Julian Suk

According to our database, Julian Suk authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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., January, 2024

LaB-GATr: geometric algebra transformers for large biomedical surface and volume meshes.

Julian Suk, Baris Imre, Jelmer M. Wolterink

CoRR, 2024

2023

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

CoRR, 2023

SE(3) Symmetry Lets Graph Neural Networks Learn Arterial Velocity Estimation from Small Datasets.

Julian Suk, Christoph Brune, Jelmer M. Wolterink

Proceedings of the Functional Imaging and Modeling of the Heart, 2023

2022

Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall.

Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink

CoRR, 2022

Implicit Neural Representations for Generative Modeling of Living Cell Shapes.

David Wiesner, Julian Suk, Sven Dummer, David Svoboda, Jelmer M. Wolterink

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Mesh Convolutional Neural Networks for Wall Shear Stress Estimation in 3D Artery Models.

Julian Suk, Pim de Haan, Phillip Lippe, Christoph Brune, Jelmer M. Wolterink

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge, 2021

2019

Practicable Simulation-Free Model Order Reduction by Nonlinear Moment Matching.

Maria Cruz Varona, Raphael Gebhart, Julian Suk, Boris Lohmann

CoRR, 2019