PhD in Electrical Enginnering (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

MSc in Electrical Enginnering (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Researcher and teaching assistant at the Laboratory of Imaging Technologies (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Žiga Bizjak, Žiga Špiclin: A systematic review of deep-learning methods for intracranial aneurysm detection in CT angiography. Biomedicines, 11(11):2921, 2023 [doi:10.3390/biomedicines11112921 ]

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 [doi:10.1136/jnis-2023-020905 ]

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 [doi:10.4172/2155-9864.22.13.51 ]

Žiga Bizjak, Franjo Pernuš, Žiga Špiclin: Deep shape features for predicting future intracranial aneurysm growth. Frontiers in Physiology, 12:644349, 2021 [doi:10.3389/fphys.2021.644349 ]

Žiga Bizjak, Žiga Špiclin: Napovedovanje prihodnje rasti intrakranialnih anevrizem. Elektrotehniški vestnik - Electrotechnical Review, 88(3):136-140, 2021 [https://ev.fe.uni-lj.si/online.php?vol=88 ]