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[HTML][HTML] Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization
Magnetic resonance imaging and computed tomography from multiple batches (eg sites,
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
scanners, datasets, etc.) are increasingly used alongside complex downstream analyses to …
Meta-analysis of the normal diffusion tensor imaging values of the median nerve and how they change in carpal tunnel syndrome
Carpal tunnel syndrome (CTS) leads to distortion of axonal architecture, demyelination and
fibrosis within the median nerve. Diffusion tensor imaging (DTI) characterises tissue …
fibrosis within the median nerve. Diffusion tensor imaging (DTI) characterises tissue …
Anatomy-aware and acquisition-agnostic joint registration with SynthMorph
Affine image registration is a cornerstone of medical-image analysis. While classical
algorithms can achieve excellent accuracy, they solve a time-consuming optimization for …
algorithms can achieve excellent accuracy, they solve a time-consuming optimization for …
Diffusion mri with machine learning
D Karimi, SK Warfield - Imaging Neuroscience, 2024 - direct.mit.edu
Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique
capabilities including noninvasive probing of tissue microstructure and structural …
capabilities including noninvasive probing of tissue microstructure and structural …
Prior‐guided individualized thalamic parcellation based on local diffusion characteristics
Comprising numerous subnuclei, the thalamus intricately interconnects the cortex and
subcortex, orchestrating various facets of brain functions. Extracting personalized …
subcortex, orchestrating various facets of brain functions. Extracting personalized …
A dual enrichment synergistic strategy to handle data heterogeneity for domain incremental cardiac segmentation
Upon remarkable progress in cardiac image segmentation, contemporary studies dedicate
to further upgrading model functionality toward perfection, through progressively exploring …
to further upgrading model functionality toward perfection, through progressively exploring …
Meta-analysis of the normal diffusion tensor imaging values of the peripheral nerves in the upper limb
Peripheral neuropathy affects 1 in 10 adults over the age of 40 years. Given the absence of
a reliable diagnostic test for peripheral neuropathy, there has been a surge of research into …
a reliable diagnostic test for peripheral neuropathy, there has been a surge of research into …
BAI-Net: Individualized anatomical cerebral cartography using graph neural network
Brain atlas is an important tool in the diagnosis and treatment of neurological disorders.
However, due to large variations in the organizational principles of individual brains, many …
However, due to large variations in the organizational principles of individual brains, many …
[HTML][HTML] Modeling the impact of MRI acquisition bias on structural connectomes: Harmonizing structural connectomes
One way to increase the statistical power and generalizability of neuroimaging studies is to
collect data at multiple sites or merge multiple cohorts. However, this usually comes with site …
collect data at multiple sites or merge multiple cohorts. However, this usually comes with site …
Robust fiber orientation distribution function estimation using deep constrained spherical deconvolution for diffusion-weighted magnetic resonance imaging
Purpose Diffusion-weighted magnetic resonance imaging (DW-MRI) is a critical imaging
method for capturing and modeling tissue microarchitecture at a millimeter scale. A common …
method for capturing and modeling tissue microarchitecture at a millimeter scale. A common …