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 *

115 related articles for article (PubMed ID: 36805266)

  • 1. The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data.
    Tsvetkov C; Malhotra G; Evans BD; Bowers JS
    Neural Netw; 2023 Apr; 161():515-524. PubMed ID: 36805266
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Biological convolutions improve DNN robustness to noise and generalisation.
    Evans BD; Malhotra G; Bowers JS
    Neural Netw; 2022 Apr; 148():96-110. PubMed ID: 35114495
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Biologically motivated learning method for deep neural networks using hierarchical competitive learning.
    Shinozaki T
    Neural Netw; 2021 Dec; 144():271-278. PubMed ID: 34520937
    [TBL] [Abstract][Full Text] [Related]  

  • 4. From convolutional neural networks to models of higher-level cognition (and back again).
    Battleday RM; Peterson JC; Griffiths TL
    Ann N Y Acad Sci; 2021 Dec; 1505(1):55-78. PubMed ID: 33754368
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A failure to learn object shape geometry: Implications for convolutional neural networks as plausible models of biological vision.
    Heinke D; Wachman P; van Zoest W; Leek EC
    Vision Res; 2021 Dec; 189():81-92. PubMed ID: 34634753
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Hiding a plane with a pixel: examining shape-bias in CNNs and the benefit of building in biological constraints.
    Malhotra G; Evans BD; Bowers JS
    Vision Res; 2020 Sep; 174():57-68. PubMed ID: 32599343
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks.
    Yan Q; Zheng Y; Jia S; Zhang Y; Yu Z; Chen F; Tian Y; Huang T; Liu JK
    IEEE Trans Cybern; 2022 Jan; 52(1):39-50. PubMed ID: 32167923
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Generalization analysis of deep CNNs under maximum correntropy criterion.
    Zhang Y; Fang Z; Fan J
    Neural Netw; 2024 Jun; 174():106226. PubMed ID: 38490117
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep Convolutional Neural Networks for large-scale speech tasks.
    Sainath TN; Kingsbury B; Saon G; Soltau H; Mohamed AR; Dahl G; Ramabhadran B
    Neural Netw; 2015 Apr; 64():39-48. PubMed ID: 25439765
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Research and Application of Ancient Chinese Pattern Restoration Based on Deep Convolutional Neural Network.
    Fu X
    Comput Intell Neurosci; 2021; 2021():2691346. PubMed ID: 34925485
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. A deep dive into understanding tumor foci classification using multiparametric MRI based on convolutional neural network.
    Zong W; Lee JK; Liu C; Carver EN; Feldman AM; Janic B; Elshaikh MA; Pantelic MV; Hearshen D; Chetty IJ; Movsas B; Wen N
    Med Phys; 2020 Sep; 47(9):4077-4086. PubMed ID: 32449176
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling.
    Passalis N; Tefas A
    IEEE Trans Neural Netw Learn Syst; 2019 Jun; 30(6):1705-1715. PubMed ID: 30369453
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Addi-Reg: A Better Generalization-Optimization Tradeoff Regularization Method for Convolutional Neural Networks.
    Lu Y; Zhang Z; Lu G; Zhou Y; Li J; Zhang D
    IEEE Trans Cybern; 2022 Oct; 52(10):10827-10842. PubMed ID: 33750731
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future.
    Lindsay GW
    J Cogn Neurosci; 2021 Sep; 33(10):2017-2031. PubMed ID: 32027584
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Representations of regular and irregular shapes by deep Convolutional Neural Networks, monkey inferotemporal neurons and human judgments.
    Kalfas I; Vinken K; Vogels R
    PLoS Comput Biol; 2018 Oct; 14(10):e1006557. PubMed ID: 30365485
    [TBL] [Abstract][Full Text] [Related]  

  • 18. From photos to sketches - how humans and deep neural networks process objects across different levels of visual abstraction.
    Singer JJD; Seeliger K; Kietzmann TC; Hebart MN
    J Vis; 2022 Feb; 22(2):4. PubMed ID: 35129578
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A biologically inspired architecture with switching units can learn to generalize across backgrounds.
    Voina D; Shea-Brown E; Mihalas S
    Neural Netw; 2023 Nov; 168():615-630. PubMed ID: 37839332
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images.
    Hu W; Zhang Y; Li L
    Sensors (Basel); 2019 Aug; 19(16):. PubMed ID: 31426516
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.