cardiac ct segmentation 1clinical validation 1human-in-the-loop annotation 1multicenter evaluation 1self-supervised learning 1
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cs.CV2026
A Unified Framework for Comprehensive Cardiac CT Segmentation and Phenotyping: Human-in-the-Loop Data Annotation, Vision Foundation Model Development, Multicenter Evaluation and Clinical Validation
Pooya Mohammadi Kazaj, Leo Fridolin Weber, Wen Xie +17
The paper introduces a unified system for segmenting and phenotyping cardiac structures in CT scans, combining human‑in‑the‑loop annotation, a CT augmentation method, and a self‑su…
cs.CV2026
Decoupled Single-Mask Annotation Noise Detection via Cross-Sectional Patch Self-Consistency
Yinheng Zhu, Xiaowei Xu
Vascular computed tomography datasets are commonly annotated only once per scan, yielding the pervasive yet under addressed problem of single mask annotation noise. Existing soluti…
cs.CV2025
AI-Enabled Accurate Non-Invasive Assessment of Pulmonary Hypertension Progression via Multi-Modal Echocardiography
Jiewen Yang, Taoran Huang, Shangwei Ding +9
Echocardiographers can detect pulmonary hypertension using Doppler echocardiography; however, accurately assessing its progression often proves challenging. Right heart catheteriza…