$GM: A Hierarchical Hypergraph Matching Framework for Brain Landmark Alignment.Z. He, W. Li, T. Zhang, and Y. Yuan. MICCAI (10), volume 14229 of Lecture Notes in Computer Science, page 548-558. Springer, (2023)Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.S. Ali, N. Ghatwary, D. Jha, E. Isik-Polat, G. Polat, C. Yang, W. Li, A. Galdran, M. Ballester, V. Thambawita and 22 other author(s). CoRR, (2022)

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Disambiguation of "Li, Wuyang"

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Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.

Please choose a person to relate this publication to

Li Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Li, Wuyang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.

Please choose a person to relate this publication to

Li Li

Li Li

Li Li

Li Li

Li Li

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge.