Difficulty Translation in Histopathology Images. - Jerry W. Wei; Arief A. Suriawinata; Xiaoying Liu 002; Bing Ren; Mustafa Nasir-Moin; Naofumi Tomita; Jason Wei; Saeed Hassanpour (AIME, 2020)

Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification. - Jerry W. Wei; Arief A. Suriawinata; Bing Ren; Xiaoying Liu 002; Mikhail Lisovsky; Louis J. Vaickus; Charles Brown; Michael Baker; Mustafa Nasir-Moin; Naofumi Tomita; Lorenzo Torresani; Jason Wei; et al. (WACV, 2021)

Patient level simulation and reinforcement learning to discover novel strategies for treating ovarian cancer. - Brian Murphy; Mustafa Nasir-Moin; Grace von Oiste; Viola Chen; Howard Antony Riina; Douglas Kondziolka; Eric K. Oermann (CoRR, 2021)

Identifying and mitigating bias in algorithms used to manage patients in a pandemic. - Yifan Li; Garrett Yoon; Mustafa Nasir-Moin; David Rosenberg; Sean Neifert; Douglas Kondziolka; Eric Karl Oermann (CoRR, 2021)

Artificial-intelligence-based molecular classification of diffuse gliomas using rapid, label-free optical imaging. - Todd C. Hollon; Cheng Jiang 003; Asadur Chowdury; Mustafa Nasir-Moin; Akhil Kondepudi; Alexander Aabedi; Arjun Adapa; Wajd Al-Holou; Jason Heth; Oren Sagher; Pedro R. Lowenstein; Maria Castro; et al. (CoRR, 2023)

Health system-scale language models are all-purpose prediction engines. - 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; et al. (Nat., 2023)

MedG-KRP: Medical Graph Knowledge Representation Probing. - 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; et al. (CoRR, 2024)