AIMC Topic: White Matter

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Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth.

Human brain mapping Jul 9, 2021
Brain predicted age difference, or BrainPAD, compares chronological age to an age estimate derived by applying machine learning (ML) to MRI brain data. BrainPAD studies in youth have been relatively limited, often using only a single MRI modality or ...
Human Development Behavioral Symptoms White Matter Nerve Net Diffusion Tensor Imaging Psychometrics Adolescent Child, Preschool Young Adult Age Factors Adult Gray Matter Child Humans Male Models, Theoretical Machine Learning Female
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Lesion probability mapping in MS patients using a regression network on MR fingerprinting.

BMC medical imaging Jul 8, 2021
BACKGROUND: To develop a regression neural network for the reconstruction of lesion probability maps on Magnetic Resonance Fingerprinting using echo-planar imaging (MRF-EPI) in addition to [Formula: see text], [Formula: see text], NAWM, and GM- proba...
Humans Neural Networks, Computer Multiple Sclerosis White Matter Echo-Planar Imaging Leukoencephalopathies Deep Learning Brain Mapping Probability
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Learning to estimate the fiber orientation distribution function from diffusion-weighted MRI.

NeuroImage Jun 26, 2021
Estimation of white matter fiber orientation distribution function (fODF) is the essential first step for reliable brain tractography and connectivity analysis. Most of the existing fODF estimation methods rely on sub-optimal physical models of the d...
Humans Machine Learning White Matter Phantoms, Imaging Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Computer Simulation Models, Neurological Nerve Fibers
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Decoding the microstructural properties of white matter using realistic models.

NeuroImage May 5, 2021
Multi-echo gradient echo (ME-GRE) magnetic resonance signal evolution in white matter has a strong dependence on the orientation of myelinated axons with respect to the main static field. Although analytical solutions have been able to predict some o...
Microscopy, Electron White Matter Feasibility Studies Autopsy Neuroimaging Humans Computer Simulation Female Models, Theoretical Magnetic Resonance Imaging Aged, 80 and over Deep Learning
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Prediction of brain age from routine T2-weighted spin-echo brain magnetic resonance images with a deep convolutional neural network.

Neurobiology of aging Apr 28, 2021
Our study investigated the feasibility and clinical relevance of brain age prediction using axial T2-weighted images (T2-WIs) with a deep convolutional neural network (CNN) algorithm. The CNN model was trained by 1,530 scans in our institution. The p...
Humans Neural Networks, Computer Deep Learning Diabetes Mellitus Predictive Value of Tests White Matter Diffusion Magnetic Resonance Imaging Feasibility Studies Adult Neuroimaging Male Brain Aging Middle Aged Female Aged
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Whole-brain functional MRI registration based on a semi-supervised deep learning model.

Medical physics Apr 15, 2021
PURPOSE: Traditional registration of functional magnetic resonance images (fMRI) is typically achieved through registering their coregistered structural MRI. However, it cannot achieve accurate performance in that functional units which are not neces...
Brain Mapping Gray Matter White Matter Brain Deep Learning Magnetic Resonance Imaging
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Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration.

NeuroImage Mar 29, 2021
This work presents a single-step deep-learning framework for longitudinal image analysis, coined Segis-Net. To optimally exploit information available in longitudinal data, this method concurrently learns a multi-class segmentation and nonlinear regi...
White Matter Diffusion Magnetic Resonance Imaging Humans Deep Learning Aged, 80 and over Image Processing, Computer-Assisted Longitudinal Studies Male Image Interpretation, Computer-Assisted Middle Aged Female Aged
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Prediction of baseline expressive and receptive language function in children with focal epilepsy using diffusion tractography-based deep learning network.

Epilepsy & behavior : E&B Mar 16, 2021
PURPOSE: Focal epilepsy is a risk factor for language impairment in children. We investigated whether the current state-of-the-art deep learning network on diffusion tractography connectome can accurately predict expressive and receptive language sco...
Child White Matter Connectome Diffusion Tensor Imaging Epilepsies, Partial Brain Humans Deep Learning Adolescent
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Diffusion histology imaging differentiates distinct pediatric brain tumor histology.

Scientific reports Feb 26, 2021
High-grade pediatric brain tumors exhibit the highest cancer mortality rates in children. While conventional MRI has been widely adopted for examining pediatric high-grade brain tumors clinically, accurate neuroimaging detection and differentiation o...
Child Brain Neoplasms ROC Curve Male Neoplasm Grading White Matter Adolescent Diffusion Magnetic Resonance Imaging Humans Neural Networks, Computer Female
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A Stacked Generalization of 3D Orthogonal Deep Learning Convolutional Neural Networks for Improved Detection of White Matter Hyperintensities in 3D FLAIR Images.

AJNR. American journal of neuroradiology Feb 11, 2021
BACKGROUND AND PURPOSE: Accurate and reliable detection of white matter hyperintensities and their volume quantification can provide valuable clinical information to assess neurologic disease progression. In this work, a stacked generalization ensemb...
White Matter Deep Learning Imaging, Three-Dimensional Humans Magnetic Resonance Imaging Neural Networks, Computer
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