qurAI
Our PUBLICATIONS
journal articles
19TOTAL RESOURCES
B. D. de Vos, G. E. Jansen, I. Išgum, "Stochastic co-teaching for training neural networks with unknown levels of label noise", Scientific Reports, 2023; 13 (16875).M. Bourfiss, J. Sander, B.D. de Vos, A.S.J.M. te Riele, F.W. Asselbergs, I. Išgum and B.K. Velthuis , "Towards automatic classification of cardiovascular magnetic resonance Task Force Criteria for diagnosis of arrhythmogenic right ventricular cardiomyopathy", Clinical Research in Cardiology, 2023; 112 (3): 363-378.
S.G.M. van Velzen, B.D. de Vos, J.M.H. Noothout, H.M. Verkooijen, M.A. Viergever, I. Išgum, "Generative models for reproducible coronary calcium scoring", Journal of Medical Imaging, 2022; 9 (5): 052406.
D. van Erck, P. Moeskops, J.D. Schoufour, P.J. Weijs, W.J. Scholte op Reimer, M.S. van Mourik, Y.C. Janmaat, R.N. Planken, M. Vis, J. Baan, R. Hemke, I. Isgum, J.P. Henriques, B.D. de Vos, R. Delewi, "Evaluation of a fully automatic deep learning-based method for the measurement of psoas muscle area", Frontiers in Nutrition, 2022; 9.
J. Sander, B.D. de Vos, I. Isgum, "Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRI", Medical Image Analysis, 2022; 78: 102393.
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.
J. Sander, B. D. de Vos and I. Išgum, "Automatic segmentation with detection of local segmentation failures in cardiac MRI", Scientific Reports, 2020; 10 (21769).
J. M. H. Noothout, B. D. de Vos, J. M. Wolterink, E. M. Postma, P. A. M. Smeets, R. A. P. Takx, T. Leiner, M. A. Viergever and I. Išgum, "Deep learning-based regression and classification for automatic landmark localization in medical images", IEEE Transactions on Medical Imaging, 2020; 39 (12): 4011-4022.
B. D. de Vos, J. M. Wolterink, T. Leiner, P. A. de Jong, N. Lessmann and I. Išgum, "Direct automatic coronary calcium scoring in cardiac and chest CT", IEEE Transactions on Medical Imaging, 2019; 34: 123-136.
B. D. de Vos, F. F. Berendsen, M. A. Viergever, H. Sokooti, M. Staring and I. Išgum, "A deep learning framework for unsupervised affine and deformable image registration", Medical Image Analysis, 2019; 52: 128 - 143.
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.
J. Šprem, B. D. de Vos, N. Lessmann, R. W. van Hamersvelt, M. J. W. Greuter, P. A. de Jong, T. Leiner, M. A. Viergever and I. Išgum, "Coronary calcium scoring with partial volume correction in anthropomorphic thorax phantom and screening chest CT images", PLoS One, 2018; 13 (12): e0209318.
J. Šprem, B. D. de Vos, N. Lessmann, P. A. de Jong, M. A. Viergever and I. Išgum, "Impact of automatically detected motion artifacts on coronary calcium scoring in chest CT", Journal of Medical Imaging, 2018; 5 (4): 44007.
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.
S. A. M. Gernaat, I. Isgum, B. D. de Vos, R. A. P. Takx, D. A. Y. Afat, N. Rijnberg, D. E. Grobbee, Y. van der Graaf, P. A. de Jong, T. Leiner, H. J. G. D. van den Bongard, J. P. Pignol and H. M. Verkooijen, "Automatic coronary artery calcium scoring on radiotherapy planning CT scans of breast cancer patients: reproducibility and association with traditional cardiovascular risk factors", Plos One, 2016; 11 (12): e0167925.
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.
inproceedings
20TOTAL RESOURCES
Z. Zhai, Y. Wang, B. D. de Vos, J. M.H. Noothout, N. Planken and I. Išgum, "Generative adversarial network for coronary artery plaque synthesis in coronary CT angiography", SPIE Medical Imaging, Image Processing, 2022.M.D. Oudkerk Pool, B.D. de Vos, M.M. Winter, I. Isgum, "Deep Learning-Based Data-Point Precise R-Peak Detection in Single-Lead Electrocardiograms", IEEE Engineering in Medicine & Biology Society (EMBC), 2021; 43: 718-721.
J. M. H. Noothout, E. M. Postma, S. Boesveldt, B. D. de Vos, P. A. M. Smeets and I. Išgum, "Automatic segmentation of the olfactory bulbs in MRI", SPIE Medical Imaging, Image Processing, 2021; 11596: 115961J.
J. Sander, B. D. de Vos and I. Išgum, "Unsupervised super-resolution: creating high-resolution medical images from low-resolution anisotropic examples", SPIE Medical Imaging, Image Processing, 2021; 11596: 115960E.
S. G. M. van Velzen, B. D. de Vos, H. M. Verkooijen, T. Leiner, M. A. Viergever and I. Išgum, "Coronary artery calcium scoring: can we do better?", SPIE Medical Imaging, Image Processing, 2020; 11313: 113130G.
T. F. A. van der Ouderaa, I. Išgum, W. B. Veldhuis and B. D. de Vos, "Deep group-wise variational diffeomorphic image registration", MICCAI workshop on Thoracic Image Analysis, 2020; 12502: 155-164.
B. D. de Vos, B. H. M. van der Velden, J. Sander, K. G. A. Gilhuijs, M. Staring and I. Išgum, "Mutual information for unsupervised deep learning image registration", SPIE Medical Imaging, Image Processing, 2020; 11313: 113130R.
B. H. van der Velden, B. D. de Vos, C. E. Loo, H. J. Kuijf, I. Išgum and K. G. A. Gilhuijs, "Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing", SPIE Medical Imaging, Image Processing, 2019; 10950: 109500D.
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. H. Noothout, B. D. de Vos, J. M. Wolterink, T. Leiner and I. Išgum, "CNN-based landmark detection in cardiac CTA scans", Medical Imaging with Deep Learning (MIDL 2018), 2018.
J. M. H. Noothout, B. D. de Vos, J. M. Wolterink and I. Išgum, "Automatic segmentation of thoracic aorta segments in low-dose chest CT", SPIE Medical Imaging, Image Processing, 2018; 10574: 105741S.
B. D. de Vos, F. F. Berendsen, M. A. Viergever, M. Staring and I. Isgum, "End-to-end unsupervised deformable image registration with a convolutional neural network", Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, 2017: 204-212.
H. Sokooti, B. D. de Vos, F. Berendsen, B. P. F. Lelieveldt, I. Isgum and M. Staring, "Nonrigid image registration using multi-scale 3D convolutional neural networks", Medical Image Computing and Computer Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part 1, 2017; 10433: 232-239.
J. Šprem, B. D. de Vos, P. A. de Jong, M. A. Viergever and I. Isgum, "Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network", SPIE Medical Imaging, 2017.
M. Zreik, T. Leiner, B. D. de Vos, R. W. van Hamersvelt, M. A. Viergever and I. Isgum, "Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks", IEEE International Symposium on Biomedical Imaging, 2016: pp. 40-43.
B. D. de Vos, M. A. Viergever, P. A. de Jong and I. Isgum, "Automatic slice identification in 3D medical images with a ConvNet regressor", Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, MICCAI 2016, Athens, Greece, 2016: 161-169.
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.
B. D. de Vos, J. van Setten, P. A. de Jong, W. P. Mali, M. Oudkerk, M. A. Viergever and I. Isgum, "Genome-wide association study of coronary and aortic calcification in lung cancer screening CT", SPIE Medical Imaging, 2016; 9784: 97841L-1-97841L-6.
B. D. de Vos, P. A. de Jong, J. M. Wolterink, R. Vliegenthart, G. V. F. Wielingen, M. A. Viergever and I. Isgum, "Automatic machine learning based prediction of cardiovascular events in lung cancer screening data", SPIE Medical Imaging, 2015; 9414: 94140D.
abstracts
5TOTAL RESOURCES
M. D. Oudkerk Pool, B. D. de Vos, J. M. Wolterink, S. Blok, M. J. Schuuring, H. Bleijendaal, D. A. J. Dohmen, I. I. Tulevski, G. A. Somsen, B. J. M. Mulder, Y. Pinto, B. J. Bouma, I. Išgum and M. M. Winter, "Distinguishing sinus rhythm from atrial fibrillation on single-lead ECGs using a deep neural network", European Society of Cardiology Conference, 2020.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.
P. Moeskops, B. D. de Vos, W. B. Veldhuis, A. M. May, S. Kurk, M. Koopman, P. A. de Jong, T.Leiner and I. Išgum, "Automatic quantification of 3D body composition from abdominal CT with an ensemble of convolutional neural networks", Radiological Society of North America, 105th Annual Meeting, 2019.
J. M. H. Noothout, B. D. de Vos, J. M. Wolterink, R. A. P. Takx, T. Leiner and I. Išgum, "Deep learning for automatic landmark localization in CTA for transcatheter aortic valve implantation", Radiological Society of North America, 105th Annual Meeting, 2019.
B. D. de Vos, N. Lessmann, P. A. de Jong, M. A. Viergever and I. Isgum, "Direct coronary artery calcium scoring in low-dose chest CT using deep learning analysis", Radiological Society of North America, 103rd Annual Meeting, 2017.
phd theses
1TOTAL RESOURCES
B. D. de Vos, "Machine learning for cardiovascular disease analysis in chest CT", Utrecht University, The Netherlands, 2018, ISBN: 978-90-393-7065-0..book chapters
2TOTAL RESOURCES
B. D. de Vos, H. Sokooti, M. Staring, I. Isgum, "Machine Learning in Image Registration", pp. 501-515, Elsevier Science Publishing, 2023, ISBN: 9780128136577.S.G.M van Velzen, N. Hampe, B.D. de Vos, I. Isgum, "Artificial intelligence-based evaluation of coronary calcium", pp. 245-257, In: De Cecco, C.N., van Assen, M., Leiner, T. (eds) Artificial intelligence in cardiothoracic imaging. Humana, Cham, 2022, ISBN: 978-3-030-92087-6.