Federated Learning for Breast Density Classification: A Real-World Implementation. - Holger R. Roth; Ken Chang; Praveer Singh; Nir Neumark; Wenqi Li 001; Vikash Gupta; Sharut Gupta; Liangqiong Qu; Alvin Ihsani; Bernardo C. Bizzo; Yuhong Wen; Varun Buch; et al. (DART/DCL@MICCAI, 2020)

Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning. - Vikash Gupta; Holger Roth; Varun Buch; Marcio Aloisio Bezerra Cavalcanti Rockenbach; Richard D. White; Dong Yang 005; Olga Laur; Brian B. Ghoshhajra; Ittai Dayan; Daguang Xu; Mona G. Flores; Barbaros Selnur Erdal (CoRR, 2020)

Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application. - Vikash Gupta; Clayton Taylor; Sarah Bonnet; Luciano M. Prevedello; Jeffrey Hawley; Richard D. White; Mona G. Flores; Barbaros Selnur Erdal (CoRR, 2020)

Deep Learning Based Automatic Detection of Adequately Positioned Mammograms. - Vikash Gupta; Clayton Taylor; Sarah Bonnet; Luciano M. Prevedello; Jeffrey Hawley; Richard D. White; Mona G. Flores; Barbaros Selnur Erdal (DART/FAIR@MICCAI, 2021)

Federated learning improves site performance in multicenter deep learning without data sharing. - Karthik V. Sarma; Stephanie A. Harmon; Thomas Sanford; Holger R. Roth; Ziyue Xu 001; Jesse Tetreault; Daguang Xu; Mona G. Flores; Alex G. Raman; Rushikesh Kulkarni; Bradford J. Wood; Peter L. Choyke; et al. (J. Am. Medical Informatics Assoc., 2021)

GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records. - Xi Yang 015; Nima M. Pournejatian; Hoo Chang Shin; Kaleb E. Smith; Christopher Parisien; Colin Compas; Cheryl Martin 002; Mona G. Flores; Ying Zhang; Tanja Magoc; Christopher A. Harle; Gloria P. Lipori; et al. (CoRR, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. - Holger R. Roth; Ziyue Xu 001; Carlos Tor-Díez; Ramon Sánchez-Jacob; Jonathan Zember; Jose Molto; Wenqi Li 001; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Dong Yang 005; Ahmed Harouni; et al. (Medical Image Anal., 2022)

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)

NVIDIA FLARE: Federated Learning from Simulation to Real-World. - Holger R. Roth; Yan Cheng; Yuhong Wen; Isaac Yang; Ziyue Xu 001; Yuan-Ting Hsieh; Kristopher Kersten; Ahmed Harouni; Can Zhao 001; Kevin Lu; Zhihong Zhang 001; Wenqi Li 001; et al. (IEEE Data Eng. Bull., 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)

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)

Do Gradient Inversion Attacks Make Federated Learning Unsafe? - Ali Hatamizadeh; Hongxu Yin; Pavlo Molchanov 001; Andriy Myronenko; Wenqi Li 001; Prerna Dogra; Andrew Feng; Mona G. Flores; Jan Kautz; Daguang Xu; Holger R. Roth (IEEE Trans. Medical Imaging, 2023)

Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes. - Malhar Patel; Ittai Dayan; Elliot K. Fishman; Mona Flores; Fiona J. Gilbert; Michal Guindy; Eugene J. Koay; Michael Rosenthal; Holger R. Roth; Marius George Linguraru (Health Informatics J., 2023)

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)

MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. - Andres Diaz-Pinto; Sachidanand Alle; Vishwesh Nath; Yucheng Tang; Alvin Ihsani; Muhammad Asad 001; Fernando Pérez-García; Pritesh Mehta; Wenqi Li 001; Mona Flores; Holger R. Roth; Tom Vercauteren; et al. (Medical Image Anal., 2024)