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 *

179 related articles for article (PubMed ID: 31340511)

  • 21. A comprehensive review of deep learning-based single image super-resolution.
    Bashir SMA; Wang Y; Khan M; Niu Y
    PeerJ Comput Sci; 2021; 7():e621. PubMed ID: 34322592
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Taxonomy of multi-focal nematode image stacks by a CNN based image fusion approach.
    Liu M; Wang X; Zhang H
    Comput Methods Programs Biomed; 2018 Mar; 156():209-215. PubMed ID: 29428072
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Super-resolution reconstruction of MR image with a novel residual learning network algorithm.
    Shi J; Liu Q; Wang C; Zhang Q; Ying S; Xu H
    Phys Med Biol; 2018 Apr; 63(8):085011. PubMed ID: 29583134
    [TBL] [Abstract][Full Text] [Related]  

  • 24. High Spatial-Temporal Resolution Reconstruction of Plane-Wave Ultrasound Images With a Multichannel Multiscale Convolutional Neural Network.
    Zhou Z; Wang Y; Yu J; Guo Y; Guo W; Qi Y
    IEEE Trans Ultrason Ferroelectr Freq Control; 2018 Nov; 65(11):1983-1996. PubMed ID: 30113895
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Using Deep Learning and Low-Cost RGB and Thermal Cameras to Detect Pedestrians in Aerial Images Captured by Multirotor UAV.
    de Oliveira DC; Wehrmeister MA
    Sensors (Basel); 2018 Jul; 18(7):. PubMed ID: 30002290
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A novel biomedical image indexing and retrieval system via deep preference learning.
    Pang S; Orgun MA; Yu Z
    Comput Methods Programs Biomed; 2018 May; 158():53-69. PubMed ID: 29544790
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Deep Color Guided Coarse-to-Fine Convolutional Network Cascade for Depth Image Super-Resolution.
    Wen Y; Sheng B; Li P; Lin W; Feng DD
    IEEE Trans Image Process; 2018 Oct; ():. PubMed ID: 30296229
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Super-Resolution of Plant Disease Images for the Acceleration of Image-based Phenotyping and Vigor Diagnosis in Agriculture.
    Yamamoto K; Togami T; Yamaguchi N
    Sensors (Basel); 2017 Nov; 17(11):. PubMed ID: 29113104
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Channel Splitting Network for Single MR Image Super-Resolution.
    Zhao X; Zhang Y; Zhang T; Zou X
    IEEE Trans Image Process; 2019 Nov; 28(11):5649-5662. PubMed ID: 31217110
    [TBL] [Abstract][Full Text] [Related]  

  • 30. An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification.
    Kumar A; Kim J; Lyndon D; Fulham M; Feng D
    IEEE J Biomed Health Inform; 2017 Jan; 21(1):31-40. PubMed ID: 28114041
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Automatic recognition of 3D GGO CT imaging signs through the fusion of hybrid resampling and layer-wise fine-tuning CNNs.
    Han G; Liu X; Zheng G; Wang M; Huang S
    Med Biol Eng Comput; 2018 Dec; 56(12):2201-2212. PubMed ID: 29873026
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Fast Convolutional Neural Network Training Using Selective Data Sampling: Application to Hemorrhage Detection in Color Fundus Images.
    van Grinsven MJ; van Ginneken B; Hoyng CB; Theelen T; Sanchez CI
    IEEE Trans Med Imaging; 2016 May; 35(5):1273-1284. PubMed ID: 26886969
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Super-multiview integral imaging scheme based on sparse camera array and CNN super-resolution.
    Ren H; Wang QH; Xing Y; Zhao M; Luo L; Deng H
    Appl Opt; 2019 Feb; 58(5):A190-A196. PubMed ID: 30873977
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Machine Learning Based Single-Frame Super-Resolution Processing for Lensless Blood Cell Counting.
    Huang X; Jiang Y; Liu X; Xu H; Han Z; Rong H; Yang H; Yan M; Yu H
    Sensors (Basel); 2016 Nov; 16(11):. PubMed ID: 27827837
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Edge-Enhanced with Feedback Attention Network for Image Super-Resolution.
    Fu C; Yin Y
    Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33804241
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Infrared Image Super Resolution by Combining Compressive Sensing and Deep Learning.
    Zhang X; Li C; Meng Q; Liu S; Zhang Y; Wang J
    Sensors (Basel); 2018 Aug; 18(8):. PubMed ID: 30087286
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Image reconstructions from super-sampled data sets with resolution modeling in PET imaging.
    Li Y; Matej S; Metzler SD
    Med Phys; 2014 Dec; 41(12):121912. PubMed ID: 25471972
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Deep Convolutional Neural Network for Mapping Smallholder Agriculture Using High Spatial Resolution Satellite Image.
    Xie B; Zhang HK; Xue J
    Sensors (Basel); 2019 May; 19(10):. PubMed ID: 31130667
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Multiple Cycle-in-Cycle Generative Adversarial Networks for Unsupervised Image Super-Resolution.
    Zhang Y; Liu S; Dong C; Zhang X; Yuan Y
    IEEE Trans Image Process; 2019 Sep; ():. PubMed ID: 31502972
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Learning Discrete Representations From Reference Images for Large Scale Factor Image Super-Resolution.
    Sun W; Chen Z
    IEEE Trans Image Process; 2022; 31():1490-1503. PubMed ID: 35050855
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.