AIMC Topic: White Matter
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DeepACSON automated segmentation of white matter in 3D electron microscopy.
Communications biology
Feb 10, 2021
Tracing the entirety of ultrastructures in large three-dimensional electron microscopy (3D-EM) images of the brain tissue requires automated segmentation techniques. Current segmentation techniques use deep convolutional neural networks (DCNNs) and r...
Microscopy, Electron
White Matter
Nerve Fibers, Myelinated
Mitochondria
Image Interpretation, Computer-Assisted
Cell Nucleus
Male
Imaging, Three-Dimensional
Artificial Intelligence
Rats
Reproducibility of Results
Brain Injuries, Traumatic
Animals
Rats, Sprague-Dawley
Disease Models, Animal
Predictive Value of Tests
Accelerated white matter lesion analysis based on simultaneous and quantification using magnetic resonance fingerprinting and deep learning.
Magnetic resonance in medicine
Feb 5, 2021
PURPOSE: To develop an accelerated postprocessing pipeline for reproducible and efficient assessment of white matter lesions using quantitative magnetic resonance fingerprinting (MRF) and deep learning.
An anatomical knowledge-based MRI deep learning pipeline for white matter hyperintensity quantification associated with cognitive impairment.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Feb 3, 2021
Recent studies have confirmed that white matter hyperintensities (WMHs) accumulated in strategic brain regions can predict cognitive impairments associated with Alzheimer's disease (AD). The knowledge of white matter anatomy facilitates lesion-sympto...
Associated factors of white matter hyperintensity volume: a machine-learning approach.
Scientific reports
Jan 27, 2021
To identify the most important parameters associated with cerebral white matter hyperintensities (WMH), in consideration of potential collinearity, we used a data-driven machine-learning approach. We analysed two independent cohorts (KORA and SHIP). ...
Automatic segmentation of white matter hyperintensities from brain magnetic resonance images in the era of deep learning and big data - A systematic review.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jan 13, 2021
BACKGROUND: White matter hyperintensities (WMH), of presumed vascular origin, are visible and quantifiable neuroradiological markers of brain parenchymal change. These changes may range from damage secondary to inflammation and other neurological con...
Strong inhibitory signaling underlies stable temporal dynamics and working memory in spiking neural networks.
Nature neuroscience
Dec 7, 2020
Cortical neurons process information on multiple timescales, and areas important for working memory (WM) contain neurons capable of integrating information over a long timescale. However, the underlying mechanisms for the emergence of neuronal timesc...
Deep-Learning-Based Segmentation and Localization of White Matter Hyperintensities on Magnetic Resonance Images.
Interdisciplinary sciences, computational life sciences
Nov 2, 2020
White matter magnetic resonance hyperintensities of presumed vascular origin, which could be widely observed in elderly people, and has significant importance in multiple neurological studies. Quantitative measurement usually relies heavily on manual...
Prediction of 7-year's conversion from subjective cognitive decline to mild cognitive impairment.
Human brain mapping
Oct 8, 2020
Subjective cognitive decline (SCD) is a high-risk yet less understood status before developing Alzheimer's disease (AD). This work included 76 SCD individuals with two (baseline and 7 years later) neuropsychological evaluations and a baseline T1-weig...
Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination.
NeuroImage
Oct 6, 2020
The intra-axonal water exchange time (τ), a parameter associated with axonal permeability, could be an important biomarker for understanding and treating demyelinating pathologies such as Multiple Sclerosis. Diffusion-Weighted MRI (DW-MRI) is sensiti...
Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation.
NeuroImage
Sep 23, 2020
Virtual delineation of white matter bundles in the human brain is of paramount importance for multiple applications, such as pre-surgical planning and connectomics. A substantial body of literature is related to methods that automatically segment bun...
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