Automatically parcellating the human cerebral cortex.
By Bruce Fischl, A. V. D. van der Kouwe, Christophe Destrieux, Eric Halgren, Florent Ségonne, David H. Salat, Evelina Busa, Larry J. Seidman, Jill Goldstein, Daniel P. Kennedy and 4 more. Cerebral Cortex, 2004
4,373 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Geometry and Topology
View Paper: https://www.semanticscholar.org/paper/8a0c2b377bfea184efc266f5155d015612203389
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Bruce Fischl
- Mert Rory Sabuncu
- Daniel Rueckert
- Martin Reuter
- Juan Eugenio Iglesias
- H. Rosas
- D. Louis Collins
- David H. Salat
In Geometry and Topology
- Bruce Fischl
- Arno Klein
- David H. Salat
- Martin H. Teicher
- Carl M. Anderson
- A. M. Dale
- Martin Reuter
- Douglas N. Greve
Citations in the corpus
- An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data (2011, methodology): “Various techniques have been proposed to reduce the manual effort required to densely label a high-resolution neuroimage; one example is the popular software package known as Freesurfer [37, 40, 41].”
- The NIRS Brain AnalyzIR Toolbox (2018, methodology): “The gray/white matter surfaces have been labeled using both the AAL2 [64,65] and Freesurfer “aparc” [66] parcellation labels which is stored in the variable.”
- A Correspondence between Individual Differences in the Brain's Intrinsic Functional Architecture and the Content and Form of Self-Generated Thoughts (2014, neutral): “1 [43–52] followed by iterative manual inspection and correction of the cortical segmentations.”
- Amyloid deposition is associated with impaired default network function in older persons without dementia (2009, neutral): “The anatomically defined PPC region was determined on each subject's high-resolution MP-RAGE image with FreeSurfer (http://surfer.nmr.mgh.harvard.edu/) using a semiautomated parcellation method based on a probabilistic atlas (Fischl et al., 2004).”
- Unique developmental trajectories of cortical thickness and surface area (2014, neutral): “This labeling process involved surface inflation (Fischl et al., 1999) and registration to a spherical atlas based on subject specific cortical folding patterns (Fischl et al., 2004a,b).”
- Distinct genetic influences on cortical surface area and cortical thickness. (2009, methodology): “Neither the heritability of the ROIs nor their functional properties were considered during the selection process.”
- A hybrid approach to the skull stripping problem in MRI (2004, positive): “We note that this method has been successfully used in many studies [15], [16], [30].”
- One year brain atrophy evident in healthy aging (2009, methodology): “Scans were segmented as described previously (Fischl et al., 2002, 2004) to yielding data for 11 different volumetric ROIs and four ventricular ROIs (right and left hemisphere regions measured separately), including the hippocampal formation [consisting of the dentate gyrus, CA fields,…”
- Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks (2010, neutral): “malized atlas comprising 66 regions [124].”
- Brain Functional Localization: A Survey of Image Registration Techniques (2007, background): “accuracy and efficiency with respect to experts’ manual labeling [276], [328], [329].”
- Brain maturation in adolescence and young adulthood: regional age-related changes in cortical thickness and white matter volume and microstructure. (2010, methodology): “The cortical surface was then parcellated according to procedures described by Fischl et al. (2004).”
- An unbiased iterative group registration template for cortical surface analysis (2007, background): “The more recent paper (Fischl et al., 2004) extends the surface-based registration methodology to deal with surface-based segmentation.”
- Mapping the Structural Core of Human Cerebral Cortex (2008, methodology): “We used Freesurfer to register a labeled mesh from an average brain onto the brain of each individual participant, where each label corresponded to one of 66 anatomical cortical regions [54].”
- Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex (2017, methodology): “We obtain a groupwise representation of the surface-based anatomical parcellations (Fischl et al., 2004; Desikan et al., 2006) using majority voting across the subject-level parcellations.”