Papers in Journals

Žiga Bizjak, Žiga Špiclin

A systematic review of deep-learning methods for intracranial aneurysm detection in CT angiography

Biomedicines, 11(11):2921, 2023

JCR Impact Factor: 3.9 (2023) -- Best Category: 85/354 pharmacology & pharmacy -- Quartile: 1

• doi:10.3390/biomedicines11112921
• COBISS-ID:171325955
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• Open access

Abstracts in Conference Proceedings

Žiga Bizjak, Gregor Brecl Jakob, Žiga Špiclin

Design and validation of an autonomous nine hole peg test

9th Joint ECTRIMS-ACTRIMS meeting - MSMilan2023, Oct 11-13, Milan, Italy, Multiple Scleroris Journal 29(Suppl 3):752-753, 2023

• doi:10.1177/13524585231196195
• COBISS-ID:169609219
• PDF
• Open access