Jannik Sobisch

1. SOBISCH, Jannik, BIZJAK, Žiga, CHIEN, Aichi, ŠPICLIN, Žiga. Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context. In: BEKKERS, Erik (ed.), WOLTERINK, Jelmer M. (ed.), AVILES-RIVERO, Angelica (ed.). Geometric deep learning in medical image analysis : 18 November 2022, Amsterdam, The Netherlands : [proceedings of the First International Workshop on Geometric Deep Learning in Medical Image Analysis]. [S. l.]: ML Research Press, cop. 2023. Str. 34-44, ilustr. Proceedings of Machine Learning Research, vol. 194. ISSN 2640-3498. https://proceedings.mlr.press/v194/sobisch22a.html. [COBISS.SI-ID 148402691]

2. CHOI, June Ho, BIZJAK, Žiga, PARK, Wonhyoung, SOBISCH, Jannik, ŠPICLIN, Žiga. Deep shape based intracranial aneurysm rupture prediction. In: CHEN, Weijie (ed.), ASTLEY, Susan M. (ed.). Medical imaging 2024 : computer-aided diagnosis : 19-22 February 2024 San Diego, California, United States. Bellingham: SPIE, cop. 2024. 8 str., ilustr. Proceedings of SPIE, the international society for optical engineering, vol. 12927, Progress in biomedical optics and imaging (Online), vol. 25, no. 51. ISBN 978-1-51-067159-1. ISSN 1996-756X, ISSN 2410-9045. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12927/3007178/Deep-shape-based-intracranial-aneurysm-rupture-prediction/10.1117/12.3007178.short, DOI: 10.1117/12.3007178. [COBISS.SI-ID 194163459]

3. CHOI, June Ho, SOBISCH, Jannik, KIM, Minwoo, PARK, Jung Cheol, AHN, Jae Sung, KWUN, Byung Duk, ŠPICLIN, Žiga, BIZJAK, Žiga, PARK, Wonhyoung. Prediction of intracranial aneurysm rupture from computed tomography angiography using an automated artificial intelligence framework. Computers in biology and medicine. Oct. 2025, vol. 197, part a, [article no.] 110965, 8 str., ilustr. ISSN 1879-0534. https://www.sciencedirect.com/science/article/pii/S0010482525013174, Repository of the University of Ljubljana – RUL , DOI: 10.1016/j.compbiomed.2025.110965. [COBISS.SI-ID 252732419]