Walter R. Witschey

According to our database, Walter R. Witschey authored at least 5 papers between 2019 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

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

2021

Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank.

Matthew T. MacLean, Qasim Jehangir, Marijana Vujkovic, Yi-An Ko, Harold Litt, Arijitt Borthakur, Hersh Sagreiya, Mark Rosen, David A. Mankoff, Mitchell D. Schnall, Haochang Shou, Julio A. Chirinos, Scott M. Damrauer, Drew A. Torigian, Rotonya Carr, Daniel J. Rader, Walter R. Witschey

J. Am. Medical Informatics Assoc., 2021

2019

Machine learning in cardiovascular flows modeling: Predicting pulse wave propagation from non-invasive clinical measurements using physics-informed deep learning.

Georgios Kissas, Yibo Yang, Eileen Hwuang, Walter R. Witschey, John A. Detre, Paris Perdikaris

CoRR, 2019