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Items: 1 to 20 of 48

1.

Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time.

Lysaker M, Lundervold A, Tai XC.

IEEE Trans Image Process. 2003;12(12):1579-90. doi: 10.1109/TIP.2003.819229.

PMID:
18244712
2.

A wavelet-based method for improving signal-to-noise ratio and contrast in MR images.

Alexander ME, Baumgartner R, Summers AR, Windischberger C, Klarhoefer M, Moser E, Somorjai RL.

Magn Reson Imaging. 2000 Feb;18(2):169-80.

PMID:
10722977
3.
4.

Denoising functional MR images: a comparison of wavelet denoising and Gaussian smoothing.

Wink AM, Roerdink JB.

IEEE Trans Med Imaging. 2004 Mar;23(3):374-87.

PMID:
15027530
5.

PDE-based random-valued impulse noise removal based on new class of controlling functions.

Wu J, Tang C.

IEEE Trans Image Process. 2011 Sep;20(9):2428-38. doi: 10.1109/TIP.2011.2131664. Epub 2011 Mar 24.

PMID:
21435980
6.

Fourth-order partial differential equations for noise removal.

You YL, Kaveh M.

IEEE Trans Image Process. 2000;9(10):1723-30. doi: 10.1109/83.869184.

PMID:
18262911
8.

Estimating intensity variance due to noise in registered images: applications to diffusion tensor MRI.

Rohde GK, Barnett AS, Basser PJ, Pierpaoli C.

Neuroimage. 2005 Jul 1;26(3):673-84. Epub 2005 Apr 7.

PMID:
15955477
9.

Knowledge-based tensor anisotropic diffusion of cardiac magnetic resonance images.

Sanchez-Ortiz GI, Rueckert D, Burger P.

Med Image Anal. 1999 Mar;3(1):77-101.

PMID:
10709698
10.

Cerebral magnetic resonance image synthesis.

Bobman SA, Riederer SJ, Lee JN, Suddarth SA, Wang HZ, Drayer BP, MacFall JR.

AJNR Am J Neuroradiol. 1985 Mar-Apr;6(2):265-9.

PMID:
2984911
11.

Fractional-order anisotropic diffusion for image denoising.

Bai J, Feng XC.

IEEE Trans Image Process. 2007 Oct;16(10):2492-502.

PMID:
17926931
12.

Clinical DT-MRI estimation, smoothing, and fiber tracking with log-Euclidean metrics.

Fillard P, Pennec X, Arsigny V, Ayache N.

IEEE Trans Med Imaging. 2007 Nov;26(11):1472-82.

PMID:
18041263
13.

Wavelet statistics of functional MRI data and the general linear model.

Müller K, Lohmann G, Zysset S, von Cramon DY.

J Magn Reson Imaging. 2003 Jan;17(1):20-30.

PMID:
12500271
14.

CCD noise removal in digital images.

Faraji H, MacLean WJ.

IEEE Trans Image Process. 2006 Sep;15(9):2676-85.

PMID:
16948312
15.

Investigation of spatial resolution, partial volume effects and smoothing in functional MRI using artificial 3D time series.

Weibull A, Gustavsson H, Mattsson S, Svensson J.

Neuroimage. 2008 Jun;41(2):346-53. doi: 10.1016/j.neuroimage.2008.02.015. Epub 2008 Mar 10.

PMID:
18400520
16.

Pre-processed image reconstruction applied to breast and brain MR imaging.

Degenhard A, Tanner C, Hayes C, Hawkes DJ, Leach MO.

Physiol Meas. 2001 Aug;22(3):589-604.

PMID:
11556677
17.

Improved watershed transform for medical image segmentation using prior information.

Grau V, Mewes AU, Alcañiz M, Kikinis R, Warfield SK.

IEEE Trans Med Imaging. 2004 Apr;23(4):447-58.

PMID:
15084070
18.

Medical image noise reduction using the Sylvester-Lyapunov equation.

Sanches JM, Nascimento JC, Marques JS.

IEEE Trans Image Process. 2008 Sep;17(9):1522-39. doi: 10.1109/TIP.2008.2001398.

PMID:
18701392
19.

Detection of brain activation signal from functional magnetic resonance imaging data.

Ruan S, Jaggi C, Constans JM, Bloyet D.

J Neuroimaging. 1996 Oct;6(4):207-12.

PMID:
8903070
20.

Wavelet-based de-noising algorithm for images acquired with parallel magnetic resonance imaging (MRI).

Delakis I, Hammad O, Kitney RI.

Phys Med Biol. 2007 Jul 7;52(13):3741-51. Epub 2007 May 25.

PMID:
17664574

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