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 *

87 related articles for article (PubMed ID: 31945896)

  • 1. Joint and Long Short-Term Memory Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal Data.
    Yang M; Elazab A; Yang P; Xia Z; Wang T; Lei B
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():281-284. PubMed ID: 31945896
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Join and Deep Ensemble Regression of Clinical Scores for Alzheimer's Disease Using Longitudinal and Incomplete Data.
    Yang M; Yang P; Elazab A; Hou W; Li X; Wang T; Zou W; Lei B
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():1254-1257. PubMed ID: 30440618
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. RNN-based longitudinal analysis for diagnosis of Alzheimer's disease.
    Cui R; Liu M;
    Comput Med Imaging Graph; 2019 Apr; 73():1-10. PubMed ID: 30763637
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Ranking convolutional neural network for Alzheimer's disease mini-mental state examination prediction at multiple time-points.
    Qiao H; Chen L; Zhu F
    Comput Methods Programs Biomed; 2022 Jan; 213():106503. PubMed ID: 34798407
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Longitudinal Analysis for Disease Progression via Simultaneous Multi-Relational Temporal-Fused Learning.
    Lei B; Jiang F; Chen S; Ni D; Wang T
    Front Aging Neurosci; 2017; 9():6. PubMed ID: 28316569
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Multi-task exclusive relationship learning for alzheimer's disease progression prediction with longitudinal data.
    Wang M; Zhang D; Shen D; Liu M
    Med Image Anal; 2019 Apr; 53():111-122. PubMed ID: 30763830
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. 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]  

  • 13. 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]  

  • 14. 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]  

  • 15. 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]  

  • 16. Predicting Alzheimer's disease progression using deep recurrent neural networks.
    Nguyen M; He T; An L; Alexander DC; Feng J; Yeo BTT;
    Neuroimage; 2020 Nov; 222():117203. PubMed ID: 32763427
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Spatio-temporal Tensor Multi-Task Learning for Predicting Alzheimer's Disease in a Longitudinal study.
    Zhang Y; Zhou M; Liu T; Lanfranchi V; Yang P
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():979-985. PubMed ID: 36086566
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of Memory Impairment with MRI Data: A Longitudinal Study of Alzheimer's Disease.
    Wang X; Shen D; Huang H
    Med Image Comput Comput Assist Interv; 2016 Oct; 9900():273-281. PubMed ID: 28149965
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network.
    Liang W; Zhang K; Cao P; Liu X; Yang J; Zaiane O
    Comput Biol Med; 2021 Nov; 138():104935. PubMed ID: 34656869
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Hypergraph convolutional network for longitudinal data analysis in Alzheimer's disease.
    Hao X; Li J; Ma M; Qin J; Zhang D; Liu F;
    Comput Biol Med; 2024 Jan; 168():107765. PubMed ID: 38042101
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.