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Multi-method analysis of MRI images in early diagnostics of Alzheimer's disease.

Wolz R, Julkunen V, Koikkalainen J, Niskanen E, Zhang DP, Rueckert D, Soininen H, Lötjönen J; Alzheimer's Disease Neuroimaging Initiative.

PLoS One. 2011;6(10):e25446. doi: 10.1371/journal.pone.0025446. Epub 2011 Oct 13.


Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.

Moradi E, Pepe A, Gaser C, Huttunen H, Tohka J; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2015 Jan 1;104:398-412. doi: 10.1016/j.neuroimage.2014.10.002. Epub 2014 Oct 12.


A novel method for early diagnosis of Alzheimer's disease based on pseudo Zernike moment from structural MRI.

Gorji HT, Haddadnia J.

Neuroscience. 2015 Oct 1;305:361-71. doi: 10.1016/j.neuroscience.2015.08.013. Epub 2015 Aug 8. Erratum in: Neuroscience. 2015 Dec 3;310():751.


Local MRI analysis approach in the diagnosis of early and prodromal Alzheimer's disease.

Chincarini A, Bosco P, Calvini P, Gemme G, Esposito M, Olivieri C, Rei L, Squarcia S, Rodriguez G, Bellotti R, Cerello P, De Mitri I, Retico A, Nobili F; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2011 Sep 15;58(2):469-80. doi: 10.1016/j.neuroimage.2011.05.083. Epub 2011 Jun 16.


Locally linear embedding (LLE) for MRI based Alzheimer's disease classification.

Liu X, Tosun D, Weiner MW, Schuff N; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2013 Dec;83:148-57. doi: 10.1016/j.neuroimage.2013.06.033. Epub 2013 Jun 21.


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.


Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry.

Sørensen L, Igel C, Pai A, Balas I, Anker C, Lillholm M, Nielsen M; Alzheimer’s Disease Neuroimaging Initiative and the Australian Imaging Biomarkers and Lifestyle flagship study of ageing.

Neuroimage Clin. 2016 Dec 7;13:470-482. doi: 10.1016/j.nicl.2016.11.025. eCollection 2017.


Random Forest ensembles for detection and prediction of Alzheimer's disease with a good between-cohort robustness.

Lebedev AV, Westman E, Van Westen GJ, Kramberger MG, Lundervold A, Aarsland D, Soininen H, Kłoszewska I, Mecocci P, Tsolaki M, Vellas B, Lovestone S, Simmons A; Alzheimer's Disease Neuroimaging Initiative and the AddNeuroMed consortium.

Neuroimage Clin. 2014 Aug 28;6:115-25. doi: 10.1016/j.nicl.2014.08.023. eCollection 2014.


Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns.

Wee CY, Yap PT, Shen D; Alzheimer's Disease Neuroimaging Initiative.

Hum Brain Mapp. 2013 Dec;34(12):3411-25. doi: 10.1002/hbm.22156. Epub 2012 Aug 28.


Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data.

Cho Y, Seong JK, Jeong Y, Shin SY; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2012 Feb 1;59(3):2217-30. doi: 10.1016/j.neuroimage.2011.09.085. Epub 2011 Oct 8.


Discriminant analysis of longitudinal cortical thickness changes in Alzheimer's disease using dynamic and network features.

Li Y, Wang Y, Wu G, Shi F, Zhou L, Lin W, Shen D; Alzheimer's Disease Neuroimaging Initiative.

Neurobiol Aging. 2012 Feb;33(2):427.e15-30. doi: 10.1016/j.neurobiolaging.2010.11.008. Epub 2011 Jan 26.


Multi-task linear programming discriminant analysis for the identification of progressive MCI individuals.

Yu G, Liu Y, Thung KH, Shen D.

PLoS One. 2014 May 12;9(5):e96458. doi: 10.1371/journal.pone.0096458. eCollection 2014.


Hierarchical fusion of features and classifier decisions for Alzheimer's disease diagnosis.

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

Hum Brain Mapp. 2014 Apr;35(4):1305-19. doi: 10.1002/hbm.22254. Epub 2013 Feb 18.


ApoE4 effects on automated diagnostic classifiers for mild cognitive impairment and Alzheimer's disease.

Apostolova LG, Hwang KS, Kohannim O, Avila D, Elashoff D, Jack CR Jr, Shaw L, Trojanowski JQ, Weiner MW, Thompson PM; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage Clin. 2014 Jan 4;4:461-72. doi: 10.1016/j.nicl.2013.12.012. eCollection 2014.


Random forest feature selection, fusion and ensemble strategy: Combining multiple morphological MRI measures to discriminate among healhy elderly, MCI, cMCI and alzheimer's disease patients: From the alzheimer's disease neuroimaging initiative (ADNI) database.

Dimitriadis SI, Liparas D, Tsolaki MN; Alzheimer's Disease Neuroimaging Initiative.

J Neurosci Methods. 2017 Dec 18. pii: S0165-0270(17)30427-2. doi: 10.1016/j.jneumeth.2017.12.010. [Epub ahead of print]


Multi-modality sparse representation-based classification for Alzheimer's disease and mild cognitive impairment.

Xu L, Wu X, Chen K, Yao L.

Comput Methods Programs Biomed. 2015 Nov;122(2):182-90. doi: 10.1016/j.cmpb.2015.08.004. Epub 2015 Aug 10.


Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort.

Risacher SL, Saykin AJ, West JD, Shen L, Firpi HA, McDonald BC; Alzheimer's Disease Neuroimaging Initiative (ADNI).

Curr Alzheimer Res. 2009 Aug;6(4):347-61.


An MRI-based index to measure the severity of Alzheimer's disease-like structural pattern in subjects with mild cognitive impairment.

Spulber G, Simmons A, Muehlboeck JS, Mecocci P, Vellas B, Tsolaki M, Kłoszewska I, Soininen H, Spenger C, Lovestone S, Wahlund LO, Westman E; dNeuroMed consortium and for the Alzheimer Disease Neuroimaging Initiative.

J Intern Med. 2013 Apr;273(4):396-409. doi: 10.1111/joim.12028. Epub 2013 Jan 30.


Automatic Prediction of Conversion from Mild Cognitive Impairment to Probable Alzheimer's Disease using Structural Magnetic Resonance Imaging.

Nho K, Shen L, Kim S, Risacher SL, West JD, Foroud T, Jack CR, Weiner MW, Saykin AJ.

AMIA Annu Symp Proc. 2010 Nov 13;2010:542-6.


Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification.

Liu F, Wee CY, Chen H, Shen D.

Neuroimage. 2014 Jan 1;84:466-75. doi: 10.1016/j.neuroimage.2013.09.015. Epub 2013 Sep 14.

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