Julian Suk

Postdoc, Technical University of Munich

Joined

September 2022

Names

Julian Suk (Preferred)

Emails

****@utwente.nl (Confirmed)

****@gmx.de (Confirmed)

****@tum.de (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Postdoc

Technical University of Munich (tum.de)

2025 – Present

Intern

Qualcomm Inc, QualComm (qti.qualcomm.com)

2024 – 2025

PhD student

University of Twente (utwente.nl)

2020 – 2024

Advisors, Relations & Conflicts

PhD Advisor

Jelmer M. Wolterink

Present

Coauthor

Pim De Haan

Present

Coauthor

Gabriele Cesa

Present

Coauthor

Thomas Hehn

Present

Coauthor

Arash Behboodi

Present

Postdoc Advisor

Daniel Rueckert

Present

Social

Chase van de Geijn

Present

Social

Pierrick Leroy

Present

Social

Johanna Marie Gegenfurtner

Present

Social

Stas Syrota

Present

Expertise

neural operators

transformers

2024 – 2025

geometric deep learning

computational fluid dynamics

2020 – 2024

Publications

TopoBench: A Framework for Benchmarking Topological Deep Learning
Lev Telyatnikov, Guillermo Bernardez, Marco Montagna, Mustafa Hajij, Martin Carrasco, Pavlo Vasylenko, Mathilde Papillon, Ghada Zamzmi, Michael T Schaub, Jonas Verhellen, Pavel Snopov, Bertran Miquel-Oliver, Manel Gil-Sorribes, Alexis Molina, VICTOR GUALLAR, Theodore Long, Julian Suk, Patryk Rygiel, Alexander V Nikitin, Giordan Escalona et al. (17 additional authors not shown)
- Accepted by DMLR
- Readers: Everyone
Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation
Patryk Rygiel, Julian Suk, Kak Khee Yeung, Christoph Brune, Jelmer M. Wolterink
- CoRR 2025
- Readers: Everyone
ViNE-GATr: scaling geometric algebra transformers with virtual nodes embeddings
Julian Suk, Thomas Hehn, Arash Behboodi, Gabriele Cesa
- ICLR 2025 Workshop MLMP Poster
- Readers: Everyone
SIRE: Scale-invariant, rotation-equivariant estimation of artery orientations using graph neural networks
Dieuwertje Alblas, Julian Suk, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink
- Medical Image Anal. 2025
- Readers: Everyone
Learning Hemodynamic Scalar Fields on Coronary Artery Meshes: A Benchmark of Geometric Deep Learning Models
Guido Nannini, Julian Suk, Patryk Rygiel, Simone Saitta, Luca Mariani, Riccardo Maragna, Andrea Baggiano, Gianluca Pontone, Jelmer M. Wolterink, Alberto Redaelli
- CoRR 2025
- Readers: Everyone
Geometric algebra transformers for large 3D meshes via cross-attention
Julian Suk, Pim De Haan, Baris Imre, Jelmer M. Wolterink
- ICML 2024 Workshop GRaM
- Readers: Everyone
Exploiting Scale Invariance and Rotation Equivariance for Sparse and Dense Artery Orientation Estimation
Dieuwertje Alblas, Iris Vos, Julian Suk, Christoph Brune, Kak Khee Yeung, Birgitta Velthuis, Hugo Kuijf, Ynte Ruigrok, Jelmer M. Wolterink
- MIDL 2024 Short Papers
- Readers: Everyone
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain
Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate et al. (53 additional authors not shown)
- CoRR 2024
- Readers: Everyone
Generative modeling of living cells with SO(3)-equivariant implicit neural representations
David Wiesner, Julian Suk, Sven Dummer, Tereza Necasová, Vladimír Ulman, David Svoboda, Jelmer M. Wolterink
- Medical Image Anal. 2024
- Readers: Everyone
LaB-GATr: Geometric Algebra Transformers for Large Biomedical Surface and Volume Meshes
Julian Suk, Baris Imre, Jelmer M. Wolterink
- MICCAI (12) 2024
- Readers: Everyone

View all 26 publications

Co-Authors

View all 117 co-authors