Shawn C. Shadden

Shawn C. Shadden

University of California, Berkeley

H-index: 44

North America-United States

About Shawn C. Shadden

Shawn C. Shadden, With an exceptional h-index of 44 and a recent h-index of 34 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Biofluids, Biomechanics, Dynamical Systems, Hemodynamics, Fluid Mechanics.

His recent articles reflect a diverse array of research interests and contributions to the field:

LinFlo-Net: A two-stage deep learning method to generate simulation ready meshes of the heart

Unsupervised Denoising and Super-Resolution of Vascular Flow Data by Physics-Informed Machine Learning

A singular Woodbury and pseudo-determinant matrix identities and application to Gaussian process regression

An integrative experimental and computational twin modeling approach to understand clonal dynamics in the normal liver

Mathematical modeling of blood flow to evaluate hemodynamic significance of peripheral vascular legions

Learning diffeomorphic deformations for whole heart mesh generation

Noise estimation in Gaussian process regression

Interpolating log-determinant and trace of the powers of matrix

Shawn C. Shadden Information

University

Position

Associate Professor of Mechanical Engineering

Citations(all)

8062

Citations(since 2020)

3905

Cited By

5684

hIndex(all)

44

hIndex(since 2020)

34

i10Index(all)

76

i10Index(since 2020)

68

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Shawn C. Shadden Skills & Research Interests

Biofluids

Biomechanics

Dynamical Systems

Hemodynamics

Fluid Mechanics

Top articles of Shawn C. Shadden

Title

Journal

Author(s)

Publication Date

LinFlo-Net: A two-stage deep learning method to generate simulation ready meshes of the heart

Journal of Biomechanical Engineering

Arjun Narayanan

Fanwei Kong

Shawn Shadden

2024/7/1

Unsupervised Denoising and Super-Resolution of Vascular Flow Data by Physics-Informed Machine Learning

Journal of Biomechanical Engineering

Théophile Sautory

Shawn C Shadden

2024/9/1

A singular Woodbury and pseudo-determinant matrix identities and application to Gaussian process regression

Applied Mathematics and Computation

Siavash Ameli

Shawn C Shadden

2023/9/1

An integrative experimental and computational twin modeling approach to understand clonal dynamics in the normal liver

Journal of Hepatology

Dirk Drasdo

Jieling Zhao

2023/8/1

Mathematical modeling of blood flow to evaluate hemodynamic significance of peripheral vascular legions

2023/6/22

Learning diffeomorphic deformations for whole heart mesh generation

Summer Biomechanics, Bioengineering and Biotransport Conference

Arjun Narayanan

Fanwei Kong

Shawn C Shadden

2023/1

Noise estimation in Gaussian process regression

arXiv preprint arXiv:2206.09976

Siavash Ameli

Shawn C Shadden

2022/6/20

Interpolating log-determinant and trace of the powers of matrix

Statistics and Computing

Siavash Ameli

Shawn C Shadden

2022/12

Machine learning for cardiovascular biomechanics modeling: challenges and beyond

Amirhossein Arzani

Jian-Xun Wang

Michael S Sacks

Shawn C Shadden

2022/6

Learning whole heart mesh generation from patient images for computational simulations

IEEE Transactions on Medical Imaging

Fanwei Kong

Shawn C Shadden

2022/11/3

svFSI: a multiphysics package for integrated cardiac modeling

Journal of Open Source Software

Chi Zhu

Vijay Vedula

Dave Parker

Nathan Wilson

Shawn Shadden

...

2022/10/10

Reduced order model for computing blood flow dynamics

2022/7/28

Distributed lumped parameter modeling of blood flow in compliant vessels

Journal of Biomechanics

Mehran Mirramezani

Shawn C Shadden

2022/7/1

Quantifying the effects of intraluminal thrombi and their poroelastic properties on abdominal aortic aneurysms

Archive of Applied Mechanics

Martina Bukač

Shawn C Shadden

2021

Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge

IEEE Transactions on Medical Imaging

Victor M Campello

Polyxeni Gkontra

Cristian Izquierdo

Carlos Martin-Isla

Alireza Sojoudi

...

2021/6/17

A generalizable deep-learning approach for cardiac magnetic resonance image segmentation using image augmentation and attention U-Net

Fanwei Kong

Shawn C Shadden

2021

A whole lung in silico model to estimate age dependent particle dosimetry

Scientific reports

Kamran Poorbahrami

Irene E Vignon-Clementel

Shawn C Shadden

Jessica M Oakes

2021/5/27

Computational investigation of blood flow and flow-mediated transport in arterial thrombus neighborhood

Biomechanics and Modeling in Mechanobiology

Chayut Teeraratkul

Zachariah Irwin

Shawn C Shadden

Debanjan Mukherjee

2021/1/12

A deep-learning approach for direct whole-heart mesh reconstruction.

Medical Image Analysis

Fanwei Kong

Shawn C Wilson

Nathan Shadden

2021/9/8

Impact of BASILICA on the thrombogenicity potential of valve-in-valve implantations

Journal of Biomechanics

Romina Plitman Mayo

Halit Yaakobovich

Ariel Finkelstein

Shawn C Shadden

Gil Marom

2021/3/30

See List of Professors in Shawn C. Shadden University(University of California, Berkeley)