Jelmer Wolterink

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.


 

Papers in international journals

1.M. Zreik, R.W. van Hamersvelt, J.M. Wolterink, T. Leiner, M.A. Viergever, I. Isgum. A recurrent CNN for automatic detection and classification of coronary artery plaque and stenosis in coronary CT angiography. IEEE Transactions on Medical Imaging, in press, 2019 Abstract | pdf )
2.J.M. Wolterink, R.W. van Hamersvelt, M.A. Viergever, T. Leiner, I. Isgum. Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier. Medical Image Analysis, 2019, vol. 51, pp. 46-60 Abstract | pdf )
3.A.M. den Harder, P.A. de Jong, M.C.H. de Groot, J.M. Wolterink, R.P.J. Budde, I. Išgum, W.W. van Solinge, M.J. Ten Berg, E. Lutgens, W.B. Veldhuis, S. Haitjema, I.E. Hoefer, T. Leiner. Commonly available hematological biomarkers are associated with the extent of coronary calcifications. Atherosclerosis, 2018, vol. 275, pp. 166-173 Abstract | pdf )
4.A.M. Dinkla, J.M. Wolterink, M. Maspero, M.H.F. Savenije, J.J.C. Verhoeff, E. Seravalli, I. Isgum, P.R. Seevinck, C.A.T. van den Berg. MR-only brain radiotherapy: Dosimetric evaluation of synthetic CTs generated by a dilated convolutional neural network. International Journal of Radiation Oncology, Biology, Physics, in press, 2018
5.O. Bernard, A. Lalande, C. Zotti, F. Cervenansky, X. Yang, P. Heng, I. Cetin, K. Lekadir, O. Camaram M.A. Gonzalez Ballester, G. Sanroma, S. Napel, S. Petersen, G. Tziritas, E. Grinias, M. Khened, V.A. Kollerathu, G. Krishnamurthi, M. Rohé, X. Pennec, M. Sermesant, F. Isensee, P. Jäger, K.H. Maier-Hein, C.F. Baumgartner, L.M. Koch, J.M. Wolterink, I. Išgum, Y. Jang, Y. Hong, J. Patravali, S. Jain, O. Humbert, P. Jodoin. Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved?. IEEE Transactions on Medical Imaging, in press, 2018 Abstract | pdf )
6.M. Zreik, N. Lessmann, R. van Hamersvelt, J.M. Wolterink, M. Voskuil, M.A. Viergever, T. Leiner, I. Išgum. Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis. Medical Image Analysis, 2018, vol. 44, pp. 72-85 Abstract | pdf )
7.I. Isgum, B.D. de Vos, J.M. Wolterink, D. Dey, D.S. Berman, M. Rubeaux, T. Leiner, P. J. Slomka. Erratum to: Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT. Journal of Nuclear Cardiology, 2017, vol. 25, nr. 6, pp. 2143 Abstract | pdf )
8.J.M. Wolterink, T. Leiner, M.A. Viergever, I. Isgum. Generative adversarial networks for noise reduction in low-dose CT. IEEE Transactions on Medical Imaging, 2017, vol. 36, nr. 12, pp. 2536 - 2545 Abstract | pdf )
9.I. Isgum, B.D. de Vos, J.M. Wolterink, D. Dey, D.S. Berman, M. Rubeaux, T. Leiner, P.J. Slomka. Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT. Journal of Nuclear Cardiology, in press, 2017, vol. 25, nr. 6, pp. 2133-2142 Abstract | pdf )
10.B.D. de Vos, J.M. Wolterink, P.A. de Jong, T. Leiner, M.A. Viergever, I. Isgum. ConvNet-based localization of anatomical structures in 3D medical images. IEEE Transactions on Medical Imaging, 2017, vol. 36, nr. 7, pp. 1470-1481 Abstract )
11.A.M. den Harder, J.M. Wolterink, M.J. Willemink, A.M.R. Schilham, P.A. de Jong, R.P.J. Budde, H.M. Nathoe, I. Isgum, T. Leiner. Submillisievert coronary calcium quantification using model-based iterative reconstruction: a within-patient analysis. European Journal of Radiology, 2016, vol. 85, nr. 11, pp. 2152-2159 Abstract )
12.J.M. Wolterink, T. Leiner, B.D. de Vos, R.W. van Hamersvelt, M.A. Viergever, I. Isgum. Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks. Medical Image Analysis, 2016, vol. 34, pp. 123-136 Abstract )
13.J.M. Wolterink, T. Leiner, B.D. de Vos, J-L. Coatrieux, B.M. Kelm, S. Kondo, R.A. Salgado, R. Shahzad, H. Shu, M. Snoeren, R.A.P. Takx, L.J. van Vliet, T. van Walsum, T.P. Willems, G. Yang, Y. Zheng, M.A. Viergever, I. Isgum. An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework. Medical Physics, 2016, vol. 43, nr. 5, pp. 2361 Abstract )
14.J.M. Wolterink, T. Leiner, R.A.P. Takx, M.A. Viergever, I. Isgum. Automatic coronary calcium scoring in non-contrast-enhanced ECG-triggered cardiac CT with ambiguity detection. IEEE Transactions on Medical Imaging, 2015, vol. 34, nr. 9, pp. 1867-1878 Abstract )

Papers in conference proceedings

1.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. In: SPIE Medical Imaging, 2019 Abstract | pdf )
2.J. Sander, B.D. de Vos, J.M. Wolterink, I. Išgum. Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI. In: SPIE Medical Imaging, 2019 Abstract | pdf )
3.J.M.H. Noothout, B.D. de Vos, J.M. Wolterink, I. Isgum. Automatic segmentation of thoracic aorta segments in low-dose chest CT. In: SPIE Medical Imaging, 2018, vol. 10574, pp. 105741S Abstract | pdf )
4.J.M. Wolterink, T. Leiner, I. Isgum. Blood vessel geometry synthesis using generative adversarial networks. In: Medical Imaging with Deep Learning. MIDL Amsterdam, 2018 Abstract | pdf )
5.J.M.H. Noothout, B.D de Vos, J.M. Wolterink, T. Leiner, I. Isgum. CNN-based Landmark Detection in Cardiac CTA Scans. In: Medical Imaging with Deep Learning. MIDL Amsterdam, 2018 Abstract | pdf )
6.J.M. Wolterink, T. Leiner, M.A. Viergever, I. Isgum. Automatic segmentation and disease classification using cardiac cine MR images. In: Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges. STACOM 2017, 2018, vol. 10663, pp. 101-110 Abstract | pdf )
7.J.M. Wolterink, A.M. Dinkla, M.H.F. Savenije, P.R. Seevinck, C.A.T. van den Berg, I. Isgum. Deep MR to CT synthesis using unpaired data. In: SASHIMI 2017: Simulation and Synthesis in Medical Imaging, in press, 2017 Abstract | pdf )
8.J.M. Wolterink, T. Leiner, M.A. Viergever, I. Isgum. Dilated convolutional neural networks for cardiovascular MR segmentation in congenital heart disease. In: HVSMR 2016: MICCAI Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, 2017, vol. 10129, pp. 95-102 Abstract )
9.P. Moeskops, J.M. Wolterink, B.H.M. van der Velden, K.G.A. Gilhuijs, T. Leiner, M.A. Viergever, I. Isgum. Deep learning for multi-task medical image segmentation in multiple modalities. In: Medical Image Computing and Computer-Assisted Intervention, 2016, vol. 9901, pp. 478-486 Abstract )
10.I. Isgum, B.D. de Vos, J.M. Wolterink, D. Dey, D.S. Berman, M. Rubeaux, T. Leiner, P.J. Slomka. Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs. In: SPIE Medical Imaging, 2016, vol. 9784, pp. 978405-1-978405-6 Abstract )
11.B.D. de Vos, J.M. Wolterink, P.A. de Jong, M.A. Viergever, I. Isgum. 2D image classification for 3D anatomy localization; employing deep convolutional neural networks. In: SPIE Medical Imaging, 2016, vol. 9784, pp. 97841Y-1-97841Y-7 Abstract )
12.J.M. Wolterink, T. Leiner, M.A. Viergever, I. Isgum. Automatic coronary calcium scoring in cardiac CT angiography using convolutional neural networks. In: Medical Image Computing and Computer-Assisted Intervention, 2015, vol. 9349, pp. 589-596 Abstract )
13.B.D. de Vos, P.A. de Jong, J.M. Wolterink, R. Vliegenthart, G.V.F. Wielingen, M.A. Viergever, I. Isgum. Automatic machine learning based prediction of cardiovascular events in lung cancer screening data. In: SPIE Medical Imaging, 2015, vol. 9414, pp. 94140D Abstract )
14.J.M. Wolterink, T. Leiner, R.A.P. Takx, M.A. Viergever, I. Isgum. An automatic machine learning system for coronary calcium scoring in clinical non-contrast enhanced, ECG-triggered cardiac CT. In: SPIE Medical Imaging, 2014, vol. 9035 Abstract )

Abstracts

1.A.M. Dinkla, J.M. Wolterink, M. Maspero, M.H.F. Savenije, J.J.C. Verhoeff, I. Isgum, P.R. Seevinck, J.J.W. Lagendijk, C.A.T. van den Berg. Dosimetric evaluation of deep learning based synthetic-CT generation for MR-only brain radiotherapy. ESTRO 37, 2018
2.A.M. den Harder, J.M. Wolterink, P.A. de Jong, M.C.H. de Groot, R.P.J. Budde, I. Isgum, S. Haijtjema, I.E. Hoefer, T. Leiner. Basic hematological biomarkers are associated with coronary calcifications. Annual Meeting of the European Society of Radiology, 2018
3.J.M. Wolterink, I. Isgum, E. Bennink, V. Huang, M.A. Viergever, T. Leiner. Fully automatic segmentation of the renal cortex and medulla in contrast-enhanced abdominal CT using deep learning. 12th Netherlands Heart Days, 2018
4.J.M. Wolterink, A.M. Dinkla, M.H.F. Savenije, P.R. Seevinck, C.A.T. van den Berg, I. Isgum. MR-to-CT synthesis using cycle-consistent generative adversarial networks. Medical Imaging Meets NIPS Workshop, 2017
5.J.M. Wolterink, I. Isgum, M.A. Viergever, T. Leiner. Cardiovascular MR image segmentation in congenital heart disease using a dilated convolutional neural network. ESMRMB, 24th Annual Scientific Meeting, 2017
6.M. Zreik, N. Lessmann, R. van Hamersvelt, J. Wolterink, M. Voskuil, M.A Viergever, T. Leiner, I. Isgum. Deep learning analysis of the left ventricular myocardium in cardiac CT images enables detection of functionally significant coronary artery stenosis regardless of coronary anatomy. Radiological Society of North America, 103rd Annual Meeting, 2017 Abstract )
7.J.M. Wolterink, T. Leiner, M.A. Viergever, I. Isgum. An adversarial deep learning approach to coronary CT radiation reduction. Society of Cardiovascular Computed Tomography, 12th Annual Scientific Meeting, 2017 Abstract )
8.A.M. den Harder, J.M. Wolterink, P.A. de Jong, M.C.H. de Groot, I. Isgum, W.B. Veldhuis, S. Haijtema, I.E. Hoefer, T. Leiner. Towards understanding the role of the hematological system in the pathophysiology of coronary calcifications: A cohort study. Society of Cardiovascular Computed Tomography, 12th Annual Scientific Meeting, 2017
9.A.M. den Harder, J.M. Wolterink, M.J. Willemink, A.M.R. Schilham, P.A. de Jong, R.P.J. Budde, H.M. Nathoe, I. Isgum, T. Leiner. Low-dose coronary calcium scoring with model-based iterative reconstruction. Society of Cardiovascular Computed Tomography, 11th Annual Scientific Meeting, 2016
10.J.M. Wolterink, T. Leiner, M.J. Willemink, M.A. Viergever, I. Isgum. The impact of iterative reconstruction on detectability and quantification of calcifications in CT coronary calcium Scoring: Individual lesion-by-lesion comparison. Radiological Society of North America, 101th Annual Meeting, 2015 Abstract )
11.J.M. Wolterink, M.J. Willemink, R.A.P. Takx, M. Prokop, J. de Mey, M. Das, P.A. de Jong, R.P.J. Budde, A.M.R. Schilham, R.L.A.W. Bleys, N. Buls, J.E. Wildberger, M.A. Viergever, I. Isgum, T. Leiner. Differences in coronary artery calcification scores obtained with different CT scanners are not software related. Society of Cardiovascular Computed Tomography, 9th Annual Scientific Meeting, 2014 Abstract )
12.J.M. Wolterink, T. Leiner, P.A. de Jong, M.A. Viergever, I. Isgum. Automatic coronary calcium scoring in ECG-triggered cardiac CT. Radiological Society of North America, 99th Annual Meeting, 2013 Abstract )

PhD Thesis

1.J.M. Wolterink. Machine learning based analysis of cardiovascular images. Utrecht University, The Netherlands, 2017, ISBN: 978-94-6299-587-1 Abstract )