Patryk Rygiel
Scholar

Patryk Rygiel

Google Scholar ID: 9OizHmQAAAAJ
PhD candidate, University of Twente
Deep LearningGeometric Deep LearningMedical Image AnalysisHemodynamics
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Citations & Impact
All-time
Citations
51
 
H-index
5
 
i10-index
1
 
Publications
19
 
Co-authors
5
list available
Contact
No contact links provided.
Publications
7 items
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
Resume (English only)
Co-authors
5 total
Jelmer M. Wolterink
Jelmer M. Wolterink
Associate Professor, University of Twente
Julian Suk
Julian Suk
Postdoc, Technical University of Munich (TUM)
Co-author 3
Co-author 3
Maciej Zieba
Maciej Zieba
Wroclaw University of Science and Technology, Tooploox
Dieuwertje Alblas
Dieuwertje Alblas
PhD candidate University of Twente