dr. I. (Ivana) Isgum

dr. I. (Ivana) Isgum

Associate Professor
dr. I. (Ivana) Isgum
  • Image Sciences Institute

Research Programs



Ivana Išgum graduated in Mathematics at the University of Zagreb, Croatia in 1999. The same year she was employed as a scientific software engineer at Silicon Biomedical Instruments BV, The Netherlands. In 2001 she became a PhD student at the Image Sciences Institute. Her PhD degree was obtained in 2007 with a thesis entitled Computer-aided detection and quantification of arterial calcifications with CT. She then worked for a year as a PostDoc at the Laboratory for Clinical and Experimental Image Processing in Leiden University Medical Center on the detection of atherosclerotic carotid plaque from combined magnetic resonance angiography and vessel wall images. Ivana is currently an Associate Professor at UMC Utrecht where she is leading Quantitative Medical Image Analysis (QIA) group at the Image Sciences Institute. QIA group is focusing on the development of algorithms for quantitative analysis of medical images to enable automatic patient diagnosis and prognosis using techniques from the fields of machine learning and deep learning.

Research Output (169)

High levels of osteoprotegerin are associated with coronary artery calcification in patients suspected of a chronic coronary syndrome

Dekker Mirthe, Waissi Farahnaz, Silvis Max J.M., Bennekom Joelle V., Schoneveld Arjan H., de Winter Robbert J., Isgum Ivana, Lessmann Nikolas, Velthuis Birgitta K., Pasterkamp Gerard, Mosterd Arend, Timmers Leo, de Kleijn Dominique P.V. 23 sep 2021, In: Scientific Reports. 11 10 p.

Combining pulmonary and cardiac computed tomography biomarkers for disease-specific risk modelling in lung cancer screening

Schreuder Anton, Jacobs Colin, Lessmann Nikolas, Broeders Mireille J.M., Silva Mario, Išgum Ivana, de Jong Pim A., Sverzellati Nicola, Prokop Mathias, Pastorino Ugo, Schaefer-Prokop Cornelia M., van Ginneken Bram 1 sep 2021, In: European Respiratory Journal. 58 14 p.

Deep learning–quantified calcium scores for automatic cardiovascular mortality prediction at lung screening low-dose ct

de Vos Bob D., Lessmann Nikolas, de Jong Pim A., Išgum Ivana apr 2021, In: Radiology: Cardiothoracic Imaging. 3

The prognostic value of automated coronary calcium derived by a deep learning approach on non-ECG gated CT images from 82Rb-PET/CT myocardial perfusion imaging

Dekker Mirthe, Waissi Farahnaz, Bank Ingrid E M, Isgum Ivana, Scholtens Asbjørn M, Velthuis Birgitta K, Pasterkamp Gerard, de Winter Robbert J, Mosterd Arend, Timmers Leo, de Kleijn Dominique P V 2021, In: International Journal of Cardiology. 329 , p. 9-15 7 p.

Automatic segmentation of the olfactory bulbs in MRI

Noothout Julia M.H., Postma Elbrich M., Boesveldt Sanne, De Vos Bob D., Smeets Paul A.M., Išgum Ivana 2021,

Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis

Zreik Majd, Hampe Nils, Leiner Tim, Khalili Nadih, Wolterink Jelmer M., Voskuil Michiel, Viergever Max A., Išgum Ivana 2021,

Identification of Risk of Cardiovascular Disease by Automatic Quantification of Coronary Artery Calcifications on Radiotherapy Planning CT Scans in Patients with Breast Cancer

Gal Roxanne, Van Velzen Sanne G.M., Hooning Maartje J., Emaus Marleen J., Van Der Leij Femke, Gregorowitsch Madelijn L., Blezer Erwin L.A., Gernaat Sofie A.M., Lessmann Nikolas, Sattler Margriet G.A., Leiner Tim, De Jong Pim A., Teske Arco J., Verloop Janneke, Penninkhof Joan J., Vaartjes Ilonca, Meijer Hanneke, Van Tol-Geerdink Julia J., Pignol Jean Philippe, Van Den Bongard Desirée H.J.G., Išgum Ivana, Verkooijen Helena M. 2021, In: JAMA Oncology. 7 , p. 1024-1032 9 p.

Automatic segmentation with detection of local segmentation failures in cardiac MRI

Sander Jörg, de Vos Bob D, Išgum Ivana 10 dec 2020, In: Scientific Reports. 10

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

Gal R., van Velzen S. G., Emaus M. J., van den Bongard D. H., Gregorowitsch M. L., Blezer E. L., Sofie G., Lessmann N., Sattler M. G., Hooning M. J., Teske A. J., Penninkhof J. J., Meijer H., Pignol J. P., Verloop J., Išgum I., Verkooijen H. M., okt 2020, In: European Journal of Cancer. 138 , p. S6

Deep learning from dual-energy information for whole-heart segmentation in dual-energy and single-energy non-contrast-enhanced cardiac CT

Bruns Steffen, Wolterink Jelmer M, Takx Richard A P, van Hamersvelt Robbert W, Suchá Dominika, Viergever Max A, Leiner Tim, Išgum Ivana 12 aug 2020, In: Medical Physics. 47 , p. 5048-5060 13 p.

All research output

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