Original Research

Published on 20 Jul 2021

Hemodynamic Characteristics of Patients With Suspected Coronary Heart Disease at Their Initial Visit

in Computational Physiology and Medicine

Haoyao Cao
Yiming Li
Yiming Zhao
Tianyuan Xiong
Zhan Liu
Tinghui Zheng
Mao Chen

Frontiers in Physiology

doi 10.3389/fphys.2021.714438

3,539 views
6 citations

Original Research

Published on 19 Jul 2021

Discrete Dynamic Model of the Mammalian Sperm Acrosome Reaction: The Influence of Acrosomal pH and Physiological Heterogeneity

in Computational Physiology and Medicine

Andrés Aldana
Jorge Carneiro
Gustavo Martínez-Mekler
Alberto Darszon

Frontiers in Physiology

doi 10.3389/fphys.2021.682790

8,272 views
19 citations

Original Research

Published on 16 Jul 2021

Bayesian Physics-Based Modeling of Tau Propagation in Alzheimer's Disease

in Computational Physiology and Medicine

Amelie Schäfer
Mathias Peirlinck
Kevin Linka
Ellen Kuhl
The Alzheimer's Disease Neuroimaging Initiative (ADNI)

Frontiers in Physiology

doi 10.3389/fphys.2021.702975

5,683 views
21 citations

Original Research

Published on 14 Jul 2021

Comparison Between 5- and 1-Year Outcomes Using Cutoff Values of Pressure Drop Coefficient and Fractional Flow Reserve for Diagnosing Coronary Artery Diseases

in Computational Physiology and Medicine

Rupak K. Banerjee
Sruthi Ramadurai
Shreyash M. Manegaonkar
Marepalli B. Rao
Sathyaprabha Rakkimuthu
Mohamed A. Effat

Frontiers in Physiology

doi 10.3389/fphys.2021.689517

2,060 views
1 citation

Original Research

Published on 14 Jul 2021

Characterization of the Electrophysiologic Remodeling of Patients With Ischemic Cardiomyopathy by Clinical Measurements and Computer Simulations Coupled With Machine Learning

in Computational Physiology and Medicine

Konstantinos N. Aronis
Adityo Prakosa
Teya Bergamaschi
Ronald D. Berger
Patrick M. Boyle
Jonathan Chrispin
Suyeon Ju
Joseph E. Marine
Sunil Sinha
Harikrishna Tandri

Frontiers in Physiology

doi 10.3389/fphys.2021.684149

3,140 views
12 citations

Original Research

Published on 05 Jul 2021

Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid in silico and in vivo Dataset

in Computational Physiology and Medicine

Jorge Sánchez
Giorgio Luongo
Mark Nothstein
Laura A. Unger
Javier Saiz
Beatriz Trenor
Armin Luik
Olaf Dössel
Axel Loewe

Frontiers in Physiology

doi 10.3389/fphys.2021.699291

3,531 views
17 citations

Original Research

Published on 05 Jul 2021

HADLN: Hybrid Attention-Based Deep Learning Network for Automated Arrhythmia Classification

in Computational Physiology and Medicine

Mingfeng Jiang
Jiayan Gu
Yang Li
Bo Wei
Jucheng Zhang
Zhikang Wang
Ling Xia

Frontiers in Physiology

doi 10.3389/fphys.2021.683025

4,418 views
17 citations

Original Research

Published on 01 Jul 2021

Automated Localization of Focal Ventricular Tachycardia From Simulated Implanted Device Electrograms: A Combined Physics–AI Approach

in Computational Physiology and Medicine

Sofia Monaci
Karli Gillette
Esther Puyol-Antón
Ronak Rajani
Gernot Plank
Andrew King
Martin Bishop

Frontiers in Physiology

doi 10.3389/fphys.2021.682446

3,929 views
13 citations

Original Research

Published on 01 Jul 2021

Predictive Modeling of Secondary Pulmonary Hypertension in Left Ventricular Diastolic Dysfunction

in Computational Physiology and Medicine

Karlyn K. Harrod
Jeffrey L. Rogers
Jeffrey A. Feinstein
Alison L. Marsden
Daniele E. Schiavazzi

Frontiers in Physiology

doi 10.3389/fphys.2021.666915

3,532 views
13 citations

Original Research

Published on 28 Jun 2021

Deep Learning Framework for Real-Time Estimation of in-silico Thrombotic Risk Indices in the Left Atrial Appendage

in Computational Physiology and Medicine

Xabier Morales Ferez
Jordi Mill
Kristine Aavild Juhl
Cesar Acebes
Xavier Iriart
Benoit Legghe
Hubert Cochet
Ole De Backer
Rasmus R. Paulsen
Oscar Camara

Frontiers in Physiology

doi 10.3389/fphys.2021.694945

7,468 views
38 citations

Original Research

Published on 25 Jun 2021

Modeling NO Biotransport in Brain Using a Space-Fractional Reaction-Diffusion Equation

in Computational Physiology and Medicine

Andrew Tamis
Corina S. Drapaca

Frontiers in Physiology

doi 10.3389/fphys.2021.644149

1,923 views
3 citations

Original Research

Published on 24 Jun 2021

Pharmacokinetic Modeling of Morphine’s Effect on Plasma Concentrations of Ticagrelor and Its Metabolite in Healthy Volunteers

in Computational Physiology and Medicine

Katarzyna Buszko
Krystian Kubica
Eva-Luise Hobl
Piotr Adamski
Kacper Wnuk
Bernd Jilma
Jacek Kubica

Frontiers in Physiology

doi 10.3389/fphys.2021.663170

2,179 views
5 citations

Original Research

Published on 24 Jun 2021

Deep Learning Approaches to Surrogates for Solving the Diffusion Equation for Mechanistic Real-World Simulations

in Computational Physiology and Medicine

J. Quetzalcóatl Toledo-Marín
Geoffrey Fox
James P. Sluka
James A. Glazier

Frontiers in Physiology

doi 10.3389/fphys.2021.667828

5,278 views
1 citation

Original Research

Published on 24 Jun 2021

The Comparison of Different Constitutive Laws and Fiber Architectures for the Aortic Valve on Fluid–Structure Interaction Simulation

in Computational Physiology and Medicine

Li Cai
Ruihang Zhang
Yiqiang Li
Guangyu Zhu
Xingshuang Ma
Yongheng Wang
Xiaoyu Luo
Hao Gao

Frontiers in Physiology

doi 10.3389/fphys.2021.682893

3,078 views
8 citations

Methods

Published on 24 Jun 2021

The SPARC DRC: Building a Resource for the Autonomic Nervous System Community

in Computational Physiology and Medicine

Mahyar Osanlouy
Anita Bandrowski
Bernard de Bono
David Brooks
Antonino M. Cassarà
Richard Christie
Nazanin Ebrahimi
Tom Gillespie
Jeffrey S. Grethe
Leonardo A. Guercio

Frontiers in Physiology

doi 10.3389/fphys.2021.693735

5,785 views
39 citations

Perspective

Published on 24 Jun 2021

Application of Machine Learning in Pulmonary Function Assessment Where Are We Now and Where Are We Going?

in Computational Physiology and Medicine

Paresh C. Giri
Anand M. Chowdhury
Armando Bedoya
Hengji Chen
Hyun Suk Lee
Patty Lee
Craig Henriquez
Neil R. MacIntyre
Yuh-Chin T. Huang

Frontiers in Physiology

doi 10.3389/fphys.2021.678540

7,401 views
15 citations

Navigation group

Articles

Hemodynamic Characteristics of Patients With Suspected Coronary Heart Disease at Their Initial Visit

Discrete Dynamic Model of the Mammalian Sperm Acrosome Reaction: The Influence of Acrosomal pH and Physiological Heterogeneity

Bayesian Physics-Based Modeling of Tau Propagation in Alzheimer's Disease

Comparison Between 5- and 1-Year Outcomes Using Cutoff Values of Pressure Drop Coefficient and Fractional Flow Reserve for Diagnosing Coronary Artery Diseases

Characterization of the Electrophysiologic Remodeling of Patients With Ischemic Cardiomyopathy by Clinical Measurements and Computer Simulations Coupled With Machine Learning

Using Machine Learning to Characterize Atrial Fibrotic Substrate From Intracardiac Signals With a Hybrid in silico and in vivo Dataset

HADLN: Hybrid Attention-Based Deep Learning Network for Automated Arrhythmia Classification

Automated Localization of Focal Ventricular Tachycardia From Simulated Implanted Device Electrograms: A Combined Physics–AI Approach

Predictive Modeling of Secondary Pulmonary Hypertension in Left Ventricular Diastolic Dysfunction

Deep Learning Framework for Real-Time Estimation of in-silico Thrombotic Risk Indices in the Left Atrial Appendage

Modeling NO Biotransport in Brain Using a Space-Fractional Reaction-Diffusion Equation

Pharmacokinetic Modeling of Morphine’s Effect on Plasma Concentrations of Ticagrelor and Its Metabolite in Healthy Volunteers

Deep Learning Approaches to Surrogates for Solving the Diffusion Equation for Mechanistic Real-World Simulations

The Comparison of Different Constitutive Laws and Fiber Architectures for the Aortic Valve on Fluid–Structure Interaction Simulation

The SPARC DRC: Building a Resource for the Autonomic Nervous System Community

Application of Machine Learning in Pulmonary Function Assessment Where Are We Now and Where Are We Going?