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Ziga Bizjak
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2020 – today
- 2022
- [c6]Jannik Sobisch, Ziga Bizjak, Aichi Chien, Ziga Spiclin:
Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context. GeoMedIA 2022: 34-44 - [c5]Ziga Bizjak, June Ho Choi, Won-Hyoung Park, Ziga Spiclin:
Deep Learning Based Modality-Independent Intracranial Aneurysm Detection. MICCAI (3) 2022: 760-769 - [c4]Ziga Bizjak, Aichi Chien, Iza Burnik, Ziga Spiclin:
Novel dataset and evaluation of state-of-the-art vessel segmentation methods. Medical Imaging: Image Processing 2022 - 2021
- [c3]Ziga Bizjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin:
Modality agnostic intracranial aneurysm detection through supervised vascular surface classification. Medical Imaging: Computer-Aided Diagnosis 2021 - 2020
- [c2]Ziga Bizjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin:
Vascular Surface Segmentation for Intracranial Aneurysm Isolation and Quantification. MICCAI (6) 2020: 128-137
2010 – 2019
- 2019
- [c1]Ziga Bizjak, Tim Jerman, Bostjan Likar, Franjo Pernus, Aichi Chien, Ziga Spiclin:
Registration based detection and quantification of intracranial aneurysm growth. Medical Imaging: Computer-Aided Diagnosis 2019: 1095007
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last updated on 2024-04-25 02:06 CEST by the dblp team
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