H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration
This paper introduces a novel top-down representation approach for deformable image
registration which estimates the deformation field by capturing various short-and long-range …
registration which estimates the deformation field by capturing various short-and long-range …
From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review
A Reithmeir, V Spieker, V Sideri-Lampretsa… - ar**
tools that allow for the comparison of individual patient data to reference data has a high …
tools that allow for the comparison of individual patient data to reference data has a high …
MUsculo-Skeleton-Aware (MUSA) deep learning for anatomically guided head-and-neck CT deformable registration
Deep-learning-based deformable image registration (DL-DIR) has demonstrated improved
accuracy compared to time-consuming non-DL methods across various anatomical sites …
accuracy compared to time-consuming non-DL methods across various anatomical sites …
Unsupervised learning of spatially varying regularization for diffeomorphic image registration
Spatially varying regularization accommodates the deformation variations that may be
necessary for different anatomical regions during deformable image registration. Historically …
necessary for different anatomical regions during deformable image registration. Historically …
TimeFlow: Longitudinal Brain Image Registration and Aging Progression Analysis
Predicting future brain states is crucial for understanding healthy aging and
neurodegenerative diseases. Longitudinal brain MRI registration, a cornerstone for such …
neurodegenerative diseases. Longitudinal brain MRI registration, a cornerstone for such …
CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization
Multi-contrast image registration is a challenging task due to the complex intensity
relationships between different imaging contrasts. Conventional image registration methods …
relationships between different imaging contrasts. Conventional image registration methods …
Inference Stage Denoising for Undersampled MRI Reconstruction
Reconstruction of magnetic resonance imaging (MRI) data has been positively affected by
deep learning. A key challenge remains: to improve generalisation to distribution shifts …
deep learning. A key challenge remains: to improve generalisation to distribution shifts …