Seungik Baek

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Associate Professor

Michigan State University

United States

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About

Dr. Seungik Baek is an Associate Professor at Michigan State University in the United States. His research focuses on the application of advanced computational modeling and deep learning techniques in cardiovascular mechanics, including the segmentation of abdominal aortic aneurysms and the mechanical characterization of arterial tissues. His recent work explores innovative approaches to understanding cardiovascular disease progression and the biochemomechanical aspects of vascular adaptation.

Recent Grants

Grant: Close

Image-based Multi-scale Modeling Framework of the Cardiopulmonary System: Longitudinal Calibration and Assessment of Therapies in Pediatric Pulmonary Hypertension

Open Date: 2017-03-15

Close Date: 2021-02-28

Grant: Close

Quantitative Analysis of Relationships Among Hemodynamics, Thrombus, and Abdomina

Open Date: 2013-03-01

Close Date: 2016-02-29

Grant: Close

Growth and Remodeling Model of Abdominal Aortic Aneurysm: Toward Clinical Applica

Open Date: 2012-08-01

Close Date: 2017-07-31

Grant: Close

EAGER: Integrative Computational Model for Mechanosensing and Subcellular Remodeling

Open Date: 2012-06-01

Close Date: 2014-12-31

Grant: Close

CAREER: Integration of Prior Knowledge and Patient-specific Observations in Vascular Growth and Remodeling Models

Open Date: 2012-02-01

Close Date: 2018-01-31

Articles (16)

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2025

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2021

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2021

Collaborators (7)

Sara Roccabianca

Michigan State University

UNITED STATES

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Mary Olive

University of Michigan

UNITED STATES

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Young-Dae Shim

Sungkyunkwan University

SOUTH KOREA

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Eun-Ho Lee

Assistant Professor

Sungkyunkwan University

SOUTH KOREA

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Amirhossein Arzani

Assistant Professor

University of Utah

UNITED STATES

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Dongman Ryu

Research professor

Pusan National University

SOUTH KOREA

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Hai-Chao Han

University of Texas at San Antonio

UNITED STATES

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Seungik Baek

Research Interests

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About

Recent Grants

Articles (16)

Automatic Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography Using a Patch-Based Dilated UNet Model

Multi-scaled temporal modeling of cardiovascular disease progression: An illustration of proximal arteries in pulmonary hypertension

Investigating the influence of collagen cross-linking on mechanical properties of thoracic aortic tissue

Rapid estimation of left ventricular contractility with a physics-informed neural network inverse modeling approach

Mechanical characterization of human umbilical arteries by thick-walled models: Enhanced vascular compliance by removing an abluminal lining

A biochemomechanical model of collagen turnover in arterial adaptations to hemodynamic loading

A multiscale framework for defining homeostasis in distal vascular trees: applications to the pulmonary circulation

Numerical simulations of the nonsymmetric growth and remodeling of arteries under axial twisting

Region-dependent mechanical characterization of porcine thoracic aorta with a one-to-many correspondence method to create virtual datasets using uniaxial tensile tests

Current state-of-the-art and utilities of machine learning for detection, monitoring, growth prediction, rupture risk assessment, and post-surgical management of abdominal aortic aneurysms

Data-driven computational models of ventricular-arterial hemodynamics in pediatric pulmonary arterial hypertension

Association of vortical structures and hemodynamic parameters for regional thrombus accumulation in abdominal aortic aneurysms

Deep Learning on Multiphysical Features and Hemodynamic Modeling for Abdominal Aortic Aneurysm Growth Prediction

Inverse modeling framework for characterizing patient-specific microstructural changes in the pulmonary arteries

Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications

Potential damage in pulmonary arterial hypertension: An experimental study of pressure-induced damage of pulmonary artery

Collaborators (7)

Sara Roccabianca

Mary Olive

Young-Dae Shim

Eun-Ho Lee

Amirhossein Arzani

Dongman Ryu

Hai-Chao Han

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