Extending the length and time scales of Gram-Schmidt Lyapunov vector computations. - Anthony B. Costa; Jason R. Green (J. Comput. Phys., 2013)

Operator experience determines performance in a simulated computer-based brain tumor resection task. - Terrell Holloway; Zachary S. Lorsch; Michael A. Chary; Stanislaw Sobotka; Maximillian M. Moore; Anthony B. Costa; Rolando F. Del Maestro; Joshua Bederson (Int. J. Comput. Assist. Radiol. Surg., 2015)

Beacon: Deployment and Application of Intel Xeon Phi Coprocessorsfor Scientific Computing. - R. Glenn Brook; Alexander Heinecke; Anthony B. Costa; Paul Peltz Jr.; Vincent C. Betro; Troy Baer; Michael Bader; Pradeep Dubey (Comput. Sci. Eng., 2015)

Wide and deep volumetric residual networks for volumetric image classification. - Varun Arvind; Anthony B. Costa; Marcus A. Badgeley; Samuel K. Cho; Eric K. Oermann (CoRR, 2017)

Confounding variables can degrade generalization performance of radiological deep learning models. - John R. Zech; Marcus A. Badgeley; Manway Liu; Anthony B. Costa; Joseph J. Titano; Eric K. Oermann (CoRR, 2018)

Appropriate Evaluation of Diagnostic Utility of Machine Learning Algorithm Generated Images. - Young Joon Kwon; Danielle Toussie; Lea Azour; Jose Concepcion; Corey Eber; G. Anthony Reina; Ping Tak Peter Tang; Amish H. Doshi; Eric K. Oermann; Anthony B. Costa (ML4H@NeurIPS, 2020)

The Utility of General Domain Transfer Learning for Medical Language Tasks. - Daniel Ranti; Katie Hanss; Shan Zhao 004; Varun Arvind; Joseph J. Titano; Anthony B. Costa; Eric K. Oermann (CoRR, 2020)

A large language model for electronic health records. - Xi Yang 015; Aokun Chen; Nima M. Pournejatian; Hoo Chang Shin; Kaleb E. Smith; Christopher Parisien; Colin Compas; Cheryl Martin 002; Anthony B. Costa; Mona G. Flores; Ying Zhang; Tanja Magoc; et al. (npj Digit. Medicine, 2022)

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)

A study of generative large language model for medical research and healthcare. - Cheng Peng 009; Xi Yang 015; Aokun Chen; Kaleb E. Smith; Nima M. Pournejatian; Anthony B. Costa; Cheryl Martin 002; Mona G. Flores; Ying Zhang; Tanja Magoc; Gloria P. Lipori; Duane A. Mitchell; et al. (npj Digit. Medicine, 2023)

BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery. - Peter St. John; Dejun Lin; Polina Binder; Malcolm Greaves; Vega Shah; John St. John; Adrian Lange; Patrick D. Hsu; Rajesh Illango; Arvind Ramanathan; Anima Anandkumar; David H. Brookes; et al. (CoRR, 2024)

Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. - Cheng Peng 009; Xi Yang 015; Aokun Chen; Zehao Yu 001; Kaleb E. Smith; Anthony B. Costa; Mona G. Flores; Jiang Bian 001; Yonghui Wu (J. Am. Medical Informatics Assoc., 2024)