Daniel Kim at Northwestern University - Chicago - Research Interests, Publications & Academic Profile

Daniel Kim

Professor

Northwestern University

United States

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Research Interests

Medical Imaging

90%

Cardiology

100%

Cardiac Imaging

80%

Circulatory Physiology

40%

In Vivo Imaging

30%

Diffusion Mri

30%

Noninvasive Imaging

30%

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Recent Grants

Grant: Close

Rapid Cardiovascular MRI for Quantifying Coronary Microvascular Dysfunction in COVID-19 Survivors

Open Date: 2022-04-01

Close Date: 2025-03-31

Articles14

Use of Atrial Fibrillation Electrograms and T1/T2 Magnetic Resonance Imaging to Define the Progressive Nature of Molecular and Structural Remodeling: A New Paradigm Underlying the Emergence of Persistent Atrial Fibrillation

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Year:

2024

GRASP reconstruction amplified with view‐sharing and KWIC filtering reduces underestimation of peak velocity in highly‐accelerated real‐time phase‐contrast MRI: A preliminary evaluation in pediatric patients with congenital heart disease

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Year:

2024

Incorporation of view sharing and KWIC filtering into GRASP‐Pro improves spatial resolution of single‐shot, multi‐TI, late gadolinium enhancement MRI

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Year:

2024

Computationally Efficient IMplicit Training Strategy for UNrolled NEtworks (IMUNNE): A preliminary analysis using accelerated real-time cardiac cine MRI

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Year:

2024

Assessment of Beat‐To‐Beat Variability in Left Atrial Hemodynamics Using Real Time Phase Contrast MRI in Patients With Atrial Fibrillation

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Year:

2023

Modifying the trajectory of epicardial leads can substantially reduce MRI‐induced RF heating in pediatric patients with a cardiac implantable electronic device at 1.5T

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Year:

2023

Comparison of Biplane Area-Length Method and 3D Volume Quantification by Using Cardiac MRI for Assessment of Left Atrial Volume in Atrial Fibrillation

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Year:

2023

Optimal saturation recovery time for minimizing the underestimation of arterial input function in quantitative cardiac perfusion MRI

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Year:

2022

Atrial fibrillation and atrial cardiomyopathies

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Year:

2021

Automated segmentation of biventricular contours in tissue phase mapping using deep learning

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Year:

2021

Highly Accelerated Real-Time Free-Breathing Cine CMR for Patients With a Cardiac Implantable Electronic Device

Article Link

Year:

2021

A theoretical framework for retrospective correction to the arterial input function in quantitative myocardial perfusion MRI

Article Link

Year:

2021

Highly accelerated free‐breathing real‐time phase contrast cardiovascular MRI via complex‐difference deep learning

Article Link

Year:

2021

Using 5D flow MRI to decode the effects of rhythm on left atrial 3D flow dynamics in patients with atrial fibrillation

Article Link

Year:

2021

Collaborators9

Li Feng

Associate Professor

New York University Grossman School of Medicine

UNITED STATES

Shin Yoo

Research Associate Professor

University of Chicago

UNITED STATES

Lorenzo Di Sopra

EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND

Jeesoo Lee

Research Assistant Professor

Northwestern University Feinberg School of Medicine

UNITED STATES

Li-Yueh Hsu

National Institutes of Health

UNITED STATES

Giorgio Bonmassar

Associate Professor

Massachusetts General Hospital

UNITED STATES

Selcuk Kucukseymen

ITALY

Rod Passman

Professor of Medicine

Northwestern University

UNITED STATES

Bradley D. Allen

Northwestern University

UNITED STATES

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