Ivana Isgum

Full Professor, ACS - Atherosclerosis & Ischemic Syndromes Full Professor, ACS - Heart Failure & Arrhythmias Full Professor, ANS - Brain Imaging Full Professor, APH - Digital Health Affiliatie UvA Full Professor, Biomedical Engineering and Physics Full Professor, Radiology and nuclear medicine

Specialization

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
Latest publications

Ivana Isgum

Specialization

Focus of research

Automatic segmentation of MR brain images of preterm infants using supervised classification

Generative adversarial networks for noise reduction in low-dose CT

Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis

Competing risk analysis of cardiovascular disease risk in breast cancer patients receiving a radiation boost

ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging

Low muscle quality on a procedural computed tomography scan assessed with deep learning as a practical useful predictor of mortality in patients with severe aortic valve stenosis

Ivana Isgum

Specialization

Focus of research

Automatic segmentation of MR brain images of preterm infants using supervised classification

Generative adversarial networks for noise reduction in low-dose CT

Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis

Competing risk analysis of cardiovascular disease risk in breast cancer patients receiving a radiation boost

ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging

Low muscle quality on a procedural computed tomography scan assessed with deep learning as a practical useful predictor of mortality in patients with severe aortic valve stenosis

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