5 citations · 6 across the 5 of their papers we have counts for
7 papers
Automated Fetal Brain MRI Biometry in Healthy and Pathological Cases
Ema Masterl, Tina Vipotnik Vesnaver, Nejc Šubič +1
Automated biometric analysis of fetal brain MRI enables reproducible, observer-independent quantitative assessment, yet existing methods are often restricted to few measurements or…
Self-Supervised Multi-Stage Domain Unlearning for White-Matter Lesion Segmentation
Domen Preložnik, Žiga Špiclin
Inter-scanner variability of magnetic resonance imaging has an adverse impact on the diagnostic and prognostic quality of the scans and necessitates the development of models robus…
Robustness and Diagnostic Performance of Super-Resolution Fetal Brain MRI
Ema Masterl, Tina Vipotnik Vesnaver, Žiga Špiclin
Fetal brain MRI relies on rapid multi-view 2D slice acquisitions to reduce motion artifacts caused by fetal movement. However, these stacks are typically low resolution, may suffer…
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge
Hongwei Bran Li, Fernando Navarro, Ivan Ezhov +77
Uncertainty in medical image segmentation tasks, especially inter-rater variability, arising from differences in interpretations and annotations by various experts, presents a sign…
Modality agnostic intracranial aneurysm detection through supervised vascular surface classification
Žiga Bizjak, Boštjan Likar, Franjo Pernuš +1
Intracranial aneurysms (IAs) are generally asymptomatic and thus often discovered incidentally on angiographic scans like 3D DSA, CTA and MRA. Skilled radiologists achieved a sensi…
Vascular surface segmentation for intracranial aneurysm isolation and quantification
Žiga Bizjak, Boštjan Likar, Franjo Pernuš +1
Predicting rupture risk and deciding on optimal treatment plan for intracranial aneurysms (IAs) is possible by quantification of their size and shape. For this purpose the IA has t…
Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation
Stefan Denner, Ashkan Khakzar, Moiz Sajid +4
Segmentation of Multiple Sclerosis (MS) lesions in longitudinal brain MR scans is performed for monitoring the progression of MS lesions. We hypothesize that the spatio-temporal cu…