Voxel-based morphometry

By John Ashburner, Karl J. Friston. 2007

412 citations recorded by the source corpus.

Subfields: Applied Mathematics, Computer Vision and Pattern Recognition, Geometry and Topology

View Paper: https://www.semanticscholar.org/paper/7122ef28ea7f46a491659748a6489b87cb1f1b3d

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

1. Gracián García-Martí
2. José Vicente Manjón
3. Montserrat Robles
4. José Carbonell
5. Juan José Lull
6. Luis Martí-Bonmatí

In Geometry and Topology

1. Gracián García-Martí
2. José Vicente Manjón
3. Montserrat Robles
4. José Carbonell
5. Juan José Lull
6. Luis Martí-Bonmatí

Citations in the corpus

• MRI denoising using Non-Local Means (2008, methodology): “Gaussian filters have been largely used in some applications such as fMRI (Ashburner and Friston, 2000) but they have the disadvantage of blurring edges by averaging pixels with non-similar patterns.”
• Cortical Thickness or Grey Matter Volume? The Importance of Selecting the Phenotype for Imaging Genetics Studies (2009, neutral): “Moreover, studies performed in a voxel-per-voxel basis generally require that the images are aligned to a common space, which, together with the segmentation method, has the potential for introducing additional confoundings, such as misalignment, misclassification, as well as false detection of norm”