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 *

206 related articles for article (PubMed ID: 32428043)

  • 1. 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]  

  • 2. Modified-BRISQUE as no reference image quality assessment for structural MR images.
    Chow LS; Rajagopal H
    Magn Reson Imaging; 2017 Nov; 43():74-87. PubMed ID: 28716679
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Correlation between subjective and objective assessment of magnetic resonance (MR) images.
    Chow LS; Rajagopal H; Paramesran R;
    Magn Reson Imaging; 2016 Jul; 34(6):820-831. PubMed ID: 26969762
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Applicability Evaluation of Full-Reference Image Quality Assessment Methods for Computed Tomography Images.
    Ohashi K; Nagatani Y; Yoshigoe M; Iwai K; Tsuchiya K; Hino A; Kida Y; Yamazaki A; Ishida T
    J Digit Imaging; 2023 Dec; 36(6):2623-2634. PubMed ID: 37550519
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Medical Image Quality Assessment Using CSO Based Deep Neural Network.
    Jayageetha J; Vasanthanayaki C
    J Med Syst; 2018 Oct; 42(11):224. PubMed ID: 30288616
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. No-reference image quality assessment in the spatial domain.
    Mittal A; Moorthy AK; Bovik AC
    IEEE Trans Image Process; 2012 Dec; 21(12):4695-708. PubMed ID: 22910118
    [TBL] [Abstract][Full Text] [Related]  

  • 9. FSIM: a feature similarity index for image quality assessment.
    Zhang L; Zhang L; Mou X; Zhang D
    IEEE Trans Image Process; 2011 Aug; 20(8):2378-86. PubMed ID: 21292594
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Application-Driven No-Reference Quality Assessment for Dermoscopy Images With Multiple Distortions.
    Xie F; Lu Y; Bovik AC; Jiang Z; Meng R
    IEEE Trans Biomed Eng; 2016 Jun; 63(6):1248-56. PubMed ID: 26513774
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [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]  

  • 12. Comparison-Based Image Quality Assessment for Selecting Image Restoration Parameters.
    Liang H; Weller DS
    IEEE Trans Image Process; 2016 Nov; 25(11):5118-5130. PubMed ID: 27552759
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Deep CNN-Based Blind Image Quality Predictor.
    Kim J; Nguyen AD; Lee S
    IEEE Trans Neural Netw Learn Syst; 2019 Jan; 30(1):11-24. PubMed ID: 29994270
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Learning Deep Blind Quality Assessment for Cartoon Images.
    Chen Y; Zhao Y; Cao L; Jia W; Liu X
    IEEE Trans Neural Netw Learn Syst; 2023 Sep; 34(9):6650-6655. PubMed ID: 34847046
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. 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]  

  • 20. VSI: a visual saliency-induced index for perceptual image quality assessment.
    Zhang L; Shen Y; Li H
    IEEE Trans Image Process; 2014 Oct; 23(10):4270-81. PubMed ID: 25122572
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.