activity
20152024
most citedMONAI: An open-source framework for deep learning in healthcare

452 citations · 1.1k across the 41 of their papers we have counts for

collaborators

43 papers

cs.CY2024★ 10 cited

Environment Scan of Generative AI Infrastructure for Clinical and Translational Science

Betina Idnay, Zihan Xu, William G. Adams +54

This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 instituti…

eess.IV2024★ 3 cited

Deep Learning-based Prediction of Breast Cancer Tumor and Immune Phenotypes from Histopathology

Tiago Gonçalves, Dagoberto Pulido-Arias, Julian Willett +8

The interactions between tumor cells and the tumor microenvironment (TME) dictate therapeutic efficacy of radiation and many systemic therapies in breast cancer. However, to date,…

cs.CY2023★ 39 cited

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Karim Lekadir, Aasa Feragen, Abdul Joseph Fofanah +117

Despite major advances in artificial intelligence (AI) for medicine and healthcare, the deployment and adoption of AI technologies remain limited in real-world clinical practice. I…

physics.med-ph2023★ 3 cited

Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data

Guillermo Lorenzo, Syed Rakin Ahmed, David A. Hormuth +5

Despite the remarkable advances in cancer diagnosis, treatment, and management that have occurred over the past decade, malignant tumors remain a major public health problem. Furth…

eess.IV2023

A generalized framework to predict continuous scores from medical ordinal labels

Katharina V. Hoebel, Andreanne Lemay, John Peter Campbell +7

Many variables of interest in clinical medicine, like disease severity, are recorded using discrete ordinal categories such as normal/mild/moderate/severe. These labels are used to…

physics.med-ph2023★ 1 cited

Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center Open Data Commons

Heather M. Whitney, Natalie Baughan, Kyle J. Myers +11

Purpose: The Medical Imaging and Data Resource Center (MIDRC) open data commons was launched to accelerate the development of artificial intelligence (AI) algorithms to help addres…