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Items: 1 to 20 of 102

2.

Utilizing temporal information in fMRI decoding: classifier using kernel regression methods.

Chu C, Mourão-Miranda J, Chiu YC, Kriegeskorte N, Tan G, Ashburner J.

Neuroimage. 2011 Sep 15;58(2):560-71. doi: 10.1016/j.neuroimage.2011.06.053. Epub 2011 Jun 25.

3.

Classification of Aurora-A Kinase Inhibitors Using Self-Organizing Map (SOM) and Support Vector Machine (SVM).

Wang L, Wang Z, Yan A, Yuan Q.

Mol Inform. 2011 Jan 17;30(1):35-44. doi: 10.1002/minf.201000106. Epub 2011 Jan 21.

PMID:
27467876
4.

Feature selection for fMRI-based deception detection.

Jin B, Strasburger A, Laken SJ, Kozel FA, Johnson KA, George MS, Lu X.

BMC Bioinformatics. 2009 Sep 17;10 Suppl 9:S15. doi: 10.1186/1471-2105-10-S9-S15.

5.

Voxel-based clustered imaging by multiparameter diffusion tensor images for glioma grading.

Inano R, Oishi N, Kunieda T, Arakawa Y, Yamao Y, Shibata S, Kikuchi T, Fukuyama H, Miyamoto S.

Neuroimage Clin. 2014 Aug 7;5:396-407. doi: 10.1016/j.nicl.2014.08.001. eCollection 2014.

6.

Comparative study of SVM methods combined with voxel selection for object category classification on fMRI data.

Song S, Zhan Z, Long Z, Zhang J, Yao L.

PLoS One. 2011 Feb 16;6(2):e17191. doi: 10.1371/journal.pone.0017191.

7.

Detection of temporal lobe epilepsy using support vector machines in multi-parametric quantitative MR imaging.

Cantor-Rivera D, Khan AR, Goubran M, Mirsattari SM, Peters TM.

Comput Med Imaging Graph. 2015 Apr;41:14-28. doi: 10.1016/j.compmedimag.2014.07.002. Epub 2014 Jul 21.

PMID:
25103878
8.

Analysis of fMRI data using improved self-organizing mapping and spatio-temporal metric hierarchical clustering.

Liao W, Chen H, Yang Q, Lei X.

IEEE Trans Med Imaging. 2008 Oct;27(10):1472-83. doi: 10.1109/TMI.2008.923987.

PMID:
18815099
9.

PAIR Comparison between Two Within-Group Conditions of Resting-State fMRI Improves Classification Accuracy.

Zhou Z, Wang JB, Zang YF, Pan G.

Front Neurosci. 2018 Jan 9;11:740. doi: 10.3389/fnins.2017.00740. eCollection 2017.

10.

Support vector machines for temporal classification of block design fMRI data.

LaConte S, Strother S, Cherkassky V, Anderson J, Hu X.

Neuroimage. 2005 Jun;26(2):317-29. Epub 2005 Mar 24.

PMID:
15907293
11.

Multiclass fMRI data decoding and visualization using supervised self-organizing maps.

Hausfeld L, Valente G, Formisano E.

Neuroimage. 2014 Aug 1;96:54-66. doi: 10.1016/j.neuroimage.2014.02.006. Epub 2014 Feb 12.

PMID:
24531045
12.

A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: application to schizophrenia.

Castro E, Gómez-Verdejo V, Martínez-Ramón M, Kiehl KA, Calhoun VD.

Neuroimage. 2014 Feb 15;87:1-17. doi: 10.1016/j.neuroimage.2013.10.065. Epub 2013 Nov 10.

13.

Vicinal support vector classifier using supervised kernel-based clustering.

Yang X, Cao A, Song Q, Schaefer G, Su Y.

Artif Intell Med. 2014 Mar;60(3):189-96. doi: 10.1016/j.artmed.2014.01.003. Epub 2014 Feb 7.

PMID:
24637294
14.

Combining multivariate voxel selection and support vector machines for mapping and classification of fMRI spatial patterns.

De Martino F, Valente G, Staeren N, Ashburner J, Goebel R, Formisano E.

Neuroimage. 2008 Oct 15;43(1):44-58. doi: 10.1016/j.neuroimage.2008.06.037. Epub 2008 Jul 11.

PMID:
18672070
15.
16.

Unsupervised spatiotemporal analysis of fMRI data using graph-based visualizations of self-organizing maps.

Katwal SB, Gore JC, Marois R, Rogers BP.

IEEE Trans Biomed Eng. 2013 Sep;60(9):2472-83. doi: 10.1109/TBME.2013.2258344. Epub 2013 Apr 16.

17.

Seminal quality prediction using data mining methods.

Sahoo AJ, Kumar Y.

Technol Health Care. 2014;22(4):531-45. doi: 10.3233/THC-140816.

PMID:
24898862
18.

Disease prediction based on functional connectomes using a scalable and spatially-informed support vector machine.

Watanabe T, Kessler D, Scott C, Angstadt M, Sripada C.

Neuroimage. 2014 Aug 1;96:183-202. doi: 10.1016/j.neuroimage.2014.03.067. Epub 2014 Apr 1.

19.

Robust support vector machine-trained fuzzy system.

Forghani Y, Yazdi HS.

Neural Netw. 2014 Feb;50:154-65. doi: 10.1016/j.neunet.2013.11.013. Epub 2013 Nov 21.

PMID:
24316676
20.

Spatially regularized machine learning for task and resting-state fMRI.

Song X, Panych LP, Chen NK.

J Neurosci Methods. 2016 Jan 15;257:214-28. doi: 10.1016/j.jneumeth.2015.10.001. Epub 2015 Oct 16.

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