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Our PUBLICATIONS
journal articles
21TOTAL RESOURCES
N. Hampe, S. G. M. van Velzen, J. M. Wolterink, C. Collet, J. P. S. Henriques, N. Planken, I. Išgum, "Graph neural networks for automatic extraction and labeling of the coronary artery tree in CT angiography", Journal of Medical Imaging, 2024; 11 (3): 034001.S. Bruns, J.M. Wolterink, T.P.W. van den Boogert, J.H. Runge, B.J. Bouma, J.P. Henriques, J. Baan, M.A. Viergever, R.N. Planken, I. Isgum, "Deep learning-based whole-heart segmentation in 4D contrast-enhanced cardiac CT", Computers in Biology and Medicine, 2022; 142: 105191.
J.M. Wolterink, A. Mukhopadhyay, T. Leiner, T.J. Vogl, A.M. Bucher, I. Išgum , "Generative adversarial networks: A primer for radiologists", Radiographics, 2021; 41 (3): 840-857.
J. W. Bartstra, P. A. de Jong, G. Kranenburg, J. M. Wolterink, I. Išgum, A. Wijsman, B. Wolf, A. M. den Harder, W. P. T. M. Mali and W. Spiering, "Etidronate halts systemic arterial calcification in pseudoxanthoma elasticum", Atherosclerosis, 2020; 292: 37-41.
S. Bruns, J. M. Wolterink, R. A. P. Takx, R. W. van Hamersvelt, D. Suchá, M. A. Viergever, T. Leiner and I. Išgum, "Deep learning from dual-energy information for whole-heart segmentation in dual-energy and single-energy non-contrast-enhanced cardiac CT", Medical Physics, 2020; 47 (10): 5048-5060.
M. Zreik, R. W. van Hamersvelt, N. Khalili, J. M. Wolterink, M. Voskuil, M. A. Viergever, T. Leiner and I. Išgum, "Deep learning analysis of coronary arteries in cardiac CT angiography for detection of patients requiring invasive coronary angiography", IEEE Transactions on Medical Imaging, 2020; 39 (5): 1545-1557.
J. M. Wolterink, R. W. van Hamersvelt, M. A. Viergever, T. Leiner and I. Išgum, "Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier", Medical Image Analysis, 2019; 51: 46-60.
E. Verburg, J. M. Wolterink, S. N. de Waard, I. Išgum, C. H. van Gils, W. B. Veldhuis and K. G. A. Gilhuijs, "Knowledge-based and deep learning-based automated chest wall segmentation in Magnetic Resonance Images of extremely dense breasts", Medical physics, 2019; 46 (10): 4405-4416.
N. Hampe, J. M. Wolterink, S. G. M. van Velzen, T. Leiner and I. Išgum, "Machine learning for assessment of coronary artery disease in cardiac CT: a survey", Frontiers in Cardiovascular Medicine, 2019; 6 (172).
G. Litjens, F. Ciompi, J. M. Wolterink, B. D. de Vos, T. Leiner, J. Teuwen and I. Išgum, "State-of-the-art deep learning in cardiovascular image analysis", JACC: Cardiovascular Imaging, 2019; 12 (8 Part 1): 1549-1565.
I. Isgum, B. D. de Vos, J. M. Wolterink, D. Dey, D. S. Berman, M. Rubeaux, T. Leiner and P. J. Slomka, "Erratum to: Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT", Journal of Nuclear Cardiology, 2018; 25 (6): 2143.
I. Isgum, B. D. de Vos, J. M. Wolterink, D. Dey, D. S. Berman, M. Rubeaux, T. Leiner and P. J. Slomka, "Automatic determination of cardiovascular risk by CT attenuation correction maps in Rb-82 PET/CT", Journal of Nuclear Cardiology, 2018; 25 (6): 2133-2142.
O. Bernard, A. Lalande, C. Zotti, F. Cervenansky, X. Yang, P. Heng, I. Cetin, K. Lekadir, O. C. M. G. 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 and P. Jodoin, "Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved?", IEEE Transactions on Medical Imaging, 2018; 37 (11): 2514-2525.
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. T. Berg, E. Lutgens, W. B. Veldhuis, S. Haitjema, I. E. Hoefer and T. Leiner, "Commonly available hematological biomarkers are associated with the extent of coronary calcifications", Atherosclerosis, 2018; 275: 166-173.
A. M. Dinkla, J. M. Wolterink, M. Maspero, M. H. F. Savenije, J. J. C. Verhoeff, E. Seravalli, I. Išgum, P. R. Seevinck and 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, 2018; 102 (4): 810-812.
J. M. Wolterink, T. Leiner, M. A. Viergever and I. Isgum, "Generative adversarial networks for noise reduction in low-dose CT", IEEE Transactions on Medical Imaging, 2017; 36 (12): 2536 - 2545.
B. D. de Vos, J. M. Wolterink, P. A. de Jong, T. Leiner, M. A. Viergever and I. Isgum, "ConvNet-based localization of anatomical structures in 3D medical images", IEEE Transactions on Medical Imaging, 2017; 36 (7): 1470-1481.
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 and T. Leiner, "Submillisievert coronary calcium quantification using model-based iterative reconstruction: a within-patient analysis", European Journal of Radiology, 2016; 85 (11): 2152-2159.
J. M. Wolterink, T. Leiner, B. D. de Vos, R. W. van Hamersvelt, M. A. Viergever and I. Isgum, "Automatic coronary artery calcium scoring in cardiac CT angiography using paired convolutional neural networks", Medical Image Analysis, 2016; 34: 123-136.
J. M. Wolterink, T. Leiner, B. D. de Vos, J. 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 and I. Isgum, "An evaluation of automatic coronary artery calcium scoring methods with cardiac CT using the orCaScore framework", Medical Physics, 2016; 43 (5): 2361.
J.M. Wolterink, T. Leiner, R.A.P. Takx, M.A. Viergever and I. Isgum, "Automatic coronary calcium scoring in non-contrast-enhanced ECG-triggered cardiac CT with ambiguity detection", IEEE Transactions on Medical Imaging, 2015; 34 (9): 1867-1878.
inproceedings
19TOTAL RESOURCES
M. Zreik, N. Hampe, T. Leiner, N. Khalili, J.M. Wolterink, M. Voskuil, M.A. Viergever, I. Išgum, "Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis", SPIE Medical Imaging, Image Processing, 2021, 2021; 11596: 115961F.S. Bruns, J. M. Wolterink, T. P. W. van den Boogert, J. P. Henriques, J. Baan, R. N. Planken and I. Išgum, "Automatic whole-heart segmentation in 4D TAVI treatment planning CT", SPIE Medical Imaging, Image Processing, 2021; 11596: 115960B.
N. Hampe, J. M. Wolterink, C. Collet, R. N. Planken and I. Išgum, "Graph Attention Networks for Segment Labeling in Coronary Artery Trees", SPIE Medical Imaging, Image Processing, 2021; 11596: 115961I.
L. D. van Harten, J. M. Wolterink, J. J. C. Verhoeff and I. Išgum, "Exploiting clinically available delineations for CNN-based segmentation in radiotherapy treatment planning", SPIE Medical Imaging, Image Processing, 2020; 11313: 113131F.
N. Lessmann, J.M. Wolterink, M. Zreik, M.A. Viergever, B. van Ginneken, I. Išgum, "Vertebra partitioning with thin-plate spline surfaces steered by a convolutional neural network", Medical Imaging with Deep Learning (MIDL 2019), 2019.
M. S. Elmahdy, J. M. Wolterink, H. Sokooti, I. Išgum and M. Staring, "Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy", Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Lecture Notes in Computer Science, 2019; 11769: 366-374.
S. Bruns, J. M. Wolterink, R. W. van Hamersvelt, M. Zreik, T. Leiner and I. Išgum, "Improving myocardium segmentation in cardiac CT angiography using spectral information", SPIE Medical Imaging, Image Processing, 2019; 10949: 109492M.
J. Sander, B. D. de Vos, J. M. Wolterink and I. Išgum, "Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI", SPIE Medical Imaging, Image Processing, 2019; 10949: 1094919.
J. M. Wolterink, T. Leiner and I. Išgum, "Graph convolutional networks for coronary artery segmentation in cardiac CT angiography", Graph Learning in Medical Imaging (GLMI 2019), Lecture Notes in Computer Science, 2019; 11849: 62-69.
S. Bruns, J. M. Wolterink, R. W. van Hamersvelt, T. Leiner and I. Išgum, "CNN-based segmentation of the cardiac chambers and great vessels in non-contrast-enhanced cardiac CT", Medical Imaging with Deep Learning (MIDL 2019), 2019.
J. M. Wolterink, T. Leiner and I. Išgum, "Blood vessel geometry synthesis using generative adversarial networks", Medical Imaging with Deep Learning (MIDL 2018), 2018.
J. M. Wolterink, T. Leiner, M. A. Viergever and I. Išgum, "Automatic segmentation and disease classification using cardiac cine MR images", Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges. STACOM 2017, 2018; 10663: 101-110.
M. Zreik, R. W. van Hamersvelt, J. M. Wolterink, T. Leiner, M. A. Viergever and I. Išgum, "Automatic detection and characterization of coronary artery plaque and stenosis using a recurrent convolutional neural network in coronary CT angiography", Medical Imaging with Deep Learning (MIDL 2018), 2018.
J. M. Wolterink, A. M. Dinkla, M. H. F. Savenije, P. R. Seevinck, C. A. T. van den Berg and I. Isgum, "Deep MR to CT synthesis using unpaired data", SASHIMI 2017: Simulation and Synthesis in Medical Imaging, 2017: 14023.
J. M. Wolterink, A. M. Dinkla, M. H. F. Savenije, P. R. Seevinck, C. A. T. van den Berg and I. Isgum, "MR-to-CT synthesis using cycle-consistent generative adversarial networks", Proc. Neural Inf. Process. Syst.(NIPS). 2017, 2017.
I. Isgum, B. D. de Vos, J. M. Wolterink, D. Dey, D. S. Berman, M. Rubeaux, T. Leiner and P. J. Slomka, "Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs", SPIE Medical Imaging, 2016; 9784: 978405-1-978405-6.
B. D. de Vos, J. M. Wolterink, P. A. de Jong, M. A. Viergever and I. Isgum, "2D image classification for 3D anatomy localization; employing deep convolutional neural networks", SPIE Medical Imaging, 2016; 9784: 97841Y-1-97841Y-7.
J. M. Wolterink, T. Leiner, M. A. Viergever and I. Isgum, "Dilated convolutional neural networks for cardiovascular MR segmentation in congenital heart disease", HVSMR 2016: MICCAI Workshop on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, 2016; 10129: 95-102.
J. M. Wolterink, T. Leiner, R. A. P. Takx, M. A. Viergever and I. Isgum, "An automatic machine learning system for coronary calcium scoring in clinical non-contrast enhanced, ECG-triggered cardiac CT", SPIE Medical Imaging, 2014; 9035.
abstracts
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M. Froeling, L. Schlaffke, M. Rohm, I. Išgum, H. Kan and J. M. Wolterink, "Evaluation of input data and UNet based convolutional network architectures for automated muscle annotation in 2D and 3D", International Society for Magnetic Resonance in Medicine, 27th Annual Meeting & Exhibition, 2019.J. M. Wolterink, A. Mukhopadhyay, T. Leiner, T. Vogl, A. Bucher and I. Isgum, "Generative Adversarial Networks (GANs): a primer for radiologists", Radiological Society of North America, 105th Annual Meeting, 2019.
A. M. Dinkla, J. M. Wolterink, M. Maspero, M. H. F. Savenije, J. J. C. Verhoeff, I. Išgum, P. R. Seevinck, J. J. W. Lagendijk and C. A. T. van den Berg, "Dosimetric evaluation of deep learning based synthetic-CT generation for MR-only brain radiotherapy", ESTRO , 2018.
A. M. den Harder, J. M. Wolterink, P. A. de Jong, M. C. H. de Groot, R. P. J. Budde, I. Išgum, S. Haijtjema, I. E. Hoefer and T. Leiner, "Basic hematological biomarkers are associated with coronary calcifications", Annual Meeting of the European Society of Radiology, 2018.
J. M. Wolterink, I. Išgum, E. Bennink, V. Huang, M. A. Viergever and T. Leiner, "Fully automatic segmentation of the renal cortex and medulla in contrast-enhanced abdominal CT using deep learning", 12th Netherlands Heart Days, 2018.
A. M. Dinkla, J. M. Wolterink, M. Maspero, M. H. F. Savenije, J. J. C. Verhoeff, I. Išgum, P. R. Seevinck, J. J. W. Lagendijk and C. A. T. van den Berg, "CT synthesis for MR-only brain radiotherapy treatment planning using convolutional neural networks", International Society for Magnetic Resonance in Medicine, 26th Annual Meeting & Exhibition, 2018.
J. M. Wolterink, I. Isgum, M. A. Viergever and T. Leiner, "Cardiovascular MR image segmentation in congenital heart disease using a dilated convolutional neural network", Society of Cardiovascular Computed Tomography, 12th Annual Scientific Meeting, 2017.
J. M. Wolterink, T. Leiner, M. A. Viergever and I. Isgum, "An adversarial deep learning approach to coronary CT radiation reduction", Society of Cardiovascular Computed Tomography, 12th Annual Scientific Meeting, 2017.
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 and 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.
R. van Hamersvelt, M. Zreik, N. Lessmann, J. Wolterink, M. Voskuil, M. A. Viergever, T. Leiner and I. Isgum, "Improving specificity of coronary CT angiography for the detection of functionally significant coronary artery disease: A deep learning approach", Radiological Society of North America, 103rd Annual Meeting, 2017.
J. M. Wolterink, T. Leiner, M. J. Willemink, M. A. Viergever and I. Isgum, "The impact of iterative reconstruction on detectability and quantification of calcifications in CT coronary calcium scoring: Individual lesion-by-lesion comparison", Radiology Society of North America, 101th Annual Meeting, 2015.
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 and 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.
J. M. Wolterink, T. Leiner, P. A. de Jong, M. A. Viergever and I. Isgum, "Automatic coronary calcium scoring in ECG-triggered cardiac CT", Radiology Society of North America, 99th Annual Meeting, 2013.
phd theses
1TOTAL RESOURCES
J. M. Wolterink, "Machine learning based analysis of cardiovascular images", Utrecht University, The Netherlands, 2017, ISBN: 978-94-6299-587-1.book chapters
3TOTAL RESOURCES
J. Verjans, W. B. Veldhuis, G. Carneiro, J. M. Wolterink, I. Išgum and T. Leiner, "Cardiovascular Diseases", pp. 167-185, In: E.R. Ranschaert, S. Morozov, P.R. Algra (Ed.): Artificial Intelligence in Medical Imaging - Opportunities, Applications and Risks, Springer International Publishing , 2019, ISBN: 978-3-319-94878-2.T. Leiner, J. M. Wolterink and I. Išgum, "Artificial intelligence and cardiovascular disease – friend or foe?", pp. 148-155, In: J. Bremerich, R. Salgado (Ed.): The heart revealed - Radiology in the diagnosis and management of cardiac conditions , pp. 148-155 , The European Society of Radiology (ESR), 2018, ISBN: 978-3-9504388-5-7.
J. M. Wolterink, K. Kamnitsas, C. Ledig and I. Išgum, "Deep learning: generative adversarial networks and adversarial methods", pp. 547-574, In: Handbook of Medical Image Computing and Computer Assisted Intervention, 2018, ISBN: 978-0-12-816176-0.