PhD candidate
e-mail: j [dot] sprem [at] umcutrecht [dot] nl
Phone: +31 88 75 56695
LinkedIn; Google Scholar

In 2012 Jurica obtained his Bachelor of Science in Computing degree at the University of Zagreb, Croatia (Faculty of Electrical Engineering and Computing). In 2014 he got his Master’s Degree in Information and Communication Technology at the University of Zagreb. His main interest lies in image processing and its application in medical imaging. In 2014 he started as a PhD-candidate at the Image Sciences Institute in UMC Utrecht where his main area of research is calcium scoring of plaque in coronary arteries under the project “Cardiovascular phenotype-genotype analysis within a CT based lung cancer screening trial“. He is currently working on decreasing the interscan variabilities using different machine learning approaches (deep learning).

Journal Articles


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, I. Išgum

Coronary calcium scoring with partial volume correction in anthropomorphic thorax phantom and screening chest CT images Journal Article

PLoS One, 13 (12), pp. e0209318, 2018.

Abstract | Links | BibTeX


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


J.S. Kuperus, C.F. Buckens, J. Šprem, F.C. Oner, P.A. de Jong, J. Verlaan

The Natural Course of Diffuse Idiopathic Skeletal Hyperostosis in the Thoracic Spine of Adult Males Journal Article

The Journal of Rheumatology, 2018, ISSN: 0315-162X.

Abstract | Links | BibTeX



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



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.


PhD Theses


J. Šprem

Enhanced cardiovascular risk prediction by machine learning PhD Thesis

Utrecht University, The Netherlands, 2019, ISBN: 978-94-6323-713-0.