2 citations · 2 across the 3 of their papers we have counts for
4 papers
Neural Implicit Heart Coordinates: 3D cardiac shape reconstruction from sparse segmentations
Marica Muffoletto, Uxio Hermida, Charlène Mauger +8
Accurate reconstruction of cardiac anatomy from sparse clinical images remains a major challenge in patient-specific modeling. While neural implicit functions have previously been…
MorphiNet: A Graph Subdivision Network for Adaptive Bi-ventricle Surface Reconstruction
Yu Deng, Yiyang Xu, Linglong Qian +10
Cardiac Magnetic Resonance (CMR) imaging is widely used for heart model reconstruction and digital twin computational analysis because of its ability to visualize soft tissues and…
Improving the Scan-rescan Precision of AI-based CMR Biomarker Estimation
Dewmini Hasara Wickremasinghe, Yiyang Xu, Esther Puyol-Antón +3
Quantification of cardiac biomarkers from cine cardiovascular magnetic resonance (CMR) data using deep learning (DL) methods offers many advantages, such as increased accuracy and…
Improved 3D Whole Heart Geometry from Sparse CMR Slices
Yiyang Xu, Hao Xu, Matthew Sinclair +6
Cardiac magnetic resonance (CMR) imaging and computed tomography (CT) are two common non-invasive imaging methods for assessing patients with cardiovascular disease. CMR typically…