collaborators

7 papers

cs.CV2026

Personalized 4D Whole-Heart Mesh Reconstruction from Cine MRI via Multi-Scale Temporal Modeling and Differentiable Contour Rendering

Xiaoyue Liu, Dongcheng Cang, Xiaohan Yuan +3

Accurate 4D whole-heart mesh reconstruction from sparse cine MRI is critical for creating cardiac digital twins, but remains challenging due to limited 2D slice coverage and the co…

cs.CV2026

Echo4DIR: 4D Implicit Heart Reconstruction from 2D Echocardiography Videos

Yanan Liu, Qinya Li, Hao Zhang +5

Reconstructing 4D (3D+t) cardiac geometry from sparse 2D echocardiography is highly desirable yet fundamentally challenged by geometric ambiguity and temporal discontinuity. To tac…

cs.CV2026

Physiology and Anatomy Aware Inverse Inference of Myocardial Infarction for Cardiac Digital Twin

Mengxiao Wang, Yilin Lyu, Julia Camps +6

Accurate localization of myocardial infarction is essential for risk stratification. While LGE-MRI remains the gold standard, it is resource-intensive. Integrating cine MRI with EC…

cs.CV2026

RePCM: Region-Specific and Phenotype-Adaptive Bi-Ventricular Cardiac Motion Synthesis

Xuan Yang, Xiaohan Yuan, Hao Li +3

Cardiac motion over a cardiac cycle is crucial for quantifying regional function and is strongly affected by cardiovascular diseases. Since temporally dense mesh sequences are diff…

cs.CV2026

CineMesh4D: Personalized 4D Whole Heart Reconstruction from Sparse Cine MRI

Xiaoyue Liu, Xiaohan Yuan, Mark Y Chan +2

Accurate 3D+t whole-heart mesh reconstruction from cine MRI is a clinically crucial yet technically challenging task. The difficulty of this task arises from two coupled factors: i…

eess.IV2025

Personalized 4D Whole Heart Geometry Reconstruction from Cine MRI for Cardiac Digital Twins

Xiaoyue Liu, Xicheng Sheng, Xiahai Zhuang +4

Cardiac digital twins (CDTs) provide personalized in-silico cardiac representations and hold great potential for precision medicine in cardiology. However, whole-heart CDT models t…