Biological Fluid Dynamics: Data-driven Hemodynamics

Presentations

• Fast surrogate of 3-D patient-specific computational fluid dynamics using statistical shape modeling and deep Learning

  ORAL

  Nov. 22, 2021, 8:00 AM – Nov. 22, 2021, 8:13 AM

  Presenters

  • Pan Du

    • University of Notre Dame

  Authors

  • Pan Du

    • University of Notre Dame

  • Xiaozhi Zhu

    • University of Notre Dame

  • Jian-Xun Wang

    • University of Notre Dame

  View abstract →

• Inferring the left atrial appendage (LAA) hemodynamics from 4D CT contrast dynamics: reduced order models (ROMs) and physics informed neural networks (PINNs).

  ORAL

  Nov. 22, 2021, 8:13 AM – Nov. 22, 2021, 8:26 AM

  Presenters

  • Bahetihazi Maidu

    • UC San Diego
    • University of California, San Diego

  Authors

  • Bahetihazi Maidu

    • UC San Diego
    • University of California, San Diego

  • Alejandro Gonzalo

    • UC San Diego & University of Washington
    • University of California San Diego

  • Lorenzo Rossini

    • UC San Diego

  • Davis Vigneault

    • UC San Diego
    • Department of Radiology, Stanford University, Stanford, CA, 94305, USA

  • Pablo Martinez-Legazpi

    • Universidad Nacional de Educación a Distancia
    • Gregorio Marañon Hospital, Spain
    • Dpt. Física Matemática y Fluidos. UNED

  • Javier Bermejo

    • Hospital G.U. Gregorio Marañón
    • Gregorio Marañon Hospital, Spain
    • Hospital General Universitario Gregorio Marañon
    • Hospital General Universitario Gregorio Marañón
    • Hospital Gregorio Maranon, Madrid, Spain

  • Oscar Flores

    • Univ. Carlos III De Madrid
    • Univ Carlos III De Madrid
    • Univ. Carlos III de Madrid

  • Manuel Garcia-Villalba

    • Univ Carlos III De Madrid
    • Univ. Carlos III de Madrid

  • Elliot McVeigh

    • UC San Diego
    • University of California San Diego

  • Andrew M Kahn

    • University of California San Diego
    • UC San Diego
    • University of California, San Diego

  • Juan Carlos del Alamo

    • University of Washington; University of California San Diego
    • UC San Diego & University of Washington
    • University of Washington
    • University of Washington & University of California, San Diego

  View abstract →

• A Machine Learning Methodology for estimation of vascular characteristics using a single carotid waveform

  ORAL

  Nov. 22, 2021, 8:26 AM – Nov. 22, 2021, 8:39 AM

  Presenters

  • Soha Niroumandi

    • Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA, USA
    • University of Southern California

  Authors

  • Soha Niroumandi

    • Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA, USA
    • University of Southern California

  • Rashid Alavi

    • Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA, USA
    • University of Southern California

  • Niema M Pahlevan

    • University of Southern California
    • Univ of Southern California
    • Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA, USA

  View abstract →

• Towards resolving hemodynamic velocities from time-resolved contrast-enhanced magnetic resonance angiography using physics-informed machine learning

  ORAL

  Nov. 22, 2021, 8:39 AM – Nov. 22, 2021, 8:52 AM

  Presenters

  • Roshan M D'Souza

    • University of Wisconsin - Milwaukee

  Authors

  • Roshan M D'Souza

    • University of Wisconsin - Milwaukee

  • Amirhossein Arzani

    • Department of Mechanical Engineering, Northern Arizona University
    • Northern Arizona University

  • Isaac Perez-Raya

    • Rochester Institute of Technology

  • Amin Pashaei

    • University of Wisconsin Milwaukee

  View abstract →

• Data-driven near-wall blood flow and wall shear stress modeling with physics-informed neural networks

  ORAL

  Nov. 22, 2021, 8:52 AM – Nov. 22, 2021, 9:05 AM

  Presenters

  • Amirhossein Arzani

    • Department of Mechanical Engineering, Northern Arizona University
    • Northern Arizona University

  Authors

  • Amirhossein Arzani

    • Department of Mechanical Engineering, Northern Arizona University
    • Northern Arizona University

  • Jian-Xun Wang

    • University of Notre Dame

  • Roshan M D'Souza

    • University of Wisconsin - Milwaukee

  View abstract →

• Brain Hemodynamic Predictions from Noninvasive Transcranial Doppler Ultrasound and Angiography Data Using Physics-Informed Neural Networks

  ORAL

  Nov. 22, 2021, 9:05 AM – Nov. 22, 2021, 9:18 AM

  Publication: Sarabian, M., Babaee, B., & Laksari, K. (2020). Brain haemodynamic predictions from non‑invasive Transcranial Doppler Ultrasound data using physics‑informed neural networks. Manuscript submitted

  Presenters

  • Mohammad Sarabian

    • University of Arizona

  Authors

  • Mohammad Sarabian

    • University of Arizona

  • Hessam Babaee

    • University of Pittsburgh

  • Kaveh Laksari

    • University of Arizona

  View abstract →

• Improving the Diagnostic Accuracy of Cardiac Auscultation using Supervised Learning: a Computational Hemoacoustic Study

  ORAL

  Nov. 22, 2021, 9:18 AM – Nov. 22, 2021, 9:31 AM

  Publication: Bailoor S, Seo JH, Schena S and Mittal R. "Detecting Aortic Valve Anomaly from Induced Murmurs: Insights from Computational Hemodynamic Models". Frontiers in Physiology (under review)

  Presenters

  • Shantanu Bailoor

    • Johns Hopkins University

  Authors

  • Shantanu Bailoor

    • Johns Hopkins University

  • Jung-Hee Seo

    • Johns Hopkins University
    • Johns Hopkins Univ

  • Stefano Schena

    • Johns Hopkins Medical Institute

  • Rajat Mittal

    • Johns Hopkins University

  View abstract →

• Analyzing Patient-Specific Coronary Arteries with and without Stents using Proper Orthogonal Decomposition

  ORAL

  Nov. 22, 2021, 9:31 AM – Nov. 22, 2021, 9:44 AM

  Presenters

  • Daniela Caraeni

    • University of Massachusetts Amherst

  Authors

  • Daniela Caraeni

    • University of Massachusetts Amherst

  • Amir Lotfi

    • Baystate Medical Center

  • Yahya Modarres-Sadeghi

    • University of Massachusetts Amherst

  View abstract →

• All-in-one, physics-informed dealiasing method to regularize cardiac 4D flow MRI data.

  ORAL

  Nov. 22, 2021, 9:44 AM – Nov. 22, 2021, 9:57 AM

  Presenters

  • Christian Chazo Paz

    • Hospital G.U. Gregorio Marañón; Univ. Carlos III de Madrid

  Authors

  • Christian Chazo Paz

    • Hospital G.U. Gregorio Marañón; Univ. Carlos III de Madrid

  • Oscar Flores

    • Univ. Carlos III De Madrid
    • Univ Carlos III De Madrid
    • Univ. Carlos III de Madrid

  • Pablo Martinez-Legazpi

    • Universidad Nacional de Educación a Distancia
    • Gregorio Marañon Hospital, Spain
    • Dpt. Física Matemática y Fluidos. UNED

  • Cathleen M Nguyen

    • University of Washington; University of California San Diego
    • University of Washington & University of California, San Diego

  • Cristina Santa Marta

    • Universidad Nacional de Educación a Distancia

  • Andrew M Kahn

    • University of California San Diego
    • UC San Diego
    • University of California, San Diego

  • Javier Bermejo

    • Hospital G.U. Gregorio Marañón
    • Gregorio Marañon Hospital, Spain
    • Hospital General Universitario Gregorio Marañon
    • Hospital General Universitario Gregorio Marañón
    • Hospital Gregorio Maranon, Madrid, Spain

  • Juan Carlos del Alamo

    • University of Washington; University of California San Diego
    • UC San Diego & University of Washington
    • University of Washington
    • University of Washington & University of California, San Diego

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• Super-resolution study of aneurism based on AI PIV - preliminary report

  ORAL

  Nov. 22, 2021, 9:57 AM – Nov. 22, 2021, 10:10 AM

  Presenters

  • Wojciech Majewski

  Authors

  • Wojciech Majewski

  • Wojciech Kaspera

    • Medical University of Silesia, Sosnowiec, Poland

  • Marek Ples

    • Silesian University of Technology, Gliwice, Poland

  • Marta Sobkowiak-Pilorz

    • Silesian University of Technology, Gliwice, Poland

  • Runjie Wei

    • Microvec Pte Ltd, Singapore

  • Wojciech Wolański

    • Silesian University of Technology, Gliwice, Poland

  View abstract →