I. Isgum

Full Professor
Main activities
Education, Research
Medical Image Analysis
Focus of research

Artificial intelligence in imaging / cardiovascular:
Research is focused on development of AI methods for analysis of medical images to enable automatic patient risk profiling, diagnosis and prognosis, mainly applied to cardiovascular disease.

Key publications
  • de Vos Bob D., Berendsen Floris F., Viergever Max A., Sokooti Hessam, Staring Marius, Išgum Ivana A deep learning framework for unsupervised affine and deformable image registration Medical image analysis 2019;52:128-143 [PubMed]
  • Lessmann Nikolas, van Ginneken Bram, de Jong Pim A., Išgum Ivana Iterative fully convolutional neural networks for automatic vertebra segmentation and identification Medical image analysis 2019;53:142-155 [PubMed]
  • Zreik Majd, Lessmann Nikolas, van Hamersvelt Robbert W., Wolterink Jelmer M., Voskuil Michiel, Viergever Max A., Leiner Tim, Išgum Ivana Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis Medical image analysis 2018;44:72-85 [PubMed]
  • Wolterink Jelmer M., Leiner Tim, Viergever Max A., Išgum Ivana Generative adversarial networks for noise reduction in low-dose CT IEEE transactions on medical imaging 2017;36 (12):2536-2545 [PubMed]
  • Moeskops Pim, Benders Manon J. N. L., Chiţă Sabina M., Kersbergen Karina J., Groenendaal Floris, de Vries Linda S., Viergever Max A., Išgum Ivana Automatic segmentation of MR brain images of preterm infants using supervised classification NeuroImage 2015;118:628-641 [PubMed]
All Publications
Current research funding
  • AMC
  • Pie Medical Imaging B,V,
  • Technologiestichting STW