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 *

104 related articles for article (PubMed ID: 37030781)

  • 1. FAM3L: Feature-Aware Multi-Modal Metric Learning for Integrative Survival Analysis of Human Cancers.
    Shao W; Liu J; Zuo Y; Qi S; Hong H; Sheng J; Zhu Q; Zhang D
    IEEE Trans Med Imaging; 2023 Sep; 42(9):2552-2565. PubMed ID: 37030781
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multi-task multi-modal learning for joint diagnosis and prognosis of human cancers.
    Shao W; Wang T; Sun L; Dong T; Han Z; Huang Z; Zhang J; Zhang D; Huang K
    Med Image Anal; 2020 Oct; 65():101795. PubMed ID: 32745975
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction.
    Tan K; Huang W; Liu X; Hu J; Dong S
    Artif Intell Med; 2022 Apr; 126():102260. PubMed ID: 35346442
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Relation-Aware Shared Representation Learning for Cancer Prognosis Analysis With Auxiliary Clinical Variables and Incomplete Multi-Modality Data.
    Ning Z; Du D; Tu C; Feng Q; Zhang Y
    IEEE Trans Med Imaging; 2022 Jan; 41(1):186-198. PubMed ID: 34460368
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Integrative Analysis of Pathological Images and Multi-Dimensional Genomic Data for Early-Stage Cancer Prognosis.
    Shao W; Han Z; Cheng J; Cheng L; Wang T; Sun L; Lu Z; Zhang J; Zhang D; Huang K
    IEEE Trans Med Imaging; 2020 Jan; 39(1):99-110. PubMed ID: 31170067
    [TBL] [Abstract][Full Text] [Related]  

  • 6. TransSurv: Transformer-Based Survival Analysis Model Integrating Histopathological Images and Genomic Data for Colorectal Cancer.
    Lv Z; Lin Y; Yan R; Wang Y; Zhang F
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(6):3411-3420. PubMed ID: 35976825
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data.
    Ning Z; Lin Z; Xiao Q; Du D; Feng Q; Chen W; Zhang Y
    IEEE Trans Neural Netw Learn Syst; 2023 Jul; 34(7):3737-3750. PubMed ID: 34596560
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Characterizing the Survival-Associated Interactions Between Tumor-Infiltrating Lymphocytes and Tumors From Pathological Images and Multi-Omics Data.
    Shao W; Zuo Y; Shi Y; Wu Y; Tang J; Zhao J; Sun L; Lu Z; Sheng J; Zhu Q; Zhang D
    IEEE Trans Med Imaging; 2023 Oct; 42(10):3025-3035. PubMed ID: 37159321
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multi-Channel 3D Deep Feature Learning for Survival Time Prediction of Brain Tumor Patients Using Multi-Modal Neuroimages.
    Nie D; Lu J; Zhang H; Adeli E; Wang J; Yu Z; Liu L; Wang Q; Wu J; Shen D
    Sci Rep; 2019 Jan; 9(1):1103. PubMed ID: 30705340
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Adaptive risk-aware sharable and individual subspace learning for cancer survival analysis with multi-modality data.
    Zhao Z; Feng Q; Zhang Y; Ning Z
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36433784
    [TBL] [Abstract][Full Text] [Related]  

  • 11. PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using Histopathological Images and Genomic Data.
    Hao J; Kosaraju SC; Tsaku NZ; Song DH; Kang M
    Pac Symp Biocomput; 2020; 25():355-366. PubMed ID: 31797610
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Subtype identification from heterogeneous TCGA datasets on a genomic scale by multi-view clustering with enhanced consensus.
    Cai M; Li L
    BMC Med Genomics; 2017 Dec; 10(Suppl 4):75. PubMed ID: 29322925
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting censored survival data based on the interactions between meta-dimensional omics data in breast cancer.
    Kim D; Li R; Dudek SM; Ritchie MD
    J Biomed Inform; 2015 Aug; 56():220-8. PubMed ID: 26048077
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Sharable and Individual Multi-View Metric Learning.
    Hu J; Lu J; Tan YP
    IEEE Trans Pattern Anal Mach Intell; 2018 Sep; 40(9):2281-2288. PubMed ID: 28885151
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multi-label feature selection based on HSIC and sparrow search algorithm.
    Wang T; Zhou H; Liu H
    Math Biosci Eng; 2023 Jun; 20(8):14201-14221. PubMed ID: 37679132
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Integrating multi-omics data through deep learning for accurate cancer prognosis prediction.
    Chai H; Zhou X; Zhang Z; Rao J; Zhao H; Yang Y
    Comput Biol Med; 2021 Jul; 134():104481. PubMed ID: 33989895
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Person Re-Identification With Metric Learning Using Privileged Information.
    Xun Yang ; Meng Wang ; Dacheng Tao
    IEEE Trans Image Process; 2018 Feb; 27(2):791-805. PubMed ID: 29757732
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Dynamic guided metric representation learning for multi-view clustering.
    Zheng T; Zhang Y; Wang Y
    PeerJ Comput Sci; 2022; 8():e922. PubMed ID: 35494795
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning based feature-level integration of multi-omics data for breast cancer patients survival analysis.
    Tong L; Mitchel J; Chatlin K; Wang MD
    BMC Med Inform Decis Mak; 2020 Sep; 20(1):225. PubMed ID: 32933515
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Self-Supervised Multi-Modal Hybrid Fusion Network for Brain Tumor Segmentation.
    Fang F; Yao Y; Zhou T; Xie G; Lu J
    IEEE J Biomed Health Inform; 2022 Nov; 26(11):5310-5320. PubMed ID: 34478389
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.