BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

351 related articles for article (PubMed ID: 34438195)

  • 1. Hebbian semi-supervised learning in a sample efficiency setting.
    Lagani G; Falchi F; Gennaro C; Amato G
    Neural Netw; 2021 Nov; 143():719-731. PubMed ID: 34438195
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A unified deep semi-supervised graph learning scheme based on nodes re-weighting and manifold regularization.
    Dornaika F; Bi J; Zhang C
    Neural Netw; 2023 Jan; 158():188-196. PubMed ID: 36462365
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A multi-task and multi-channel convolutional neural network for semi-supervised neonatal artefact detection.
    Hermans T; Smets L; Lemmens K; Dereymaeker A; Jansen K; Naulaers G; Zappasodi F; Van Huffel S; Comani S; De Vos M
    J Neural Eng; 2023 Mar; 20(2):. PubMed ID: 36791462
    [No Abstract]   [Full Text] [Related]  

  • 4. Learning image features with fewer labels using a semi-supervised deep convolutional network.
    Dos Santos FP; Zor C; Kittler J; Ponti MA
    Neural Netw; 2020 Dec; 132():131-143. PubMed ID: 32871338
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Exploring semi-supervised variational autoencoders for biomedical relation extraction.
    Zhang Y; Lu Z
    Methods; 2019 Aug; 166():112-119. PubMed ID: 30822516
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
    Marini N; Otálora S; Müller H; Atzori M
    Med Image Anal; 2021 Oct; 73():102165. PubMed ID: 34303169
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Semi-Supervised Deep Learning Using Pseudo Labels for Hyperspectral Image Classification.
    Hao Wu ; Prasad S
    IEEE Trans Image Process; 2018 Mar; 27(3):1259-1270. PubMed ID: 29990156
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.
    Burton W; Myers C; Rullkoetter P
    Comput Methods Programs Biomed; 2020 Jun; 189():105328. PubMed ID: 31958580
    [TBL] [Abstract][Full Text] [Related]  

  • 9. CAESNet: Convolutional AutoEncoder based Semi-supervised Network for improving multiclass classification of endomicroscopic images.
    Tong L; Wu H; Wang MD
    J Am Med Inform Assoc; 2019 Nov; 26(11):1286-1296. PubMed ID: 31260038
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning.
    Lee C; Panda P; Srinivasan G; Roy K
    Front Neurosci; 2018; 12():435. PubMed ID: 30123103
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep semi-supervised learning ensemble framework for classifying co-mentions of human proteins and phenotypes.
    Pourreza Shahri M; Kahanda I
    BMC Bioinformatics; 2021 Oct; 22(1):500. PubMed ID: 34656098
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Accelerating DNN Training Through Selective Localized Learning.
    Krithivasan S; Sen S; Venkataramani S; Raghunathan A
    Front Neurosci; 2021; 15():759807. PubMed ID: 35087370
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Semi-Supervised Analysis of the Electrocardiogram Using Deep Generative Models.
    Rasmussen SM; Jensen MEK; Meyhoff CS; Aasvang EK; Slrensen HBD
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():1124-1127. PubMed ID: 34891485
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-class motor imagery EEG classification using collaborative representation-based semi-supervised extreme learning machine.
    She Q; Zou J; Luo Z; Nguyen T; Li R; Zhang Y
    Med Biol Eng Comput; 2020 Sep; 58(9):2119-2130. PubMed ID: 32676841
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Graph Convolution Networks with manifold regularization for semi-supervised learning.
    Kejani MT; Dornaika F; Talebi H
    Neural Netw; 2020 Jul; 127():160-167. PubMed ID: 32361546
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A novel candidate disease gene prioritization method using deep graph convolutional networks and semi-supervised learning.
    Azadifar S; Ahmadi A
    BMC Bioinformatics; 2022 Oct; 23(1):422. PubMed ID: 36241966
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep semi-supervised learning via dynamic anchor graph embedding in latent space.
    Tu E; Wang Z; Yang J; Kasabov N
    Neural Netw; 2022 Feb; 146():350-360. PubMed ID: 34929418
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Gait Recognition with Self-Supervised Learning of Gait Features Based on Vision Transformers.
    Pinčić D; Sušanj D; Lenac K
    Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236238
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.