BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

131 related articles for article (PubMed ID: 37027757)

  • 21. No-reference image quality assessment of magnetic resonance images with high-boost filtering and local features.
    Oszust M; Piórkowski A; Obuchowicz R
    Magn Reson Med; 2020 Sep; 84(3):1648-1660. PubMed ID: 32052485
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Blind Image Quality Assessment With Active Inference.
    Ma J; Wu J; Li L; Dong W; Xie X; Shi G; Lin W
    IEEE Trans Image Process; 2021; 30():3650-3663. PubMed ID: 33705313
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Blind Quality Assessment of Images Containing Objects of Interest.
    He W; Luo Z
    Sensors (Basel); 2023 Sep; 23(19):. PubMed ID: 37837037
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. Dynamic Receptive Field Generation for Full-Reference Image Quality Assessment.
    Kim W; Nguyen AD; Lee S; Bovik AC
    IEEE Trans Image Process; 2020 Jan; ():. PubMed ID: 31995494
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Blind Quality Estimation by Disentangling Perceptual and Noisy Features in High Dynamic Range Images.
    Kottayil NK; Valenzise G; Dufaux F; Cheng I
    IEEE Trans Image Process; 2018 Mar; 27(3):1512-1525. PubMed ID: 29990064
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Degraded Reference Image Quality Assessment.
    Athar S; Wang Z
    IEEE Trans Image Process; 2023 Jan; PP():. PubMed ID: 37018642
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment.
    Stępień I; Obuchowicz R; Piórkowski A; Oszust M
    Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33546412
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Entropy Based Data Expansion Method for Blind Image Quality Assessment.
    Guan X; He L; Li M; Li F
    Entropy (Basel); 2019 Dec; 22(1):. PubMed ID: 33285835
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Image Quality Assessment Based on Local Linear Information and Distortion-Specific Compensation.
    Hanli Wang ; Jie Fu ; Weisi Lin ; Sudeng Hu ; Jay Kuo CC; Lingxuan Zuo
    IEEE Trans Image Process; 2017 Feb; 26(2):915-926. PubMed ID: 28113319
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Image Quality Assessment: Measuring Perceptual Degradation via Distribution Measures in Deep Feature Spaces.
    Liao X; Wei X; Zhou M; Li Z; Kwong S
    IEEE Trans Image Process; 2024; 33():4044-4059. PubMed ID: 38941202
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Evaluation of motion artifacts in brain magnetic resonance images using convolutional neural network-based prediction of full-reference image quality assessment metrics.
    Sagawa H; Itagaki K; Matsushita T; Miyati T
    J Med Imaging (Bellingham); 2022 Jan; 9(1):015502. PubMed ID: 35106324
    [No Abstract]   [Full Text] [Related]  

  • 35. Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild.
    Zhang W; Ma K; Zhai G; Yang X
    IEEE Trans Image Process; 2021; 30():3474-3486. PubMed ID: 33661733
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. An Optimization-Based Family of Predictive, Fusion-Based Models for Full-Reference Image Quality Assessment.
    Varga D
    J Imaging; 2023 Jun; 9(6):. PubMed ID: 37367464
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Using HVS Dual-Pathway and Contrast Sensitivity to Blindly Assess Image Quality.
    Chen F; Fu H; Yu H; Chu Y
    Sensors (Basel); 2023 May; 23(10):. PubMed ID: 37430884
    [TBL] [Abstract][Full Text] [Related]  

  • 40. [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]  

    [Previous]   [Next]    [New Search]
    of 7.