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Michael Markl

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Professor & Vice Chair for Research

Northwestern University

United States

Research Interests

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Recent Grants

Grant: Open

AI Driven End-to-End 4D flow MRI Pipeline for Hemodynamic Assessment in BAV Disease

Open Date: 2025-08-05

Close Date: 2030-05-31

Grant: Open

AI Driven Point-of-Care Seismocardiography in Bicuspid Aortic Valve Disease

Open Date: 2024-07-01

Close Date: 2027-06-30

Grant: Open

Cardiac Imaging of Neuro-Embolic Mechanisms in Atriopathies causing Stroke (CINEMAS)

Open Date: 2024-05-01

Close Date: 2029-04-30

Grant: Close

State-of-the-art High Field 7T MRI System Upgrade to Accelerate Translational Sciences

Open Date: 2023-04-01

Close Date: 2025-03-31

Grant: Close

Non-invasive Evaluation of Intracranial Atherosclerotic Disease Using Hemodynamic Biomarkers

Open Date: 2020-09-01

Close Date: 2025-08-31

Articles (21)

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Tim Happel

Max Planck Institute for Plasma Physics

GERMANY

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Joshua Robinson

Associate Professor

Northwestern University

UNITED STATES

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Markus J. Markl

Graz University of Technology (90000)

AUSTRIA

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Fanwen Wang

Imperial College London

UNITED KINGDOM

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EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND

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Daniel Ennis

Professor of Radiology and Bioengineering

Stanford University

UNITED STATES

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Sukit Malaisrie

Professor of Surgery

Northwestern University Feinberg School of Medicine

UNITED STATES

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Laleh Golestani Rad

Associate Professor

Northwestern University

UNITED STATES

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Igor Barjaktarevic

University of California

UNITED STATES

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ryan avery

Associate Professor

Northwestern Medicine

UNITED STATES

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Bradley D. Allen

Northwestern University

UNITED STATES

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Bruce A. Craig

Purdue University

UNITED STATES

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Alistair Young

Professor

King’s College London

UNITED KINGDOM

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Johann Riesch

Max Planck Institute for Plasma Physics

GERMANY

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Michael Markl

Research Interests

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Recent Grants

Articles (21)

Toward Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 Challenge

4D Flow Yields Similar Clinical Results Compared To 2D Phase Contrast for Decision Making Regarding Pulmonary Valve Replacement in Repaired Tetralogy of Fallot.

Myocardial T1 and T2 values are associated with patient age in healthy pediatric heart transplant recipients.

Splanchnic hemodynamic parameters measured with 4D flow MRI can diagnose severe portal hypertension

Milestone in predicting core plasma turbulence: successful multi-channel validation of the gyrokinetic code GENE

Cardiac MRI in Heart Transplantation: Approaches and Clinical Insights

Cine MRI-Derived Radiomics for the Detection of Functional Tricuspid Regurgitation in Pulmonary Hypertension: A Proof-of-Concept Study

3D Vortex‐Energetics in the Left Pulmonary Artery for Differentiating Pulmonary Arterial Hypertension and Pulmonary Venous Hypertension Groups Using 4D Flow MRI

A Fully Automated Analysis Pipeline for 4D Flow MRI in the Aorta

CMRxRecon2024: A Multimodality, Multiview k-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI

Aortic velocity measurements derived from phase-contrast MRI are influenced by a cardiac implantable electronic device in both adult and pediatric human subjects

Cardiovascular MRI-based Biventricular Perfusion Assessment in Two Patients with Chronic Thromboembolic Pulmonary Hypertension Undergoing Pulmonary Thromboendarterectomy.

SPIROMICS HF: Rationale, Design, and Reproducibility of Measures.

Anatomy-derived 3D Aortic Hemodynamics Using Fluid Physics-informed Deep Learning.

Erratum for: CMRxRecon2024: A Multimodality, Multiview k-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.

4D Flow MRI Allows for Enhanced Characterization of Aortic Regurgitation

4D Flow MRI derived aortic pulse wave velocity and wall shear stress in Covid-19

4D Flow MRI of the Thoracic Aorta

4D flow MRI velocity uncertainty quantification

Aortic Valve Type and Stenosis Can Be Identified from Wearable-Recorded Seismocardiograms Using Machine-Learned Classifiers

Multiparametric Cardiac Magnetic Resonance Imaging Detects Altered Myocardial Tissue and Function in Heart Transplantation Recipients Monitored for Cardiac Allograft Vasculopathy

Collaborators (23)

Mohammed S.M. Elbaz

Allen Anderson

Kai Lin

Roberta Catania

Oliver Wieben

Tim Happel

Joshua Robinson

Markus J. Markl

Fanwen Wang

Bradley P. Knight

Richard Weinberg

Daniel Kim

Stylianos Varoutis

Olivier Sauter

Daniel Ennis

Sukit Malaisrie

Laleh Golestani Rad

Igor Barjaktarevic

ryan avery

Bradley D. Allen

Bruce A. Craig

Alistair Young

Johann Riesch

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