Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 Graphical model based multivariate analysis (GAMMA): an open-source, cross-platform neuroimaging data analysis software package.

Literature DB >> 21882083

Graphical model based multivariate analysis (GAMMA): an open-source, cross-platform neuroimaging data analysis software package.

Abstract

The GAMMA suite is an open-source, cross-platform data-mining software package designed to analyze neuroimaging data. Analyzing brain image volumes is a very challenging problem, due to undersampling and the potential for multivariate nonlinear interactions among variables. The GAMMA suite provides a set of tools to facilitate the analysis of neuroimaging data.

Entities: Chemical Disease Gene Species

Mesh：

Year: 2012 PMID： 21882083 PMCID： PMC6201747 DOI： 10.1007/s12021-011-9129-7

Source DB: PubMed Journal: Neuroinformatics ISSN： 1539-2791

12 in total

1. Stochastic relaxation, gibbs distributions, and the bayesian restoration of images.

Authors: S Geman; D Geman
Journal: IEEE Trans Pattern Anal Mach Intell Date: 1984-06 Impact factor: 6.226

2. Graphical-Model-based Morphometric Analysis.

Authors: Rong Chen; Edward H Herskovits
Journal: IEEE Trans Med Imaging Date: 2005-10 Impact factor: 10.048

3. Network analysis of mild cognitive impairment.

Authors: Rong Chen; Edward H Herskovits
Journal: Neuroimage Date: 2005-10-05 Impact factor: 6.556

Review 4. Models of brain function in neuroimaging.

Authors: Karl J Friston
Journal: Annu Rev Psychol Date: 2005 Impact factor: 24.137

5. Graphical-model-based multivariate analysis of functional magnetic-resonance data.

Authors: Rong Chen; Edward H Herskovits
Journal: Neuroimage Date: 2007-01-25 Impact factor: 6.556

Review 6. Advances in functional and structural MR image analysis and implementation as FSL.

Authors: Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal: Neuroimage Date: 2004 Impact factor: 6.556

7. Clinical diagnosis based on bayesian classification of functional magnetic-resonance data.

Authors: Rong Chen; Edward H Herskovits
Journal: Neuroinformatics Date: 2007

8. Voxelwise Bayesian lesion-deficit analysis.

Authors: Rong Chen; Argye E Hillis; Mikolaj Pawlak; Edward H Herskovits
Journal: Neuroimage Date: 2008-01-26 Impact factor: 6.556

9. Quantitative comparison of functional MRI and direct electrocortical stimulation for functional mapping.

Authors: S Larsen; R Kikinis; I-F Talos; D Weinstein; W Wells; A Golby
Journal: Int J Med Robot Date: 2007-09 Impact factor: 2.547

Review 10. Schizophrenia: a disconnection syndrome?

Authors: K J Friston; C D Frith
Journal: Clin Neurosci Date: 1995

5 in total

1. Identification of minimal hepatic encephalopathy in patients with cirrhosis based on white matter imaging and Bayesian data mining.

Authors: H-J Chen; R Chen; M Yang; G-J Teng; E H Herskovits
Journal: AJNR Am J Neuroradiol Date: 2014-12-11 Impact factor: 3.825

5. Predictive models of minimal hepatic encephalopathy for cirrhotic patients based on large-scale brain intrinsic connectivity networks.

Authors: Yun Jiao; Xun-Heng Wang; Rong Chen; Tian-Yu Tang; Xi-Qi Zhu; Gao-Jun Teng
Journal: Sci Rep Date: 2017-09-14 Impact factor: 4.379