Computational anatomy with the SPM software.

By John Ashburner. Magnetic Resonance Imaging, 2009

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3D Slicer as an Image Computing Platform for the Quantitative Imaging Network (2012, methodology): “Its generality and extensibility separate Slicer from such task-oriented packages as ITK-Snap (image segmentation) [23], DtiStudio (diffusion tensor analysis) [24], FreeSurfer, FSL [25] and SPM [22] (neuroimaging applications).”
Individual Differences in Marketing Placebo Effects: Evidence from Brain Imaging and Behavioral Experiments (2015, methodology): “The VBM is an approach that enables comparison of the volume of tissues, in our case, brain tissue, between or within groups of subjects (for a detailed review, see Ashburner 2009).”
Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters (2010, unknown): “UN CO RR E the onset of clinical symptoms – has been given great emphasis during the last years (Ashburner, 2009; Davatzikos et al., 2009).”
A Review of Feature Reduction Techniques in Neuroimaging (2013, methodology): “Neuroimaging data pre-processing frameworks in different modalities are discussed elsewhere (Ashburner 2007; Ashburner 2009; Johansen-Berg and Behrens 2009; Penny et al. 2007).”
NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data (2014, unknown): “MNI is a common standard now supported by many software systems, e.g. SPM (Ashburner, 2009).”