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

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

Associate Professor (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Assistant Professor (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Lecturer (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Visiting researcher at the Laboratory for Computer Aided Medical Procedures - CAMP (Technical University Munich, Germany)

Teaching assistant (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Postdoc student (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Visiting researcher at the Computational Radiology Laboratory - CRL (Department of Radiology, Children's Hospital Boston, MA, USA)

Junior researcher at the Laboratory of Imaging Technologies (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Student award for academic achievements (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Reviewer for international journals (e.g. IEEE TMI, IEEE TBME, IEEE TIP, IEEE TPAMI, IEEE JBHI, IEEE Access, MedIA, IJCARS, Scientific Reports, Plos One, PMB, MedPhys, NeuroInformatics, etc.) and international conferences (e.g. MICCAI, WBIR, MIDL, IEEE ISBI, etc.)

Lara Dular, Žiga Špiclin: BASE: brain age standardized evaluation. NeuroImage, 285:120469, 2024 [doi:10.1016/j.neuroimage.2023.120469 ]

Lara Dular, Franjo Pernuš, Žiga Špiclin: Extensive T1-weighted MRI preprocessing improves generalizability of deep brain age prediction models. Computers in Biology and Medicine, 173:108320, 2024 [doi:10.1016/j.compbiomed.2024.108320 ]

Maj Jožef, Igor Locatelli, Gregor Brecl Jakob, Lina Savšek, Katarina Šurlan Popovič, Žiga Špiclin, Uroš Rot, Mitja Kos: Psychometric evaluation of the 5-item Medication Adherence Report Scale questionnaire in persons with multiple sclerosis. PLoS One, 19(3):e0294116, 2024 [doi:10.1371/journal.pone.0294116 ]

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 ]