Žiga Špiclin

Prof.
Žiga Špiclin, Ph.D.

Full Professor

Education

2011
PhD in Electrical Enginnering (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)
2006
BSc in Electrical Enginnering (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Habilitation

2025
Full Professor (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)
2020
Associate Professor (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)
2015
Assistant Professor (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Position

2018 -- present
Lecturer (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)
2019
Visiting researcher at the Laboratory for Computer Aided Medical Procedures - CAMP (Technical University Munich, Germany)
2013 -- 2018
Teaching assistant (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)
2011 -- 2013
Postdoc student (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)
2008
Visiting researcher at the Computational Radiology Laboratory - CRL (Department of Radiology, Children's Hospital Boston, MA, USA)
2006 -- 2011
Junior researcher at the Laboratory of Imaging Technologies (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

Last Publications

2026
Vladyslav Zalevskyi, ..., Domen Preložnik, Žiga Špiclin, et al.: Advances in automated fetal brain MRI segmentation and biometry: insights from the FeTA 2024 challenge. Medical Image Analysis, 109:103941, 2026 [doi:10.1016/j.media.2026.103941 ] [COBISS-ID:265974787 ]
2026
Domen Preložnik, Žiga Špiclin: Cross-modality white matter lesion segmentation by modality de-indentification. Pattern Recognition Letters, 199:120-127, 2026 [doi:10.1016/j.patrec.2025.11.020 ] [COBISS-ID:257288963 ]
2025
June Ho Choi, Jannik Sobisch, Minwoo Kim, Jung Cheol Park, Jae Sung Ahn, Byung Duk Kwun, Žiga Špiclin, Žiga Bizjak, Wonhyoung Park: Prediction of intracranial aneurysm rupture from computed tomography angiography using an automated artificial intelligence framework. Computers in Biology and Medicine, 197, Part A:110965, 2025 [doi:10.1016/j.compbiomed.2025.110965 ] [COBISS-ID:252732419 ]
2024
Lara Dular, Žiga Špiclin: Analysis of brain age gap across subject cohorts and prediction model architectures. Biomedicines, 12(9):2139, 2024 [doi:10.3390/biomedicines12092139 ] [COBISS-ID:208778243 ]
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 ]