Peer-Reviewed Publication
Med Image Anal2026;115104324.September 17, 2026Journal Article
Automatic segmentation and modeling of the aortic vessel tree: Overview of the SEG.A 2023 aorta segmentation challenge.
Yuan Jin1, Antonio Pepe2, Gian Marco Melito3, Yuxuan Chen4, Gege Ma5, Yunsu Byeon6, Hyeseong Kim7, Kyungwon Kim6, Doohyun Park6, Euijoon Choi8, Dosik Hwang9, Andriy Myronenko10, Dong Yang10, Yufan He10, Daguang Xu10, Ayman El-Ghotni11, Mohamed Nabil11, Hossam El-Kady11, Ahmed Ayyad11, Amr Nasr11, Marek Wodzinski12, Henning Müller13, Hyeongyu Kim6, Yejee Shin14, Abbas Khan15, Muhammad Asad15, Alexander Zolotarev16, Caroline Roney16, Anthony Mathur17, Martin Benning18, Gregory Slabaugh15, Theodoros Panagiotis Vagenas19, Konstantinos Georgas19, George K Matsopoulos19, Jihan Zhang20, Zhen Zhang21, Liqin Huang21, Christian Mayer22, Heinrich Mächler22, Jan Egger23
1Zhejiang Lab, Hangzhou, 311100, Zhejiang, China; Institute for Artificial Intelligence (AI) in Medicine (IKIM), University Medicine Essen (AöR), Girardetstr. 2, Essen, 45131, NRW, Germany; Institute of Computer Graphics and Vision (ICG), Graz University of Technology, Inffeldgasse 16/II, Graz, 8010, Styria, Austria. Electronic address: jin@student.tugraz.at.
2Institute of Computer Graphics and Vision (ICG), Graz University of Technology, Inffeldgasse 16/II, Graz, 8010, Styria, Austria. Electronic address: antonio.pepe@student.tugraz.at.
3Institute of Mechanics (IFM), Graz University of Technology, Kopernikusgasse 24/IV, Graz, 8010, Styria, Austria.
4Zhejiang Lab, Hangzhou, 311100, Zhejiang, China; Soft Science Laboratory of Zhejiang Province, Hangzhou, Zhejiang, China.
5School of Intelligent Science and Technology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, Zhejiang, China.
6School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea.
7School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea; Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology, Seoul, Republic of Korea.
8Department of Artificial Intelligence, Yonsei University, Seoul, Republic of Korea.
9School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea; Artificial Intelligence and Robotics Institute, Korea Institute of Science and Technology, Seoul, Republic of Korea; Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea; Department of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea.
10NVIDIA, Santa Clara, CA, United States.
11Brightskies Inc., Alexandria, Egypt.
12Department of Measurement and Electronics, AGH University of Krakow, Krakow, Poland; Institute of Informatics, University of Applied Sciences Western Switzerland, Sierre, Switzerland.
13Institute of Informatics, University of Applied Sciences Western Switzerland, Sierre, Switzerland; Medical Faculty, University of Geneva, Geneva, Switzerland.
14School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea; Probe Medical, Seoul, Republic of Korea.
15Digital Environment Research Institute (DERI), Queen Mary University of London, UK.
16Digital Environment Research Institute (DERI), Queen Mary University of London, UK; School of Engineering and Materials Science, Queen Mary University of London, UK.
17Barts Heart Centre, Barts Health NHS Trust, UK; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, UK; NIHR Barts Biomedical Research Centre, Queen Mary University of London, UK.
18Department of Computer Science, University College London, UK.
19Biomedical Engineering Lab (BEL), School of Electrical and Computer Engineering, National Technical University of Athens, Athens, 15780, Greece.
20College of Computer and Data Science, Fuzhou University, Fuzhou, 350108, Fujian, China.
21Intelligent Image Processing and Analysis Laboratory, Fuzhou University, Fuzhou, 350108, Fujian, China.
22Division of Cardiac Surgery, Department of Surgery, Medical University of Graz, Graz, 8036, Styria, Austria.
23Institute for Artificial Intelligence (AI) in Medicine (IKIM), University Medicine Essen (AöR), Girardetstr. 2, Essen, 45131, NRW, Germany; Institute of Computer Graphics and Vision (ICG), Graz University of Technology, Inffeldgasse 16/II, Graz, 8010, Styria, Austria; Cancer Research Center Cologne Essen (CCCE), University Medicine Essen (AöR), Essen, 45147, NRW, Germany; Center for Virtual and Extended Reality in Medicine (ZvRM), University Medicine Essen (AöR), Essen, 45147, NRW, Germany; Faculty of Computer Science, University of Duisburg-Essen (UDE), Essen, 45127, NRW, Germany. Electronic address: jan.egger@uk-essen.de.
Abstract
The automated analysis of the aortic vessel tree (AVT) from computed tomography angiography (CTA) is crucial for clinical applications but lacks shared, high-quality data. To address this, we launched the SEG.A. challenge, introducing a large, public, multi-institutional dataset for AVT segmentation and benchmarking automated algorithms. The challenge results showed a strong trend toward deep lear…
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