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Towards the Automatic Segmentation, Modeling and Meshing of the Aortic Vessel Tree from Multicenter Acquisitions: An Overview of the SEG.A. 2023 Segmentation of the Aorta Challenge

Fuente: arXiv

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Bibliographic Details
Main Authors:	Jin, Yuan, Pepe, Antonio, Melito, Gian Marco, Chen, Yuxuan, Byeon, Yunsu, Kim, Hyeseong, Kim, Kyungwon, Park, Doohyun, Choi, Euijoon, Hwang, Dosik, Myronenko, Andriy, Yang, Dong, He, Yufan, Xu, Daguang, El-Ghotni, Ayman, Nabil, Mohamed, El-Kady, Hossam, Ayyad, Ahmed, Nasr, Amr, Wodzinski, Marek, Müller, Henning, Kim, Hyeongyu, Shin, Yejee, Khan, Abbas, Asad, Muhammad, Zolotarev, Alexander, Roney, Caroline, Mathur, Anthony, Benning, Martin, Slabaugh, Gregory, Vagenas, Theodoros Panagiotis, Georgas, Konstantinos, Matsopoulos, George K., Zhang, Jihan, Zhang, Zhen, Huang, Liqin, Mayer, Christian, Mächler, Heinrich, Egger, Jan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2510.24009