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Our PUBLICATIONS
journal articles
16TOTAL RESOURCES
Z. Zhai, S.G.M. van Velzen, N. Lessmann, N. Planken, T. Leiner and I. Isgum, "Learning coronary artery calcium scoring in coronary CTA from non-contrast CT using unsupervised domain adaptation", Frontiers in Cardiovascular Medicine, 2022; 9: 981901.J.M.H. Noothout, N. Lessmann, M.C. van Eede, L.D. van Harten, E. Sogancioglu, F.G. Heslinga, M. Veta, B. van Ginneken, I. Išgum, "Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation", Journal of Medical Imaging, 2022; 9 (5): 1-20.
A. Schreuder, C. Jacobs, N. Lessmann, M.J.M. Broeders, M. Silva, I. Isgum, P.A. de Jong, M.M. van den Heuvel, N. Sverzellati, M. Prokop, U. Pastorino, C.M. Schaefer-Prokop, B. van Ginneken, "Scan-based competing death risk model for reevaluating lung cancer computed tomography screening eligibility", European Respiratory Journal, 2022; 59 (5).
M. Dekker, F. Waissi, M.J.M. Silvis, J.V. Bennekom, A.H. Schoneveld, R.J. de Winter, I. Isgum, N. Lessmann, B.K. Velthuis, G. Pasterkamp, A. Mosterd, L. Timmers, D.P.V. de Kleijn, "High levels of osteoprotegerin are associated with coronary artery calcification in patients suspected of a chronic coronary syndrome", Nature Scientific Reports, 2021; 11 (18946): 1-10.
B.D. de Vos, N. Lessmann, P.A. de Jong, I. Isgum, "Deep learning–quantified calcium scores for automatic cardiovascular mortality prediction at lung screening low-dose CT", Radiology Cardiothoracic Imaging, 2021; 3 (2): e190219.
N. Lessmann, C. I. Sánchez, L. Beenen, L. H. Boulogne, M. Brink, E. Calli, J. Charbonnier, T. Dofferhoff, W. M. van Everdingen, P. K. Gerke, B. Geurts, H. A. Gietema, M. Groeneveld, L. van Harten, N. Hendrix, W. Hendrix, H. J. Huisman, I. Isgum, C. Jacobs, R. Kluge, M. Kok, J. Krdzalic, B. Lassen-Schmidt, K. van Leeuwen, J. Meakin, M. Overkamp, T. van Rees Vellinga, E. M. van Rikxoort, R. Samperna, C. Schaefer-Prokop, S. Schalekamp, E. T. Scholten, C. Sital, L. Stöger, J. Teuwen, K. Vaidhya Venkadesh, C. de Vente, M. Vermaat, W. Xie, B. de Wilde, M. Prokop and B. van Ginneken, "Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence", Radiology, 2021; 298 (1): E18-E28.
S. G. M. van Velzen, N. Lessmann, B. K. Velthuis, I. E. M. Bank, D. H. J. G. van den Bongard, T. Leiner, P. A. de Jong, W. B. Veldhuis, A. Correa, J. G. Terry, J. J. Carr, M. A. Viergever, H. M. Verkooijen and I. Išgum, "Deep learning for automatic calcium scoring in CT: validation using multiple cardiac CT and chest CT protocols", Radiology, 2020; 295 (1).
C. Celeng, R. A. P. Takx, N. Lessmann, P. Maurovich-Horvat, T. Leiner, I. Išgum and P. A. de Jong, "The association between marital status, coronary computed tomography imaging biomarkers, and mortality in a lung cancer screening population", Journal of Thoracic Imaging, 2020; 35 (3): 204-209.
C. C. van 't Klooster, H. M. Nathoe, J. .Hjortnaes, M. L. Bots, I. Išgum, N. Lessmann, Y. van der Graaf, T. Leiner, F. L. J. Visseren and O. U. behalf of the group, "Multifocal cardiovascular calcification in patients with established cardiovascular disease; prevalence, risk factors, and relation with recurrent cardiovascular disease", International Journal of Cardiology, Heart amp; Vasculature, 2020; 27 (100499).
N. Lessmann, B. van Ginneken, P. A. de Jong and I. Išgum, "Iterative fully convolutional neural networks for automatic vertebra segmentation and identification", Medical Image Analysis, 2019; 53: 142-155.
N. Lessmann, P. A. de Jong, C. Celeng, R. A. P. Takx, M. A. Viergever, B. van Ginneken and I. Išgum, "Sex differences in coronary artery and thoracic aorta calcification and their association with cardiovascular mortality in heavy smokers", JACC: Cardiovascular Imaging, 2019; 12 (9): 1808-1817.
N. Khalili, N. Lessmann, E. Turk, N. Claessens, R. de Heus, T. Kolk, M. A. Viergever, M. J. N. L. Benders and I. Išgum, "Automatic brain tissue segmentation in fetal MRI using convolutional neural networks", Magnetic Resonance Imaging, 2019; 64: 77-89.
M. Dekker, F. Waissi, I. E. M. Bank, N. Lessmann, I. Išgum, B. K. Velthuis, A. M. Scholtens, G. E. Leenders, G. Pasterkamp, D. P. V. de Kleijn, L. Timmers and A. Mosterd, "Automated calcium scores collected during myocardial perfusion imaging improve identification of obstructive coronary artery disease", IJC Heart & Vasculature, 2019; 26 (100434).
M. J. Emaus, I. Išgum, S. G. M. van Velzen, H. J. G. D. van den Bongard, S. A. M. Gernaat, N. Lessmann, M. G. A. Sattler, A. J. Teske, J. Penninkhof, H. Meijer, J. P. Pignol and H. M. V. B. study group, "Bragatston study protocol: a multicentre cohort study on automated quantification of cardiovascular calcifications on radiotherapy planning CT scans for cardiovascular risk prediction in patients with breast cancer", BMJ Open, 2019; 9 (7): e028752.
N. Lessmann, B. van Ginneken, M. Zreik, P. A. de Jong, B. D. de Vos, M. A. Viergever and I. Išgum, "Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions", IEEE Transactions on Medical Imaging, 2018; 37 (2): 615-625.
M. Zreik, N. Lessmann, R. W. van Hamersvelt, J. M. Wolterink, M. Voskuil, M. A. Viergever, T. Leiner and 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; 44: 72-85.
inproceedings
5TOTAL RESOURCES
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.S. G. M. van Velzen, M. Zreik, N. Lessmann, M. A. Viergever, P. A. de Jong, H. M. Verkooijen and I. Išgum, "Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning", SPIE Medical Imaging, Image Processing, 2019; 10949: 109490X.
N. Lessmann, B. van Ginneken and I. Išgum, "Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images", SPIE Medical Imaging, Image Processing, 2018: 1057408.
N. Lessmann, B. van Ginneken, P. A. de Jong and I. Išgum, "Iterative fully convolutional neural networks for automatic vertebra segmentation", Medical Imaging with Deep Learning (MIDL 2018), 2018.
N. Lessmann, I. Isgum, A. A. A. Setio, B. D. de Vos, F. Ciompi, P. A. de Jong, M. Oudkerk, W. P. T. M. Mali, M. A. Viergever and B. van Ginneken, "Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT", SPIE Medical Imaging, 2016; 9785: 978511.
abstracts
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R. Gal, S. G. van Velzen, M. J. Emaus, D. H. van den Bongard, M. L. Gregorowitsch, E. L. Blezer, G. Sofie, N. Lessmann, M. G. Sattler, M. J. Hooning, A. J. Teske, J. J. Penninkhof, H. Meijer, J. P. Pignol, J. Verloop, I. Išgum, H. M. Verkooijen and B. S. Group, "The risk of cardiovascular disease in irradiated breast cancer patients: The role of cardiac calcifications and adjuvant treatment", European Journal of Cancer, 2020.N. Khalili, N. Lessmann, E. Turk, M. A. Viergever, M. J. N. L. Benders and I. Išgum, "Brain tissue segmentation in fetal MRI using convolutional neural networks with simulated intensity inhomogeneities", International Society for Magnetic Resonance in Medicine, 27th Annual Meeting & Exhibition, 2019.
S. G. M. van Velzen, J. G. Terry, B. D. de Vos, N. Lessmann, S. Nair, A. Correa, H. M. V. J. Carr and I. Išgum, "Automatic prediction of coronary heart disease events using coronary and thoracic aorta calcium among African Americans in the Jackson Heart study", Radiological Society of North America, 105th Annual Meeting, 2019.
S. G. M. van Velzen, N. Lessmann, M. J. Emaus, H. van den Bongard, H. M. Verkooijen and I. Išgum, "Deep learning for calcium scoring in radiotherapy treatment planning CT scans in breast cancer patients", Radiological Society of North America, 105th Annual Meeting, 2019.
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.
N. Lessmann, B. van Ginneken, P. A. de Jong, W. B. Veldhuis, M. A. Viergever and I. Isgum, "Deep learning analysis for automatic calcium scoring in routine chest CT", Radiological Society of North America, 103rd Annual Meeting, 2017.
N. Lessmann, I. Isgum, S. Lam, J. Mayo, P. A. de Jong, M. A. Viergever and B. van Ginneken, "Automatic coronary calcium scoring and cardiovascular risk estimation in the Pan-Canadian lung cancer screening trial", Radiology Society of North America, 101th Annual Meeting, 2015.
phd theses
1TOTAL RESOURCES
N. Lessmann, "Machine learning based quantification of extrapulmonary diseases in chest CT", Utrecht University, The Netherlands, 2019, ISBN: 978-94-6323-607-2..