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dr. I. (Ivana) Isgum Associate Professor

  • Image Sciences Institute

I. Isgum

Contact

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 (93)

Etidronate halts systemic arterial calcification in pseudoxanthoma elasticum

Bartstra Jonas W., de Jong Pim A., Kranenburg Guido, Wolterink Jelmer M., Isgum Ivana, Wijsman Alayna, Wolf Bas, den Harder Annemarie M., Mali Willem P.Th M., Spiering Wilko 11 okt 2019, In: Atherosclerosis. 292 , p. 37-41 5 p.

Machine learning in cardiovascular magnetic resonance:basic concepts and applications

Leiner Tim, Rueckert Daniel, Suinesiaputra Avan, Baeßler Bettina, Nezafat Reza, Išgum Ivana, Young Alistair A 7 okt 2019, In: Journal of Cardiovascular Magnetic Resonance. 21

Knowledge-based and deep learning-based automated chest wall segmentation in magnetic resonance images of extremely dense breasts

Verburg Erik, Wolterink Jelmer M., de Waard Stephanie N., Išgum Ivana, van Gils Carla H., Veldhuis Wouter B., Gilhuijs Kenneth G.A. 1 okt 2019, In: Medical Physics. 46 , p. 4405-4416 12 p.

Enhancing cardiovascular artificial intelligence (AI) research in the Netherlands:CVON-AI consortium

Benjamins J. W., van Leeuwen K., Hofstra L., Rienstra M., Appelman Y., Nijhof W., Verlaat B., Everts I., den Ruijter H. M., Isgum I., Leiner T., Vliegenthart R., Asselbergs F. W., Juarez-Orozco L. E., van der Harst P. 1 sep 2019, In: Netherlands Heart Journal. 27 , p. 414-425 12 p.

State-of-the-Art Deep Learning in Cardiovascular Image Analysis

Litjens G., Ciompi Francesco, Wolterink Jelmer M., de Vos B. D., Leiner Tim, Teuwen J., Išgum I. 1 aug 2019, In: JACC: Cardiovascular Imaging. 12 , p. 1549-1565 17 p.

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

Emaus Marleen J, Išgum Ivana, van Velzen Sanne G M, van den Bongard H J G Desirée, Gernaat Sofie A M, Lessmann Nikolas, Sattler Margriet G A, Teske Arco J, Penninkhof Joan, Meijer Hanneke, Pignol Jean-Philippe, Verkooijen Helena M, 1 jul 2019, In: BMJ Open. 9

Iterative fully convolutional neural networks for automatic vertebra segmentation and identification

Lessmann Nikolas, van Ginneken Bram, de Jong Pim A., Išgum Ivana 1 apr 2019, In: Medical Image Analysis. 53 , p. 142-155 14 p.

A deep learning framework for unsupervised affine and deformable image registration

de Vos Bob D., Berendsen Floris F., Viergever Max A., Sokooti Hessam, Staring Marius, Išgum Ivana 1 feb 2019, In: Medical Image Analysis. 52 , p. 128-143 16 p.

Sex Differences in Coronary Artery and Thoracic Aorta Calcification and Their Association With Cardiovascular Mortality in Heavy Smokers

Lessmann Nikolas, de Jong Pim A, Celeng Csilla, Takx Richard A P, Viergever Max A, van Ginneken Bram, Išgum Ivana 16 jan 2019, In: JACC. Cardiovascular imaging. 12 , p. 1808-1817 10 p.

Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier

Wolterink Jelmer M., Hamersvelt Robbert W.van, Viergever Max A., Leiner Tim, Išgum Ivana 1 jan 2019, In: Medical Image Analysis. 51 , p. 46-60 15 p.

All Research Output (93)
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