278 related articles for article (PubMed ID: 22498655)
1. Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.
Yuan L; Wang Y; Thompson PM; Narayan VA; Ye J;
Neuroimage; 2012 Jul; 61(3):622-32. PubMed ID: 22498655
[TBL] [Abstract][Full Text] [Related]
2. Multi-Source Learning for Joint Analysis of Incomplete Multi-Modality Neuroimaging Data.
Yuan L; Wang Y; Thompson PM; Narayan VA; Ye J
KDD; 2012; ():1149-1157. PubMed ID: 24014189
[TBL] [Abstract][Full Text] [Related]
3. Multi-task linear programming discriminant analysis for the identification of progressive MCI individuals.
Yu G; Liu Y; Thung KH; Shen D
PLoS One; 2014; 9(5):e96458. PubMed ID: 24820966
[TBL] [Abstract][Full Text] [Related]
4. Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.
Zu C; Jie B; Liu M; Chen S; Shen D; Zhang D;
Brain Imaging Behav; 2016 Dec; 10(4):1148-1159. PubMed ID: 26572145
[TBL] [Abstract][Full Text] [Related]
5. Prediction of Progressive Mild Cognitive Impairment by Multi-Modal Neuroimaging Biomarkers.
Xu L; Wu X; Li R; Chen K; Long Z; Zhang J; Guo X; Yao L;
J Alzheimers Dis; 2016; 51(4):1045-56. PubMed ID: 26923024
[TBL] [Abstract][Full Text] [Related]
6. Bi-level multi-source learning for heterogeneous block-wise missing data.
Xiang S; Yuan L; Fan W; Wang Y; Thompson PM; Ye J;
Neuroimage; 2014 Nov; 102 Pt 1():192-206. PubMed ID: 23988272
[TBL] [Abstract][Full Text] [Related]
7. Reproducible evaluation of classification methods in Alzheimer's disease: Framework and application to MRI and PET data.
Samper-González J; Burgos N; Bottani S; Fontanella S; Lu P; Marcoux A; Routier A; Guillon J; Bacci M; Wen J; Bertrand A; Bertin H; Habert MO; Durrleman S; Evgeniou T; Colliot O; ;
Neuroimage; 2018 Dec; 183():504-521. PubMed ID: 30130647
[TBL] [Abstract][Full Text] [Related]
8. The impact of atlas-based MR attenuation correction on the diagnosis of FDG-PET/MR for Alzheimer's diseases- A simulation study combining multi-center data and ADNI-data.
Sekine T; Buck A; Delso G; Kemp B; Ter Voert EEGW; Huellner M; Veit-Haibach P; Kaushik S; Wiesinger F; Warnock G;
PLoS One; 2020; 15(6):e0233886. PubMed ID: 32492074
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Manifold regularized multitask feature learning for multimodality disease classification.
Jie B; Zhang D; Cheng B; Shen D;
Hum Brain Mapp; 2015 Feb; 36(2):489-507. PubMed ID: 25277605
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Identification of Alzheimer's disease and mild cognitive impairment using multimodal sparse hierarchical extreme learning machine.
Kim J; Lee B
Hum Brain Mapp; 2018 Sep; 39(9):3728-3741. PubMed ID: 29736986
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease.
Zhang D; Shen D;
Neuroimage; 2012 Jan; 59(2):895-907. PubMed ID: 21992749
[TBL] [Abstract][Full Text] [Related]
15. Predicting cognitive decline in subjects at risk for Alzheimer disease by using combined cerebrospinal fluid, MR imaging, and PET biomarkers.
Shaffer JL; Petrella JR; Sheldon FC; Choudhury KR; Calhoun VD; Coleman RE; Doraiswamy PM;
Radiology; 2013 Feb; 266(2):583-91. PubMed ID: 23232293
[TBL] [Abstract][Full Text] [Related]
16. Discriminative multi-task feature selection for multi-modality classification of Alzheimer's disease.
Ye T; Zu C; Jie B; Shen D; Zhang D;
Brain Imaging Behav; 2016 Sep; 10(3):739-49. PubMed ID: 26311394
[TBL] [Abstract][Full Text] [Related]
17. Multi-modal latent space inducing ensemble SVM classifier for early dementia diagnosis with neuroimaging data.
Zhou T; Thung KH; Liu M; Shi F; Zhang C; Shen D
Med Image Anal; 2020 Feb; 60():101630. PubMed ID: 31927474
[TBL] [Abstract][Full Text] [Related]
18. Potential Clinical Value of Multiparametric PET in the Prediction of Alzheimer's Disease Progression.
Chen X; Zhou Y; Wang R; Cao H; Reid S; Gao R; Han D;
PLoS One; 2016; 11(5):e0154406. PubMed ID: 27183116
[TBL] [Abstract][Full Text] [Related]
19. Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis.
Liu M; Cheng D; Wang K; Wang Y;
Neuroinformatics; 2018 Oct; 16(3-4):295-308. PubMed ID: 29572601
[TBL] [Abstract][Full Text] [Related]
20. Multi-auxiliary domain transfer learning for diagnosis of MCI conversion.
Cheng B; Zhu B; Pu S
Neurol Sci; 2022 Mar; 43(3):1721-1739. PubMed ID: 34510292
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
