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Andre Esteva
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Journal Articles
- 2023
- [j7]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, Dhruv Nathawani
, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou
, Matthew P. Lungren, Serena Yeung
, Ashley E. Ross, Michael J. Kucharczyk, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler
, Phuoc T. Tran, Daniel E. Spratt
, Stephanie Pugh, Felix Y. Feng, Osama Mohamad:
Author Correction: Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 6 (2023) - 2022
- [j6]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, Dhruv Nathawani
, Richard Socher, Jeff M. Michalski, Mack Roach, Thomas M. Pisansky, Jedidiah M. Monson, Farah Naz, James Wallace, Michelle J. Ferguson, Jean-Paul Bahary, James Zou
, Matthew P. Lungren, Serena Yeung
, Ashley E. Ross, Michael J. Kucharczyk
, Luis Souhami, Leslie Ballas, Christopher A. Peters, Sandy Liu, Alexander G. Balogh, Pamela D. Randolph-Jackson, David L. Schwartz, Michael R. Girvigian, Naoyuki G. Saito, Adam Raben, Rachel A. Rabinovitch, Khalil Katato, Howard M. Sandler
, Phuoc T. Tran, Daniel E. Spratt
, Stephanie Pugh, Felix Y. Feng, Osama Mohamad:
Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials. npj Digit. Medicine 5 (2022) - 2021
- [j5]Andre Esteva
, Katherine Chou, Serena Yeung
, Nikhil Naik
, Ali Madani, Ali Mottaghi, Yun Liu
, Eric J. Topol, Jeff Dean, Richard Socher:
Deep learning-enabled medical computer vision. npj Digit. Medicine 4 (2021) - [j4]Andre Esteva
, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin
, Dragomir Radev
, Richard Socher:
COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization. npj Digit. Medicine 4 (2021) - [j3]Douwe van der Wal
, Iny Jhun, Israa Laklouk
, Jeffrey J. Nirschl
, Lara Richer, Rebecca Rojansky, Talent Theparee, Joshua Wheeler, Jörg Sander
, Felix Y. Feng, Osama Mohamad, Silvio Savarese, Richard Socher, Andre Esteva
:
Biological data annotation via a human-augmenting AI-based labeling system. npj Digit. Medicine 4 (2021) - 2020
- [j2]Sujay Kakarmath, Andre Esteva
, Rima Arnaout, Hugh Harvey, Santosh Kumar
, Evan D. Muse
, Feng Dong, Leia Wedlund, Joseph C. Kvedar
:
Best practices for authors of healthcare-related artificial intelligence manuscripts. npj Digit. Medicine 3 (2020) - 2017
- [j1]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): 115-118 (2017)
Conference and Workshop Papers
- 2023
- [c6]Gregory Holste, Douwe van der Wal, Hans Pinckaers, Rikiya Yamashita, Akinori Mitani, Andre Esteva:
Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision. ISBI 2023: 1-5 - 2022
- [c5]Amirata Ghorbani, Andre Esteva, James Zou:
Grading of Prostate Whole-slide Images Using Weak Self-supervised Learning. IEEECONF 2022: 1439-1443 - [c4]Amirata Ghorbani, James Zou, Andre Esteva:
Data Shapley Valuation for Efficient Batch Active Learning. IEEECONF 2022: 1456-1462 - 2021
- [c3]Zheng Yuan, Andre Esteva, Ran Xu:
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation. DGM4MICCAI/DALI@MICCAI 2021: 268-275 - 2017
- [c2]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 - 2016
- [c1]Guido Pusiol, Andre Esteva, Scott S. Hall, Michael C. Frank
, Arnold Milstein, Li Fei-Fei:
Vision-Based Classification of Developmental Disorders Using Eye-Movements. MICCAI (2) 2016: 317-325
Informal and Other Publications
- 2023
- [i6]Gregory Holste, Douwe van der Wal, Hans Pinckaers, Rikiya Yamashita, Akinori Mitani, Andre Esteva:
Improved Multimodal Fusion for Small Datasets with Auxiliary Supervision. CoRR abs/2304.00379 (2023) - 2021
- [i5]Amirata Ghorbani, James Zou, Andre Esteva:
Data Shapley Valuation for Efficient Batch Active Learning. CoRR abs/2104.08312 (2021) - [i4]Zheng Yuan, Andre Esteva, Ran Xu:
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation. CoRR abs/2109.14754 (2021) - 2020
- [i3]Andre Esteva, Anuprit Kale, Romain Paulus, Kazuma Hashimoto, Wenpeng Yin, Dragomir R. Radev, Richard Socher:
CO-Search: COVID-19 Information Retrieval with Semantic Search, Question Answering, and Abstractive Summarization. CoRR abs/2006.09595 (2020) - 2016
- [i2]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 abs/1612.01074 (2016) - 2014
- [i1]Michelle R. Greene, Christopher Baldassano, Andre Esteva, Diane M. Beck, Li Fei-Fei:
Affordances Provide a Fundamental Categorization Principle for Visual Scenes. CoRR abs/1411.5340 (2014)
Coauthor Index
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