Bob de Vos

PhD Candidate
E-mail: b.d.devos-5@umcutrecht.nl
Phone: +31 88 75 56682
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In 2012 Bob finished his Master Biomedical Engineering at the University of Groningen (RUG). During his study Bob focused on clinical physics and became interested in medical image processing. After a couple of temporary assignments in the industry. Bob got the opportunity to be a PhD-candidate at the ISI. His main focus is on finding biomarkers in CT lung cancer screening scans to predict cardiovascular risk.

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


Papers in international journals

1.N. Lessmann, B. van Ginneken, M. Zreik, P.A. de Jong, B.D. de Vos, M.A. Viergever, I. Išgum. Automatic calcium scoring in low-dose chest CT using deep neural networks with dilated convolutions. IEEE Transactions on Medical Imaging, 2018, vol. 37, nr. 2, pp. 615-625 Abstract | pdf )
2.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, pp. 1–1 Abstract | pdf )
3.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 Abstract | pdf )
4.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 )
5.S.A.M. Gernaat, I. Isgum, B.D. de Vos, R.A.P. Takx, D.A. Young 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, 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, vol. 11, nr. 12, pp. e0167925 Abstract )
6.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 )
7.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 )

Papers in conference proceedings

1.Bas H. van der Velden, Bob D. de Vos, Claudette E. Loo, Hugo J. Kuijf, Ivana Išgum, Kenneth G. A. Gilhuijs. Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing. In: SPIE Medical Imaging, 2019
2.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 )
3.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 )
4.B.D. de Vos, F.F. Berendsen, M.A. Viergever, M. Staring, I. Isgum. End-to-end unsupervised deformable image registration with a convolutional neural network. In: Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017ML-CDS 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, Proceedings , 2017, pp. 204–212 Abstract | pdf )
5.H. Sokooti, B.D. de Vos, F. Berendsen, B.P.F. Lelieveldt, I. Isgum, M. Staring. Nonrigid image registration using multi-scale 3D convolutional neural networks. In: Medical Image Computing and Computer Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part 1, 2017, vol. 10433, pp. 232–239 Abstract | pdf )
6.J. Šprem, B.D. de Vos, P.A. de Jong, M.A. Viergever, I. Isgum. Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network. In: SPIE Medical Imaging, 2017 Abstract )
7.B.D. de Vos, M.A. Viergever, P.A. de Jong, I. Isgum. Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor. In: Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, MICCAI 2016, Athens, Greece, 2016, pp. 161–169 Abstract )
8.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 )
9.B.D. de Vos, J. van Setten, P.A. de Jong, W.P. Mali, M. Oudkerk, M.A. Viergever, I. Isgum. Genome-Wide Association Study of Coronary and Aortic Calcification in Lung Cancer Screening CT. In: SPIE Medical Imaging, 2016, vol. 9784, pp. 97841L-1-97841L-6 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.N. Lessmann, I. Isgum, A.A.A. Setio, B.D. de Vos, F. Ciompi, P.A. de Jong, M. Oudkerk, W.P.Th.M. Mali, M.A. Viergever, B. van Ginneken. Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT. In: SPIE Medical Imaging, 2016, vol. 9785, pp. 978511-1-978511-6 Abstract | pdf )
12.M. Zreik, T. Leiner, B.D. de Vos, R.W. van Hamersvelt, M.A. Viergever, I. Isgum. Automatic segmentation of the left ventricle in cardiac CT angiography using convolutional neural networks. In: IEEE International Symposium on Biomedical Imaging, 2016, pp. pp. 40-43
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 )

Abstracts

1.B.D. de Vos, N. Lessmann, P.A. de Jong, M.A. Viergever, 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 Abstract )
2.J. Šprem, B.D. de Vos, R. Vliegenthart, M.A. Viergever, P. A. de Jong, I. Isgum. Increasing the Interscan Reproducibility of Coronary Calcium Scoring by Partial Volume Correction in Low-Dose non-ECG Synchronized CT: Phantom Study. Radiological Society of North America, 2015