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Context-aware Self-supervised Learning for Medical Images Using Graph Neural Network


Jul 06, 2022
Li Sun, Ke Yu, Kayhan Batmanghelich

* Accepted by NeurIPS workshop 2020. arXiv admin note: substantial text overlap with arXiv:2012.06457 

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Boosting the interpretability of clinical risk scores with intervention predictions


Jul 06, 2022
Eric Loreaux, Ke Yu, Jonas Kemp, Martin Seneviratne, Christina Chen, Subhrajit Roy, Ivan Protsyuk, Natalie Harris, Alexander D'Amour, Steve Yadlowsky, Ming-Jun Chen

* Accepted by DSHealth on KDD 2022 

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Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays


Jun 25, 2022
Ke Yu, Shantanu Ghosh, Zhexiong Liu, Christopher Deible, Kayhan Batmanghelich

* Accepted by MICCAI 20222 

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ReconfigISP: Reconfigurable Camera Image Processing Pipeline


Sep 10, 2021
Ke Yu, Zexian Li, Yue Peng, Chen Change Loy, Jinwei Gu

* ICCV 2021 

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Can contrastive learning avoid shortcut solutions?


Jun 21, 2021
Joshua Robinson, Li Sun, Ke Yu, Kayhan Batmanghelich, Stefanie Jegelka, Suvrit Sra

* Preprint 

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Context Matters: Graph-based Self-supervised Representation Learning for Medical Images


Dec 11, 2020
Li Sun, Ke Yu, Kayhan Batmanghelich

* Accepted to AAAI 2021 

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BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond


Dec 03, 2020
Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy

* Tech report, 15 pages, 15 figures 

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Understanding Deformable Alignment in Video Super-Resolution


Sep 15, 2020
Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy

* Tech report, 15 pages, 19 figures 

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Hierarchical Amortized Training for Memory-efficient High Resolution 3D GAN


Aug 05, 2020
Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich

* 10 pages, 9 figures. Under review 

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Semi-Supervised Hierarchical Drug Embedding in Hyperbolic Space


Jun 01, 2020
Ke Yu, Shyam Visweswaran, Kayhan Batmanghelich


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