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researcher

Ž. Špiclin

7 papers hereh-index 191.4k citations101 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • eess.IV5
  • cs.CV2

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedQUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

5 citations · 6 across the 5 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

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★ 1 cited

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…

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