| 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 | 64 | 2021 |
| 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 | 40 | 2023 |
| 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 | 18 | 2022 |
| 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 | 12 | 2021 |
| Motion question answering via modular motion programs M Endo, J Hsu, J Li, J Wu International Conference on Machine Learning, 9312-9328, 2023 | 9 | 2023 |
| 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 | 7 | 2022 |
| Radiology report expert evaluation (rexval) dataset F Yu, M Endo, R Krishnan, I Pan, A Tsai, EP Reis, EKU Fonseca, H Lee, ... | 3 | 2023 |
