3 papers
eess.IV2020
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…
eess.IV2020
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…
eess.IV2020
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…