dr. J.M. Wolterink (Jelmer)

Universitair docent


Medicine & Life Sciences
Computed Tomography Angiography
Coronary Vessels
Deep Learning
Engineering & Materials Science
Convolutional Neural Networks
Deep Learning


Gerats, B. G. A. , Wolterink, J. M. , & Broeders, I. A. M. J. (2023). Dynamic Depth-Supervised NeRF for Multi-view RGB-D Operating Room Videos. In I. Rekik, E. Adeli, S. H. Park, C. Cintas, & G. Zamzmi (Eds.), Predictive Intelligence in Medicine : 6th International Workshop, PRIME 2023, Held in Conjunction with MICCAI 2023, Proceedings (pp. 218-230). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14277). Springer. https://doi.org/10.1007/978-3-031-46005-0_19
Wiesner, D. , Suk, J. , Dummer, S., Nečasová, T., Ulman, V., Svoboda, D. , & Wolterink, J. M. (2024). Generative modeling of living cells with SO(3)-equivariant implicit neural representations. Medical image analysis, 91, Article 102991. Advance online publication. https://doi.org/10.1016/j.media.2023.102991
Chen, Y., Staring, M. , Wolterink, J. M., & Tao, Q. (2023). Local Implicit Neural Representations for Multi-Sequence MRI Translation. In 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2023-April). IEEE. https://doi.org/10.1109/ISBI53787.2023.10230409
Mir, N., Fransen, S. J. , Wolterink, J. M. , Fütterer, J. J. , & Simonis, F. F. J. (2023). Recent Developments in Speeding up Prostate MRI. Journal of magnetic resonance imaging. Advance online publication. https://doi.org/10.1002/jmri.29108
Thibeau-Sutre, E. , Alblas, D., Buurman, S. , Brune, C. , & Wolterink, J. M. (Accepted/In press). Uncertainty-based quality assurance of carotid artery segmentation. In Uncertainty for Safe Utilization of Machine Learning in Medical Imaging (UNSURE)
van Veldhuizen, W. A., van der Wel, H., Kuipers, H. Y., Kraeima, J., ten Duis, K. , Wolterink, J. M., de Vries, J. P. P. M. , Schuurmann, R. C. L., & IJpma, F. F. A. (2023). Development of a Statistical Shape Model and Assessment of Anatomical Shape Variations in the Hemipelvis. Journal of Clinical Medicine, 12(11), Article 3767. https://doi.org/10.3390/jcm12113767
Thibeau-Sutre, E. , Wolterink, J. M., Colliot, O., & Burgos, N. (2023). How Can Data Augmentation Improve Attribution Maps for Disease Subtype Explainability? In O. Colliot, & I. Isgum (Eds.), SPIE Medical Imaging 2023: Image Processing Article 1246424 SPIE. https://doi.org/10.1117/12.2653809
van Veldhuizen, W. A. , Schuurmann, R. C. L., Zuidema, R., Geraedts, A. C. M., IJpma, F. F. A., Kropman, R. H. J., Antoniou, G. A., van Sambeek, M. R. H. M., Balm, R. , Wolterink, J. M., & de Vries, J. P. P. M. (2023). A Statistical Shape Model of Infrarenal Aortic Necks in Patients With and Without Late Type Ia Endoleak After Endovascular Aneurysm Repair. Journal of Endovascular Therapy. Advance online publication. https://doi.org/10.1177/15266028221149913

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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (gebouwnr. 11), kamer 2063
Hallenweg 19
7522NH  Enschede

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Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  2063
Postbus 217
7500 AE Enschede