CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation. - Soham Uday Gadgil; Mark Endo; Emily Wen; Andrew Y. Ng; Pranav Rajpurkar (MIDL, 2021)

Retrieval-Based Chest X-Ray Report Generation Using a Pre-trained Contrastive Language-Image Model. - Mark Endo; Rayan Krishnan; Viswesh Krishna; Andrew Y. Ng; Pranav Rajpurkar (ML4H@NeurIPS, 2021)

GaitForeMer: Self-supervised Pre-training of Transformers via Human Motion Forecasting for Few-Shot Gait Impairment Severity Estimation. - Mark Endo; Kathleen L. Poston; Edith V. Sullivan; Li Fei-Fei 001; Kilian M. Pohl; Ehsan Adeli-Mosabbeb (MICCAI (8), 2022)

Motion Question Answering via Modular Motion Programs. - Mark Endo; Joy Hsu; Jiaman Li; Jiajun Wu 001 (ICML, 2023)

Evaluating progress in automatic chest X-ray radiology report generation. - Feiyang Yu; Mark Endo; Rayan Krishnan; Ian Pan; Andy Tsai; Eduardo Pontes Reis; Eduardo Kaiser Ururahy Nunes Fonseca; Henrique Min Ho Lee; Zahra Shakeri Hossein Abad; Andrew Y. Ng; Curtis P. Langlotz; Vasantha Kumar Venugopal; et al. (Patterns, 2023)

Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration. - Mark Endo; Xiaohan Wang; Serena Yeung-Levy (CoRR, 2024)

Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases. - Mark Endo; Favour Nerrise; Qingyu Zhao; Edith V. Sullivan; Li Fei-Fei 001; Victor W. Henderson; Kilian M. Pohl; Kathleen L. Poston; Ehsan Adeli 001 (Nat. Mac. Intell., 2024)

Systematic Evaluation of Large Vision-Language Models for Surgical Artificial Intelligence. - Anita Rau; Mark Endo; Josiah Aklilu; Jaewoo Heo; Khaled Saab 003; Alberto Paderno; Jeffrey Jopling; F. Christopher Holsinger; Serena Yeung-Levy (CoRR, 2025)