Explainable Severity ranking via pairwise n-hidden comparison: a case study of glaucoma. - Hong Nguyen; Cuong V. Nguyen; Shrikanth Narayanan; Benjamin Y. Xu; Michael Pazzani (CoRR, 2023)

ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization. - Hong Nguyen; Hoang Nguyen; Melinda Chang; Hieu Pham; Shrikanth Narayanan; Michael Pazzani (CVPR Workshops, 2024)

Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models. - Zhiwei Li; Carl Kesselman; Mike D'Arcy; Michael Pazzani; Benjamin Yizing Xu (e-Science, 2024)

ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization. - Hong Nguyen; Hoang Nguyen; Melinda Chang; Hieu H. Pham 001; Shrikanth Narayanan; Michael Pazzani (CoRR, 2024)