University Medical Center Utrecht
Dr. Jelmer Wolterink University Medical Center Utrecht j.m.wolterink@umcutrecht.nl

Postdoctoral Researcher
E-mail: j.m.wolterink@umcutrecht.nl
Phone: +31 88 75 56682
LinkedIn; Google Scholar


Jelmer Wolterink obtained his Bachelor of Science degree in Artificial Intelligence in 2010 from Radboud University Nijmegen. In 2012, he received his Master of Science degree in Mathematical Sciences from Utrecht University. During this master programme, Jelmer did a six month internship in the NANO-D team at INRIA Rhone-Alpes (Grenoble, France). His master thesis focused on the acceleration of molecular simulations and modeling.

In May 2017 Jelmer finished his PhD at the Image Sciences Institute at UMC Utrecht with a thesis entitled Machine learning based analysis of cardiovascular images. He is currently a postdoctoral researcher in the Quantitative Medical Image Analysis Group. His work focuses on the development of deep generative models for the analysis of cardiac spectral CT images.

Jelmer is co-organizer of the MICCAI Challenge on Automatic Coronary Calcium Scoring.


2019

S. Bruns, J.M. Wolterink, R.W. van Hamersvelt, M. Zreik, T. Leiner, I. Išgum

Improving myocardium segmentation in cardiac CT angiography using spectral information Inproceedings

SPIE Medical Imaging, 2019.

Abstract | Links | BibTeX

J. Sander, B.D. de Vos, J.M. Wolterink, I. Išgum

Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI Inproceedings

SPIE Medical Imaging, 2019.

Abstract | Links | BibTeX

2018

J.M.H. Noothout, B.D de Vos, J.M. Wolterink, T. Leiner, I. Isgum

CNN-based Landmark Detection in Cardiac CTA Scans Inproceedings

Medical Imaging with Deep Learning. MIDL Amsterdam, 2018.

Abstract | Links | BibTeX

J.M. Wolterink, T. Leiner, I. Isgum

Blood vessel geometry synthesis using generative adversarial networks Inproceedings

Medical Imaging with Deep Learning. MIDL Amsterdam, 2018.

Abstract | Links | BibTeX

2019

S. Bruns, J.M. Wolterink, R.W. van Hamersvelt, T. Leiner, I. Išgum

CNN-based segmentation of the cardiac chambers and great vessels in non-contrast-enhanced cardiac CT Conference

Medical Imaging with Deep Learning (MIDL 2019), 2019.

Abstract | Links | BibTeX