Cardiovascular Flows: Methods
ORAL · Q06 · ID: 676991
Presentations
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Molecular Tagging Velocimetry (MTV) to Measure Wall Shear Stress in Model Cardiovascular Flows
ORAL
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Presenters
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Kartik V Bulusu
- George Washington Univ
- George Washington University
Authors
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Kartik V Bulusu
- George Washington Univ
- George Washington University
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Charles Fort
- George Washington University
- The George Washington University
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Anton Yanovich
- George Washington University
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Philippe M Bardet
- George Washington University
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Michael W Plesniak
- George Washington University
- The George Washington University
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Quantifying particle residence time and blood damage using time-resolved 3D particle tracking
ORAL
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Presenters
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Huang Chen
- Georgia Institute of Technology
Authors
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Huang Chen
- Georgia Institute of Technology
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Roya Kamali
- Georgia Institute of Technology
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Satheesh Kumar Harikrishnan
- Georgia Institute of Technology
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Thangam Natarajan
- Georgia Institute of Technology
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Lakshmi P Dasi
- Georgia Institute of Technology
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Reducing the computational burden of coagulation cascade models in cardiovascular simulations
ORAL
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Presenters
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Manuel Guerrero-Hurtado
- Univ Carlos III De Madrid
- Univ. Carlos III de Madrid
Authors
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Manuel Guerrero-Hurtado
- Univ Carlos III De Madrid
- Univ. Carlos III de Madrid
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Manuel Garcia-Villalba
- Univ Carlos III De Madrid
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Alejandro Gonzalo
- University of Washington
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Clarissa Bargellini
- University of Washington
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Pablo Martínez-Legazpi
- Gregorio Marañon Hospital, Spain
- UNED
- Hospital Gregorio Maranon, Madrid, Spain
- Dpt. Física Matemática y Fluidos, UNED
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Andrew M Kahn
- UC San Diego
- University of California, San Diego
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Javier Bermejo
- Gregorio Marañon Hospital, Spain
- Hospital General Universitario Gregorio Marañón
- Hospital Gregorio Maranon, Madrid, Spain
- Hospital General Universitario Gregorio Marañon
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Juan Carlos del Alamo
- University of Washington
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Oscar Flores
- Univ Carlos III de Madrid
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Vascular velocity reconstruction using Color Doppler flow field velocity
ORAL
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Presenters
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Reza Babakhani Galangashi
- Purdue University
Authors
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Reza Babakhani Galangashi
- Purdue University
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Brett A. A Meyers
- Purdue University
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Sayantan Bhattacharya
- Purdue University
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Javad Eshraghi
- PURDUE UNIVERSITY
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Pavlos P Vlachos
- Purdue University
- Purdue
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Geometric Deep Neural Differentiable Modeling for Efficient 3-D Patient-Specific Aortic Flow Simulations
ORAL
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Presenters
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Pan Du
- University of Notre Dame
Authors
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Pan Du
- University of Notre Dame
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Jian-Xun Wang
- University of Notre Dame
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A scalable Euler-Lagrange strategy for particle-laden anatomical flows in subject-specific geometries
ORAL
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Presenters
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Abhilash Reddy Malipeddi
- University of Michigan
Authors
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Abhilash Reddy Malipeddi
- University of Michigan
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C. Alberto Figueroa
- University of Michigan
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Jesse Capecelatro
- University of Michigan
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Blood flow predictions in data-poor regimes: A physics-informed Bayesian approach
ORAL
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Presenters
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Shaghayegh Zamani Ashtiani
- University of Pittsburgh
Authors
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Shaghayegh Zamani Ashtiani
- University of Pittsburgh
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Mohammad Sarabian
- OriGen.ai, Inc
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Kaveh Laksari
- The University of Arizona
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Hessam Babaee
- University of Pittsburgh
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Bayesian Intraventricular Vector Flow Mapping (BVFM)
ORAL
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Presenters
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Cathleen M Nguyen
- University of Washington
Authors
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Cathleen M Nguyen
- University of Washington
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Bahetihazi Maidu
- UC San Diego
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Darrin J Wong
- UC San Diego
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Sachiyo Igata
- UC San Diego
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Christian Chazo Paz
- Hospital Gregorio Maranon, Madrid, Spain
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Pablo Martínez-Legazpi
- Gregorio Marañon Hospital, Spain
- UNED
- Hospital Gregorio Maranon, Madrid, Spain
- Dpt. Física Matemática y Fluidos, UNED
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Javier Bermejo
- Gregorio Marañon Hospital, Spain
- Hospital General Universitario Gregorio Marañón
- Hospital Gregorio Maranon, Madrid, Spain
- Hospital General Universitario Gregorio Marañon
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Andrew M Kahn
- UC San Diego
- University of California, San Diego
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Anthony DeMaria
- UC San Diego
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Juan Carlos del Alamo
- University of Washington
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Machine learning for predicting microvascular network hemodynamics
ORAL
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Publication: S. Ebrahimi & P. Bagchi. 2022. "Application of Machine Learning in Predicting Blood Flow and Red Cell Distribution in Capillary Vessel Networks". Royal Society Interface. under review.
Presenters
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Saman Ebrahimi
- Rutgers University
Authors
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Saman Ebrahimi
- Rutgers University
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Prosenjit Bagchi
- Rutgers University
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