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Times Cited: 561
Times Cited: 561
Times Cited
Times Co-cited
Similarity
Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.
Fidel Alfaro-Almagro, Mark Jenkinson, Neal K Bangerter, Jesper L R Andersson, Ludovica Griffanti, Gwenaëlle Douaud, Stamatios N Sotiropoulos, Saad Jbabdi, Moises Hernandez-Fernandez, Emmanuel Vallee,[...]. Neuroimage 2018
Fidel Alfaro-Almagro, Mark Jenkinson, Neal K Bangerter, Jesper L R Andersson, Ludovica Griffanti, Gwenaëlle Douaud, Stamatios N Sotiropoulos, Saad Jbabdi, Moises Hernandez-Fernandez, Emmanuel Vallee,[...]. Neuroimage 2018
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UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age.
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The WU-Minn Human Connectome Project: an overview.
David C Van Essen, Stephen M Smith, Deanna M Barch, Timothy E J Behrens, Essa Yacoub, Kamil Ugurbil. Neuroimage 2013
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The UK Biobank resource with deep phenotyping and genomic data.
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Genome-wide association studies of brain imaging phenotypes in UK Biobank.
Lloyd T Elliott, Kevin Sharp, Fidel Alfaro-Almagro, Sinan Shi, Karla L Miller, Gwenaëlle Douaud, Jonathan Marchini, Stephen M Smith. Nature 2018
Lloyd T Elliott, Kevin Sharp, Fidel Alfaro-Almagro, Sinan Shi, Karla L Miller, Gwenaëlle Douaud, Jonathan Marchini, Stephen M Smith. Nature 2018
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The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites.
B J Casey, Tariq Cannonier, May I Conley, Alexandra O Cohen, Deanna M Barch, Mary M Heitzeg, Mary E Soules, Theresa Teslovich, Danielle V Dellarco, Hugh Garavan,[...]. Dev Cogn Neurosci 2018
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Confound modelling in UK Biobank brain imaging.
Fidel Alfaro-Almagro, Paul McCarthy, Soroosh Afyouni, Jesper L R Andersson, Matteo Bastiani, Karla L Miller, Thomas E Nichols, Stephen M Smith. Neuroimage 2021
Fidel Alfaro-Almagro, Paul McCarthy, Soroosh Afyouni, Jesper L R Andersson, Matteo Bastiani, Karla L Miller, Thomas E Nichols, Stephen M Smith. Neuroimage 2021
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FSL.
Mark Jenkinson, Christian F Beckmann, Timothy E J Behrens, Mark W Woolrich, Stephen M Smith. Neuroimage 2012
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Statistical Challenges in "Big Data" Human Neuroimaging.
Stephen M Smith, Thomas E Nichols. Neuron 2018
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The minimal preprocessing pipelines for the Human Connectome Project.
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An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest.
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The Human Connectome Project: a data acquisition perspective.
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Power failure: why small sample size undermines the reliability of neuroscience.
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Functional mapping and annotation of genetic associations with FUMA.
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A positive-negative mode of population covariation links brain connectivity, demographics and behavior.
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How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging.
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The UK Biobank imaging enhancement of 100,000 participants: rationale, data collection, management and future directions.
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An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging.
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The genetic architecture of the human cerebral cortex.
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Katrina L Grasby, Neda Jahanshad, Jodie N Painter, Lucía Colodro-Conde, Janita Bralten, Derrek P Hibar, Penelope A Lind, Fabrizio Pizzagalli, Christopher R K Ching, Mary Agnes B McMahon,[...]. Science 2020
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ICA-based artefact removal and accelerated fMRI acquisition for improved resting state network imaging.
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BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities.
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A reproducible evaluation of ANTs similarity metric performance in brain image registration.
Brian B Avants, Nicholas J Tustison, Gang Song, Philip A Cook, Arno Klein, James C Gee. Neuroimage 2011
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MAGMA: generalized gene-set analysis of GWAS data.
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Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population.
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The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data.
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Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression.
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7
Variability in the analysis of a single neuroimaging dataset by many teams.
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An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank.
Stephen M Smith, Gwenaëlle Douaud, Winfield Chen, Taylor Hanayik, Fidel Alfaro-Almagro, Kevin Sharp, Lloyd T Elliott. Nat Neurosci 2021
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Scanning the horizon: towards transparent and reproducible neuroimaging research.
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N4ITK: improved N3 bias correction.
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Automatic denoising of functional MRI data: combining independent component analysis and hierarchical fusion of classifiers.
Gholamreza Salimi-Khorshidi, Gwenaëlle Douaud, Christian F Beckmann, Matthew F Glasser, Ludovica Griffanti, Stephen M Smith. Neuroimage 2014
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Resting-state fMRI in the Human Connectome Project.
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Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion.
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Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists.
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Ten Years of BrainAGE as a Neuroimaging Biomarker of Brain Aging: What Insights Have We Gained?
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Common brain disorders are associated with heritable patterns of apparent aging of the brain.
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Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group.
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A multi-modal parcellation of human cerebral cortex.
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Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.