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 *

112 related articles for article (PubMed ID: 37819807)

  • 41. Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning.
    Liu Z; Li Y; Yao L; Chang X; Fang W; Wu X; Saddik AE
    IEEE Trans Pattern Anal Mach Intell; 2024 Jan; 46(1):543-560. PubMed ID: 37812558
    [TBL] [Abstract][Full Text] [Related]  

  • 42. MC-GCN: A Multi-Scale Contrastive Graph Convolutional Network for Unconstrained Face Recognition With Image Sets.
    Shi X; Chai X; Xie J; Sun T
    IEEE Trans Image Process; 2022; 31():3046-3055. PubMed ID: 35385383
    [TBL] [Abstract][Full Text] [Related]  

  • 43. IPGN: Interactiveness Proposal Graph Network for Human-Object Interaction Detection.
    Wang H; Jiao L; Liu F; Li L; Liu X; Ji D; Gan W
    IEEE Trans Image Process; 2021; 30():6583-6593. PubMed ID: 34270424
    [TBL] [Abstract][Full Text] [Related]  

  • 44. Video Captioning with Object-Aware Spatio-Temporal Correlation and Aggregation.
    Zhang J; Peng Y
    IEEE Trans Image Process; 2020 Apr; ():. PubMed ID: 32356746
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Attribute-based classification for zero-shot visual object categorization.
    Lampert CH; Nickisch H; Harmeling S
    IEEE Trans Pattern Anal Mach Intell; 2014 Mar; 36(3):453-65. PubMed ID: 24457503
    [TBL] [Abstract][Full Text] [Related]  

  • 46. IMGC-GNN: A multi-granularity coupled graph neural network recommendation method based on implicit relationships.
    Hao Q; Wang C; Xiao Y; Lin H
    Appl Intell (Dordr); 2023; 53(11):14668-14689. PubMed ID: 36340421
    [TBL] [Abstract][Full Text] [Related]  

  • 47. KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning.
    An Y; Tang H; Jin B; Xu Y; Wei X
    BMC Med Inform Decis Mak; 2023 Oct; 23(1):243. PubMed ID: 37904198
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Geometry Auxiliary Salient Object Detection for Light Fields via Graph Neural Networks.
    Zhang Q; Wang S; Wang X; Sun Z; Kwong S; Jiang J
    IEEE Trans Image Process; 2021; 30():7578-7592. PubMed ID: 34469299
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Randomized Spectrum Transformations for Adapting Object Detector in Unseen Domains.
    Zhang L; Qin L; Xu M; Chen W; Pu S; Zhang W
    IEEE Trans Image Process; 2023; 32():4868-4879. PubMed ID: 37616139
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
    Chaitanya K; Erdil E; Karani N; Konukoglu E
    Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Exploiting Attribute Correlations: A Novel Trace Lasso-Based Weakly Supervised Dictionary Learning Method.
    Wu L; Wang Y; Pan S
    IEEE Trans Cybern; 2017 Dec; 47(12):4497-4508. PubMed ID: 28113537
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Knowledge-Guided Semantic Transfer Network for Few-Shot Image Recognition.
    Li Z; Tang H; Peng Z; Qi GJ; Tang J
    IEEE Trans Neural Netw Learn Syst; 2023 Feb; PP():. PubMed ID: 37022403
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Graph generative and adversarial strategy-enhanced node feature learning and self-calibrated pairwise attribute encoding for prediction of drug-related side effects.
    Xuan P; Xu K; Cui H; Nakaguchi T; Zhang T
    Front Pharmacol; 2023; 14():1257842. PubMed ID: 37731739
    [No Abstract]   [Full Text] [Related]  

  • 54. Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition.
    Jiang S; Min W; Liu L; Luo Z
    IEEE Trans Image Process; 2020; 29():265-276. PubMed ID: 31369375
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Generative Mixup Networks for Zero-Shot Learning.
    Xu B; Zeng Z; Lian C; Ding Z
    IEEE Trans Neural Netw Learn Syst; 2022 Jan; PP():. PubMed ID: 35089864
    [TBL] [Abstract][Full Text] [Related]  

  • 56. MLMG-SGG: Multilabel Scene Graph Generation With Multigrained Features.
    Li X; Miao P; Li S; Li X
    IEEE Trans Image Process; 2024; 33():1549-1559. PubMed ID: 36107903
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Explanatory Object Part Aggregation for Zero-Shot Learning.
    Chen X; Deng X; Lan Y; Long Y; Weng J; Liu Z; Tian Q
    IEEE Trans Pattern Anal Mach Intell; 2024 Feb; 46(2):851-868. PubMed ID: 37851556
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Analyzing Heterogeneous Networks With Missing Attributes by Unsupervised Contrastive Learning.
    He D; Liang C; Huo C; Feng Z; Jin D; Yang L; Zhang W
    IEEE Trans Neural Netw Learn Syst; 2024 Apr; 35(4):4438-4450. PubMed ID: 35235523
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Efficient Relative Attribute Learning using Graph Neural Networks.
    Meng Z; Adluru N; Kim HJ; Fung G; Singh V
    Comput Vis ECCV; 2018 Sep; 11218():575-590. PubMed ID: 32318687
    [TBL] [Abstract][Full Text] [Related]  

  • 60. CosG: A Graph-Based Contrastive Learning Method for Fact Verification.
    Chen C; Zheng J; Chen H
    Sensors (Basel); 2021 May; 21(10):. PubMed ID: 34065740
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.