Voxel-Based Morphometry
By Florian Kurth, Eileen Luders. 2015
303 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Geometry and Topology, Radiology, Nuclear Medicine and Imaging
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
- Christos Davatzikos
- Bilwaj Gaonkar
- Russell T. Shinohara
- Carlton Chu
- Bernd Weber
- H. Plassmann
- Jonas Richiardi
- John Ashburner
In Geometry and Topology
- Bilwaj Gaonkar
- Christos Davatzikos
- Russell T. Shinohara
- Bernd Weber
- H. Plassmann
- John Ashburner
- Carlton Chu
- Janaina Mourão Miranda
In Radiology, Nuclear Medicine and Imaging
- Bilwaj Gaonkar
- Christos Davatzikos
- Bernd Weber
- H. Plassmann
- Carlton Chu
- Russell T. Shinohara
- John Ashburner
- Jonas Richiardi
Citations in the corpus
- Interpreting support vector machine models for multivariate group wise analysis in neuroimaging (2015, positive): “…protocols included a) skull removal using the BET algorithm (Smith, 2002) b) n3 bias correction using N3(Sled et al., 1998) c) segmentation using adaptive k-means (Pham and Prince, 1999) d) registration to a common template and generation of RAVENS maps using the (Davatzikos et al., 2001) protocol.”
- PRoNTo: Pattern Recognition for Neuroimaging Toolbox (2013, methodology): “For these data, one of the most commonly used analysis approach is Voxel-Based Morphometry, (VBM, (Ashburner & Friston, 2000)), which investigates focal differences in grey matter density between groups of subjects, again using a mass univariate approach.”
- CAT: a computational anatomy toolbox for the analysis of structural MRI data (2024, unknown): “Subsequently, local tissue and region corrections are conducted using region-growing and bottleneck algorithms [26].”
- Individual Differences in Marketing Placebo Effects: Evidence from Brain Imaging and Behavioral Experiments (2015, methodology): “We performed VBM techniques (Ashburner and Friston 2000) in the context of SPM8 (http://www.fil.ion.ucl.ac.uk/ spm/ software/spm8) using the VBM8 toolbox (http://dbm. neuro. uni-jena.de/vbm/download).”