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Journal of the American Heart Association|June 30, 2016
Inflammatory Markers Associated With Subclinical Coronary Artery Disease: The Multicenter AIDS Cohort StudyHossein Bahrami, Matthew Budoff, Sabina A Haberlen, et al.
Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography|January 22, 2014
Relationship between echocardiographic and magnetic resonance derived measures of right ventricular size and function in patients with pulmonary hypertensionHadas Shiran, Roham T Zamanian, Michael V McConnell, et al.
Nature Communications|October 7, 2014
Continuous wireless pressure monitoring and mapping with ultra-small passive sensors for health monitoring and critical careLisa Y Chen, Benjamin C-K Tee, Alex L Chortos, et al.
Radiology. Cardiothoracic Imaging|February 21, 2020
Sexual Dimorphism of Coronary Artery Disease in a Low- and Intermediate-Risk Asymptomatic Population: Association with Coronary Vessel Wall Thickness at MRI in WomenAhmed M Ghanem, Jatin Raj Matta, Reham Elgarf, et al.
Circulation|September 23, 2022
Detection of Atrial Fibrillation in a Large Population Using Wearable Devices: The Fitbit Heart StudySteven A Lubitz, Anthony Z Faranesh, Caitlin Selvaggi, et al.
Scientific Reports|February 24, 2026
Retinal BioAge is associated with indicators of cardiovascular-kidney-metabolic syndrome in UK and US populationsDavid Squirrell, Christopher Nielsen, Ehsan Vaghefi, et al.
Nature Materials|November 23, 2006
FeCo/graphitic-shell nanocrystals as advanced magnetic-resonance-imaging and near-infrared agentsWon Seok Seo, Jin Hyung Lee, Xiaoming Sun, et al.
NPJ Digital Medicine|July 16, 2019
Deep learning predicts hip fracture using confounding patient and healthcare variablesMarcus A Badgeley, John R Zech, Luke Oakden-Rayner, et al.
Magnetic Resonance in Medicine|November 30, 2005
Dual in vivo magnetic resonance evaluation of magnetically labeled mouse embryonic stem cells and cardiac function at 1.5 tTakayasu Arai, Theo Kofidis, Jeff W M Bulte, et al.
Bioinformatics (Oxford, England)|October 11, 2018
CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosisMarcus A Badgeley, Manway Liu, Benjamin S Glicksberg, et al.
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