Deep learning for brain MRI segmentation: state of the art and future directions
Quantitative analysis of brain MRI is routine for many neurological diseases and conditions
and relies on accurate segmentation of structures of interest. Deep learning-based …
and relies on accurate segmentation of structures of interest. Deep learning-based …
Deformable medical image registration: A survey
Deformable image registration is a fundamental task in medical image processing. Among
its most important applications, one may cite: 1) multi-modality fusion, where information …
its most important applications, one may cite: 1) multi-modality fusion, where information …
fMRIPrep: a robust preprocessing pipeline for functional MRI
Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to
clean and standardize the data before statistical analysis. Generally, researchers create ad …
clean and standardize the data before statistical analysis. Generally, researchers create ad …
Voxelmorph: a learning framework for deformable medical image registration
We present VoxelMorph, a fast learning-based framework for deformable, pairwise medical
image registration. Traditional registration methods optimize an objective function for each …
image registration. Traditional registration methods optimize an objective function for each …
The minimal preprocessing pipelines for the Human Connectome Project
Abstract The Human Connectome Project (HCP) faces the challenging task of bringing
multiple magnetic resonance imaging (MRI) modalities together in a common automated …
multiple magnetic resonance imaging (MRI) modalities together in a common automated …
A reproducible evaluation of ANTs similarity metric performance in brain image registration
The United States National Institutes of Health (NIH) commit significant support to open-
source data and software resources in order to foment reproducibility in the biomedical …
source data and software resources in order to foment reproducibility in the biomedical …
Harmonization of cortical thickness measurements across scanners and sites
With the proliferation of multi-site neuroimaging studies, there is a greater need for handling
non-biological variance introduced by differences in MRI scanners and acquisition …
non-biological variance introduced by differences in MRI scanners and acquisition …
elastix: A Toolbox for Intensity-Based Medical Image Registration
Medical image registration is an important task in medical image processing. It refers to the
process of aligning data sets, possibly from different modalities (eg, magnetic resonance …
process of aligning data sets, possibly from different modalities (eg, magnetic resonance …
An unsupervised learning model for deformable medical image registration
We present a fast learning-based algorithm for deformable, pairwise 3D medical image
registration. Current registration methods optimize an objective function independently for …
registration. Current registration methods optimize an objective function independently for …
Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces
Classical deformable registration techniques achieve impressive results and offer a rigorous
theoretical treatment, but are computationally intensive since they solve an optimization …
theoretical treatment, but are computationally intensive since they solve an optimization …