Improving generalizability and data efficiency for MHC-I binding peptide predictions through structure-based geometric deep learning L Xue, D Marzella, G Crocioni, T Radusinović, D Lepikhov, H Severin, ... | | 2024 |
Equivariant Neural Fields For Symmetry Preserving Continous PDE Forecasting DM Knigge, D Wessels, R Valperga, S Papa, S Gavves, EJ Bekkers ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024 | | 2024 |
Generating Cerebral Vessel Trees of Acute Ischemic Stroke Patients using Conditional Set-Diffusion TP Kuipers, PR Konduri, H Marquering, EJ Bekkers Medical Imaging with Deep Learning, 2024 | | 2024 |
Uncertainty-aware retinal layer segmentation in OCT through probabilistic signed distance functions MM Islam, C de Vente, B Liefers, C Klaver, EJ Bekkers, CI Sánchez Medical Imaging with Deep Learning, 2024 | | 2024 |
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields MM Kofinas, E Bekkers, N Nagaraja, E Gavves Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
Dynamic prediction of malignant ventricular arrhythmias using neural networks in patients with an implantable cardioverter-defibrillator MZH Kolk, S Ruipérez-Campillo, L Alvarez-Florez, B Deb, EJ Bekkers, ... Ebiomedicine 99, 2024 | 1 | 2024 |
Improving generalizability for MHC-I binding peptide predictions through geometric deep learning DF Marzella, G Crocioni, T Radusinović, D Lepikhov, H Severin, DL Bodor, ... bioRxiv, 2023.12. 04.569776, 2023 | | 2023 |
Visual Scene Representation with Hierarchical Equivariant Sparse Coding CA Shewmake, D Buracas, H Lillemark, J Shin, EJ Bekkers, N Miolane, ... NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations, 2023 | | 2023 |
Fast, Expressive Equivariant Networks through Weight-Sharing in Position-Orientation Space EJ Bekkers, S Vadgama, R Hesselink, PA Van der Linden, DW Romero The Twelfth International Conference on Learning Representations, 2023 | 3* | 2023 |
Modeling Barrett’s Esophagus Progression Using Geometric Variational Autoencoders V van Veldhuizen, S Vadgama, O de Boer, S Meijer, EJ Bekkers MICCAI Workshop on Cancer Prevention through Early Detection, 132-142, 2023 | | 2023 |
Regular SE (3) Group Convolutions for Volumetric Medical Image Analysis TP Kuipers, EJ Bekkers International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
On genuine invariance learning without weight-tying A Moskalev, A Sepliarskaia, EJ Bekkers, AWM Smeulders Topological, Algebraic and Geometric Learning Workshops 2023, 218-227, 2023 | 1 | 2023 |
Can strong structural encoding reduce the importance of Message Passing? F Eijkelboom, EJ Bekkers, MM Bronstein, F Di Giovanni Topological, Algebraic and Geometric Learning Workshops 2023, 278-288, 2023 | | 2023 |
Optimising Patient Selection for Primary Prevention ICD Implantation: Utilising Multimodal Machine Learning to Assess Risk of ICD Non-Benefit. MZH Kolk, S Ruipérez-Campillo, B Deb, E Bekkers, CP Allaart, AJ Rogers, ... Europace: European Pacing, Arrhythmias, and Cardiac Electrophysiology …, 2023 | 2* | 2023 |
Continuous Kendall Shape Variational Autoencoders S Vadgama, JM Tomczak, E Bekkers International Conference on Geometric Science of Information, 73-81, 2023 | | 2023 |
Learned Gridification for Efficient Point Cloud Processing PA Van der Linden, DW Romero, EJ Bekkers arXiv preprint arXiv:2307.14354, 2023 | | 2023 |
Artificial intelligence for science in quantum, atomistic, and continuum systems X Zhang, L Wang, J Helwig, Y Luo, C Fu, Y Xie, M Liu, Y Lin, Z Xu, K Yan, ... arXiv preprint arXiv:2307.08423, 2023 | 45 | 2023 |
E Equivariant Message Passing Simplicial Networks F Eijkelboom, R Hesselink, EJ Bekkers International Conference on Machine Learning, 9071-9081, 2023 | 1 | 2023 |
Improved patient selection for primary prevention ICD implantation by predicting ICD non-benefit using artificial intelligence MZH Kolk, S Ruiperez-Campillo, B Deb, EJ Bekkers, BD De Vos, ... Europace 25 (Supplement_1), euad122. 537, 2023 | | 2023 |
Equivariant Message Passing Simplicial Networks F Eijkelboom, R Hesselink, E Bekkers arXiv preprint arXiv:2305.07100, 2023 | | 2023 |