Skin Cancer Detection and Tracking Using Data Synthesis and Deep Learning. - Yunzhu Li; Andre Esteva; Brett Kuprel; Roberto A. Novoa; Justin Ko; Sebastian Thrun (AAAI Workshops, 2017)

Dermatologist-level classification of skin cancer with deep neural networks. - Andre Esteva; Brett Kuprel; Roberto A. Novoa; Justin Ko; Susan M. Swetter; Helen M. Blau; Sebastian Thrun (Nat., 2017)

TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos. - Kailas Vodrahalli; Roxana Daneshjou; Roberto A. Novoa; Albert Chiou; Justin M. Ko; James Zou 001 (PSB, 2021)

Towards Realization of Augmented Intelligence in Dermatology: Advances and Future Directions. - Roxana Daneshjou; Carrie Kovarik; Justin M. Ko (CoRR, 2021)

Disparities in Dermatology AI: Assessments Using Diverse Clinical Images. - Roxana Daneshjou; Kailas Vodrahalli; Weixin Liang; Roberto A. Novoa; Melissa Jenkins; Veronica Rotemberg; Justin Ko; Susan M. Swetter; Elizabeth E. Bailey; Olivier Gevaert; Pritam Mukherjee; Michelle Phung; et al. (CoRR, 2021)

Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set. - Roxana Daneshjou; Kailas Vodrahalli; Roberto A. Novoa; Melissa Jenkins; Weixin Liang; Veronica Rotemberg; Justin Ko; Susan M. Swetter; Elizabeth E. Bailey; Olivier Gevaert; Pritam Mukherjee; Michelle Phung; et al. (CoRR, 2022)

Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality. - Kailas Vodrahalli; Justin Ko; Albert S. Chiou; Roberto A. Novoa; Abubakar Abid; Michelle Phung; Kiana Yekrang; Paige Petrone; James Zou 001; Roxana Daneshjou (CoRR, 2022)

Optimal Algorithms for the Inhomogeneous Spiked Wigner Model. - Aleksandr Pak; Justin Ko; Florent Krzakala (NeurIPS, 2023)

Fundamental Limits of Non-Linear Low-Rank Matrix Estimation. - Pierre Mergny; Justin Ko; Florent Krzakala; Lenka Zdeborová (COLT, 2024)

Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models. - Pierre Mergny; Justin Ko; Florent Krzakala (ICML, 2024)

Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings. - Rajeev V. Rikhye; Aaron Loh; Grace Eunhae Hong; Preeti Singh; Margaret Ann Smith; Vijaytha Muralidharan; Doris Wong; Rory Sayres; Michelle Phung; Nicolas Betancourt; Bradley Fong; Rachna Sahasrabudhe; et al. (CoRR, 2024)

Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset. - Abbi Ward; Jimmy Li; Julie Wang; Sriram Lakshminarasimhan; Ashley Carrick; Bilson J. L. Campana; Jay Hartford; Pradeep Kumar S; Tiya Tiyasirichokchai; Sunny Virmani; Renee Wong; Yossi Matias; et al. (CoRR, 2024)

A multiscale cavity method for sublinear-rank symmetric matrix factorization. - Jean Barbier; Justin Ko; Anas A. Rahman (CoRR, 2024)

On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance. - Jean Barbier; Francesco Camilli; Justin Ko; Koki Okajima (CoRR, 2024)

Navigating Skin Concerns with AI: A Human-Centered Investigation of a Dermatology App in a Diverse Community. - Rory Sayres; Anna Devon-Sand; Mike Schaekermann; Margaret Ann Smith; Patricia Strachan; Grace Eunhae Hong; Trinh Nguyen; Doris Wong; Naama Hammel; Dawn Siegel; Kexin Ren; Chelsea Belletieri; et al. (CHI Extended Abstracts, 2025)