187 related articles for article (PubMed ID: 28642938)
1. Correlation-Weighted Sparse Group Representation for Brain Network Construction in MCI Classification.
Yu R; Zhang H; An L; Chen X; Wei Z; Shen D
Med Image Comput Comput Assist Interv; 2016 Oct; 9900():37-45. PubMed ID: 28642938
[TBL] [Abstract][Full Text] [Related]
2. Connectivity strength-weighted sparse group representation-based brain network construction for MCI classification.
Yu R; Zhang H; An L; Chen X; Wei Z; Shen D
Hum Brain Mapp; 2017 May; 38(5):2370-2383. PubMed ID: 28150897
[TBL] [Abstract][Full Text] [Related]
3. Brain connectivity hyper-network for MCI classification.
Jie B; Shen D; Zhang D
Med Image Comput Comput Assist Interv; 2014; 17(Pt 2):724-32. PubMed ID: 25485444
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Estimating functional brain networks by incorporating a modularity prior.
Qiao L; Zhang H; Kim M; Teng S; Zhang L; Shen D
Neuroimage; 2016 Nov; 141():399-407. PubMed ID: 27485752
[TBL] [Abstract][Full Text] [Related]
6. Constrained sparse functional connectivity networks for MCI classification.
Wee CY; Yap PT; Zhang D; Wang L; Shen D
Med Image Comput Comput Assist Interv; 2012; 15(Pt 2):212-9. PubMed ID: 23286051
[TBL] [Abstract][Full Text] [Related]
7. Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification.
Wee CY; Yang S; Yap PT; Shen D;
Brain Imaging Behav; 2016 Jun; 10(2):342-56. PubMed ID: 26123390
[TBL] [Abstract][Full Text] [Related]
8. Sparse multivariate autoregressive modeling for mild cognitive impairment classification.
Li Y; Wee CY; Jie B; Peng Z; Shen D
Neuroinformatics; 2014 Jul; 12(3):455-69. PubMed ID: 24595922
[TBL] [Abstract][Full Text] [Related]
9. Hyper-connectivity of functional networks for brain disease diagnosis.
Jie B; Wee CY; Shen D; Zhang D
Med Image Anal; 2016 Aug; 32():84-100. PubMed ID: 27060621
[TBL] [Abstract][Full Text] [Related]
10. Inference of brain pathway activities for Alzheimer's disease classification.
Lee J; Kim Y; Jeong Y; Na DL; Kim JW; Lee KH; Lee D
BMC Med Inform Decis Mak; 2015; 15 Suppl 1(Suppl 1):S1. PubMed ID: 26044913
[TBL] [Abstract][Full Text] [Related]
11. Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer's disease.
Khazaee A; Ebrahimzadeh A; Babajani-Feremi A
Brain Imaging Behav; 2016 Sep; 10(3):799-817. PubMed ID: 26363784
[TBL] [Abstract][Full Text] [Related]
12. Weighted Graph Regularized Sparse Brain Network Construction for MCI Identification.
Yu R; Qiao L; Chen M; Lee SW; Fei X; Shen D
Pattern Recognit; 2019 Jun; 90():220-231. PubMed ID: 31579345
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Resting-state whole-brain functional connectivity networks for MCI classification using L2-regularized logistic regression.
Zhang X; Hu B; Ma X; Xu L
IEEE Trans Nanobioscience; 2015 Mar; 14(2):237-47. PubMed ID: 25700453
[TBL] [Abstract][Full Text] [Related]
15. Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification.
Li Y; Liu J; Gao X; Jie B; Kim M; Yap PT; Wee CY; Shen D
Med Image Anal; 2019 Feb; 52():80-96. PubMed ID: 30472348
[TBL] [Abstract][Full Text] [Related]
16. Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis.
Suk HI; Wee CY; Lee SW; Shen D
Neuroinformatics; 2015 Jul; 13(3):277-95. PubMed ID: 25501275
[TBL] [Abstract][Full Text] [Related]
17. Analysis of brain functional connectivity network in MS patients constructed by modular structure of sparse weights from cognitive task-related fMRI.
Miri Ashtiani SN; Behnam H; Daliri MR; Hossein-Zadeh GA; Mehrpour M
Australas Phys Eng Sci Med; 2019 Dec; 42(4):921-938. PubMed ID: 31452057
[TBL] [Abstract][Full Text] [Related]
18. Alzheimer's Disease Classification Based on Individual Hierarchical Networks Constructed With 3-D Texture Features.
Liu J; Wang J; Hu B; Wu FX; Pan Y
IEEE Trans Nanobioscience; 2017 Sep; 16(6):428-437. PubMed ID: 28541903
[TBL] [Abstract][Full Text] [Related]
19. Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification.
Li Y; Liu J; Peng Z; Sheng C; Kim M; Yap PT; Wee CY; Shen D
Neuroinformatics; 2020 Jan; 18(1):1-24. PubMed ID: 30982183
[TBL] [Abstract][Full Text] [Related]
20. Novel Effective Connectivity Inference Using Ultra-Group Constrained Orthogonal Forward Regression and Elastic Multilayer Perceptron Classifier for MCI Identification.
Li Y; Yang H; Lei B; Liu J; Wee CY
IEEE Trans Med Imaging; 2019 May; 38(5):1227-1239. PubMed ID: 30475714
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
