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Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep
  Learning Model

Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model

Information Processing in Medical Imaging (IPMI), 2023
13 February 2023
Noah Maul
Katharina Zinn
Fabian Wagner
Mareike Thies
M. Rohleder
Laura Pfaff
M. Kowarschik
A. Birkhold
Andreas Maier
ArXiv (abs)PDFHTML

Papers citing "Transient Hemodynamics Prediction Using an Efficient Octree-Based Deep Learning Model"

4 / 4 papers shown
Title
GReAT: leveraging geometric artery data to improve wall shear stress assessment
GReAT: leveraging geometric artery data to improve wall shear stress assessment
Julian Suk
Jolanda J. Wentzel
Patryk Rygiel
Joost Daemen
Daniel Rueckert
J. Wolterink
64
0
0
26 Aug 2025
Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior
Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior
Julian Suk
Guido Nannini
Patryk Rygiel
Christoph Brune
Gianluca Pontone
Alberto Redaelli
J. Wolterink
193
3
0
15 Oct 2024
Physics-informed graph neural networks for flow field estimation in
  carotid arteries
Physics-informed graph neural networks for flow field estimation in carotid arteries
Julian Suk
Dieuwertje Alblas
B A Hutten
A. Wiegman
Christoph Brune
P. Ooij
J. Wolterink
AI4CE
131
4
0
13 Aug 2024
Physics-Informed Learning for Time-Resolved Angiographic Contrast Agent
  Concentration Reconstruction
Physics-Informed Learning for Time-Resolved Angiographic Contrast Agent Concentration Reconstruction
Noah Maul
A. Birkhold
Fabian Wagner
Mareike Thies
M. Rohleder
Philipp Berg
M. Kowarschik
Andreas Maier
117
3
0
04 Mar 2024
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