Julian Suk
Scholar

Julian Suk

Google Scholar ID: Y9-58ZwAAAAJ
Postdoc, Technical University of Munich (TUM)
Deep Learning
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Citations & Impact
All-time
Citations
204
 
H-index
9
 
i10-index
8
 
Publications
20
 
Co-authors
17
list available
Contact
No contact links provided.
Publications
6 items
GReAT: leveraging geometric artery data to improve wall shear stress assessment
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
17 total
Jelmer M. Wolterink
Jelmer M. Wolterink
Associate Professor, University of Twente
Christoph Brune
Christoph Brune
Applied Mathematics, University of Twente
Pim de Haan
Pim de Haan
CuspAI
Phillip Lippe
Phillip Lippe
Google DeepMind
Patryk Rygiel
Patryk Rygiel
PhD candidate, University of Twente
Co-author 6
Co-author 6
Dieuwertje Alblas
Dieuwertje Alblas
PhD candidate University of Twente
Sven Dummer
Sven Dummer
Postdoc, University of Twente