Skin Image Analysis for Erythema Migrans Detection and Automated Lyme Disease Referral. - Philippe Burlina; Neil Joshi; Elise Ng; Seth Billings; Alison W. Rebman; John N. Aucott (OR 2.0/CARE/CLIP/ISIC@MICCAI, 2018)

Automated detection of erythema migrans and other confounding skin lesions via deep learning. - Philippe M. Burlina; Neil Joshi; Elise Ng; Seth D. Billings; Alison W. Rebman; John N. Aucott (Comput. Biol. Medicine, 2019)

AI-based detection of erythema migrans and disambiguation against other skin lesions. - Philippe M. Burlina; Neil J. Joshi; Phil A. Mathew; William Paul; Alison W. Rebman; John N. Aucott (Comput. Biol. Medicine, 2020)

AI Progress in Skin Lesion Analysis. - Philippe M. Burlina; William Paul; Phil A. Mathew; Neil J. Joshi; Alison W. Rebman; John N. Aucott (CoRR, 2020)

EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation. - Haolin Yuan; Armin Hadzic; William Paul; Daniella Villegas de Flores; Philip Mathew; John N. Aucott; Yinzhi Cao; Philippe Burlina (CoRR, 2022)

EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness. - Haolin Yuan; John N. Aucott; Armin Hadzic; William Paul; Marcia Villegas de Flores; Philip Mathew; Philippe Burlina; Yinzhi Cao (MICCAI (4), 2023)

PFEDEDIT: Personalized Federated Learning via Automated Model Editing. - Haolin Yuan; William Paul; John N. Aucott; Philippe Burlina; Yinzhi Cao (ECCV (79), 2024)