| 2025 | MICCAI | Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation. | Patryk Rygiel, Julian Suk, Kak Khee Yeung, Christoph Brune, Jelmer M. Wolterink |
| 2025 | MICCAI | GReAT: Leveraging Geometric Artery Data to Improve Wall Shear Stress Assessment. | Julian Suk, Jolanda J. Wentzel, Patryk Rygiel, Joost Daemen, Daniel Rueckert, Jelmer M. Wolterink |
| 2025 | MICCAI | Steerable Anatomical Shape Synthesis with Implicit Neural Representations. | Bram de Wilde, Max T. Rietberg, Guillaume P. R. Lajoinie, Jelmer M. Wolterink |
| 2024 | MICCAI | Vestibular Schwannoma Growth Prediction from Longitudinal MRI by Time-Conditioned Neural Fields. | Yunjie Chen, Jelmer M. Wolterink, Olaf M. Neve, Stephan R. Romeijn, Berit M. Verbist, Erik F. Hensen, Qian Tao, Marius Staring |
| 2024 | MICCAI | Neural Fields for Continuous Periodic Motion Estimation in 4D Cardiovascular Imaging. | Simone Garzia, Patryk Rygiel, Sven Dummer, Filippo Cademartiri, Simona Celi, Jelmer M. Wolterink |
| 2024 | MICCAI | Brain-Shift: Unsupervised Pseudo-Healthy Brain Synthesis for Novel Biomarker Extraction in Chronic Subdural Hematoma. | Baris Imre, Elina Thibeau-Sutre, Jorieke Reimer, Kuan Kho, Jelmer M. Wolterink |
| 2024 | MICCAI | Global Control for Local SO(3)-Equivariant Scale-Invariant Vessel Segmentation. | Patryk Rygiel, Dieuwertje Alblas, Christoph Brune, Kak Khee Yeung, Jelmer M. Wolterink |
| 2024 | MICCAI | LaB-GATr: Geometric Algebra Transformers for Large Biomedical Surface and Volume Meshes. | Julian Suk, Baris Imre, Jelmer M. Wolterink |
| 2023 | MICCAI | Dynamic Depth-Supervised NeRF for Multi-view RGB-D Operating Room Videos. | Beerend G. A. Gerats, Jelmer M. Wolterink, Ivo A. M. J. Broeders |
| 2023 | MICCAI | Uncertainty-Based Quality Assurance of Carotid Artery Wall Segmentation in Black-Blood MRI. | Elina Thibeau-Sutre, Dieuwertje Alblas, Sophie Buurman, Christoph Brune, Jelmer M. Wolterink |
| 2022 | MICCAI | Implicit Neural Representations for Generative Modeling of Living Cell Shapes. | David Wiesner, Julian Suk, Sven Dummer, David Svoboda, Jelmer M. Wolterink |
| 2019 | MICCAI | Adversarial Optimization for Joint Registration and Segmentation in Prostate CT Radiotherapy. | Mohamed S. Elmahdy, Jelmer M. Wolterink, Hessam Sokooti, Ivana Isgum, Marius Staring |
| 2019 | MICCAI | Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography. | Jelmer M. Wolterink, Tim Leiner, Ivana Isgum |
| 2017 | MICCAI | Deep MR to CT Synthesis Using Unpaired Data. | Jelmer M. Wolterink, Anna M. Dinkla, Mark H. F. Savenije, Peter R. Seevinck, Cornelis A. T. van den Berg, Ivana Isgum |
| 2017 | MICCAI | Automatic Segmentation and Disease Classification Using Cardiac Cine MR Images. | Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum |
| 2016 | MICCAI | Deep Learning for Multi-task Medical Image Segmentation in Multiple Modalities. | Pim Moeskops, Jelmer M. Wolterink, Bas H. M. van der Velden, Kenneth G. A. Gilhuijs, Tim Leiner, Max A. Viergever, Ivana Isgum |
| 2016 | MICCAI | Dilated Convolutional Neural Networks for Cardiovascular MR Segmentation in Congenital Heart Disease. | Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum |
| 2015 | MICCAI | Automatic Coronary Calcium Scoring in Cardiac CT Angiography Using Convolutional Neural Networks. | Jelmer M. Wolterink, Tim Leiner, Max A. Viergever, Ivana Isgum |