Navigating Skin Concerns with AI: A Human-Centered Investigation of a Dermatology App in a Diverse Community.
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Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance.
CoRR, 2024
A multiscale cavity method for sublinear-rank symmetric matrix factorization.
CoRR, 2024
Crowdsourcing Dermatology Images with Google Search Ads: Creating a Real-World Skin Condition Dataset.
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CoRR, 2024
Closing the AI generalization gap by adjusting for dermatology condition distribution differences across clinical settings.
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CoRR, 2024
Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Fundamental Limits of Non-Linear Low-Rank Matrix Estimation.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Development and Clinical Evaluation of an AI Support Tool for Improving Telemedicine Photo Quality.
CoRR, 2022
Towards Realization of Augmented Intelligence in Dermatology: Advances and Future Directions.
CoRR, 2021
TrueImage: A Machine Learning Algorithm to Improve the Quality of Telehealth Photos.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
Dermatologist-level classification of skin cancer with deep neural networks.
Nat., 2017
Skin Cancer Detection and Tracking Using Data Synthesis and Deep Learning.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017