Abstract is missing.
- Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA)Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Hüllebrand, Jan Brüning, Tabea Kossen, Boris Pfahringer, Jens Schaller, Andreas Spuler, Titus Kühne, Anja Hennemuth. 3-17 [doi]
- CADA: Clinical Background and MotivationAndreas Spuler, Leonid Goubergrits. 21-28 [doi]
- Deep Learning-Based 3D U-Net Cerebral Aneurysm DetectionMatthias Ivantsits, Jan-Martin Kuhnigk, Markus Hüllebrand, Titus Kühne, Anja Hennemuth. 31-38 [doi]
- Detect and Identify Aneurysms Based on Adjusted 3D Attention UNetYizhuan Jia, Weibin Liao, Yi Lv, Ziyu Su, Jiaqi Dou, Zhongwei Sun, Xuesong Li. 39-48 [doi]
- Aν-Net: Automatic Detection and Segmentation of AneurysmSuprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Bjoern H. Menze. 51-57 [doi]
- 3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation ChallengeZiyu Su, Yizhuan Jia, Weibin Liao, Yi Lv, Jiaqi Dou, Zhongwei Sun, Xuesong Li. 58-67 [doi]
- Exploring Large Context for Cerebral Aneurysm SegmentationJun Ma, Ziwei Nie. 68-72 [doi]
- CADA Challenge: Rupture Risk Assessment Using Computational Fluid DynamicsKartik Jain. 75-86 [doi]
- Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural NetworkYanfei Liu, Yunqiao Yang, Yi Lin, Yuexiang Li, Dong Wei 0004, Kai Ma 0002, Yefeng Zheng. 87-92 [doi]
- Intracranial Aneurysm Rupture Risk Estimation Utilizing Vessel-Graphs and Machine LearningMatthias Ivantsits, Markus Hüllebrand, Sebastian Kelle, Titus Kühne, Anja Hennemuth. 93-103 [doi]
- Intracranial Aneurysm Rupture Prediction with Computational Fluid Dynamics Point CloudsMatthias Ivantsits, Leonid Goubergrits, Jan Brüning, Andreas Spuler, Anja Hennemuth. 104-112 [doi]