Adolph J. Yates

According to our database, Adolph J. Yates authored at least 3 papers between 2024 and 2026.

Collaborative distances:

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

2026

Uncertainty-Quantified and Explainable Age- and Sex-Aware Contrastive Learning for Knee Osteoarthritis Classification.

Fengyi Gao, Farnaz Rezvani, Yushui Han, Michael Kann, Nickolas Littlefield, Hilal Maradit Kremers, Adolph J. Yates, Johannes F. Plate, Ahmad P. Tafti

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

State-of-the-Art in Responsible, Explainable, and Fair AI for Medical Image Analysis.

Soheyla Amirian, Fengyi Gao, Nickolas Littlefield, Jonathan H. Hill, Adolph J. Yates, Johannes F. Plate, Liron Pantanowitz, Hooman H. Rashidi, Ahmad P. Tafti

IEEE Access, 2025

2024

Generative AI in orthopedics: an explainable deep few-shot image augmentation pipeline for plain knee radiographs and Kellgren-Lawrence grading.

Nickolas Littlefield, Soheyla Amirian, Jacob T. Biehl, Edward G. Andrews, Michael Kann, Nicole Myers, Leah Reid, Adolph J. Yates, Brian J. McGrory, Bambang Parmanto, Thorsten M. Seyler, Johannes F. Plate, Hooman H. Rashidi, Ahmad P. Tafti

J. Am. Medical Informatics Assoc., 2024