Žiga Špiclin

Assoc. Prof.
Žiga Špiclin, Ph.D.

Associate 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

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

Position

2015 -- 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)

Activities

2008 -- present
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.)

Last Publications

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 ]
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, 2023 [doi:10.1136/jnis-2023-020905 ]
2023
Lara Dular, Gregor Brecl Jakob, Lina Savšek, Jožef Magdič, Bojan Rojc, Žiga Špiclin: Napovedovanje kliničnega poteka multiple skleroze iz magnetnoresonančnih slik: predhodni rezultati raziskave. Medicinski razgledi, 62(suppl. 1):51-57, 2023 [https://medrazgl.si/ ]
2022
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 ]
2022
Leon Jarabek, Jan Jamšek, Anka Cuderman, Sebastijan Rep, Marko Hočevar, Tomaž Kocjan, Mojca Jensterle Sever, Žiga Špiclin, Žiga Maček Ležaić, Filip Cvetko, Luka Ležaič: Detection and localization of hyperfunctioning parathyroid glands on [18F]fluorocholine PET/CT using deep learning - model performance and comparison to human experts. Radiology and Oncology, 56(4):440-452, 2022 [doi:10.2478/raon-2022-0037 ]