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Items: 1 to 20 of 141

1.

FEATURE RANKING BASED NESTED SUPPORT VECTOR MACHINE ENSEMBLE FOR MEDICAL IMAGE CLASSIFICATION.

Varol E, Gaonkar B, Erus G, Schultz R, Davatzikos C.

Proc IEEE Int Symp Biomed Imaging. 2012:146-149.

2.

Classification of Alzheimer's disease from FDG-PET images using favourite class ensembles.

Cabral C, Silveira M; Alzheimer’s Disease Neuroimaging Initiative.

Conf Proc IEEE Eng Med Biol Soc. 2013;2013:2477-80. doi: 10.1109/EMBC.2013.6610042.

PMID:
24110229
3.

Structural MRI-based detection of Alzheimer's disease using feature ranking and classification error.

Beheshti I, Demirel H, Farokhian F, Yang C, Matsuda H; Alzheimer's Disease Neuroimaging Initiative.

Comput Methods Programs Biomed. 2016 Dec;137:177-193. doi: 10.1016/j.cmpb.2016.09.019. Epub 2016 Sep 26.

PMID:
28110723
4.

Feature-ranking-based Alzheimer's disease classification from structural MRI.

Beheshti I, Demirel H; Alzheimer’s Disease Neuroimaging Initiative.

Magn Reson Imaging. 2016 Apr;34(3):252-63. doi: 10.1016/j.mri.2015.11.009. Epub 2015 Dec 3.

PMID:
26657976
5.

Top scoring pairs for feature selection in machine learning and applications to cancer outcome prediction.

Shi P, Ray S, Zhu Q, Kon MA.

BMC Bioinformatics. 2011 Sep 23;12:375. doi: 10.1186/1471-2105-12-375.

6.

Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.

Li F, Zhao C, Xia Z, Wang Y, Zhou X, Li GZ.

BMC Complement Altern Med. 2012 Aug 16;12:127. doi: 10.1186/1472-6882-12-127.

7.

Probability distribution function-based classification of structural MRI for the detection of Alzheimer's disease.

Beheshti I, Demirel H; Alzheimer’s Disease Neuroimaging Initiative.

Comput Biol Med. 2015 Sep;64:208-16. doi: 10.1016/j.compbiomed.2015.07.006. Epub 2015 Jul 20.

PMID:
26226415
8.

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.

9.

Detecting brain structural changes as biomarker from magnetic resonance images using a local feature based SVM approach.

Chen Y, Storrs J, Tan L, Mazlack LJ, Lee JH, Lu LJ.

J Neurosci Methods. 2014 Jan 15;221:22-31. doi: 10.1016/j.jneumeth.2013.09.001. Epub 2013 Sep 14.

PMID:
24041480
10.

Phenotype recognition with combined features and random subspace classifier ensemble.

Zhang B, Pham TD.

BMC Bioinformatics. 2011 Apr 30;12:128. doi: 10.1186/1471-2105-12-128.

11.

Voxel-Based Diagnosis of Alzheimer's Disease Using Classifier Ensembles.

Armananzas R, Iglesias M, Morales DA, Alonso-Nanclares L.

IEEE J Biomed Health Inform. 2017 May;21(3):778-784. doi: 10.1109/JBHI.2016.2538559. Epub 2016 Mar 4.

PMID:
28113481
12.

Ensemble sparse classification of Alzheimer's disease.

Liu M, Zhang D, Shen D; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2012 Apr 2;60(2):1106-16. doi: 10.1016/j.neuroimage.2012.01.055. Epub 2012 Jan 14.

13.
14.

Random subspace ensembles for FMRI classification.

Kuncheva LI, Rodriguez JJ, Plumpton CO, Linden DE, Johnston SJ.

IEEE Trans Med Imaging. 2010 Feb;29(2):531-42. doi: 10.1109/TMI.2009.2037756.

PMID:
20129853
15.

Classification of structural MRI images in Alzheimer's disease from the perspective of ill-posed problems.

Casanova R, Hsu FC, Espeland MA; Alzheimer's Disease Neuroimaging Initiative.

PLoS One. 2012;7(10):e44877. doi: 10.1371/journal.pone.0044877. Epub 2012 Oct 10.

16.

Comparison of Feature Selection Techniques in Machine Learning for Anatomical Brain MRI in Dementia.

Tohka J, Moradi E, Huttunen H; Alzheimer’s Disease Neuroimaging Initiative.

Neuroinformatics. 2016 Jul;14(3):279-96. doi: 10.1007/s12021-015-9292-3.

PMID:
26803769
17.

Ensemble Merit Merge Feature Selection for Enhanced Multinomial Classification in Alzheimer's Dementia.

Sivapriya TR, Kamal AR, Thangaiah PR.

Comput Math Methods Med. 2015;2015:676129. doi: 10.1155/2015/676129. Epub 2015 Oct 20.

18.

View-centralized multi-atlas classification for Alzheimer's disease diagnosis.

Liu M, Zhang D, Shen D; Alzheimer's Disease Neuroimaging Initiative.

Hum Brain Mapp. 2015 May;36(5):1847-65. doi: 10.1002/hbm.22741. Epub 2015 Jan 27.

PMID:
25624081
19.

Effects of imaging modalities, brain atlases and feature selection on prediction of Alzheimer's disease.

Ota K, Oishi N, Ito K, Fukuyama H; SEAD-J Study Group; Alzheimer's Disease Neuroimaging Initiative.

J Neurosci Methods. 2015 Dec 30;256:168-83. doi: 10.1016/j.jneumeth.2015.08.020. Epub 2015 Aug 28.

20.

Feature Selection Based on the SVM Weight Vector for Classification of Dementia.

Bron EE, Smits M, Niessen WJ, Klein S.

IEEE J Biomed Health Inform. 2015 Sep;19(5):1617-1626. doi: 10.1109/JBHI.2015.2432832. Epub 2015 May 13.

PMID:
25974958

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