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Journal Articles
- 2023
[j1]Lavender Yao Jiang
, Xujin Chris Liu, Nima Pour Nejatian, Mustafa Nasir-Moin, Duo Wang, Anas Z. Abidin, Kevin Eaton, Howard Antony Riina, Ilya Laufer, Paawan Punjabi, Madeline Miceli, Nora C. Kim, Cordelia Orillac, Zane Schnurman, Christopher Livia, Hannah Weiss, David Kurland, Sean Neifert, Yosef Dastagirzada, Douglas Kondziolka, Alexander T. M. Cheung, Grace Yang, Ming Cao, Mona Flores, Anthony B. Costa, Yindalon Aphinyanaphongs, Kyunghyun Cho, Eric Karl Oermann:
Health system-scale language models are all-purpose prediction engines. Nat. 619(7969): 357-362 (2023)
Conference and Workshop Papers
- 2021
- [c2]Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour:
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. WACV 2021: 2472-2482 - 2020
- [c1]Jerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour:
Difficulty Translation in Histopathology Images. AIME 2020: 238-248
Informal and Other Publications
- 2024
- [i6]Gabriel R. Rosenbaum, Lavender Yao Jiang, Ivaxi Sheth, Jaden Stryker, Anton Alyakin, Daniel Alexander Alber, Nicolas K. Goff, Young Joon Fred Kwon, John Markert, Mustafa Nasir-Moin, Jan Moritz Niehues, Karl L. Sangwon, Eunice Yang, Eric Karl Oermann:
MedG-KRP: Medical Graph Knowledge Representation Probing. CoRR abs/2412.10982 (2024) - 2023
- [i5]Todd C. Hollon, Cheng Jiang, Asadur Chowdury, Mustafa Nasir-Moin, Akhil Kondepudi, Alexander Aabedi, Arjun Adapa, Wajd Al-Holou, Jason Heth, Oren Sagher, Pedro R. Lowenstein, Maria Castro, Lisa Irina Wadiura, Georg Widhalm, Volker Neuschmelting, David Reinecke, Niklas von Spreckelsen, Mitchel S. Berger, Shawn Hervey-Jumper, John G. Golfinos, Matija Snuderl, Sandra Camelo-Piragua, Christian W. Freudiger, Honglak Lee, Daniel A. Orringer:
Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging. CoRR abs/2303.13610 (2023) - 2021
- [i4]Brian Murphy, Mustafa Nasir-Moin, Grace von Oiste, Viola Chen, Howard Antony Riina, Douglas Kondziolka, Eric K. Oermann:
Patient level simulation and reinforcement learning to discover novel strategies for treating ovarian cancer. CoRR abs/2110.11872 (2021) - [i3]Yifan Li, Garrett Yoon, Mustafa Nasir-Moin, David Rosenberg, Sean Neifert, Douglas Kondziolka, Eric Karl Oermann:
Identifying and mitigating bias in algorithms used to manage patients in a pandemic. CoRR abs/2111.00340 (2021) - 2020
- [i2]Jerry W. Wei, Arief A. Suriawinata, Xiaoying Liu, Bing Ren, Mustafa Nasir-Moin, Naofumi Tomita, Jason Wei, Saeed Hassanpour:
Difficulty Translation in Histopathology Images. CoRR abs/2004.12535 (2020) - [i1]Jerry W. Wei, Arief A. Suriawinata, Bing Ren, Xiaoying Liu, Mikhail Lisovsky, Louis J. Vaickus, Charles Brown, Michael Baker, Mustafa Nasir-Moin, Naofumi Tomita, Lorenzo Torresani, Jason Wei, Saeed Hassanpour:
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. CoRR abs/2009.13698 (2020)
Coauthor Index
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