AIMC Topic: White Matter

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CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis.

NMR in biomedicine Mar 3, 2020
The central vein sign (CVS) is an efficient imaging biomarker for multiple sclerosis (MS) diagnosis, but its application in clinical routine is limited by inter-rater variability and the expenditure of time associated with manual assessment. We descr...
Magnetic Resonance Imaging Multiple Sclerosis Automation White Matter Veins Humans Machine Learning Software Imaging, Three-Dimensional
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An improved deep network for tissue microstructure estimation with uncertainty quantification.

Medical image analysis Jan 22, 2020
Deep learning based methods have improved the estimation of tissue microstructure from diffusion magnetic resonance imaging (dMRI) scans acquired with a reduced number of diffusion gradients. These methods learn the mapping from diffusion signals in ...
White Matter Connectome Uncertainty Diffusion Magnetic Resonance Imaging Humans Deep Learning Image Enhancement
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Development of a Novel Prognostic Model to Predict 6-Month Swallowing Recovery After Ischemic Stroke.

Stroke Dec 30, 2019
Background and Purpose- The aim of this study was to explore clinical and radiological prognostic factors for long-term swallowing recovery in patients with poststroke dysphagia and to develop and validate a prognostic model using a machine learning ...
Prognosis Female Reproducibility of Results Aged Humans Machine Learning Algorithms Internal Capsule Proportional Hazards Models Multivariate Analysis Fluoroscopy White Matter Male Cerebral Cortex Stroke Middle Aged Deglutition Disorders Enteral Nutrition Sex Factors Magnetic Resonance Imaging Basal Ganglia Brain Ischemia Recovery of Function Brain Stem
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Limited One-time Sampling Irregularity Map (LOTS-IM) for Automatic Unsupervised Assessment of White Matter Hyperintensities and Multiple Sclerosis Lesions in Structural Brain Magnetic Resonance Images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 27, 2019
We present the application of limited one-time sampling irregularity map (LOTS-IM): a fully automatic unsupervised approach to extract brain tissue irregularities in magnetic resonance images (MRI), for quantitatively assessing white matter hyperinte...
White Matter Unsupervised Machine Learning Humans Brain Mapping Sensitivity and Specificity Multiple Sclerosis Disease Progression Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual.

Human brain mapping Nov 18, 2019
Schizophrenia is a severe psychiatric disorder associated with both structural and functional brain abnormalities. In the past few years, there has been growing interest in the application of machine learning techniques to neuroimaging data for the d...
Gray Matter White Matter Connectome Neural Pathways Multimodal Imaging Schizophrenia Rest Neuroimaging Diffusion Tensor Imaging Reproducibility of Results Young Adult Humans Adult Machine Learning Male Female Middle Aged Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging
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SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder.

NeuroImage. Clinical Nov 9, 2019
White matter hyperintensities (WMHs) of presumed vascular origin are frequently observed in magnetic resonance images (MRIs) of the elderly. Detection and quantification of WMHs is important to help doctors make diagnoses and evaluate prognosis of th...
Aged, 80 and over Magnetic Resonance Imaging Humans Male Unsupervised Machine Learning Deep Learning Image Enhancement Neural Networks, Computer Image Processing, Computer-Assisted White Matter Female Aged
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Synthesizing diffusion tensor imaging from functional MRI using fully convolutional networks.

Computers in biology and medicine Oct 31, 2019
PURPOSE: Medical image synthesis can simulate a target modality of interest based on existing modalities and has the potential to save scanning time while contributing to efficient data collection. This study proposed a three-dimensional (3D) deep le...
Magnetic Resonance Imaging White Matter Diffusion Tensor Imaging Machine Learning Databases, Factual Female Male Humans
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SVM recursive feature elimination analyses of structural brain MRI predicts near-term relapses in patients with clinically isolated syndromes suggestive of multiple sclerosis.

NeuroImage. Clinical Oct 22, 2019
Machine learning classification is an attractive approach to automatically differentiate patients from healthy subjects, and to predict future disease outcomes. A clinically isolated syndrome (CIS) is often the first presentation of multiple sclerosi...
Adolescent Image Processing, Computer-Assisted Support Vector Machine Follow-Up Studies Adult Humans Male White Matter Magnetic Resonance Imaging Retrospective Studies Middle Aged Multiple Sclerosis Female Disease Progression Young Adult Neuroimaging Gray Matter
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Unsupervised machine learning using an imaging mass spectrometry dataset automatically reassembles grey and white matter.

Scientific reports Sep 13, 2019
Current histological and anatomical analysis techniques, including fluorescence in situ hybridisation, immunohistochemistry, immunofluorescence, immunoelectron microscopy and fluorescent fusion protein, have revealed great distribution diversity of m...
Image Processing, Computer-Assisted Rats, Wistar Cluster Analysis Unsupervised Machine Learning Phospholipids Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Pattern Recognition, Automated Hydroxybenzoates Animals Male Gray Matter White Matter Cerebellar Cortex
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Combined tract segmentation and orientation mapping for bundle-specific tractography.

Medical image analysis Sep 12, 2019
While the major white matter tracts are of great interest to numerous studies in neuroscience and medicine, their manual dissection in larger cohorts from diffusion MRI tractograms is time-consuming, requires expert knowledge and is hard to reproduce...
Phantoms, Imaging Brain Mapping Humans Diffusion Tensor Imaging Datasets as Topic Machine Learning White Matter Image Processing, Computer-Assisted Neural Pathways
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