From the 1 of 4 linked papers with an AI index.
4 papers
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…
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…
UltraTwin: Towards Cardiac Anatomical Twin Generation from Multi-view 2D Ultrasound
Junxuan Yu, Yaofei Duan, Yuhao Huang +22
Echocardiography is routine for cardiac examination. However, 2D ultrasound (US) struggles with accurate metric calculation and direct observation of 3D cardiac structures. Moreove…
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…