2 citations · 5 across the 13 of their papers we have counts for
8 papers · 1 filter
Adapting Frozen Mono-modal Backbones for Multi-modal Registration via Contrast-Agnostic Instance Optimization
Yi Zhang, Yidong Zhao, Qian Tao
Deformable image registration remains a central challenge in medical image analysis, particularly under multi-modal scenarios where intensity distributions vary significantly acros…
Bridging Classical and Learning-based Iterative Registration through Deep Equilibrium Models
Yi Zhang, Yidong Zhao, Qian Tao
Deformable medical image registration is traditionally formulated as an optimization problem. While classical methods solve this problem iteratively, recent learning-based approach…
Physics-Informed Neural ODEs for Temporal Dynamics Modeling in Cardiac T1 Mapping
Nuno Capitão, Yi Zhang, Yidong Zhao +1
Spin-lattice relaxation time () is an important biomarker in cardiac parametric mapping for characterizing myocardial tissue and diagnosing cardiomyopathies. Conventional Modi…
Lost in Tracking: Uncertainty-guided Cardiac Cine MRI Segmentation at Right Ventricle Base
Yidong Zhao, Yi Zhang, Orlando Simonetti +2
Accurate biventricular segmentation of cardiac magnetic resonance (CMR) cine images is essential for the clinical evaluation of heart function. However, compared to left ventricle…
Deep-learning-based groupwise registration for motion correction of cardiac mapping
Yi Zhang, Yidong Zhao, Lu Huang +2
Quantitative mapping by MRI is an increasingly important tool for clinical assessment of cardiovascular diseases. The cardiac map is derived by fitting a known signal m…
Recurrent Inference Machine for Medical Image Registration
Yi Zhang, Yidong Zhao, Hui Xue +3
Image registration is essential for medical image applications where alignment of voxels across multiple images is needed for qualitative or quantitative analysis. With recent adva…