These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

187 related articles for article (PubMed ID: 25368574)

  • 1. Integrative analysis of multi-dimensional imaging genomics data for Alzheimer's disease prediction.
    Zhang Z; Huang H; Shen D;
    Front Aging Neurosci; 2014; 6():260. PubMed ID: 25368574
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers.
    Gupta Y; Lama RK; Kwon GR;
    Front Comput Neurosci; 2019; 13():72. PubMed ID: 31680923
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Classification and Graphical Analysis of Alzheimer's Disease and Its Prodromal Stage Using Multimodal Features From Structural, Diffusion, and Functional Neuroimaging Data and the APOE Genotype.
    Gupta Y; Kim JI; Kim BC; Kwon GR
    Front Aging Neurosci; 2020; 12():238. PubMed ID: 32848713
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multimodal classification of Alzheimer's disease and mild cognitive impairment.
    Zhang D; Wang Y; Zhou L; Yuan H; Shen D;
    Neuroimage; 2011 Apr; 55(3):856-67. PubMed ID: 21236349
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. A hybrid multimodal machine learning model for Detecting Alzheimer's disease.
    Sheng J; Zhang Q; Zhang Q; Wang L; Yang Z; Xin Y; Wang B
    Comput Biol Med; 2024 Mar; 170():108035. PubMed ID: 38325214
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-Kernel Learning with Dartel Improves Combined MRI-PET Classification of Alzheimer's Disease in AIBL Data: Group and Individual Analyses.
    Youssofzadeh V; McGuinness B; Maguire LP; Wong-Lin K
    Front Hum Neurosci; 2017; 11():380. PubMed ID: 28790908
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis.
    Suk HI; Lee SW; Shen D;
    Neuroimage; 2014 Nov; 101():569-82. PubMed ID: 25042445
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning.
    Li Q; Wu X; Xu L; Chen K; Yao L;
    Front Comput Neurosci; 2017; 11():117. PubMed ID: 29375356
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multiclass diagnosis of stages of Alzheimer's disease using linear discriminant analysis scoring for multimodal data.
    Lin W; Gao Q; Du M; Chen W; Tong T
    Comput Biol Med; 2021 Jul; 134():104478. PubMed ID: 34000523
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Predicting Alzheimer's Disease Conversion From Mild Cognitive Impairment Using an Extreme Learning Machine-Based Grading Method With Multimodal Data.
    Lin W; Gao Q; Yuan J; Chen Z; Feng C; Chen W; Du M; Tong T
    Front Aging Neurosci; 2020; 12():77. PubMed ID: 32296326
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease.
    Shao W; Peng Y; Zu C; Wang M; Zhang D;
    Comput Med Imaging Graph; 2020 Mar; 80():101663. PubMed ID: 31923610
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Optimized Convolutional Fusion for Multimodal Neuroimaging in Alzheimer's Disease Diagnosis: Enhancing Data Integration and Feature Extraction.
    Odusami M; Maskeliūnas R; Damaševičius R
    J Pers Med; 2023 Oct; 13(10):. PubMed ID: 37888107
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Structured Sparse Kernel Learning for Imaging Genetics Based Alzheimer's Disease Diagnosis.
    Peng J; An L; Zhu X; Jin Y; Shen D
    Med Image Comput Comput Assist Interv; 2016 Oct; 9901():70-78. PubMed ID: 28580458
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process.
    Feng W; Halm-Lutterodt NV; Tang H; Mecum A; Mesregah MK; Ma Y; Li H; Zhang F; Wu Z; Yao E; Guo X
    Int J Neural Syst; 2020 Jun; 30(6):2050032. PubMed ID: 32498641
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.