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Items: 1 to 20 of 110

1.

Machine learning based compartment models with permeability for white matter microstructure imaging.

Nedjati-Gilani GL, Schneider T, Hall MG, Wheeler-Kingshott CA, Alexander DC.

Med Image Comput Comput Assist Interv. 2014;17(Pt 3):257-64.

PMID:
25320807
2.

Machine learning based compartment models with permeability for white matter microstructure imaging.

Nedjati-Gilani GL, Schneider T, Hall MG, Cawley N, Hill I, Ciccarelli O, Drobnjak I, Wheeler-Kingshott CAMG, Alexander DC.

Neuroimage. 2017 Apr 15;150:119-135. doi: 10.1016/j.neuroimage.2017.02.013. Epub 2017 Feb 8.

3.

Joint fractional segmentation and multi-tensor estimation in diffusion MRI.

Hao X, Fletcher PT.

Inf Process Med Imaging. 2013;23:340-51.

4.

Learning a reliable estimate of the number of fiber directions in diffusion MRI.

Schultz T.

Med Image Comput Comput Assist Interv. 2012;15(Pt 3):493-500.

PMID:
23286167
5.

A Bayesian approach for stochastic white matter tractography.

Friman O, Farnebäck G, Westin CF.

IEEE Trans Med Imaging. 2006 Aug;25(8):965-78.

PMID:
16894991
6.

MesoFT: unifying diffusion modelling and fiber tracking.

Reisert M, Kiselev VG, Dihtal B, Kellner E, Novikov DS.

Med Image Comput Comput Assist Interv. 2014;17(Pt 3):201-8.

7.

Estimating constrained multi-fiber diffusion MR volumes by orientation clustering.

Cabeen RP, Bastin ME, Laidlaw DH.

Med Image Comput Comput Assist Interv. 2013;16(Pt 1):82-9.

PMID:
24505652
8.

Local white matter geometry indices from diffusion tensor gradients.

Savadjiev P, Kindlmann G, Bouix S, Shenton ME, Westin CF.

Med Image Comput Comput Assist Interv. 2009;12(Pt 1):345-52.

9.
10.

Belief propagation based segmentation of white matter tracts in DTI.

Bazin PL, Bogovic J, Reich D, Prince JL, Pham DL.

Med Image Comput Comput Assist Interv. 2009;12(Pt 1):943-50.

11.

Model selection and estimation of multi-compartment models in diffusion MRI with a Rician noise model.

Zhu X, Gur Y, Wang W, Fletcher PT.

Inf Process Med Imaging. 2013;23:644-55.

12.

Probabilistic white matter fiber tracking using particle filtering and von Mises-Fisher sampling.

Zhang F, Hancock ER, Goodlett C, Gerig G.

Med Image Anal. 2009 Feb;13(1):5-18. doi: 10.1016/j.media.2008.05.001. Epub 2008 Jun 5.

13.

Characterization of anatomic fiber bundles for diffusion tensor image analysis.

Cárdenes R, Argibay-Quiñones D, Muñoz-Moreno E, Martin-Fernandez M.

Med Image Comput Comput Assist Interv. 2009;12(Pt 1):903-10.

PMID:
20426074
14.

Two-compartment models of the diffusion MR signal in brain white matter.

Panagiotaki E, Fonteijn H, Siow B, Hall MG, Price A, Lythgoe MF, Alexander DC.

Med Image Comput Comput Assist Interv. 2009;12(Pt 1):329-36.

PMID:
20426004
15.

Tract probability maps in stereotaxic spaces: analyses of white matter anatomy and tract-specific quantification.

Hua K, Zhang J, Wakana S, Jiang H, Li X, Reich DS, Calabresi PA, Pekar JJ, van Zijl PC, Mori S.

Neuroimage. 2008 Jan 1;39(1):336-47. Epub 2007 Aug 15.

16.

Noise correction on Rician distributed data for fibre orientation estimators.

Clarke RA, Scifo P, Rizzo G, Dell'Acqua F, Scotti G, Fazio F.

IEEE Trans Med Imaging. 2008 Sep;27(9):1242-51. doi: 10.1109/TMI.2008.920615.

PMID:
18753042
17.

Nonparametric Bayesian inference of the fiber orientation distribution from diffusion-weighted MR images.

Kaden E, Kruggel F.

Med Image Anal. 2012 May;16(4):876-88. doi: 10.1016/j.media.2012.01.004. Epub 2012 Feb 1.

PMID:
22381587
18.

Mixtures of Gaussians on tensor fields for DT-MRI segmentation.

de Luis-García R, Alberola-López C.

Med Image Comput Comput Assist Interv. 2007;10(Pt 1):319-26.

PMID:
18051074
19.

A physical model for DT-MRI based connectivity map computation.

Yörük E, Acar B, Bammer R.

Med Image Comput Comput Assist Interv. 2005;8(Pt 1):213-20.

PMID:
16685848
20.

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