PhD candidate
e-mail: s [dot] g [dot] m [dot] vanvelzen [at] amsterdamumc [dot] nl
Phone: +31 56 60226
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Sanne van Velzen studied Medical Natural Sciences at the Free University in Amsterdam, a broad study that combines mathematics, chemistry and physics and applies it in the medical field. In 2016 she received her Master of Science degree in Medical Natural Sciences with the specialization in medical imaging.

Her master thesis focused on analysis of cardiac PET images of a newly developed tracer in nuclear imaging and on analysis of PET image reconstructions. Sanne joined the Quantitative Medical Image Analysis Group in September 2016, where she is working on Automated cardiovascular risk prediction in breast cancer patients undergoing radiotherapy treatment planning CT.


Journal Articles

1.

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, I. Išgum

Deep learning for automatic calcium scoring in CT: validation using multiple cardiac CT and chest CT protocols Journal Article

Radiology, 295 (1), 2020.

Abstract | Links | BibTeX

2.

N. Hampe, J.M. Wolterink, S.G.M. van Velzen, T. Leiner, I. Išgum

Machine learning for assessment of coronary artery disease in cardiac CT: a survey Journal Article

Frontiers in Cardiovascular Medicine, 6 (172), 2019.

Abstract | Links | BibTeX

3.

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, H.M. Verkooijen; Bragatston 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 Journal Article

BMJ Open, 9 (7), pp. e028752, 2019.

Abstract | Links | BibTeX

4.

S.A.M. Gernaat, S.G.M. van Velzen, V. Koh, M.J. Emaus, I. Išgum, N. Lessmann, S. Moes, A. Jacobson, P.W. Tan, D.E. Grobbee, D.H.J. van den Bongard, J.I. Tang, H.M. Verkooijen

Automatic quantification of calcifications in the coronary arteries and thoracic aorta on radiotherapy planning CT scans of Western and Asian breast cancer patients Journal Article

Radiotherapy and Oncology, 127 (3), pp. 487-492, 2018.

Abstract | Links | BibTeX

Inproceedings

1.

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

2.

S.G.M. van Velzen, M. Zreik, N. Lessmann, M.A. Viergever, P.A. de Jong, H.M. Verkooijen, I. Išgum

Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning Inproceedings

In: SPIE Medical Imaging, pp. 109490X, 2019.

Abstract | Links | BibTeX

Abstracts

1.

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, Bragatston Study Group

The risk of cardiovascular disease in irradiated breast cancer patients: The role of cardiac calcifications and adjuvant treatment Abstract

In: European Journal of Cancer, 138, pp. S6, 2020.

Abstract | Links | BibTeX

2.

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

3.

S.G.M. van Velzen, N. Lessmann, M.J. Emaus, H. van den Bongard, H.M. Verkooijen, I. Išgum

Deep learning for calcium scoring in radiotherapy treatment planning CT scans in breast cancer patients Abstract

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

Abstract | Links | BibTeX