Affordances Provide a Fundamental Categorization Principle for Visual Scenes. - Michelle R. Greene; Christopher Baldassano; Andre Esteva; Diane M. Beck; Li Fei-Fei 001 (CoRR, 2014)

Vision-Based Classification of Developmental Disorders Using Eye-Movements. - Guido Pusiol; Andre Esteva; Scott S. Hall; Michael C. Frank; Arnold Milstein; Li Fei-Fei 001 (MICCAI (2), 2016)

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)

CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization. - Andre Esteva; Anuprit Kale; Romain Paulus; Kazuma Hashimoto; Wenpeng Yin 001; Dragomir R. Radev; Richard Socher (CoRR, 2020)

Best practices for authors of healthcare-related artificial intelligence manuscripts. - Sujay Kakarmath; Andre Esteva; Rima Arnaout; Hugh Harvey; Santosh Kumar 001; Evan D. Muse; Feng Dong; Leia Wedlund; Joseph C. Kvedar (npj Digit. Medicine, 2020)

MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation. - Zheng Yuan; Andre Esteva; Ran Xu (DGM4MICCAI/DALI@MICCAI, 2021)

Deep learning-enabled medical computer vision. - Andre Esteva; Katherine Chou; Serena Yeung; Nikhil Naik 002; Ali Madani; Ali Mottaghi; Yun Liu 013; Eric J. Topol; Jeff Dean; Richard Socher (npj Digit. Medicine, 2021)

COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization. - Andre Esteva; Anuprit Kale; Romain Paulus; Kazuma Hashimoto; Wenpeng Yin 001; Dragomir Radev; Richard Socher (npj Digit. Medicine, 2021)

Biological data annotation via a human-augmenting AI-based labeling system. - Douwe van der Wal; Iny Jhun; Israa Laklouk; Jeffrey J. Nirschl; Lara Richer; Rebecca Rojansky; Talent Theparee; Joshua Wheeler; Jörg Sander 003; Felix Y. Feng; Osama Mohamad; Silvio Savarese; et al. (npj Digit. Medicine, 2021)

Grading of Prostate Whole-slide Images Using Weak Self-supervised Learning. - Amirata Ghorbani; Andre Esteva; James Zou 001 (IEEECONF, 2022)

Data Shapley Valuation for Efficient Batch Active Learning. - Amirata Ghorbani; James Zou 001; Andre Esteva (IEEECONF, 2022)

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - Andre Esteva; Jean Feng; Douwe van der Wal; Shih-Cheng Huang; Jeffry P. Simko; Sandy Devries; Emmalyn Chen; Edward M. Schaeffer; Todd M. Morgan; Yilun Sun; Amirata Ghorbani; Nikhil Naik 002; et al. (npj Digit. Medicine, 2022)

Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision. - Gregory Holste; Douwe van der Wal; Hans Pinckaers; Rikiya Yamashita; Akinori Mitani; Andre Esteva (ISBI, 2023)

Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. - Andre Esteva; Jean Feng; Douwe van der Wal; Shih-Cheng Huang; Jeffry P. Simko; Sandy Devries; Emmalyn Chen; Edward M. Schaeffer; Todd M. Morgan; Yilun Sun; Amirata Ghorbani; Nikhil Naik 002; et al. (npj Digit. Medicine, 2023)