3 papers
eess.IV2025
Shape-aware Sampling Matters in the Modeling of Multi-Class Tubular Structures
Minghui Zhang, Yaoyu Liu, Xin You +2
Accurate multi-class tubular modeling is critical for precise lesion localization and optimal treatment planning. Deep learning methods enable automated shape modeling by prioritiz…
eess.IV2025
Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge
Muhammad Imran, Jonathan R. Krebs, Vishal Balaji Sivaraman +60
Multi-class segmentation of the aorta in computed tomography angiography (CTA) scans is essential for diagnosing and planning complex endovascular treatments for patients with aort…
eess.IV2024
AirMorph: Topology-Preserving Deep Learning for Pulmonary Airway Analysis
Minghui Zhang, Chenyu Li, Fangfang Xie +8
Accurate anatomical labeling and analysis of the pulmonary structure and its surrounding anatomy from thoracic CT is getting increasingly important for understanding the etilogy of…