Scholar
Patryk Rygiel
Google Scholar ID: 9OizHmQAAAAJ
PhD candidate, University of Twente
Deep Learning
Geometric Deep Learning
Medical Image Analysis
Hemodynamics
Follow
Google Scholar
↗
Citations & Impact
All-time
Citations
51
H-index
5
i10-index
1
Publications
19
Co-authors
5
list available
Publications
8 items
Symmetry in the Wild: The Role of Equivariance in Neural Fluid Surrogates
2026
Cited
0
GReAT: leveraging geometric artery data to improve wall shear stress assessment
2025
Cited
0
Beyond Pixels: Medical Image Quality Assessment with Implicit Neural Representations
2025
Cited
0
Wall Shear Stress Estimation in Abdominal Aortic Aneurysms: Towards Generalisable Neural Surrogate Models
2025
Cited
0
Geometric deep learning for local growth prediction on abdominal aortic aneurysm surfaces
2025
Cited
0
Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation
2025
Cited
0
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models
2025
Cited
0
Deep vectorised operators for pulsatile hemodynamics estimation in coronary arteries from a steady-state prior
Comput. Methods Programs Biomed. · 2024
Cited
3
Co-authors
4 total
Jelmer M. Wolterink
Associate Professor, University of Twente
Julian Suk
Postdoc, Technical University of Munich (TUM)
Maciej Zieba
Wroclaw University of Science and Technology, Tooploox
Dieuwertje Alblas
PhD candidate University of Twente
