cardiac ct segmentation 1clinical validation 1human-in-the-loop annotation 1multicenter evaluation 1self-supervised learning 1
From the 1 of 3 linked papers with an AI index.
3 papers
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.CV2025
multimodars: A Rust-powered toolkit for multi-modality cardiac image fusion and registration
Anselm W. Stark, Marc Ilic, Ali Mokhtari +3
Combining complementary imaging modalities is critical to build reliable 3D coronary models: intravascular imaging gives sub-millimetre resolution but limited whole-vessel context,…
eess.IV2025
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image Segmentation
Pooya Mohammadi Kazaj, Giovanni Baj, Yazdan Salimi +7
While numerous architectures for medical image segmentation have been proposed, achieving competitive performance with state-of-the-art models networks such as nnUNet, still leave…