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Andre Esteva
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2020 – today
- 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) - [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 - [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) - 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) - [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
- [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) - [c3]Zheng Yuan, Andre Esteva, Ran Xu:
MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation. DGM4MICCAI/DALI@MICCAI 2021: 268-275 - [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
- [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) - [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)
2010 – 2019
- 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) - [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 - [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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