Michael S. Yao

According to our database, Michael S. Yao authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis.

Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael S. Yao, Chris Callison-Burch, James C. Gee, Mark Yatskar

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, Shi Gu

CoRR, 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

2023

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

Proceedings of the Predictive Intelligence in Medicine - 6th International Workshop, 2023

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

A Path Towards Clinical Adaptation of Accelerated MRI.

Michael S. Yao, Michael S. Hansen

Proceedings of the Machine Learning for Health, 2022