ryan avery

Associate Professor

Northwestern Medicine

United States

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Ryan Avery is an Associate Professor at Northwestern Medicine, USA. His research primarily focuses on cardiac MRI techniques, particularly in the contexts of heart transplantation and cardiac diseases, including cardiac sarcoidosis and transthyretin cardiac amyloidosis. He has published extensively on topics such as 4D flow MRI, deep learning applications in imaging, and the harmonization of radiomics data for multicenter studies.

Articles (14)

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2025

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2025

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2025

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2025

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2025

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2023

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2022

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2022

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2022

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2021

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2020

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2020

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2020

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2020

Collaborators (8)

Mohammed S.M. Elbaz

Northwestern University

UNITED STATES

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Stephan Schuele

Northwestern University

UNITED STATES

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Roberta Catania

Assistant Professor

Northwestern University

UNITED STATES

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Peter Sporn

Professor of Medicine

Northwestern University Feinberg School of Medicine

UNITED STATES

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Stephen VanHaerents

Associate Professor

Northwestern University Feinberg School of Medicine

UNITED STATES

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gilles soulat

Université Paris-Saclay

FRANCE

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Sanjiv Shah

Northwestern University

UNITED STATES

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Peter Kellman

National Institutes of Health

UNITED STATES

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ryan avery

Research Interests

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About

Articles (14)

Quantitative Stress First-Pass Perfusion Cardiac MRI: State of the Art

Cardiac MRI in Heart Transplantation: Approaches and Clinical Insights

Pontine hyperperfusion associated with ictal central apnea

Clinical Cases in the Diagnosis of Cardiac Sarcoidosis.

Correlation between technetium-99m pyrophosphate myocardial uptake and extracellular volume on cardiac magnetic resonance imaging in patients with transthyretin cardiac amyloidosis

Don’t judge a book by its cover: a case report of apolipoprotein A-IV cardiac amyloidosis

4D flow MRI derived aortic hemodynamics multi-year follow-up in repaired coarctation with bicuspid aortic valve

A Framework for Harmonization of Radiomics Data for Multicenter Studies and Clinical Trials

Deep learning–based velocity antialiasing of 4D‐flow MRI

Highly accelerated aortic 4D flow MRI using compressed sensing: Performance at different acceleration factors in patients with aortic disease

Accelerated 3D Left Atrial Late Gadolinium Enhancement in Patients with Atrial Fibrillation at 1.5 T: Technical Development

Fully automated 3D aortic segmentation of 4D flow MRI for hemodynamic analysis using deep learning

Multimodal imaging of a giant left ventricular basal aneurysm and resulting intracardiac flow disturbances

Rapid Reconstruction of Four-dimensional MR Angiography of the Thoracic Aorta Using a Convolutional Neural Network

Collaborators (8)

Mohammed S.M. Elbaz

Stephan Schuele

Roberta Catania

Peter Sporn

Stephen VanHaerents

gilles soulat

Sanjiv Shah

Peter Kellman

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