T. Hsu

Most-cited papers

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification
T. Hsu, Qi, Matthew Brown
2019arXiv.org1,776 citations
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Clinically Accurate Chest X-Ray Report Generation
Guan-Xiong Liu, T. Hsu, Matthew B. A. McDermott, Willie Boag +3 more
2019Machine Learning in Health Care371 citations
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Federated Visual Classification with Real-World Data Distribution
T. Hsu, Qi, Matthew Brown
2020European Conference on Computer Vision255 citations Open access
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3D-Aware Scene Manipulation via Inverse Graphics
Shunyu Yao, T. Hsu, Jun-Yan Zhu, Jiajun Wu +3 more
2018Neural Information Processing Systems94 citations
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Transfer Neural Trees for Heterogeneous Domain Adaptation
Wei-Yu Chen, T. Hsu, Yao-Hung Hubert Tsai, Y. Wang +1 more
2016European Conference on Computer Vision94 citations
Semantic Scholar
Learning Food Quality and Safety from Wireless Stickers
Unsoo Ha, Yunfei Ma, Zexuan Zhong, T. Hsu +1 more
2018ACM Workshop on Hot Topics in Networks76 citations Open access
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Unsupervised Domain Adaptation with Imbalanced Cross-Domain Data
T. Hsu, Wei-Yu Chen, Cheng-An Hou, Yao-Hung Hubert Tsai +2 more
2015IEEE International Conference on Computer Vision67 citations
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Artificial intelligence to assess body composition on routine abdominal CT scans and predict mortality in pancreatic cancer- A recipe for your local application.
T. Hsu, K. Schawkat, S. Berkowitz, Jesse Wei +9 more
2021European Journal of Radiology45 citations
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Unsupervised Multimodal Representation Learning across Medical Images and Reports
T. Hsu, Wei-Hung Weng, Willie Boag, Matthew B. A. McDermott +1 more
2018arXiv.org38 citations
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CheXpert++: Approximating the CheXpert labeler for Speed, Differentiability, and Probabilistic Output
Matthew B. A. McDermott, T. Hsu, Wei-Hung Weng, Marzyeh Ghassemi +1 more
2020Machine Learning in Health Care37 citations
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Neuroimaging Prediction of Hemorrhagic Transformation for Acute Ischemic Stroke
L. Hong, T. Hsu, Yiran Zhang, Xin Cheng
2022Cerebrovascular Diseases20 citations
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Visceral Adiposity and Severe COVID-19 Disease: Application of an Artificial Intelligence Algorithm to Improve Clinical Risk Prediction
A. Goehler, T. Hsu, J. Seiglie, M. Siedner +10 more
2021Open Forum Infectious Diseases20 citations Open access
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Transfer Neural Trees: Semi-Supervised Heterogeneous Domain Adaptation and Beyond
Wei-Yu Chen, T. Hsu, Yao-Hung Hubert Tsai, Ming-Syan Chen +1 more
2019IEEE Transactions on Image Processing18 citations
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Adversarial Contrastive Pre-training for Protein Sequences
Matthew B. A. McDermott, Brendan Yap, T. Hsu, Di Jin +1 more
2021arXiv.org10 citations
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DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision
T. Hsu, Y. Wang
2021International Conference on Medical Image Computing and Computer-Assisted Intervention6 citations Open access
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Connecting the dots without clues: Unsupervised domain adaptation for cross-domain visual classification
Wei-Yu Chen, T. Hsu, Cheng-An Hou, Yi-Ren Yeh +1 more
2015International Conference on Information Photonics1 citations
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Effective Modeling in Medical Imaging with Constrained Data
T. Hsu
20220 citations
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ROBUST MOTION ARTIFACT REDUCTION OF PHOTOPLETHYSMOGRAPHIC SIGNALS WITH TRAJECTORY SPACE CIRCULAR MOTION MODEL
T. Hsu, Wei-Yu Chen, Kuan-Lin Chen, Mong-Chi Ko +2 more
20150 citations
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