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Echo-Planar Imaging

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Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression.

Psychiatry research 26187550
Standard functional magnetic resonance imaging (fMRI) analyses cannot assess the potential of a neuroimaging signature as a biomarker to predict individual vulnerability to major depression (MD). Here, we use machine learning for the first time to ad...
Adult Algorithms Biomarkers Case-Control Studies Depressive Disorder, Major Diagnosis, Computer-Assisted Echo-Planar Imaging Female Guilt Humans Image Interpretation, Computer-Assisted Machine Learning Magnetic Resonance Imaging Male Nerve Net Reference Values Sensitivity and Specificity Temporal Lobe
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Machine learning based compartment models with permeability for white matter microstructure imaging.

NeuroImage 28188915
Some microstructure parameters, such as permeability, remain elusive because mathematical models that express their relationship to the MR signal accurately are intractable. Here, we propose to use computational models learned from simulations to est...
Adult Brain Computer Simulation Echo-Planar Imaging Female Humans Image Interpretation, Computer-Assisted Machine Learning Male Middle Aged Models, Theoretical Monte Carlo Method Multiple Sclerosis Permeability White Matter Young Adult
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Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary study.

Journal of magnetic resonance imaging : JMRI 29044896
BACKGROUND: Diffusion-weighted MRI (DWI) is currently one of the fastest developing MRI-based techniques in oncology. Histogram properties from model fitting of DWI are useful features for differentiation of lesions, and classification can potentiall...
Adult Aged Algorithms Breast Breast Neoplasms Diffusion Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Estrogen Receptor alpha Female Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Machine Learning Middle Aged Motion Prospective Studies Receptor, ErbB-2 Reproducibility of Results Support Vector Machine
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Intravoxel Incoherent Motion: Model-Free Determination of Tissue Type in Abdominal Organs Using Machine Learning.

Investigative radiology 28742733
PURPOSE: For diffusion data sets including low and high b-values, the intravoxel incoherent motion model is commonly applied to characterize tissue. The aim of the present study was to show that machine learning allows a model-free approach to determ...
Abdomen Adult Algorithms Cluster Analysis Diffusion Magnetic Resonance Imaging Echo-Planar Imaging Female Humans Image Processing, Computer-Assisted Kidney Liver Machine Learning Male Motion Principal Component Analysis Reference Values Reproducibility of Results Spleen Young Adult
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Single-shot T mapping using overlapping-echo detachment planar imaging and a deep convolutional neural network.

Magnetic resonance in medicine 29687915
PURPOSE: An end-to-end deep convolutional neural network (CNN) based on deep residual network (ResNet) was proposed to efficiently reconstruct reliable T mapping from single-shot overlapping-echo detachment (OLED) planar imaging.
Adult Algorithms Brain Computer Simulation Deep Learning Echo-Planar Imaging Humans Image Processing, Computer-Assisted Phantoms, Imaging
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