BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

30 related articles for article (PubMed ID: 37407688)

  • 1. Image Coding with Data-Driven Transforms: Methodology, Performance and Potential.
    Zhang X; Yang C; Li X; Liu S; Yang H; Katsavounidis I; Lei SM; Kuo CJ
    IEEE Trans Image Process; 2020 Sep; PP():. PubMed ID: 32970598
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Magnetic Resonance Image Quality Assessment by Using Non-Maximum Suppression and Entropy Analysis.
    Obuchowicz R; Oszust M; Bielecka M; Bielecki A; PiĆ³rkowski A
    Entropy (Basel); 2020 Feb; 22(2):. PubMed ID: 33285994
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Task-Specific Normalization for Continual Learning of Blind Image Quality Models.
    Zhang W; Ma K; Zhai G; Yang X
    IEEE Trans Image Process; 2024; 33():1898-1910. PubMed ID: 38451761
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Blind Mesh Assessment Based on Graph Spectral Entropy and Spatial Features.
    Lin Y; Yu M; Chen K; Jiang G; Chen F; Peng Z
    Entropy (Basel); 2020 Feb; 22(2):. PubMed ID: 33285965
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Unsupervised blind image quality assessment via joint spatial and transform features.
    Yang C; He Q; An P
    Sci Rep; 2023 Jul; 13(1):10865. PubMed ID: 37407688
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Blind image quality assessment using joint statistics of gradient magnitude and Laplacian features.
    Xue W; Mou X; Zhang L; Bovik AC; Feng X
    IEEE Trans Image Process; 2014 Nov; 23(11):4850-62. PubMed ID: 25216482
    [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. A feature-enriched completely blind image quality evaluator.
    Lin Zhang ; Lei Zhang ; Bovik AC
    IEEE Trans Image Process; 2015 Aug; 24(8):2579-91. PubMed ID: 25915960
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Blind Image Quality Assessment of Natural Scenes Based on Entropy Differences in the DCT Domain.
    Yang X; Li F; Zhang W; He L
    Entropy (Basel); 2018 Nov; 20(11):. PubMed ID: 33266610
    [TBL] [Abstract][Full Text] [Related]  

  • 10. dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs.
    Kede Ma ; Wentao Liu ; Tongliang Liu ; Zhou Wang ; Dacheng Tao
    IEEE Trans Image Process; 2017 Aug; 26(8):3951-3964. PubMed ID: 28574353
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Attention-Guided Neural Networks for Full-Reference and No-Reference Audio-Visual Quality Assessment.
    Cao Y; Min X; Sun W; Zhai G
    IEEE Trans Image Process; 2023 Mar; PP():. PubMed ID: 37030730
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Multiscale Approach to Deep Blind Image Quality Assessment.
    Liu M; Huang J; Zeng D; Ding X; Paisley J
    IEEE Trans Image Process; 2023 Feb; PP():. PubMed ID: 37027757
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 15.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 16.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 17.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 18.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 19.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 2.