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 *

66 related articles for article (PubMed ID: 25927078)

  • 1. Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI Measures.
    Yan J; Huang H; Risacher SL; Kim S; Inlow M; Moore JH; Saykin AJ; Shen L
    Multimodal Brain Image Anal (2013); 2013; 8159():202-210. PubMed ID: 25927078
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Fused Group Lasso Regularized Multi-Task Feature Learning and Its Application to the Cognitive Performance Prediction of Alzheimer's Disease.
    Liu X; Cao P; Wang J; Kong J; Zhao D
    Neuroinformatics; 2019 Apr; 17(2):271-294. PubMed ID: 30284672
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Cortical surface biomarkers for predicting cognitive outcomes using group l2,1 norm.
    Yan J; Li T; Wang H; Huang H; Wan J; Nho K; Kim S; Risacher SL; Saykin AJ; Shen L;
    Neurobiol Aging; 2015 Jan; 36 Suppl 1():S185-93. PubMed ID: 25444599
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Linearized and Kernelized Sparse Multitask Learning for Predicting Cognitive Outcomes in Alzheimer's Disease.
    Liu X; Cao P; Yang J; Zhao D
    Comput Math Methods Med; 2018; 2018():7429782. PubMed ID: 29623103
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Identifying Imaging Markers for Predicting Cognitive Assessments Using Wasserstein Distances Based Matrix Regression.
    Yan J; Deng C; Luo L; Wang X; Yao X; Shen L; Huang H
    Front Neurosci; 2019; 13():668. PubMed ID: 31354405
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model.
    Xu J; Deng C; Gao X; Shen D; Huang H
    IJCAI (U S); 2017 Aug; 2017():3880-3886. PubMed ID: 29681724
    [TBL] [Abstract][Full Text] [Related]  

  • 8. JOINT IDENTIFICATION OF IMAGING AND PROTEOMICS BIOMARKERS OF ALZHEIMER'S DISEASE USING NETWORK-GUIDED SPARSE LEARNING.
    Yan J; Huang H; Kim S; Moore J; Saykin A; Shen L
    Proc IEEE Int Symp Biomed Imaging; 2014 May; 2014():665-668. PubMed ID: 25408822
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Sparse Multi-Task Regression and Feature Selection to Identify Brain Imaging Predictors for Memory Performance.
    Wang H; Nie F; Huang H; Risacher S; Ding C; Saykin AJ; Shen L;
    Proc IEEE Int Conf Comput Vis; 2011; ():557-562. PubMed ID: 25283084
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using MRI and Structural Network Features.
    Wei R; Li C; Fogelson N; Li L
    Front Aging Neurosci; 2016; 8():76. PubMed ID: 27148045
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Learning Brain Connectivity Sub-networks by Group- Constrained Sparse Inverse Covariance Estimation for Alzheimer's Disease Classification.
    Li Y; Liu J; Huang J; Li Z; Liang P
    Front Neuroinform; 2018; 12():58. PubMed ID: 30258358
    [No Abstract]   [Full Text] [Related]  

  • 12. 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]  

  • 13. Modeling Alzheimer's disease cognitive scores using multi-task sparse group lasso.
    Liu X; Goncalves AR; Cao P; Zhao D; Banerjee A;
    Comput Med Imaging Graph; 2018 Jun; 66():100-114. PubMed ID: 29602022
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. 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]  

  • 17. Modeling disease progression via multi-task learning.
    Zhou J; Liu J; Narayan VA; Ye J;
    Neuroimage; 2013 Sep; 78():233-48. PubMed ID: 23583359
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improving Alzheimer's Disease Classification by Combining Multiple Measures.
    Liu J; Wang J; Tang Z; Hu B; Wu FX; Pan Y
    IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(5):1649-1659. PubMed ID: 28749356
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Recent publications from the Alzheimer's Disease Neuroimaging Initiative: Reviewing progress toward improved AD clinical trials.
    Weiner MW; Veitch DP; Aisen PS; Beckett LA; Cairns NJ; Green RC; Harvey D; Jack CR; Jagust W; Morris JC; Petersen RC; Saykin AJ; Shaw LM; Toga AW; Trojanowski JQ;
    Alzheimers Dement; 2017 Apr; 13(4):e1-e85. PubMed ID: 28342697
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Sparse SPM: Group Sparse-dictionary learning in SPM framework for resting-state functional connectivity MRI analysis.
    Lee YB; Lee J; Tak S; Lee K; Na DL; Seo SW; Jeong Y; Ye JC;
    Neuroimage; 2016 Jan; 125():1032-1045. PubMed ID: 26524138
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.