Justin Ko

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 14

Top Topics

Fundamental Limits

Clinical Setting

Matrix Factorization

Top Venues

Publications

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, Gregory S. Corrado, Dale R. Webster, Dawn Siegel, Steven Lin, Justin Ko, Alan Karthikesalingam, Christopher Semturs, Pooja Rao
Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset. CoRR (2024)
Pierre Mergny, Justin Ko, Florent Krzakala, Lenka Zdeborová
Fundamental limits of Non-Linear Low-Rank Matrix Estimation. CoRR (2024)
Pierre Mergny, Justin Ko, Florent Krzakala, Lenka Zdeborová
Fundamental Limits of Non-Linear Low-Rank Matrix Estimation. COLT (2024)
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, Khoban Nasim, Alec Eschholz, Basil Mustafa, Jan Freyberg, Terry Spitz, Yossi Matias, Gregory S. Corrado, Katherine Chou, Dale R. Webster, Peggy Bui, Yuan Liu, Yun Liu, Justin Ko, Steven Lin
Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings. CoRR (2024)
Jean Barbier, Justin Ko, Anas A. Rahman
A multiscale cavity method for sublinear-rank symmetric matrix factorization. CoRR (2024)
Pierre Mergny, Justin Ko, Florent Krzakala
Spectral Phase Transition and Optimal PCA in Block-Structured Spiked models. CoRR (2024)
Aleksandr Pak, Justin Ko, Florent Krzakala
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model. CoRR (2023)
Aleksandr Pak, Justin Ko, Florent Krzakala
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model. NeurIPS (2023)
Kailas Vodrahalli, Justin Ko, Albert S. Chiou, Roberto A. Novoa, Abubakar Abid, Michelle Phung, Kiana Yekrang, Paige Petrone, James Zou, Roxana Daneshjou
Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality. CoRR (2022)
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, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, Johan A. C. Allerup, Utako Okata-Karigane, James Zou, Albert Chiou
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set. CoRR (2022)
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, Kiana Yekrang, Bradley Fong, Rachna Sahasrabudhe, James Zou, Albert Chiou
Disparities in Dermatology AI: Assessments Using Diverse Clinical Images. CoRR (2021)
Andre Esteva, Brett Kuprel, Roberto A. Novoa, Justin Ko, Susan M. Swetter, Helen M. Blau, Sebastian Thrun
Dermatologist-level classification of skin cancer with deep neural networks. Nat. 542 (7639) (2017)
Yunzhu Li, Andre Esteva, Brett Kuprel, Roberto A. Novoa, Justin Ko, Sebastian Thrun
Skin Cancer Detection and Tracking Using Data Synthesis and Deep Learning. AAAI Workshops (2017)
Yunzhu Li, Andre Esteva, Brett Kuprel, Roberto A. Novoa, Justin Ko, Sebastian Thrun
Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning. CoRR (2016)