BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

897 related articles for article (PubMed ID: 26353366)

  • 1. Co-Labeling for Multi-View Weakly Labeled Learning.
    Xu X; Li W; Xu D; Tsang IW
    IEEE Trans Pattern Anal Mach Intell; 2016 Jun; 38(6):1113-25. PubMed ID: 26353366
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Robust Semi-Supervised Traffic Sign Recognition via Self-Training and Weakly-Supervised Learning.
    Nartey OT; Yang G; Asare SK; Wu J; Frempong LN
    Sensors (Basel); 2020 May; 20(9):. PubMed ID: 32397197
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An RSVM based two-teachers-one-student semi-supervised learning algorithm.
    Chang CC; Pao HK; Lee YJ
    Neural Netw; 2012 Jan; 25(1):57-69. PubMed ID: 21802901
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Convex formulation of multiple instance learning from positive and unlabeled bags.
    Bao H; Sakai T; Sato I; Sugiyama M
    Neural Netw; 2018 Sep; 105():132-141. PubMed ID: 29804041
    [TBL] [Abstract][Full Text] [Related]  

  • 5. FaxMatch: Multi-Curriculum Pseudo-Labeling for semi-supervised medical image classification.
    Peng Z; Zhang D; Tian S; Wu W; Yu L; Zhou S; Huang S
    Med Phys; 2023 May; 50(5):3210-3222. PubMed ID: 36779849
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Visual Recognition by Learning From Web Data via Weakly Supervised Domain Generalization.
    Niu L; Li W; Xu D; Cai J
    IEEE Trans Neural Netw Learn Syst; 2017 Sep; 28(9):1985-1999. PubMed ID: 27254873
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Semi-supervised learning for tree-structured ensembles of RBF networks with Co-Training.
    Hady MF; Schwenker F; Palm G
    Neural Netw; 2010 May; 23(4):497-509. PubMed ID: 19783119
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Efficient multi-kernel multi-instance learning using weakly supervised and imbalanced data for diabetic retinopathy diagnosis.
    Cao P; Ren F; Wan C; Yang J; Zaiane O
    Comput Med Imaging Graph; 2018 Nov; 69():112-124. PubMed ID: 30237145
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep Source Semi-Supervised Transfer Learning (DS3TL) for Cross-Subject EEG Classification.
    Jiang X; Meng L; Wang Z; Wu D
    IEEE Trans Biomed Eng; 2024 Apr; 71(4):1308-1318. PubMed ID: 37971908
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Label recovery and label correlation co-learning for multi-view multi-label classification with incomplete labels.
    He ZF; Zhang CH; Liu B; Li B
    Appl Intell (Dordr); 2023; 53(8):9444-9462. PubMed ID: 35966181
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Semi-supervised training using cooperative labeling of weakly annotated data for nodule detection in chest CT.
    Maynord M; Farhangi MM; Fermüller C; Aloimonos Y; Levine G; Petrick N; Sahiner B; Pezeshk A
    Med Phys; 2023 Jul; 50(7):4255-4268. PubMed ID: 36630691
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.
    Xia Y; Yang D; Yu Z; Liu F; Cai J; Yu L; Zhu Z; Xu D; Yuille A; Roth H
    Med Image Anal; 2020 Oct; 65():101766. PubMed ID: 32623276
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Semi Supervised Learning with Deep Embedded Clustering for Image Classification and Segmentation.
    Enguehard J; O'Halloran P; Gholipour A
    IEEE Access; 2019; 7():11093-11104. PubMed ID: 31588387
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification.
    Wang X; Chen H; Xiang H; Lin H; Lin X; Heng PA
    Med Image Anal; 2021 May; 70():102010. PubMed ID: 33677262
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images.
    Wang X; Tang F; Chen H; Cheung CY; Heng PA
    Med Image Anal; 2023 Jan; 83():102673. PubMed ID: 36403310
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Weakly Semi-supervised phenotyping using Electronic Health records.
    Nogues IE; Wen J; Lin Y; Liu M; Tedeschi SK; Geva A; Cai T; Hong C
    J Biomed Inform; 2022 Oct; 134():104175. PubMed ID: 36064111
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CoTrade: Confident Co-Training With Data Editing.
    Min-Ling Zhang ; Zhi-Hua Zhou
    IEEE Trans Syst Man Cybern B Cybern; 2011 Dec; 41(6):1612-26. PubMed ID: 21708503
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Matrix Completion for Weakly-Supervised Multi-Label Image Classification.
    Cabral R; De la Torre F; Costeira JP; Bernardino A
    IEEE Trans Pattern Anal Mach Intell; 2015 Jan; 37(1):121-35. PubMed ID: 26353213
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Cross-Domain Semi-Supervised Learning Using Feature Formulation.
    Xingquan Zhu
    IEEE Trans Syst Man Cybern B Cybern; 2011 Dec; 41(6):1627-38. PubMed ID: 21712162
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Pseudo-Labeling Optimization Based Ensemble Semi-Supervised Soft Sensor in the Process Industry.
    Li Y; Jin H; Dong S; Yang B; Chen X
    Sensors (Basel); 2021 Dec; 21(24):. PubMed ID: 34960564
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 45.