Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers.
about
Building a Science of Individual Differences from fMRI.Rostro-caudal Architecture of the Frontal Lobes in HumansThe power of using functional fMRI on small rodents to study brain pharmacology and diseaseFunctional connectivity with distinct neural networks tracks fluctuations in gain/loss framing susceptibility.A multi-modal parcellation of human cerebral cortexCharacterizing Resting-State Brain Function Using Arterial Spin LabelingThe Human Connectome Project: Progress and ProspectsRegional Homogeneity: A Multimodal, Multiscale Neuroimaging Marker of the Human ConnectomeICA-based artifact removal diminishes scan site differences in multi-center resting-state fMRIAn open science resource for establishing reliability and reproducibility in functional connectomicsStudy protocol: The Whitehall II imaging sub-studyConnectomeDB--Sharing human brain connectivity data.Brain Network Dynamics Adhere to a Power Law.Brain Mechanisms for Processing Affective (and Nonaffective) Touch Are Atypical in AutismTowards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement.Functional Magnetic Resonance Imaging Methods.Effective artifact removal in resting state fMRI data improves detection of DMN functional connectivity alteration in Alzheimer's disease.Dynamic connectivity detection: an algorithm for determining functional connectivity change points in fMRI data.Dynamic thalamus parcellation from resting-state fMRI data.Test-retest reliability of the default mode network in a multi-centric fMRI study of healthy elderly: Effects of data-driven physiological noise correction techniques.MICA-A toolbox for masked independent component analysis of fMRI data.Data Quality Influences Observed Links Between Functional Connectivity and Behavior.Evaluation of Denoising Strategies to Address Motion-Correlated Artifacts in Resting-State Functional Magnetic Resonance Imaging Data from the Human Connectome ProjectClassification and Extraction of Resting State Networks Using Healthy and Epilepsy fMRI Data.Nuisance Regression of High-Frequency Functional Magnetic Resonance Imaging Data: Denoising Can Be Noisy.Methods for cleaning the BOLD fMRI signal.Reduction of Motion Artifacts and Noise Using Independent Component Analysis in Task-Based Functional MRI for Preoperative Planning in Patients with Brain Tumor.Biomarkers, designs, and interpretations of resting-state fMRI in translational pharmacological research: A review of state-of-the-Art, challenges, and opportunities for studying brain chemistry.Opioid suppression of conditioned anticipatory brain responses to breathlessness.White Matter Structural Connectivity Is Not Correlated to Cortical Resting-State Functional Connectivity over the Healthy Adult Lifespan.Impact of automated ICA-based denoising of fMRI data in acute stroke patientsA single session of exercise increases connectivity in sensorimotor-related brain networks: a resting-state fMRI study in young healthy adults.ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imagingDe-noising with a SOCK can improve the performance of event-related ICA.Unraveling the miswired connectome: a developmental perspectiveComputational neuroscience approach to biomarkers and treatments for mental disorders.Functional and structural alterations in the cingulate motor area relate to decreased fronto-striatal coupling in major depressive disorder with psychomotor disturbances.Visual dictionaries as intermediate features in the human brain.Functional consequences of neurite orientation dispersion and density in humans across the adult lifespan.Dynamic connectivity at rest predicts attention task performance.
P2860
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P2860
Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2014年の論文
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2014年学术文章
@wuu
2014年学术文章
@zh-cn
2014年学术文章
@zh-hans
2014年学术文章
@zh-my
2014年学术文章
@zh-sg
2014年學術文章
@yue
name
Automatic denoising of functio ...... rchical fusion of classifiers.
@ast
Automatic denoising of functio ...... rchical fusion of classifiers.
@en
type
label
Automatic denoising of functio ...... rchical fusion of classifiers.
@ast
Automatic denoising of functio ...... rchical fusion of classifiers.
@en
prefLabel
Automatic denoising of functio ...... rchical fusion of classifiers.
@ast
Automatic denoising of functio ...... rchical fusion of classifiers.
@en
P2093
P2860
P50
P1433
P1476
Automatic denoising of functio ...... rchical fusion of classifiers.
@en
P2093
Gholamreza Salimi-Khorshidi
Gwenaëlle Douaud
Matthew F Glasser
P2860
P304
P356
10.1016/J.NEUROIMAGE.2013.11.046
P407
P577
2014-01-02T00:00:00Z