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Mark Endo
Mark Endo
在 stanford.edu 的电子邮件经过验证 - 首页
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Retrieval-based chest x-ray report generation using a pre-trained contrastive language-image model
M Endo, R Krishnan, V Krishna, AY Ng, P Rajpurkar
Machine Learning for Health, 209-219, 2021
922021
Evaluating progress in automatic chest x-ray radiology report generation
F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, EKUN Fonseca, ...
Patterns 4 (9), 2023
892023
Gaitforemer: Self-supervised pre-training of transformers via human motion forecasting for few-shot gait impairment severity estimation
M Endo, KL Poston, EV Sullivan, L Fei-Fei, KM Pohl, E Adeli
International Conference on Medical Image Computing and Computer-Assisted …, 2022
262022
CheXseg: combining expert annotations with DNN-generated saliency maps for X-ray segmentation
SU Gadgil, M Endo, E Wen, AY Ng, P Rajpurkar
Medical Imaging with Deep Learning, 190-204, 2021
162021
Motion question answering via modular motion programs
M Endo, J Hsu, J Li, J Wu
International Conference on Machine Learning, 9312-9328, 2023
112023
Evaluating progress in automatic chest x-ray radiology report generation. medRxiv
F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, EKUN Fonseca, ...
Preprint posted online August 31, 10.1016, 2022
82022
Radiology report expert evaluation (rexval) dataset
F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, EKU Fonseca, H Lee, ...
42023
Evaluating progress in automatic chest X-ray radiology report generation. Patterns (NY) 2023 Sep 08; 4 (9): 100802. 10.1016/j. patter. 2023.100802
F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, E Fonseca, HMH Lee, ...
2
Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration
M Endo, X Wang, S Yeung-Levy
arXiv preprint arXiv:2412.13180, 2024
2024
Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases
M Endo, F Nerrise, Q Zhao, EV Sullivan, L Fei-Fei, VW Henderson, ...
Nature Machine Intelligence 6 (9), 1034-1045, 2024
2024
Weakly Supervised Understanding of Skilled Human Activity in Videos
M Endo, X Wang, S Yeung-Levy
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