Mona G. Flores

Nvidia (United States) — United States

Medicine · Health Sciences

21h-index4.3kcitations46works20.72yr avg
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Research Topics

Artificial Intelligence in Healthcare and Education(15), COVID-19 diagnosis using AI(10), Privacy-Preserving Technologies in Data(9), Machine Learning in Healthcare(9), Topic Modeling(7)

Publications46 total

Overview of real-world applications of federated learning with NVIDIA FLARE
Journal of Biopharmaceutical Statistics·2025· 2 cited
MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images
Medical Image Analysis·2024· 87 cited
Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need
Journal of the American Medical Informatics Association·2024· 23 citedOpen Access
The Virtual Child
Cancer Discovery·2024· 5 citedOpen Access
A Guideline for Open-Source Tools to Make Medical Imaging Data Ready for Artificial Intelligence Applications: A Society of Imaging Informatics in Medicine (SIIM) Survey
Journal of Imaging Informatics in Medicine·2024· 7 citedOpen Access
754 Prediction of 30-day All-Cause Readmission of Neurosurgery Patients Using Large Language Models
Neurosurgery·2024
Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need
arXiv (Cornell University)·2023Open Access
A study of generative large language model for medical research and healthcare
npj Digital Medicine·2023· 329 citedOpen Access
Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes
Health Informatics Journal·2023· 11 citedOpen Access
Industry perspective of artificial intelligence in medicine and surgery
Elsevier eBooks·2023· 1 cited
Contributors
Elsevier eBooks·2023
Health system-scale language models are all-purpose prediction engines
Nature·2023· 402 citedOpen Access
A Study of Generative Large Language Model for Medical Research and Healthcare
arXiv (Cornell University)·2023· 16 citedOpen Access
Do Gradient Inversion Attacks Make Federated Learning Unsafe?
IEEE Transactions on Medical Imaging·2023· 102 cited
A large language model for electronic health records
npj Digital Medicine·2022· 761 citedOpen Access
MONAI: An open-source framework for deep learning in healthcare
arXiv (Cornell University)·2022· 422 citedOpen Access
NVIDIA FLARE: Federated Learning from Simulation to Real-World
arXiv (Cornell University)·2022· 55 citedOpen Access
Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge
Medical Image Analysis·2022· 64 citedOpen Access
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images
arXiv (Cornell University)·2022· 41 citedOpen Access
GatorTron: A Large Language Model for Clinical Natural Language Processing
2022· 29 citedOpen Access
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Frequent Co-authors

Daguang Xu(20), Holger R. Roth(19), Andrew Feng(10), Wenqi Li(10), Anthony Costa(9), Bradford J. Wood(9), Barış Türkbey(9), Sheng Xu(8), Ziyue Xu(8), Andriy Myronenko(8), Jiang Bian(7), Stephanie A. Harmon(7), Dominic Borie(7), Kaleb E Smith(6), Yonghui Wu(6), Evrim Türkbey(6), Barbaros S. Erdal(6), Géraldine Rousvoal(6), Bruce A. Reitz(6), Xi Yang(5)