989 related articles for article (PubMed ID: 27046891)
1. A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease.
Tong T; Gao Q; Guerrero R; Ledig C; Chen L; Rueckert D; Initiative ADN
IEEE Trans Biomed Eng; 2017 Jan; 64(1):155-165. PubMed ID: 27046891
[TBL] [Abstract][Full Text] [Related]
2. Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature ranking and a genetic algorithm.
Beheshti I; Demirel H; Matsuda H;
Comput Biol Med; 2017 Apr; 83():109-119. PubMed ID: 28260614
[TBL] [Abstract][Full Text] [Related]
3. Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.
Moradi E; Pepe A; Gaser C; Huttunen H; Tohka J;
Neuroimage; 2015 Jan; 104():398-412. PubMed ID: 25312773
[TBL] [Abstract][Full Text] [Related]
4. Performance of Hippocampus Volumetry with FSL-FIRST for Prediction of Alzheimer's Disease Dementia in at Risk Subjects with Amnestic Mild Cognitive Impairment.
Suppa P; Hampel H; Kepp T; Lange C; Spies L; Fiebach JB; Dubois B; Buchert R;
J Alzheimers Dis; 2016; 51(3):867-73. PubMed ID: 26923010
[TBL] [Abstract][Full Text] [Related]
5. 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. PubMed ID: 26298855
[TBL] [Abstract][Full Text] [Related]
6. Discerning mild cognitive impairment and Alzheimer Disease from normal aging: morphologic characterization based on univariate and multivariate models.
Liao W; Long X; Jiang C; Diao Y; Liu X; Zheng H; Zhang L;
Acad Radiol; 2014 May; 21(5):597-604. PubMed ID: 24433704
[TBL] [Abstract][Full Text] [Related]
7. Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease.
Schmidt-Richberg A; Guerrero R; Ledig C; Molina-Abril H; Frangi AF; Rueckert D;
Inf Process Med Imaging; 2015; 24():387-98. PubMed ID: 26221689
[TBL] [Abstract][Full Text] [Related]
8. Biomarker Extraction Based on Subspace Learning for the Prediction of Mild Cognitive Impairment Conversion.
Li Y; Fang Y; Wang J; Zhang H; Hu B
Biomed Res Int; 2021; 2021():5531940. PubMed ID: 34513992
[TBL] [Abstract][Full Text] [Related]
9. A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.
Spasov S; Passamonti L; Duggento A; Liò P; Toschi N;
Neuroimage; 2019 Apr; 189():276-287. PubMed ID: 30654174
[TBL] [Abstract][Full Text] [Related]
10. Effects of imaging modalities, brain atlases and feature selection on prediction of Alzheimer's disease.
Ota K; Oishi N; Ito K; Fukuyama H; ;
J Neurosci Methods; 2015 Dec; 256():168-83. PubMed ID: 26318777
[TBL] [Abstract][Full Text] [Related]
11. Multi-Modality Sparse Representation for Alzheimer's Disease Classification.
Kwak K; Yun HJ; Park G; Lee JM;
J Alzheimers Dis; 2018; 65(3):807-817. PubMed ID: 29562503
[TBL] [Abstract][Full Text] [Related]
12. Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares.
Ramírez J; Górriz JM; Ortiz A; Martínez-Murcia FJ; Segovia F; Salas-Gonzalez D; Castillo-Barnes D; Illán IA; Puntonet CG;
J Neurosci Methods; 2018 May; 302():47-57. PubMed ID: 29242123
[TBL] [Abstract][Full Text] [Related]
13. 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;
J Neurosci Methods; 2018 May; 302():14-23. PubMed ID: 29269320
[TBL] [Abstract][Full Text] [Related]
14. Predicting the progression of mild cognitive impairment to Alzheimer's disease by longitudinal magnetic resonance imaging-based dictionary learning.
Lin Y; Huang K; Xu H; Qiao Z; Cai S; Wang Y; Huang L;
Clin Neurophysiol; 2020 Oct; 131(10):2429-2439. PubMed ID: 32829290
[TBL] [Abstract][Full Text] [Related]
15. Multimodal manifold-regularized transfer learning for MCI conversion prediction.
Cheng B; Liu M; Suk HI; Shen D; Zhang D;
Brain Imaging Behav; 2015 Dec; 9(4):913-26. PubMed ID: 25702248
[TBL] [Abstract][Full Text] [Related]
16. Prediction of Incipient Alzheimer's Disease Dementia in Patients with Mild Cognitive Impairment.
Ardekani BA; Bermudez E; Mubeen AM; Bachman AH;
J Alzheimers Dis; 2017; 55(1):269-281. PubMed ID: 27662309
[TBL] [Abstract][Full Text] [Related]
17. The Effect of the APOE Genotype on Individual BrainAGE in Normal Aging, Mild Cognitive Impairment, and Alzheimer's Disease.
Löwe LC; Gaser C; Franke K;
PLoS One; 2016; 11(7):e0157514. PubMed ID: 27410431
[TBL] [Abstract][Full Text] [Related]
18. Defining multivariate normative rules for healthy aging using neuroimaging and machine learning: an application to Alzheimer's disease.
Andrade de Oliveira A; Carthery-Goulart MT; Oliveira Júnior PP; Carrettiero DC; Sato JR
J Alzheimers Dis; 2015; 43(1):201-12. PubMed ID: 25079801
[TBL] [Abstract][Full Text] [Related]
19. Discriminative Sparse Features for Alzheimer's Disease Diagnosis Using Multimodal Image Data.
Ortiz A; Lozano F; Gorriz JM; Ramirez J; Martinez Murcia FJ;
Curr Alzheimer Res; 2018; 15(1):67-79. PubMed ID: 28934923
[TBL] [Abstract][Full Text] [Related]
20. A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis.
Elahifasaee F; Li F; Yang M
Comput Math Methods Med; 2019; 2019():1437123. PubMed ID: 32082407
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]