AIMC Topic: White Matter

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DeepWMH: A deep learning tool for accurate white matter hyperintensity segmentation without requiring manual annotations for training.

Science bulletin Jan 28, 2024
Algorithms White Matter Brain Deep Learning
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End-to-end volumetric segmentation of white matter hyperintensities using deep learning.

Computer methods and programs in biomedicine Jan 10, 2024
BACKGROUND AND OBJECTIVES: Reliable detection of white matter hyperintensities (WMH) is crucial for studying the impact of diffuse white-matter pathology on brain health and monitoring changes in WMH load over time. However, manual annotation of 3D h...
Brain Deep Learning Magnetic Resonance Imaging White Matter Image Processing, Computer-Assisted Humans Algorithms
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Exploring White Matter Abnormalities in Young Children with Autism Spectrum Disorder: Integrating Multi-shell Diffusion Data and Machine Learning Analysis.

Academic radiology Jan 6, 2024
RATIONALE AND OBJECTIVES: This study employed tract-based spatial statistics (TBSS) to investigate abnormalities in the white matter microstructure among children with autism spectrum disorder (ASD). Additionally, an eXtreme Gradient Boosting (XGBoos...
Autism Spectrum Disorder Female Male White Matter Child, Preschool Humans Child Diffusion Tensor Imaging Machine Learning Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging
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Deep learning-based grading of white matter hyperintensities enables identification of potential markers in multi-sequence MRI data.

Computer methods and programs in biomedicine Oct 30, 2023
BACKGROUND: White matter hyperintensities (WMHs) are widely-seen in the aging population, which are associated with cerebrovascular risk factors and age-related cognitive decline. At present, structural atrophy and functional alterations coexisted wi...
Humans Brain Aged White Matter Diffusion Magnetic Resonance Imaging Deep Learning Magnetic Resonance Imaging
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Segmenting white matter hyperintensities on isotropic three-dimensional Fluid Attenuated Inversion Recovery magnetic resonance images: Assessing deep learning tools on a Norwegian imaging database.

PloS one Aug 24, 2023
An important step in the analysis of magnetic resonance imaging (MRI) data for neuroimaging is the automated segmentation of white matter hyperintensities (WMHs). Fluid Attenuated Inversion Recovery (FLAIR-weighted) is an MRI contrast that is particu...
Middle Aged Neuroimaging Humans Deep Learning Bayes Theorem White Matter Female Magnetic Resonance Imaging Leukoaraiosis Alzheimer Disease Aged Male
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Deep Learning Methods for Identification of White Matter Fiber Tracts: Review of State-of-the-Art and Future Prospective.

Neuroinformatics Jun 17, 2023
Quantitative analysis of white matter fiber tracts from diffusion Magnetic Resonance Imaging (dMRI) data is of great significance in health and disease. For example, analysis of fiber tracts related to anatomically meaningful fiber bundles is highly ...
Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Forecasting Image Processing, Computer-Assisted White Matter Deep Learning
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Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation.

NeuroImage Apr 3, 2023
White matter fiber clustering is an important strategy for white matter parcellation, which enables quantitative analysis of brain connections in health and disease. In combination with expert neuroanatomical labeling, data-driven white matter fiber ...
Diffusion Tensor Imaging Image Processing, Computer-Assisted Algorithms Cluster Analysis Brain White Matter Humans Male Aged Deep Learning Adult Female
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Automatic detection of punctate white matter lesions in infants using deep learning of composite images from two cases.

Scientific reports Mar 17, 2023
Punctate white matter lesions (PWMLs) in infants may be related to neurodevelopmental outcomes based on the location or number of lesions. This study aimed to assess the automatic detectability of PWMLs in infants on deep learning using composite ima...
Humans Infant Probability Deep Learning Cerebral Cortex Magnetic Resonance Imaging White Matter
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Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions.

Medical image analysis Jan 23, 2023
Diffusion MRI tractography is an advanced imaging technique that enables in vivo mapping of the brain's white matter connections. White matter parcellation classifies tractography streamlines into clusters or anatomically meaningful tracts. It enable...
White Matter Diffusion Tensor Imaging Cloud Computing Infant, Newborn Deep Learning Image Processing, Computer-Assisted Humans Brain
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Minimizing the effect of white matter lesions on deep learning based tissue segmentation for brain volumetry.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 13, 2022
Automated methods for segmentation-based brain volumetry may be confounded by the presence of white matter (WM) lesions, which introduce abnormal intensities that can alter the classification of not only neighboring but also distant brain tissue. The...
Magnetic Resonance Imaging Humans White Matter Reproducibility of Results Deep Learning Brain Multiple Sclerosis Image Processing, Computer-Assisted
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