476 related articles for article (PubMed ID: 25993900)
1. Deep sparse multi-task learning for feature selection in Alzheimer's disease diagnosis.
Suk HI; Lee SW; Shen D;
Brain Struct Funct; 2016 Jun; 221(5):2569-87. PubMed ID: 25993900
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Generalized fused group lasso regularized multi-task feature learning for predicting cognitive outcomes in Alzheimers disease.
Cao P; Liu X; Liu H; Yang J; Zhao D; Huang M; Zaiane O
Comput Methods Programs Biomed; 2018 Aug; 162():19-45. PubMed ID: 29903486
[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. 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]
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; 84():466-75. PubMed ID: 24045077
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer's Disease Stages Using Resting-State fMRI and Residual Neural Networks.
Ramzan F; Khan MUG; Rehmat A; Iqbal S; Saba T; Rehman A; Mehmood Z
J Med Syst; 2019 Dec; 44(2):37. PubMed ID: 31853655
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. HAMMF: Hierarchical attention-based multi-task and multi-modal fusion model for computer-aided diagnosis of Alzheimer's disease.
Liu X; Li W; Miao S; Liu F; Han K; Bezabih TT
Comput Biol Med; 2024 Jun; 176():108564. PubMed ID: 38744010
[TBL] [Abstract][Full Text] [Related]
13. Discriminative self-representation sparse regression for neuroimaging-based alzheimer's disease diagnosis.
Zhu X; Suk HI; Lee SW; Shen D
Brain Imaging Behav; 2019 Feb; 13(1):27-40. PubMed ID: 28624881
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Canonical feature selection for joint regression and multi-class identification in Alzheimer's disease diagnosis.
Zhu X; Suk HI; Lee SW; Shen D
Brain Imaging Behav; 2016 Sep; 10(3):818-28. PubMed ID: 26254746
[TBL] [Abstract][Full Text] [Related]
16. Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data.
Ye J; Farnum M; Yang E; Verbeeck R; Lobanov V; Raghavan N; Novak G; DiBernardo A; Narayan VA;
BMC Neurol; 2012 Jun; 12():46. PubMed ID: 22731740
[TBL] [Abstract][Full Text] [Related]
17. Multi-Objective Genetic Algorithms to Find Most Relevant Volumes of the Brain Related to Alzheimer's Disease and Mild Cognitive Impairment.
Valenzuela O; Jiang X; Carrillo A; Rojas I
Int J Neural Syst; 2018 Nov; 28(9):1850022. PubMed ID: 29914313
[TBL] [Abstract][Full Text] [Related]
18. Identifying informative imaging biomarkers via tree structured sparse learning for AD diagnosis.
Liu M; Zhang D; Shen D;
Neuroinformatics; 2014 Jul; 12(3):381-94. PubMed ID: 24338729
[TBL] [Abstract][Full Text] [Related]
19. Graph-guided joint prediction of class label and clinical scores for the Alzheimer's disease.
Yu G; Liu Y; Shen D
Brain Struct Funct; 2016 Sep; 221(7):3787-801. PubMed ID: 26476928
[TBL] [Abstract][Full Text] [Related]
20. A novel relational regularization feature selection method for joint regression and classification in AD diagnosis.
Zhu X; Suk HI; Wang L; Lee SW; Shen D;
Med Image Anal; 2017 May; 38():205-214. PubMed ID: 26674971
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
