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Neuroradiology|December 20, 2019
Children with epilepsy demonstrate macro- and microstructural changes in the thalamus, putamen, and amygdalaSarah J MacEachern, Jonathan D Santoro, Kara J Hahn, et al.BJR Open|September 15, 2022
Intubation and mortality prediction in hospitalized COVID-19 patients using a combination of convolutional neural network-based scoring of chest radiographs and clinical dataAileen O'Shea, Matthew D Li, Nathaniel D Mercaldo, et al.PLOS Digital Health|April 17, 2026
Leveraging deep learning to infer continuous predictions from ordinal labels in medical imagingKatharina V Hoebel, Andréanne Lemay, John Peter Campbell, et al.Radiology. Artificial Intelligence|December 6, 2021
Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical ImagingNishanth Arun, Nathan Gaw, Praveer Singh, et al.Journal of Neuro-Oncology|May 24, 2017
Chemoradiation impairs normal developmental cortical thinning in medulloblastomaPalak Kundu, Matthew D Li, Ben Y Durkee, et al.Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|May 27, 2023
Randomized Placebo-Controlled Trial to Evaluate Effects of Eplerenone on Myocardial Perfusion and Function Among Persons With Human Immunodeficiency Virus (HIV)-Results From the MIRACLE HIV StudySuman Srinivasa, Allie R Walpert, Teressa S Thomas, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 30, 2016
EMPOWERING MULTI-COHORT GENE EXPRESSION ANALYSIS TO INCREASE REPRODUCIBILITYWinston A Haynes, Francesco Vallania, Charles Liu, et al.Radiology. Cardiothoracic Imaging|March 29, 2021
Implementation of the Radiological Society of North America Expert Consensus Guidelines on Reporting Chest CT Findings Related to COVID-19: A Multireader Performance StudyAvik Som, Min Lang, Tristan Yeung, et al.Academic Radiology|February 16, 2020
Noninterpretive Uses of Artificial Intelligence in RadiologyMichael L Richardson, Elisabeth R Garwood, Yueh Lee, et al.Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networksMatthew D Li, Nishanth Thumbavanam Arun, Mishka Gidwani, et al.Pageof 24