4 papers
L-SR1: Learned Symmetric-Rank-One Preconditioning
Gal Lifshitz, Shahar Zuler, Ori Fouks +1
End-to-end deep learning has achieved impressive results but often relies on large labeled datasets, exhibits limited generalization to unseen scenarios, and incurs substantial com…
Systole-Conditioned Generative Cardiac Motion
Shahar Zuler, Gal Lifshitz, Hadar Averbuch-Elor +1
Accurate motion estimation in cardiac computed tomography (CT) imaging is critical for assessing cardiac function and surgical planning. Data-driven methods have become the standar…
CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights
Shahar Zuler, Shai Tejman-Yarden, Dan Raviv
The ability to map left ventricle (LV) myocardial motion using computed tomography angiography (CTA) is essential to diagnosing cardiovascular conditions and guiding interventional…
Synthetic Data Generation for 3D Myocardium Deformation Analysis
Shahar Zuler, Dan Raviv
Accurate analysis of 3D myocardium deformation using high-resolution computerized tomography (CT) datasets with ground truth (GT) annotations is crucial for advancing cardiovascula…