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Journal Abstract Search
379 related items for PubMed ID: 21414834
1. 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]
2. 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]
3. 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]
4. 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]
6. Image denoising using trivariate shrinkage filter in the wavelet domain and joint bilateral filter in the spatial domain. Yu H, Zhao L, Wang H. IEEE Trans Image Process; 2009 Oct; 18(10):2364-9. PubMed ID: 19586815 [Abstract] [Full Text] [Related]
7. Noise-driven anisotropic diffusion filtering of MRI. Krissian K, Aja-Fernández S. IEEE Trans Image Process; 2009 Oct; 18(10):2265-74. PubMed ID: 19546041 [Abstract] [Full Text] [Related]
10. Component analysis approach to estimation of tissue intensity distributions of 3D images. Zagorodnov V, Ciptadi A. IEEE Trans Med Imaging; 2011 Mar; 30(3):838-48. PubMed ID: 21172751 [Abstract] [Full Text] [Related]
11. Nonlinear denoising and analysis of neuroimages with kernel principal component analysis and pre-image estimation. Rasmussen PM, Abrahamsen TJ, Madsen KH, Hansen LK. Neuroimage; 2012 Apr 15; 60(3):1807-18. PubMed ID: 22305952 [Abstract] [Full Text] [Related]
13. Robust Rician noise estimation for MR images. Coupé P, Manjón JV, Gedamu E, Arnold D, Robles M, Collins DL. Med Image Anal; 2010 Aug 15; 14(4):483-93. PubMed ID: 20417148 [Abstract] [Full Text] [Related]
14. 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 15; 16(1):18-27. PubMed ID: 21570894 [Abstract] [Full Text] [Related]
15. Iterative kernel principal component analysis for image modeling. Kim KI, Franz MO, Schölkopf B. IEEE Trans Pattern Anal Mach Intell; 2005 Sep 15; 27(9):1351-66. PubMed ID: 16173181 [Abstract] [Full Text] [Related]