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Michael V. McConnell

Researcher at Stanford University

Publications -  180
Citations -  11777

Michael V. McConnell is an academic researcher from Stanford University. The author has contributed to research in topics: Magnetic resonance imaging & Coronary artery disease. The author has an hindex of 48, co-authored 177 publications receiving 9961 citations. Previous affiliations of Michael V. McConnell include Dana Corporation & Brigham and Women's Hospital.

Papers
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Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning

TL;DR: In this article, the authors used deep learning models trained on retinal fundus images to predict cardiovascular risk factors not previously thought to be present or quantifiable in retinal images.
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FeCo/graphitic-shell nanocrystals as advanced magnetic-resonance-imaging and near-infrared agents

TL;DR: A scalable chemical vapour deposition method is presented to synthesize FeCo/single-graphitic-shell nanocry crystals that are soluble and stable in water solutions and point to the potential of using these nanocrystals for integrated diagnosis and therapeutic (photothermal-ablation) applications.
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Predicting Cardiovascular Risk Factors in Retinal Fundus Photographs using Deep Learning

TL;DR: Deep learning predicts, from retinal images, cardiovascular risk factors—such as smoking status, blood pressure and age—not previously thought to be present or quantifiable in these images.
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Regional right ventricular dysfunction detected by echocardiography in acute pulmonary embolism.

TL;DR: A distinct echocardiographic pattern of regional RV dysfunction, in which the apex is spared occurs in acute pulmonary embolism, should raise the level of clinical suspicion for the diagnosis of acute pulmonaryembolism.
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Positive contrast magnetic resonance imaging of cells labeled with magnetic nanoparticles

TL;DR: Spectrally selective RF pulses are used to excite and refocus the off‐resonance water surrounding the labeling cells so that only the fluid and tissue immediately adjacent to the labeled cells are visible in the image.