Search Results for author: Justin Ko

Found 7 papers, 1 papers with code

Fundamental limits of Non-Linear Low-Rank Matrix Estimation

no code implementations7 Mar 2024 Pierre Mergny, Justin Ko, Florent Krzakala, Lenka Zdeborová

We consider the task of estimating a low-rank matrix from non-linear and noisy observations.

Denoising

Spectral Phase Transition and Optimal PCA in Block-Structured Spiked models

no code implementations6 Mar 2024 Pierre Mergny, Justin Ko, Florent Krzakala

We discuss the inhomogeneous spiked Wigner model, a theoretical framework recently introduced to study structured noise in various learning scenarios, through the prism of random matrix theory, with a specific focus on its spectral properties.

Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality

1 code implementation12 Sep 2022 Kailas Vodrahalli, Justin Ko, Albert S. Chiou, Roberto Novoa, Abubakar Abid, Michelle Phung, Kiana Yekrang, Paige Petrone, James Zou, Roxana Daneshjou

To address this issue, we developed TrueImage 2. 0, an artificial intelligence (AI) model for assessing patient photo quality for telemedicine and providing real-time feedback to patients for photo quality improvement.

Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set

no code implementations15 Mar 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

To ascertain potential biases in algorithm performance in this context, we curated the Diverse Dermatology Images (DDI) dataset-the first publicly available, expertly curated, and pathologically confirmed image dataset with diverse skin tones.

Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning

no code implementations4 Dec 2016 Yunzhu Li, Andre Esteva, Brett Kuprel, Rob Novoa, Justin Ko, Sebastian Thrun

Dense object detection and temporal tracking are needed across applications domains ranging from people-tracking to analysis of satellite imagery over time.

Dense Object Detection object-detection

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