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Recursive deformable pyramid network for unsupervised medical image registration
Complicated deformation problems are frequently encountered in medical image
registration tasks. Although various advanced registration models have been proposed …
registration tasks. Although various advanced registration models have been proposed …
Non-iterative coarse-to-fine transformer networks for joint affine and deformable image registration
Image registration is a fundamental requirement for medical image analysis. Deep
registration methods based on deep learning have been widely recognized for their …
registration methods based on deep learning have been widely recognized for their …
Progressive feedback residual attention network for cardiac magnetic resonance imaging super-resolution
D Qiu, Y Cheng, X Wang - IEEE Journal of Biomedical and …, 2023 - ieeexplore.ieee.org
Atrial fibrillation (AF) is an increasing medical burden worldwide, and its pathological
manifestations are atrial tissue remodeling and low-pressure atrial tissue fibrosis. Due to the …
manifestations are atrial tissue remodeling and low-pressure atrial tissue fibrosis. Due to the …
Self-distilled hierarchical network for unsupervised deformable image registration
S Zhou, B Hu, Z ** network with contextual fusion
Z Tan, L Zhang, Y Lv, Y Ma, H Lu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Pyramid-based deformation decomposition is a promising registration framework, which
gradually decomposes the deformation field into multi-resolution subfields for precise …
gradually decomposes the deformation field into multi-resolution subfields for precise …
ModeTv2: GPU-accelerated motion decomposition transformer for pairwise optimization in medical image registration
Deformable image registration plays a crucial role in medical imaging, aiding in disease
diagnosis and image-guided interventions. Traditional iterative methods are slow, while …
diagnosis and image-guided interventions. Traditional iterative methods are slow, while …
HGCMorph: joint discontinuity-preserving and pose-learning via GNN and capsule networks for deformable medical images registration
Z Yan, J Ji, J Ma, W Cao - Physics in Medicine & Biology, 2024 - iopscience.iop.org
Objective. This study aims to enhance medical image registration by addressing the
limitations of existing approaches that rely on spatial transformations through U-Net …
limitations of existing approaches that rely on spatial transformations through U-Net …