Efficient Partial Volume Tissue Classification in MRI Scans-Reference-Cited by-同舟云学术

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Efficient Partial Volume Tissue Classification in MRI Scans

Published:2002 Issue: Volume: Page:698-705
ISSN:0302-9743
Container-title:Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002
language:
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Author:

Noe Aljaž,Gee James C.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-45786-0_86

Reference9 articles.

1. Julian Besag. On the Statistical Analysis of Dirty Pictures. Journal of the Royal Statistical Society, Series B, 48(3):259–302, 1986.

2. Hwan Soo Choi, David R. Haynor, and Yongmin Kim. Partial volume tissue classification of multichannel magnetic resonance images-a mixel model. IEEE Transactions on Medical Imaging, 10(3):395–407, September 1991.

3. http://www.bic.mni.mcgill.ca/brainweb/ .

4. Lect Notes Comput Sci;R.K.-S. Kwan,1996

5. David H. Laidlaw, Kurt W. Flescher, and Alan H. Barr. Partial-volume bayesian classification of material mixtures in MR volume data using voxel histograms. IEEE Transactions on Medical Imaging, 17(1):74–86, February 1998.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Non-Parametric Mixture Model Based Evolution of Level Sets and Application to Medical Images;International Journal of Computer Vision;2009-09-11

2. Improved EM-Based Tissue Segmentation and Partial Volume Effect Quantification in Multi-sequence Brain MRI;Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004;2004

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