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Journal Abstract Search
399 related items for PubMed ID: 25725303
1. MRI noise estimation and denoising using non-local PCA. Manjón JV, Coupé P, Buades A. Med Image Anal; 2015 May; 22(1):35-47. PubMed ID: 25725303 [Abstract] [Full Text] [Related]
2. Adaptive non-local means denoising of MR images with spatially varying noise levels. Manjón JV, Coupé P, Martí-Bonmatí L, Collins DL, Robles M. J Magn Reson Imaging; 2010 Jan; 31(1):192-203. PubMed ID: 20027588 [Abstract] [Full Text] [Related]
3. New methods for MRI denoising based on sparseness and self-similarity. Manjón JV, Coupé P, Buades A, Louis Collins D, Robles M. Med Image Anal; 2012 Jan; 16(1):18-27. PubMed ID: 21570894 [Abstract] [Full Text] [Related]
4. Denoising 3D MR images by the enhanced non-local means filter for Rician noise. Liu H, Yang C, Pan N, Song E, Green R. Magn Reson Imaging; 2010 Dec; 28(10):1485-96. PubMed ID: 20850239 [Abstract] [Full Text] [Related]
5. Noise and signal estimation in magnitude MRI and Rician distributed images: a LMMSE approach. Aja-Fernandez S, Alberola-Lopez C, Westin CF. IEEE Trans Image Process; 2008 Aug; 17(8):1383-98. PubMed ID: 18632347 [Abstract] [Full Text] [Related]
6. Robust Rician noise estimation for MR images. Coupé P, Manjón JV, Gedamu E, Arnold D, Robles M, Collins DL. Med Image Anal; 2010 Aug; 14(4):483-93. PubMed ID: 20417148 [Abstract] [Full Text] [Related]
7. Self-adaptive image denoising based on bidimensional empirical mode decomposition (BEMD). Guo S, Luan F, Song X, Li C. Biomed Mater Eng; 2014 Aug; 24(6):3215-22. PubMed ID: 25227030 [Abstract] [Full Text] [Related]
8. Denoising of 3D magnetic resonance images by using higher-order singular value decomposition. Zhang X, Xu Z, Jia N, Yang W, Feng Q, Chen W, Feng Y. Med Image Anal; 2015 Jan; 19(1):75-86. PubMed ID: 25291148 [Abstract] [Full Text] [Related]
9. Nonparametric neighborhood statistics for MRI denoising. Awate SP, Whitaker RT. Inf Process Med Imaging; 2005 Jan; 19():677-88. PubMed ID: 17354735 [Abstract] [Full Text] [Related]
10. Kernel regression based feature extraction for 3D MR image denoising. López-Rubio E, Florentín-Núñez MN. Med Image Anal; 2011 Aug; 15(4):498-513. PubMed ID: 21414834 [Abstract] [Full Text] [Related]
11. High-SNR multiple T2 (*)-contrast magnetic resonance imaging using a robust denoising method based on tissue characteristics. Eo T, Kim T, Jun Y, Lee H, Ahn SS, Kim DH, Hwang D. J Magn Reson Imaging; 2017 Jun; 45(6):1835-1845. PubMed ID: 27635526 [Abstract] [Full Text] [Related]
12. Feature-preserving MRI denoising: a nonparametric empirical Bayes approach. Awate SP, Whitaker RT. IEEE Trans Med Imaging; 2007 Sep; 26(9):1242-55. PubMed ID: 17896596 [Abstract] [Full Text] [Related]
13. Generalized total variation-based MRI Rician denoising model with spatially adaptive regularization parameters. Liu RW, Shi L, Huang W, Xu J, Yu SC, Wang D. Magn Reson Imaging; 2014 Jul; 32(6):702-20. PubMed ID: 24746774 [Abstract] [Full Text] [Related]
14. Quasi-Monte Carlo estimation approach for denoising MRI data based on regional statistics. Wong A, Mishra AK. IEEE Trans Biomed Eng; 2011 Apr; 58(4):1076-83. PubMed ID: 20442039 [Abstract] [Full Text] [Related]