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dr. I. (Ivana) Isgum

Associate Professor

  • Image Sciences Institute

dr. I. (Ivana) Isgum

Research Programs

Biography

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 (159)

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 , p. 21769

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.

Deep Learning-Based Regression and Classification for Automatic Landmark Localization in Medical Images

Noothout Julia M H, De Vos Bob D, Wolterink Jelmer M, Postma Elbrich M, Smeets Paul A M, Takx Richard A P, Leiner Tim, Viergever Max A, Isgum Ivana 13 jul 2020, In: IEEE transactions on medical imaging. 39 , p. 4011-4022 12 p.

Multifocal cardiovascular calcification in patients with established cardiovascular disease; prevalence, risk factors, and relation with recurrent cardiovascular disease

van 't Klooster Cilie C., Nathoe Hendrik M., Hjortnaes J., Bots Michiel L., Isgum Ivana, Lessmann Nikolas, van der Graaf Yolanda, Leiner Tim, Visseren Frank L.J., 1 apr 2020, In: IJC Heart and Vasculature. 27 , p. 100499

Deep learning for automatic calcium scoring in CT:Validation using multiple cardiac CT and chest CT protocols

van Velzen Sanne G.M., Lessmann Nikolas, Velthuis Birgitta K., Bank Ingrid E.M., van den Bongard Desiree H.J.G., Leiner Tim, de Jong Pim A., Veldhuis Wouter B., Correa Adolfo, Terry James G., Carr John Jeffrey, Viergever Max A., Verkooijen Helena M., Išgum Ivana apr 2020, In: Radiology. 295 , p. 66-79 14 p.

Automated calcium scores collected during myocardial perfusion imaging improve identification of obstructive coronary artery disease

Dekker Mirthe, Waissi Farahnaz, Bank Ingrid E.M., Lessmann Nikolas, Išgum Ivana, Velthuis Birgitta K., Scholtens Asbjørn M., Leenders Geert E., Pasterkamp Gerard, de Kleijn Dominique P.V., Timmers Leo, Mosterd Arend 1 feb 2020, In: IJC Heart and Vasculature. 26 6 p.

Mutual information for unsupervised deep learning image registration

de Vos Bob D., van der Velden Bas H.M., Sander Jörg, Gilhuijs Kenneth G.A., Staring Marius, Išgum Ivana 2020,

Coronary artery calcium scoring:Can we do better?

van Velzen Sanne G.M., de Vos Bob D., Verkooijen Helena M., Leiner Tim, Viergever Max A., Išgum Ivana 2020,

Automatic brain tissue segmentation in fetal MRI using convolutional neural networks

Khalili N., Lessmann N., Turk E., Claessens N., de Heus R., Kolk T., Viergever M. A., Benders M. J. N. L., Isgum I. dec 2019, In: Magnetic Resonance Imaging. 64 , p. 77-89 13 p.

All Research Output (159)