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Li Sun
Ke Yu
Kayhan Batmanghelich

Showing results (1-10 of 5,592) with videos related to

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Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|October 15, 2021
Context Matters: Graph-based Self-supervised Representation Learning for Medical ImagesLi Sun, Ke Yu, Kayhan Batmanghelich
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|February 24, 2022
Extracting Disease-Relevant Features with Adversarial RegularizationJunxiang Chen, Li Sun, Ke Yu, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 3, 2024
Distilling BlackBox to Interpretable Models for Efficient Transfer LearningShantanu Ghosh, Ke Yu, Kayhan Batmanghelich
Journal of Chemical Information and Modeling|November 3, 2020
Semi-supervised Hierarchical Drug Embedding in Hyperbolic SpaceKe Yu, Shyam Visweswaran, Kayhan Batmanghelich
Advances in Neural Information Processing Systems|May 13, 2022
Can contrastive learning avoid shortcut solutions?Joshua Robinson, Li Sun, Ke Yu, et al.
IEEE Journal of Biomedical and Health Informatics|May 6, 2022
Hierarchical Amortized GAN for 3D High Resolution Medical Image SynthesisLi Sun, Junxiang Chen, Yanwu Xu, et al.
Medical Image Analysis|December 12, 2023
DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT imagesKe Yu, Li Sun, Junxiang Chen, et al.
Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning|September 15, 2023
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, RepeatShantanu Ghosh, Ke Yu, Forough Arabshahi, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|July 2, 2024
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-raysKe Yu, Shantanu Ghosh, Zhexiong Liu, et al.
Transactions on Machine Learning Research|April 22, 2024
Beyond Distribution Shift: Spurious Features Through the Lens of Training DynamicsNihal Murali, Aahlad Puli, Ke Yu, et al.
Pageof 560

Showing results (1-10 of 5,592) with videos related to

Sort By:
Pageof 560
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|October 15, 2021
Context Matters: Graph-based Self-supervised Representation Learning for Medical ImagesLi Sun, Ke Yu, Kayhan Batmanghelich
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|February 24, 2022
Extracting Disease-Relevant Features with Adversarial RegularizationJunxiang Chen, Li Sun, Ke Yu, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 3, 2024
Distilling BlackBox to Interpretable Models for Efficient Transfer LearningShantanu Ghosh, Ke Yu, Kayhan Batmanghelich
Journal of Chemical Information and Modeling|November 3, 2020
Semi-supervised Hierarchical Drug Embedding in Hyperbolic SpaceKe Yu, Shyam Visweswaran, Kayhan Batmanghelich
Advances in Neural Information Processing Systems|May 13, 2022
Can contrastive learning avoid shortcut solutions?Joshua Robinson, Li Sun, Ke Yu, et al.
IEEE Journal of Biomedical and Health Informatics|May 6, 2022
Hierarchical Amortized GAN for 3D High Resolution Medical Image SynthesisLi Sun, Junxiang Chen, Yanwu Xu, et al.
Medical Image Analysis|December 12, 2023
DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT imagesKe Yu, Li Sun, Junxiang Chen, et al.
Proceedings of the ... International Conference on Machine Learning. International Conference on Machine Learning|September 15, 2023
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, RepeatShantanu Ghosh, Ke Yu, Forough Arabshahi, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|July 2, 2024
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-raysKe Yu, Shantanu Ghosh, Zhexiong Liu, et al.
Transactions on Machine Learning Research|April 22, 2024
Beyond Distribution Shift: Spurious Features Through the Lens of Training DynamicsNihal Murali, Aahlad Puli, Ke Yu, et al.
Pageof 560