Postdoc
E-mail: b [dot] d [dot] devos [at] amsterdamumc [dot] nl
Phone: +31 20 566 89 78
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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 during his PhD was on finding biomarkers in CT lung cancer screening scans to predict cardiovascular risk. Currently Bob holds a position as a postdoctoral researcher. His project focuses on dimensionality reduction for disease analysis in high-dimensional data.

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


Journal Articles

1.

J. Sander, B.D. de Vos, I. Išgum

Automatic segmentation with detection of local segmentation failures in cardiac MRI Journal Article

Scientific Reports, 10 (21769 ), 2020.

Abstract | Links | BibTeX

2.

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, I. Išgum

Deep learning-based regression and classification for automatic landmark localization in medical images Journal Article

IEEE Transactions on Medical Imaging, 39 (12), pp. 4011-4022, 2020, ISSN: 1558-254X.

Abstract | Links | BibTeX

3.

G. Litjens, F. Ciompi, J.M. Wolterink, B.D. de Vos, T. Leiner, J. Teuwen, I. Išgum

State-of-the-art deep learning in cardiovascular image analysis Journal Article

JACC: Cardiovascular Imaging, 12 (8 Part 1), pp. 1549-1565, 2019.

Abstract | Links | BibTeX

4.

B.D. de Vos; F.F. Berendsen; M.A. Viergever; H. Sokooti; M. Staring; I. Išgum

A deep learning framework for unsupervised affine and deformable image registration Journal Article

Medical Image Analysis, 52 , pp. 128 - 143, 2019.

Abstract | Links | BibTeX

5.

B.D. de Vos, J.M. Wolterink, T. Leiner, P.A. de Jong, N. Lessmann, I. Išgum

Direct automatic coronary calcium scoring in cardiac and chest CT Journal Article

IEEE Transactions on Medical Imaging, 34 , pp. 123-136, 2019.

Abstract | Links | BibTeX

6.

J. Šprem; B.D. de Vos; N. Lessmann; P.A. de Jong; M.A. Viergever; I. Išgum

Impact of automatically detected motion artifacts on coronary calcium scoring in chest CT Journal Article

Journal of Medical Imaging, 5 (4), pp. 044007 , 2018.

Abstract | Links | BibTeX

7.

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 Journal Article

IEEE Transactions on Medical Imaging, 37 (2), pp. 615-625, 2018.

Abstract | Links | BibTeX

8.

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 Article

Journal of Nuclear Cardiology, 25 (6), pp. 2143, 2017.

Abstract | Links | BibTeX

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 Article

Journal of Nuclear Cardiology, 25 (6), pp. 2133-2142, 2017.

Abstract | Links | BibTeX

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 Journal Article

IEEE Transactions on Medical Imaging, 36 (7), pp. 1470-1481, 2017.

Abstract | BibTeX

11.

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 Journal Article

Plos One, 11 (12), pp. e0167925, 2016.

Abstract | BibTeX

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 Journal Article

Medical Image Analysis, 34 , pp. 123-136, 2016.

Abstract | BibTeX

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 Journal Article

Medical Physics, 43 (5), pp. 2361, 2016.

Abstract | BibTeX

Inproceedings

1.

J.M.H. Noothout, E.M. Postma, S. Boesveldt, B.D. de Vos, P.A.M. Smeets, I. Išgum

Automatic segmentation of the olfactory bulbs in MRI Inproceedings

In: SPIE Medical Imaging, pp. 115961J, 2021.

Abstract | Links | BibTeX

2.

J. Sander, B.D. de Vos, I. Išgum

Unsupervised super-resolution: creating high-resolution medical images from low-resolution anisotropic examples Inproceedings

In: SPIE Medical Imaging, pp. 115960E, 2021.

Abstract | Links | BibTeX

3.

T.F.A. van der Ouderaa, I. Išgum, W.B. Veldhuis, B.D. de Vos

Deep group-wise variational diffeomorphic image registration Inproceedings

In: MICCAI workshop on Thoracic Image Analysis , 2020.

Abstract | Links | BibTeX

4.

B.D. de Vos, B.H.M. van der Velden, J. Sander, K.G.A. Gilhuijs, M. Staring, I. Išgum

Mutual information for unsupervised deep learning image registration Inproceedings

In: SPIE Medical Imaging, pp. 113130R, 2020.

Abstract | Links | BibTeX

5.

S.G.M. van Velzen, B.D. de Vos, H.M. Verkooijen, T. Leiner, M.A. Viergever, I. Išgum

Coronary artery calcium scoring: can we do better? Inproceedings

In: SPIE Medical Imaging, pp. 113130G, 2020.

Abstract | Links | BibTeX

6.

J. Sander, B.D. de Vos, J.M. Wolterink, I. Išgum

Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI Inproceedings

In: SPIE Medical Imaging, pp. 1094919, 2019.

Abstract | Links | BibTeX

7.

B.H. van der Velden, B.D. de Vos, C. E. Loo, H.J. Kuijf, I. Išgum, K.G.A. Gilhuijs

Response monitoring of breast cancer on DCE-MRI using convolutional neural network-generated seed points and constrained volume growing Inproceedings

In: SPIE Medical Imaging, pp. 109500D, 2019.

Abstract | Links | BibTeX

8.

J.M.H. Noothout, B.D. de Vos, J.M. Wolterink, I. Išgum

Automatic segmentation of thoracic aorta segments in low-dose chest CT Inproceedings

In: SPIE Medical Imaging, pp. 105741S, 2018.

Abstract | Links | BibTeX

9.

J.M.H. Noothout, B.D. de Vos, J.M. Wolterink, T. Leiner, I. Išgum

CNN-based Landmark Detection in Cardiac CTA Scans Inproceedings

In: Medical Imaging with Deep Learning (MIDL 2018), 2018.

Abstract | Links | BibTeX

10.

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 Inproceedings

In: ML-CDS 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, Proceedings (Ed.): Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support: Third International Workshop, DLMIA 2017, pp. 204–212, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, Proceedings 2017.

Abstract | Links | BibTeX

11.

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 Inproceedings

In: Medical Image Computing and Computer Assisted Intervention − MICCAI 2017: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part 1, pp. 232–239, 2017.

Abstract | Links | BibTeX

12.

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 Inproceedings

In: SPIE Medical Imaging, 2017.

Abstract | Links | BibTeX

13.

B.D. de Vos, M.A. Viergever, P.A. de Jong, I. Isgum

Automatic Slice Identification in 3D Medical Images with a ConvNet Regressor Inproceedings

In: Deep Learning and Data Labeling for Medical Applications: First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, MICCAI 2016, Athens, Greece, pp. 161–169, 2016.

Abstract | BibTeX

14.

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 Inproceedings

In: SPIE Medical Imaging, pp. 97841Y-1-97841Y-7, 2016.

Abstract | BibTeX

15.

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 Inproceedings

In: SPIE Medical Imaging, pp. 97841L-1-97841L-6, 2016.

Abstract | BibTeX

16.

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 Inproceedings

In: SPIE Medical Imaging, pp. 978405-1-978405-6, 2016.

Abstract | BibTeX

17.

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 Inproceedings

In: SPIE Medical Imaging, pp. 978511, 2016, (Bla).

Abstract | Links | BibTeX

18.

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 Inproceedings

In: IEEE International Symposium on Biomedical Imaging, pp. pp. 40-43, 2016.

BibTeX

19.

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 Inproceedings

In: SPIE Medical Imaging, pp. 94140D, 2015.

Abstract | BibTeX

Abstracts

1.

M. 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, M.M. Winter

Distinguishing sinus rhythm from atrial fibrillation on single-lead ECGs using a deep neural network Abstract

In: 2020.

Abstract | Links | BibTeX

2.

J.M.H. Noothout, B.D. de Vos, J.M. Wolterink, R.A.P. Takx, T. Leiner, I. Išgum

Deep learning for automatic landmark localization in CTA for transcatheter aortic valve implantation Abstract

In: Radiological Society of North America, 105th Annual Meeting, 2019.

Abstract | Links | BibTeX

3.

S.G.M. van Velzen, J.G. Terry, B.D. de Vos, N Lessmann, S. Nair, A. Correa, H.M. Verkooijen J.J. Carr, I. Išgum

Automatic prediction of coronary heart disease events using coronary and thoracic aorta calcium among African Americans in the Jackson Heart study Abstract

In: Radiological Society of North America, 105th Annual Meeting, 2019.

Abstract | Links | BibTeX

4.

P. Moeskops, B.D. de Vos, W.B. Veldhuis, A.M. May, S. Kurk, M. Koopman, P.A. de Jong, T.Leiner, I. Išgum

Automatic quantification of 3D body composition from abdominal CT with an ensemble of convolutional neural networks Abstract

In: Radiological Society of North America, 105th Annual Meeting, 2019.

Abstract | Links | BibTeX

5.

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 Abstract

In: 2017.

Abstract | BibTeX

6.

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 Abstract

In: 2015.

BibTeX