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Ke Yu
Publications
- 2024
- [j43]Ke Yu, Li Sun, Junxiang Chen, Maxwell Reynolds, Tigmanshu Chaudhary, Kayhan Batmanghelich:
DrasCLR: A self-supervised framework of learning disease-related and anatomy-specific representation for 3D lung CT images. Medical Image Anal. 92: 103062 (2024) - 2023
- [c67]Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich:
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat. ICML 2023: 11360-11397 - [c64]Shantanu Ghosh, Ke Yu, Kayhan Batmanghelich:
Distilling BlackBox to Interpretable Models for Efficient Transfer Learning. MICCAI (2) 2023: 628-638 - [i27]Nihal Murali, Aahlad Manas Puli, Ke Yu, Rajesh Ranganath, Kayhan Batmanghelich:
Shortcut Learning Through the Lens of Early Training Dynamics. CoRR abs/2302.09344 (2023) - [i26]Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich:
Route, Interpret, Repeat: Blurring the Line Between Post hoc Explainability and Interpretable Models. CoRR abs/2302.10289 (2023) - [i25]Ke Yu, Li Sun, Junxiang Chen, Maxwell Reynolds, Tigmanshu Chaudhary, Kayhan Batmanghelich:
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images. CoRR abs/2302.10390 (2023) - [i24]Shantanu Ghosh, Ke Yu, Kayhan Batmanghelich:
Distilling BlackBox to Interpretable models for Efficient Transfer Learning. CoRR abs/2305.17303 (2023) - [i22]Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich:
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat. CoRR abs/2307.05350 (2023) - [i21]Ke Yu, Stephen Albro, Giulia DeSalvo, Suraj Kothawade, Abdullah Rashwan, Sasan Tavakkol, Kayhan Batmanghelich, Xiaoqi Yin:
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling. CoRR abs/2309.16139 (2023) - 2022
- [j28]Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich:
Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis. IEEE J. Biomed. Health Informatics 26(8): 3966-3975 (2022) - [c59]Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich:
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays. MICCAI (5) 2022: 658-668 - [i19]Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich:
Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays. CoRR abs/2206.12704 (2022) - [i17]Li Sun, Ke Yu, Kayhan Batmanghelich:
Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network. CoRR abs/2207.02957 (2022) - [i16]Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich:
Hyperbolic Molecular Representation Learning for Drug Repositioning. CoRR abs/2208.06361 (2022) - 2021
- [c57]Li Sun, Ke Yu, Kayhan Batmanghelich:
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images. AAAI 2021: 4874-4882 - [c56]Junxiang Chen, Li Sun, Ke Yu, Kayhan Batmanghelich:
Extracting Disease-Relevant Features with Adversarial Regularization. BIBM 2021: 3464-3471 - [c48]Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra:
Can contrastive learning avoid shortcut solutions? NeurIPS 2021: 4974-4986 - [i15]Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra:
Can contrastive learning avoid shortcut solutions? CoRR abs/2106.11230 (2021) - 2020
- [j22]Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich:
Semi-supervised Hierarchical Drug Embedding in Hyperbolic Space. J. Chem. Inf. Model. 60(12): 5647-5657 (2020) - [i13]Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich:
Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space. CoRR abs/2006.00986 (2020) - [i12]Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich:
Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN. CoRR abs/2008.01910 (2020) - [i9]Li Sun, Ke Yu, Kayhan Batmanghelich:
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images. CoRR abs/2012.06457 (2020)
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