273 related articles for article (PubMed ID: 27093313)
1. Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease.
Jie B; Liu M; Liu J; Zhang D; Shen D
IEEE Trans Biomed Eng; 2017 Jan; 64(1):238-249. PubMed ID: 27093313
[TBL] [Abstract][Full Text] [Related]
2. Temporally-constrained group sparse learning for longitudinal data analysis.
Zhang D; Liu J; Shen D
Med Image Comput Comput Assist Interv; 2012; 15(Pt 3):264-71. PubMed ID: 23286139
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment.
Liu M; Zhang D; Shen D
IEEE Trans Med Imaging; 2016 Jun; 35(6):1463-74. PubMed ID: 26742127
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Group Guided Fused Laplacian Sparse Group Lasso for Modeling Alzheimer's Disease Progression.
Liu X; Wang J; Ren F; Kong J
Comput Math Methods Med; 2020; 2020():4036560. PubMed ID: 32104201
[TBL] [Abstract][Full Text] [Related]
7. Gaussian Discriminant Analysis for Optimal Delineation of Mild Cognitive Impairment in Alzheimer's Disease.
Fang C; Li C; Cabrerizo M; Barreto A; Andrian J; Rishe N; Loewenstein D; Duara R; Adjouadi M
Int J Neural Syst; 2018 Oct; 28(8):1850017. PubMed ID: 29793369
[TBL] [Abstract][Full Text] [Related]
8. Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment.
Yang P; Zhou F; Ni D; Xu Y; Chen S; Wang T; Lei B
IEEE Trans Cybern; 2021 Jan; 51(1):233-246. PubMed ID: 31567112
[TBL] [Abstract][Full Text] [Related]
9. Identification of associations between genotypes and longitudinal phenotypes via temporally-constrained group sparse canonical correlation analysis.
Hao X; Li C; Yan J; Yao X; Risacher SL; Saykin AJ; Shen L; Zhang D;
Bioinformatics; 2017 Jul; 33(14):i341-i349. PubMed ID: 28881979
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Deep ensemble learning of sparse regression models for brain disease diagnosis.
Suk HI; Lee SW; Shen D;
Med Image Anal; 2017 Apr; 37():101-113. PubMed ID: 28167394
[TBL] [Abstract][Full Text] [Related]
12. Tree-guided sparse coding for brain disease classification.
Liu M; Zhang D; Yap PT; Shen D
Med Image Comput Comput Assist Interv; 2012; 15(Pt 3):239-47. PubMed ID: 23286136
[TBL] [Abstract][Full Text] [Related]
13. Longitudinal score prediction for Alzheimer's disease based on ensemble correntropy and spatial-temporal constraint.
Lei B; Hou W; Zou W; Li X; Zhang C; Wang T
Brain Imaging Behav; 2019 Feb; 13(1):126-137. PubMed ID: 29582337
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Multi-task fused sparse learning for mild cognitive impairment identification.
Yang P; Ni D; Chen S; Wang T; Wu D; Lei B
Technol Health Care; 2018; 26(S1):437-448. PubMed ID: 29710750
[TBL] [Abstract][Full Text] [Related]
16. Alzheimer's Disease Computer-Aided Diagnosis: Histogram-Based Analysis of Regional MRI Volumes for Feature Selection and Classification.
Ruiz E; Ramírez J; Górriz JM; Casillas J;
J Alzheimers Dis; 2018; 65(3):819-842. PubMed ID: 29966190
[TBL] [Abstract][Full Text] [Related]
17. Correlation-Aware Sparse and Low-Rank Constrained Multi-Task Learning for Longitudinal Analysis of Alzheimer's Disease.
Jiang P; Wang X; Li Q; Jin L; Li S
IEEE J Biomed Health Inform; 2019 Jul; 23(4):1450-1456. PubMed ID: 30530378
[TBL] [Abstract][Full Text] [Related]
18. Relational-Regularized Discriminative Sparse Learning for Alzheimer's Disease Diagnosis.
Lei B; Yang P; Wang T; Chen S; Ni D
IEEE Trans Cybern; 2017 Apr; 47(4):1102-1113. PubMed ID: 28092591
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. A novel method and software for automatically classifying Alzheimer's disease patients by magnetic resonance imaging analysis.
Previtali F; Bertolazzi P; Felici G; Weitschek E
Comput Methods Programs Biomed; 2017 May; 143():89-95. PubMed ID: 28391822
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
