Multi-class Segmentation of the Aorta AortaSeg 2024 Challenge, Held in Conjunction with MICCAI 2024, Virtual Event, October 24, 2024, Proceedings

.- Multi-Class Segmentation of Aortic Branches and Zones in CTA

.- Coarse-to-Fine Aortic Segmentation on CTA Using a Two-Stage nnUNet-Based Framework.



.- Hierarchical Semantic Learning for Multi-Class Aorta Segmentation.



.- U-Net-Based Segmentation of Aortic Branches and Zones in CTA Scans.



.- Anatomically Guided Two-Stage 3D Aorta Segmentation in CT Angiography.



.- Combining Region-Based and Topological Losses in the nnU-Net Framework for Advanced Aorta Segmentation.



.- Data-Centric Multiclass Aortic Segmentation: Revisiting Classical Architectures in Low-Data Regimes.



.- AortaST: A Student-Teacher Framework for Multi-Class Aortic Segmentation.



.- Accurate and Efficient Multi-Class Segmentation for Aortic Branches and Zones in CTA.



.- Application of nnUNet for Multi-Class Segmentation of Aortic Branches and Zones in CTA.



.- A Mamba-Based Method with Gated Attention for Human Aorta Segmentation.