A Path Towards Clinical Adaptation of Accelerated MRI. - Michael S. Yao; Michael S. Hansen (ML4H@NeurIPS, 2022)

Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes. - Michael S. Yao; Allison Chae; Matthew T. MacLean; Anurag Verma; Jeffrey T. Duda; James C. Gee; Drew A. Torigian; Daniel J. Rader; Charles E. Kahn; Walter R. Witschey; Hersh Sagreiya (CoRR, 2022)

SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification. - Michael S. Yao; Allison Chae; Matthew T. MacLean; Anurag Verma; Jeffrey T. Duda; James C. Gee; Drew A. Torigian; Daniel J. Rader; Charles E. Kahn; Walter R. Witschey; Hersh Sagreiya (PRIME@MICCAI, 2023)

A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis. - Yue Yang 006; Mona Gandhi; Yufei Wang; Yifan Wu; Michael S. Yao; Chris Callison-Burch; James C. Gee; Mark Yatskar (NeurIPS, 2024)

Generative Adversarial Model-Based Optimization via Source Critic Regularization. - Michael S. Yao; Yimeng Zeng; Hamsa Bastani; Jacob R. Gardner; James C. Gee; Osbert Bastani (NeurIPS, 2024)

Generative Adversarial Bayesian Optimization for Surrogate Objectives. - Michael S. Yao; Yimeng Zeng; Hamsa Bastani; Jacob R. Gardner; James C. Gee; Osbert Bastani (CoRR, 2024)

A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data. - Yifan Wu; Yang Liu; Yue Yang; Michael S. Yao; Wenli Yang; Xuehui Shi; Lihong Yang; Dongjun Li; Yueming Liu; James C. Gee; Xuan Yang; Wenbin Wei 007; et al. (CoRR, 2024)

Evidence Is All You Need: Ordering Imaging Studies via Language Model Alignment with the ACR Appropriateness Criteria. - Michael S. Yao; Allison Chae; Charles E. Kahn Jr.; Walter R. Witschey; James C. Gee; Hersh Sagreiya; Osbert Bastani (CoRR, 2024)

Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization. - Michael S. Yao; James C. Gee; Osbert Bastani (CoRR, 2025)