追蹤
Tzu-Ming Harry Hsu
標題
引用次數
引用次數
年份
Measuring the effects of non-identical data distribution for federated visual classification
TMH Hsu, H Qi, M Brown
arXiv preprint arXiv:1909.06335, 2019
9632019
Clinically Accurate Chest X-Ray Report Generation
G Liu, TMH Hsu, M McDermott, W Boag, WH Weng, P Szolovits, ...
Machine Learning for Healthcare Conference, 249-269, 2019
2682019
3d-aware scene manipulation via inverse graphics
S Yao, TM Hsu, JY Zhu, J Wu, A Torralba, B Freeman, J Tenenbaum
Advances in neural information processing systems 31, 2018
2572018
Federated visual classification with real-world data distribution
TMH Hsu, H Qi, M Brown
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1722020
Unsupervised domain adaptation with imbalanced cross-domain data
T Ming Harry Hsu, W Yu Chen, CA Hou, YH Hubert Tsai, YR Yeh, ...
Proceedings of the IEEE International Conference on Computer Vision, 4121-4129, 2015
842015
Learning food quality and safety from wireless stickers
U Ha, Y Ma, Z Zhong, TM Hsu, F Adib
Proceedings of the 17th ACM workshop on hot topics in networks, 106-112, 2018
762018
Transfer Neural Trees for Heterogeneous Domain Adaptation
WY Chen, TMH Hsu, YHH Tsai, YCF Wang, MS Chen
Computer Vision (ECCV), 2016 European Conference on, 2016
742016
Baselines for chest x-ray report generation
W Boag, TMH Hsu, M McDermott, G Berner, E Alesentzer, P Szolovits
Machine learning for health workshop, 126-140, 2020
602020
Unsupervised Multimodal Representation Learning across Medical Images and Reports
TMH Hsu, WH Weng, W Boag, M McDermott, P Szolovits
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018, 2018
442018
Chexpert++: Approximating the chexpert labeler for speed, differentiability, and probabilistic output
MBA McDermott, TMH Hsu, WH Weng, M Ghassemi, P Szolovits
Machine Learning for Healthcare Conference, 913-927, 2020
342020
Artificial intelligence to assess body composition on routine abdominal CT scans and predict mortality in pancreatic cancer–A recipe for your local application
TMH Hsu, K Schawkat, SJ Berkowitz, JL Wei, A Makoyeva, K Legare, ...
European journal of radiology 142, 109834, 2021
302021
Visceral adiposity and severe COVID-19 disease: application of an artificial intelligence algorithm to improve clinical risk prediction
A Goehler, TMH Hsu, JA Seiglie, MJ Siedner, J Lo, V Triant, J Hsu, ...
Open forum infectious diseases 8 (7), ofab275, 2021
222021
Transfer neural trees: Semi-supervised heterogeneous domain adaptation and beyond
WY Chen, TMH Hsu, YHH Tsai, MS Chen, YCF Wang
IEEE Transactions on Image Processing 28 (9), 4620-4633, 2019
182019
Three-dimensional neural network to automatically assess liver tumor burden change on consecutive liver MRIs
A Goehler, TMH Hsu, R Lacson, I Gujrathi, R Hashemi, G Chlebus, ...
Journal of the American College of Radiology 17 (11), 1475-1484, 2020
172020
Adversarial contrastive pre-training for protein sequences
M McDermott, B Yap, H Hsu, D Jin, P Szolovits
arXiv preprint arXiv:2102.00466, 2021
102021
Positional assessment of lower third molar and mandibular canal using explainable artificial intelligence
S Kempers, P van Lierop, TMH Hsu, DA Moin, S Bergé, H Ghaeminia, T Xi, ...
Journal of Dentistry 133, 104519, 2023
82023
Emulating clinical diagnostic reasoning for jaw cysts with machine learning
B Feher, U Kuchler, F Schwendicke, L Schneider, ...
Diagnostics 12 (8), 1968, 2022
82022
Intra-oral scan segmentation using deep learning
S Vinayahalingam, S Kempers, J Schoep, TMH Hsu, DA Moin, ...
BMC Oral Health 23 (1), 643, 2023
52023
DeepOPG: Improving Orthopantomogram Finding Summarization with Weak Supervision
TMH Hsu, YCC Wang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
32021
Automatic longitudinal assessment of tumor responses
TMH Hsu
Massachusetts Institute of Technology, 2020
22020
系統目前無法執行作業,請稍後再試。
文章 1–20