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 *

113 related articles for article (PubMed ID: 38691435)

  • 1. Deep Feature Statistics Mapping for Generalized Screen Content Image Quality Assessment.
    Chen B; Zhu H; Zhu L; Wang S; Kwong S
    IEEE Trans Image Process; 2024; 33():3227-3241. PubMed ID: 38691435
    [TBL] [Abstract][Full Text] [Related]  

  • 2. No-Reference Image Quality Assessment by Hallucinating Pristine Features.
    Chen B; Zhu L; Kong C; Zhu H; Wang S; Li Z
    IEEE Trans Image Process; 2022; 31():6139-6151. PubMed ID: 36112560
    [TBL] [Abstract][Full Text] [Related]  

  • 3. No-Reference Screen Content Image Quality Assessment With Unsupervised Domain Adaptation.
    Chen B; Li H; Fan H; Wang S
    IEEE Trans Image Process; 2021; 30():5463-5476. PubMed ID: 34086572
    [TBL] [Abstract][Full Text] [Related]  

  • 4. ESIM: Edge Similarity for Screen Content Image Quality Assessment.
    Ni Z; Ma L; Zeng H; Chen J; Cai C; Ma KK
    IEEE Trans Image Process; 2017 Oct; 26(10):4818-4831. PubMed ID: 28644808
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Blind image quality assessment: from natural scene statistics to perceptual quality.
    Moorthy AK; Bovik AC
    IEEE Trans Image Process; 2011 Dec; 20(12):3350-64. PubMed ID: 21521667
    [TBL] [Abstract][Full Text] [Related]  

  • 6. No-reference image quality assessment using visual codebooks.
    Ye P; Doermann D
    IEEE Trans Image Process; 2012 Jul; 21(7):3129-38. PubMed ID: 22410336
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Universal blind image quality assessment metrics via natural scene statistics and multiple kernel learning.
    Gao X; Gao F; Tao D; Li X
    IEEE Trans Neural Netw Learn Syst; 2013 Dec; 24(12):2013-26. PubMed ID: 24805219
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Blind Deep S3D Image Quality Evaluation via Local to Global Feature Aggregation.
    Heeseok Oh ; Sewoong Ahn ; Jongyoo Kim ; Sanghoon Lee
    IEEE Trans Image Process; 2017 Oct; 26(10):4923-4936. PubMed ID: 28708557
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A novel algorithm for comprehensive quality assessment of clinical magnetic resonance images based on natural scene statistics in spatial domain.
    Ikushima Y; Tokurei S; Tarewaki H; Morishita J; Yabuuchi H
    Magn Reson Imaging; 2022 Oct; 92():203-211. PubMed ID: 35842195
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Perceptual Quality Assessment of Screen Content Images.
    Yang H; Fang Y; Lin W
    IEEE Trans Image Process; 2015 Nov; 24(11):4408-21. PubMed ID: 26259078
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Soft-Reference Breast Ultrasound Image Quality Assessment Method That Considers the Local Lesion Area.
    Wang Z; Song Y; Zhao B; Zhong Z; Yao L; Lv F; Li B; Hu Y
    Bioengineering (Basel); 2023 Aug; 10(8):. PubMed ID: 37627825
    [TBL] [Abstract][Full Text] [Related]  

  • 12. VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment.
    Pan Z; Yuan F; Lei J; Fang Y; Shao X; Kwong S
    IEEE Trans Image Process; 2022; 31():1613-1627. PubMed ID: 35081029
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Gabor Feature-Based Quality Assessment Model for the Screen Content Images.
    Ni Z; Zeng H; Ma L; Hou J; Chen J; Ma KK
    IEEE Trans Image Process; 2018 Sep; 27(9):4516-4528. PubMed ID: 29897876
    [TBL] [Abstract][Full Text] [Related]  

  • 14. IE-IQA: Intelligibility Enriched Generalizable No-Reference Image Quality Assessment.
    Song T; Li L; Zhu H; Qian J
    Front Neurosci; 2021; 15():739138. PubMed ID: 34744610
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Human Visual System Inspired No-Reference Image Quality Assessment Method Based on Local Feature Descriptors.
    Varga D
    Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146123
    [TBL] [Abstract][Full Text] [Related]  

  • 16. No-reference quality assessment for image-based assessment of economically important tropical woods.
    Rajagopal H; Mokhtar N; Tengku Mohmed Noor Izam TF; Wan Ahmad WK
    PLoS One; 2020; 15(5):e0233320. PubMed ID: 32428043
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DLNR-SIQA: Deep Learning-Based No-Reference Stitched Image Quality Assessment.
    Ullah H; Irfan M; Han K; Lee JW
    Sensors (Basel); 2020 Nov; 20(22):. PubMed ID: 33198159
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A deep learning-based automatic image quality assessment method for respiratory phase on computed tomography chest images.
    Su J; Li M; Lin Y; Xiong L; Yuan C; Zhou Z; Yan K
    Quant Imaging Med Surg; 2024 Mar; 14(3):2240-2254. PubMed ID: 38545050
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [CT image quality assessment based on prior information of pre-restored images].
    Gao Q; Zhu M; Li D; Bian Z; Ma J
    Nan Fang Yi Ke Da Xue Xue Bao; 2021 Feb; 41(2):230-237. PubMed ID: 33624596
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment.
    Bosse S; Maniry D; Muller KR; Wiegand T; Samek W
    IEEE Trans Image Process; 2018 Jan; 27(1):206-219. PubMed ID: 29028191
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.