PhD student at the Laboratory of Imaging Technologies (University of Ljubljana, Faculty of Electrical Enginnering, Slovenia)

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 ]

Jaden Myers, Jannik Sobisch, Julian Ziegler, Mirco Fuchs, Žiga Špiclin, Žiga Bizjak: Differentiable endpoint connectivity loss (DECL) for topological connectivity in 2D retinal vessel segmentation. SPIE Medical Imaging 2026: Image Processing, Feb 15-19, Vancouver, BC, Canada (J. Mitra, Y. Gan, Eds.), 13925:139251M, 2026 [doi:10.1117/12.3085790 ]

June H. Choi, Žiga Bizjak, Wonhyoung Park, Jannik Sobisch, Žiga Špiclin: Deep shape based intracranial aneurysm rupture prediction. SPIE Medical Imaging 2024: Computer-Aided Diagnosis, Feb 18-22, San Diego, CA, USA (W. Chen, S.M. Astley, Eds.), 12927:129272I, 2024 [doi:10.1117/12.3007178 ] [COBISS-ID:194163459 ]

Jannik Sobisch, Žiga Bizjak, Aichi Chien, Žiga Špiclin: Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context. 1st International Workshop on Geometric Deep Learning in Medical Image Analysis - GeoMedIA 2022, Nov 18, Amsterdam, the Netherlands, Proceedings of Machine Learning Research 194:34-44, 2022 [https://proceedings.mlr.press/v194/sobisch22a.html ] [COBISS-ID:148402691 ]