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Junxiang Chen
Kayhan Batmanghelich

Showing results (1-10 of 193) with videos related to

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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. IEEE International Conference on Bioinformatics and Biomedicine|February 24, 2022
Extracting Disease-Relevant Features with Adversarial RegularizationJunxiang Chen, Li Sun, Ke Yu, et al.
Frontiers in Neuroscience|May 16, 2020
3D-BoxSup: Positive-Unlabeled Learning of Brain Tumor Segmentation Networks From 3D Bounding BoxesYanwu Xu, Mingming Gong, Junxiang Chen, 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.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|September 18, 2020
Generative-Discriminative Complementary LearningYanwu Xu, Mingming Gong, Junxiang Chen, 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.
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|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
Pageof 20

Showing results (1-10 of 193) with videos related to

Sort By:
Pageof 20
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. IEEE International Conference on Bioinformatics and Biomedicine|February 24, 2022
Extracting Disease-Relevant Features with Adversarial RegularizationJunxiang Chen, Li Sun, Ke Yu, et al.
Frontiers in Neuroscience|May 16, 2020
3D-BoxSup: Positive-Unlabeled Learning of Brain Tumor Segmentation Networks From 3D Bounding BoxesYanwu Xu, Mingming Gong, Junxiang Chen, 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.
Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|September 18, 2020
Generative-Discriminative Complementary LearningYanwu Xu, Mingming Gong, Junxiang Chen, 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.
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|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
Pageof 20