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Objave za člana 'Žiga Bizjak'

Prispevki na konferencah

June H. Choi, Žiga Bizjak, Wonhyoung Park, Jannik Sobisch, Žiga Špiclin

Deep shape based intracranial aneurysm rupture prediction

SPIE Medical Imaging 2024: Computer-Aided Diagnosis, Feb 18-22, San Diego, CA, USA (W. Chen, S.M. Astley, Eds.), 12927:129272I, 2024

Izvirni znanstveni članki

Žiga Bizjak, Žiga Špiclin

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

Biomedicines, 11(11):2921, 2023

JCR faktor vpliva: 4,7 (2022) -- Najboljša kategorija (angl.): 68/278 pharmacology & pharmacy -- Kvartil: 1

Izvirni znanstveni članki

Žiga Bizjak, June Ho Choi, Wonhyoung Park, Franjo Pernuš, Žiga Špiclin

Deep geometric learning for intracranial aneurysm detection: towards expert rater performance

Journal of Neurointerventional Surgery, 2023

JCR faktor vpliva: 4,9 (2022) -- Najboljša kategorija (angl.): 2/14 neuroimaging -- Kvartil: 1

Povzetki prispevkov na konferencah

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

Izvirni znanstveni članki

Aichi Chien, Žiga Špiclin, Žiga Bizjak, Kambiz Nael

Computer-assisted aneurysm growth evaluation and detection (AGED): comparison with clinical aneurysm follow-up

Journal of Blood Disorders & Transfusion, 13(8):1000517, 2022

Prispevki na konferencah

Jannik Sobisch, Žiga Bizjak, Aichi Chien, Žiga Špiclin

Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context

1st International Workshop on Geometric Deep Learning in Medical Image Analysis - GeoMedIA 2022, Nov 18, Amsterdam, the Netherlands, Proceedings of Machine Learning Research 194:34-44, 2022

Prispevki na konferencah

Žiga Bizjak, June Ho Choi, Wonhyoung Park, Žiga Špiclin

Deep learning based modality-independent intracranial aneurysm detection

25th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, Sep 18-22, Singapore (L. Wang et al., Eds.), Lecture Notes in Computer Science 13433:760-769, 2022

Prispevki na konferencah

Žiga Bizjak, Aichi Chien, Iza Burnik, Žiga Špiclin

Novel dataset and evaluation of state-of-the-art vessel segmentation methods

SPIE Medical Imaging 2022: Image Processing, Feb 20-24, San Diego, CA, USA (I. Išgum, O. Colliot, Eds.), 12032:120322X, 2022

Izvirni znanstveni članki

Žiga Bizjak, Franjo Pernuš, Žiga Špiclin

Deep shape features for predicting future intracranial aneurysm growth

Frontiers in Physiology, 12:644349, 2021

JCR faktor vpliva: 4,755 (2021) -- Najboljša kategorija (angl.): 20/81 physiology -- Kvartil: 1

Izvirni znanstveni članki

Žiga Bizjak, Žiga Špiclin

Napovedovanje prihodnje rasti intrakranialnih anevrizem

Elektrotehniški vestnik - Electrotechnical Review, 88(3):136-140, 2021

Prispevki na konferencah

Žiga Bizjak, Boštjan Likar, Franjo Pernuš, Žiga Špiclin

Modality agnostic intracranial aneurysm detection through supervised vascular surface classification

SPIE Medical Imaging 2021: Computer-Aided Diagnosis, Feb 15-20 (A. M. Mazurowski, K. Drukker, Eds.), 11597:115970O, 2021

Prispevki na konferencah

Žiga Bizjak, Boštjan Likar, Franjo Pernuš, Žiga Špiclin

Vascular surface segmentation for intracranial aneurysm isolation and quantification

23rd International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, Oct 4-8, Lima, Peru (A. L. Martel et al., Eds.), Lecture Notes in Computer Science 12266:128-137, 2020

Prispevki na konferencah

Žiga Bizjak, Tim Jerman, Boštjan Likar, Franjo Pernuš, Aichi Chien, Žiga Špiclin

Registration based detection and quantification of intracranial aneurysm growth

SPIE Medical Imaging 2019: Computer-Aided Diagnosis, Feb 16-21, San Diego, CA, USA (K. Mori, H. K. Hahn, Eds.), 10950:1095007, 2019

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