19 citations · 20 across the 4 of their papers we have counts for
6 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…
Personalized 3D Myocardial Infarct Geometry Reconstruction from Cine MRI with Explicit Cardiac Motion Modeling
Yilin Lyu, Fan Yang, Xiaoyue Liu +9
Accurate representation of myocardial infarct geometry is crucial for patient-specific cardiac modeling in MI patients. While Late gadolinium enhancement (LGE) MRI is the clinical…
Cardiac Digital Twins at Scale from MRI: Open Tools and Representative Models from ~55000 UK Biobank Participants
Devran Ugurlu, Shuang Qian, Elliot Fairweather +10
A cardiac digital twin is a virtual replica of a patient's heart for screening, diagnosis, prognosis, risk assessment, and treatment planning of cardiovascular diseases. This requi…
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…
Non-invasive hemodynamic analysis for aortic regurgitation using computational fluid dynamics and deep learning
Derek Long, Cameron McMurdo, Edward Ferdian +4
Changes in cardiovascular hemodynamics are closely related to the development of aortic regurgitation, a type of valvular heart disease. Metrics derived from blood flows are used t…
Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis
Avan Suinesiaputra, Charlene A Mauger, Bharath Ambale-Venkatesh +9
The shape and motion of the heart provide essential clues to understanding the mechanisms of cardiovascular disease. With the advent of large-scale cardiac imaging data, statistica…