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 …
Deep learning microstructure estimation of develo** brains from diffusion MRI: a newborn and fetal study
Diffusion-weighted magnetic resonance imaging (dMRI) is widely used to assess the brain
white matter. Fiber orientation distribution functions (FODs) are a common way of …
white matter. Fiber orientation distribution functions (FODs) are a common way of …
Recovering high‐quality fiber orientation distributions from a reduced number of diffusion‐weighted images using a model‐driven deep learning architecture
Purpose The aim of this study was to develop a model‐based deep learning architecture to
accurately reconstruct fiber orientation distributions (FODs) from a reduced number of …
accurately reconstruct fiber orientation distributions (FODs) from a reduced number of …
Deep learning-based free-water correction for single-shell diffusion MRI
Free-water elimination (FWE) modeling in diffusion magnetic resonance imaging (dMRI) is
crucial for accurate estimation of diffusion properties by mitigating the partial volume effects …
crucial for accurate estimation of diffusion properties by mitigating the partial volume effects …
Predicting fluorescent labels in label-free microscopy images with pix2pix and adaptive loss in Light My Cells challenge
Fluorescence labeling is the standard approach to reveal cellular structures and other
subcellular constituents for microscopy images. However, this invasive procedure may …
subcellular constituents for microscopy images. However, this invasive procedure may …
Learning-based free-water correction using single-shell diffusion MRI
Diffusion magnetic resonance imaging (dMRI) offers the ability to assess subvoxel brain
microstructure through the extraction of biomarkers like fractional anisotropy, as well as to …
microstructure through the extraction of biomarkers like fractional anisotropy, as well as to …
[PDF][PDF] Deep learning methods for diffusion MRI in early development of the human brain: resolution enhancement and model estimation
H Kebiri - 2023 - serval.unil.ch
Diffusion magnetic resonance imaging has emerged as the gold standard tool for studying
the brain white matter both in vivo and non-invasively, offering valuable insights into …
the brain white matter both in vivo and non-invasively, offering valuable insights into …
Investigation of Learning-Based Tractography via TractSeg
Y Zou - 2023 - cdr.lib.unc.edu
The reconstruction of white matter fiber bundles using non-invasive diffusion-weighted
magnetic resonance imaging is useful for studying brain connectivity. However, accurate …
magnetic resonance imaging is useful for studying brain connectivity. However, accurate …