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Found 8 papers, 3 papers with code
Intensity-based 3D motion correction for cardiac MR images
Cardiac magnetic resonance (CMR) image acquisition requires subjects to hold their breath while 2D cine images are acquired.
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases
Anatomical atlases are widely used for population analysis.
MAD: Modality Agnostic Distance Measure for Image Registration
The success of multi-modal image registration, whether it is conventional or learning based, is predicated upon the choice of an appropriate distance (or similarity) measure.
Constructing Population-Specific Atlases from Whole Body MRI: Application to the UKBB
We demonstrate different applications of these atlases, using the differences between subjects with medical conditions such as diabetes and cardiovascular diseases and healthy subjects from the atlas space.
Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation
The 3D translation outperformed the 2D approach, resulting in improved Dice scores (0. 80) and anatomically accurate segmentations in a higher resolution than the original MR image.
Single-subject Multi-contrast MRI Super-resolution via Implicit Neural Representations
Clinical routine and retrospective cohorts commonly include multi-parametric Magnetic Resonance Imaging; however, they are mostly acquired in different anisotropic 2D views due to signal-to-noise-ratio and scan-time constraints.
Investigating Pulse-Echo Sound Speed Estimation in Breast Ultrasound with Deep Learning
However, the various types of breast tissue, such as glandular, fat, and lesions, differ in sound speed.
Multi-modal unsupervised brain image registration using edge maps
Diffeomorphic deformable multi-modal image registration is a challenging task which aims to bring images acquired by different modalities to the same coordinate space and at the same time to preserve the topology and the invertibility of the transformation.
