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Kayhan Batmanghelich

Showing results (1-10 of 47) with videos related to

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Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 3, 2024
Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance ElastographyMatthew Ragoza, Kayhan Batmanghelich
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|September 18, 2020
Weakly Supervised Disentanglement by Pairwise SimilaritiesJunxiang Chen, Kayhan Batmanghelich
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
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
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 12, 2021
Self-Supervised Vessel Enhancement Using Flow-Based ConsistenciesRohit Jena, Sumedha Singla, Kayhan Batmanghelich
Journal of Chemical Information and Modeling|November 3, 2020
Semi-supervised Hierarchical Drug Embedding in Hyperbolic SpaceKe Yu, Shyam Visweswaran, Kayhan Batmanghelich
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.
Oral Oncology|September 20, 2022
Automated detection of premalignant oral lesions on whole slide images using convolutional neural networksYingci Liu, Elizabeth Bilodeau, Brian Pollack, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 12, 2021
Using Causal Analysis for Conceptual Deep Learning ExplanationSumedha Singla, Stephen Wallace, Sofia Triantafillou, et al.
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.
Pageof 5

Showing results (1-10 of 47) with videos related to

Sort By:
Pageof 5
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|June 3, 2024
Physics-Informed Neural Networks for Tissue Elasticity Reconstruction in Magnetic Resonance ElastographyMatthew Ragoza, Kayhan Batmanghelich
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|September 18, 2020
Weakly Supervised Disentanglement by Pairwise SimilaritiesJunxiang Chen, Kayhan Batmanghelich
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
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
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 12, 2021
Self-Supervised Vessel Enhancement Using Flow-Based ConsistenciesRohit Jena, Sumedha Singla, Kayhan Batmanghelich
Journal of Chemical Information and Modeling|November 3, 2020
Semi-supervised Hierarchical Drug Embedding in Hyperbolic SpaceKe Yu, Shyam Visweswaran, Kayhan Batmanghelich
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.
Oral Oncology|September 20, 2022
Automated detection of premalignant oral lesions on whole slide images using convolutional neural networksYingci Liu, Elizabeth Bilodeau, Brian Pollack, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 12, 2021
Using Causal Analysis for Conceptual Deep Learning ExplanationSumedha Singla, Stephen Wallace, Sofia Triantafillou, et al.
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.
Pageof 5