Žiga Bizjak

as.
dr. Žiga Bizjak

Asistent

Izobrazba

2024
Doktorat iz elektrotehniških znanosti (Univerza v Ljubljani, Fakulteta za elektrotehniko)
2019
Magisterij iz elektrotehnike (Univerza v Ljubljani, Fakulteta za elektrotehniko)

Zaposlitve

2019 -- danes
Raziskovalec in asistent v Laboratoriju za slikovne tehnologije (Univerza v Ljubljani, Fakulteta za elektrotehniko)

Zadnje objave

2024
Žiga Bizjak, Žiga Špiclin: Aneurysm growth evaluation and detection: a computer-assisted follow-up MRA analysis. Scientific Reports, 14:19609, 2024 [doi:10.1038/s41598-024-70453-z ] [COBISS-ID:208225283 ]
2024
Andrej Planinc, Nina Špegel, Zala Podobnik, Uroš Šinigoj, Petra Skubic, June Ho Choi, Wonhyoung Park, Tina Robič, Nika Tabor, Leon Jarabek, Žiga Špiclin, Žiga Bizjak: Assessing accuracy and consistency in intracranial aneurysm sizing: human expertise vs. artificial intelligence. Scientific Reports, 14:16080, 2024 [doi:10.1038/s41598-024-65825-4 ] [COBISS-ID:204579587 ]
2024
Žiga Bizjak, Tina Robič: DentAge: Deep learning for automated age prediction using panoramic dental X-ray images. Journal of Forensic Sciences, 2024 [doi:10.1111/1556-4029.15629 ] [COBISS-ID:208221955 ]
2023
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 ] [COBISS-ID:171325955 ]
2023
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, 020905, 2023 [doi:10.1136/jnis-2023-020905 ] [COBISS-ID:169460739 ]