@article{Wang2008f,
  added-at = {2008-04-22T10:36:30.000+0200},
  author = {Wang, Jun and Zhang, Wen-Jun and Liang, Jin-Rong and Xiao, Jian-Bin and Ren, Fu-Yao},
  biburl = {http://www.bibsonomy.org/bibtex/2216fb01025d7545359f2d1dc3f47dc4f/smicha},
  day = 01,
  description = {Physica A},
  interhash = {0bc4c2d525286e0717c52af33de92f0a},
  intrahash = {216fb01025d7545359f2d1dc3f47dc4f},
  journal = {Physica A: Statistical Mechanics and its Applications},
  keywords = {Anomalous diffusion},
  month = Feb,
  number = 4,
  pages = {764--772},
  title = {Fractional nonlinear diffusion equation and first passage time},
  url = {http://www.sciencedirect.com/science/article/B6TVG-4PWF0M2-8/1/c0f168a52e4f5f9e6fc14b6076f82d9e},
  volume = 387,
  year = 2008
}

@article{EytanAdar.Volume47,
  abstract = {Weblogs link together in a complex structure through which new ideas and discourse can flow. Such a structure is ideal for the study of the propagation of information. In this paper we describe general categories of information epidemics and create a tool to infer and visualize the paths specific infections take through the network. This inference is based in part on a novel utilization of data describing historical, repeating patterns of infection. We conclude with a description of a new ranking algorithm, iRank, for blogs. In contrast to traditional ranking strategies, iRank acts on the implicit link structure to find those blogs that initiate these epidemics.

Workshop on the Weblogging Ecosystem, 13th International World Wide Web Conference, May 18th, 2004. Pre--print available as PDF (465Kb)},
  added-at = {2008-01-21T10:54:26.000+0100},
  author = {Adar, Li Zhang Lada A. Adamic Rajan M. Lukose Eytan},
  biburl = {http://www.bibsonomy.org/bibtex/273bf52a1a0c8d6a4e1d49dffdb38558f/tschert},
  interhash = {7810edb84d77f9b516fd6e54c21073bd},
  intrahash = {73bf52a1a0c8d6a4e1d49dffdb38558f},
  journal = {Communications of the ACM : CACMa publ. of the Association for Computing Machinery},
  keywords = {blogosphere diffusion},
  number = 12,
  pages = {35--39},
  title = {Implicit Structure and the Dynamics of Blogspace},
  url = {\url{http://www.hpl.hp.com/research/idl/papers/blogs/index.html}},
  urldate = {10.05.2007},
  year = {Volume 47}
}

@article{YChen2004,
  added-at = {2007-01-10T11:43:56.000+0100},
  address = {Los Alamitos, CA, USA},
  author = {Chen, Y. and Guo, W. and Zeng, Q. and Yan, X. and Huang, F. and Zhang, H. and He, G. and Vemuri, B.C. and Liu, Y.},
  biburl = {http://www.bibsonomy.org/bibtex/2a471c4c04fbe3f566d03d3365f6abbac/bmeyer},
  description = {Diffusion Tensor Imaging (DTI)},
  doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2004.97},
  interhash = {1300db590a9a6b42efb2d602aab1434f},
  intrahash = {a471c4c04fbe3f566d03d3365f6abbac},
  issn = {1063-6919},
  journal = {Conference on Computer Vision and Pattern Recognition - CVPR'04},
  keywords = {Diffusion, Tensor DTI Imaging, Diffusion},
  pages = {588-593},
  publisher = {IEEE Computer Society},
  title = {Estimation, Smoothing, and Characterization of Apparent Diffusion
	Coefficient Profiles from High Angular Resolution DWI},
  volume = 01,
  year = 2004
}

@inproceedings{DaSilva2002,
  added-at = {2007-01-10T11:43:56.000+0100},
  added-by = {Daniel Acevedo},
  author = {DaSilva, Marco and Zhang, Song and Demiralp, Cagatay and Laidlaw, David H.},
  biburl = {http://www.bibsonomy.org/bibtex/206dcfe54b76bef971e3e8a366cbae443/bmeyer},
  booktitle = {Proceedings ISMRM Workshop in Diffusion MRI: Biophysical Issues},
  date-added = {Fri October 29 22:32:10 2004},
  description = {Diffusion Tensor Imaging (DTI)},
  interhash = {f8323dcfb10146c3ed15d062cc3bf84a},
  intrahash = {06dcfe54b76bef971e3e8a366cbae443},
  keywords = {Diffusion, Tensor DTI Imaging, Diffusion},
  month = {March},
  pages = {237--238},
  pdf = {http://www.cs.brown.edu/research/vis/docs/pdf/DaSilva-2002-VDD.pdf},
  project = {brain and crystals},
  theme = {medicine and vr and tech},
  title = {Visualizing the Differences between Diffusion Tensor Volume Images},
  year = 2002
}

@article{Kang2005,
  abstract = {A novel approach to noninvasively tracing brain white matter fiber
	tracts is presented using diffusion tensor magnetic resonance imaging
	(DT-MRI). This technique is based on successive anisotropic diffusion
	simulations over the human brain, which are utilized to construct
	three dimensional diffusion fronts. The fiber pathways are determined
	by evaluating the distance and orientation from the fronts to their
	corresponding diffusion seeds. Synthetic and real DT-MRI data are
	employed to demonstrate the tracking scheme. It is shown that the
	synthetic tracts are accurately replicated, and several major white
	matter fiber pathways can be reproduced noninvasively, with the
	tract branching being allowed. Since simulating the diffusion process,
	which is truly a physical phenomenon reflecting the underlying architecture
	of cerebral tissues, makes full use of the diffusion tensor data,
	including both the magnitude and orientation information, the proposed
	approach is expected to enhance robustness and reliability in white
	matter fiber reconstruction.},
  added-at = {2007-01-10T11:43:56.000+0100},
  author = {Kang, Ning and Zhang, Jun and Carlson, E.S. and Gembris, D.},
  biburl = {http://www.bibsonomy.org/bibtex/22beebbbd9e2c17cee8dcde9d57d9a624/bmeyer},
  description = {Diffusion Tensor Imaging (DTI)},
  doi = {10.1109/TMI.2005.852049},
  interhash = {1a271357c0bada1209f1628f04d20dda},
  intrahash = {2beebbbd9e2c17cee8dcde9d57d9a624},
  journal = {Medical Imaging, IEEE Transactions on},
  keywords = {Diffusion, Tensor DTI Imaging, Diffusion},
  month = {Sept.},
  number = 9,
  owner = {bzfbmeye},
  pages = {1127--1137},
  timestamp = {2006.06.06},
  title = {White matter fiber tractography via anisotropic diffusion simulation
	in the human brain},
  volume = 24,
  year = 2005
}

@inproceedings{Laidlaw2004b,
  added-at = {2007-01-10T11:43:56.000+0100},
  added-by = {Daniel Acevedo},
  author = {Laidlaw, David H. and Zhang, Song and Bastin, Mark and Correia, S. and Salloway, Steven and Malloy, Paul},
  biburl = {http://www.bibsonomy.org/bibtex/20f8aa136db735bda889476ee187d78e4/bmeyer},
  booktitle = {Proceedings of the Scientific Meeting and Exhibition of the International
	Society for Magnetic Resonance in Medicine},
  date-added = {Tue November 30 13:43:50 2004},
  description = {Diffusion Tensor Imaging (DTI)},
  interhash = {3fe7bf6667faf2f69481a9d94749eb2e},
  intrahash = {0f8aa136db735bda889476ee187d78e4},
  keywords = {Diffusion, Tensor DTI Imaging, Diffusion},
  pdf = {http://www.cs.brown.edu/research/vis/docs/pdf/Laidlaw-2004-RIS.pdf},
  project = {brain},
  theme = {medicine and tech},
  title = {Ramifications of Isotropic Sampling and Acquisition Orientation on
	{DTI} Analyses},
  year = 2004
}

@article{Sun2006,
  added-at = {2007-01-10T11:43:56.000+0100},
  address = {Los Alamitos, CA, USA},
  author = {Sun, Hui and Yushkevich, Paul A. and Zhang, Hui and Gee, James C. and Simon, Tony J.},
  biburl = {http://www.bibsonomy.org/bibtex/23dae75e8684563855c2b4f26b40dd1c5/bmeyer},
  description = {Diffusion Tensor Imaging (DTI)},
  doi = {http://doi.ieeecomputersociety.org/10.1109/CVPRW.2006.68},
  interhash = {4440f293872aa87ccc48db7e313c462c},
  intrahash = {3dae75e8684563855c2b4f26b40dd1c5},
  isbn = {0-7695-2646-2},
  journal = {cvprw},
  keywords = {Diffusion, Tensor DTI Imaging, Diffusion},
  pages = 87,
  publisher = {IEEE Computer Society},
  title = {Efficient Generation of Shape-Based Reference Frames for the Corpus
	Callosum for DTI-based Connectivity Analysis},
  volume = 0,
  year = 2006
}

@incollection{Vilanova2005,
  abstract = {Water dffusion is anisotropic in organized tissues such as white matter
	and muscle. Diffusion tensor imaging (DTI), a non-invasive MR technique,
	measures water self-diffusion rates and thus gives an indication
	of the underlying microstructure of tissue. The diffusion rate is
	often expressed by a second-order tensor. Visualizing DTI in an
	insightful way is challenging because of the high dimensionality
	of the diffusion tensor and the complex spatial relationships in
	a diffusion tensor field. This chapter surveys the different visualization
	techniques that have been developed for DTI and compares their main
	characteristics and drawbacks. We also discuss some of the many
	biomedical applications in which DTI helps extend our understanding
	or improve clinical procedures. We conclude with an overview of
	open problems and research directions.},
  added-at = {2007-01-10T11:43:56.000+0100},
  added-by = {Daniel Acevedo},
  author = {Vilanova, A. and Zhang, Song and Kindlmann, G. and Laidlaw, David H.},
  biburl = {http://www.bibsonomy.org/bibtex/2c5e725eaa1465b7fb397f8473b45e4fd/bmeyer},
  booktitle = {Visualization and Image Processing of Tensor Fields},
  date-added = {Sat October 15 20:02:01 2005},
  description = {Diffusion Tensor Imaging (DTI)},
  interhash = {51ed723d45f8780b12bddd2812566b44},
  intrahash = {c5e725eaa1465b7fb397f8473b45e4fd},
  keywords = {Diffusion, Tensor DTI Imaging, Diffusion},
  note = {In Press},
  pages = {121--153},
  pdf = {http://www.cs.brown.edu/research/vis/docs/pdf/Vilanova-2005-IVD.pdf},
  project = {brain},
  publisher = {Springer-Verlag},
  theme = {medicine},
  title = {An Introduction to Visualization of Diffusion Tensor Imaging and
	its Applications},
  year = 2005
}

@article{HuiZhang2004,
  added-at = {2007-01-10T11:43:56.000+0100},
  address = {Los Alamitos, CA, USA},
  author = {Zhang, Hui and Yushkevich, Paul A. and Gee, James C.},
  biburl = {http://www.bibsonomy.org/bibtex/2493fd17f84d22cddc80a1bc39c0ed8d5/bmeyer},
  description = {Diffusion Tensor Imaging (DTI)},
  doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2004.208},
  interhash = {23e62dcdbb1cfcf4c0e519dd74e695bb},
  intrahash = {493fd17f84d22cddc80a1bc39c0ed8d5},
  issn = {1063-6919},
  journal = {Conference on Computer Vision and Pattern Recognition - CVPR'04},
  keywords = {Diffusion, Tensor DTI Imaging, Diffusion},
  pages = {842-847},
  publisher = {IEEE Computer Society},
  title = {Registration of Diffusion Tensor Images},
  volume = 01,
  year = 2004
}

@article{Zhang2004b,
  added-at = {2007-01-10T11:43:56.000+0100},
  added-by = {Daniel Acevedo},
  author = {Zhang, Song and Bastin, Mark and Laidlaw, David H. and Sinha, Saurabh and Armitage, Paul A. and Deisboeck, Thomas S.},
  biburl = {http://www.bibsonomy.org/bibtex/2b47a55176552ed4eef3340bb20f32960/bmeyer},
  date-added = {Sun October 9 14:52:14 2005},
  description = {Diffusion Tensor Imaging (DTI)},
  interhash = {c806dbcd69e8701ecbc69137c3c1504f},
  intrahash = {b47a55176552ed4eef3340bb20f32960},
  journal = {Magnetic Resonance in Medicine},
  keywords = {Diffusion, Tensor DTI Imaging, Diffusion},
  number = 1,
  pages = {140--147},
  pdf = {http://www.cs.brown.edu/research/vis/docs/pdf/Zhang-2004-VAW.pdf},
  project = {brain},
  theme = {medicine and vr and tech},
  title = {Visualization and Analysis of White Matter Structural Asymmetry in
	Diffusion Tensor {MR} Imaging Data},
  volume = 51,
  year = 2004
}

@inproceedings{Zhang2000a,
  added-at = {2007-01-10T11:43:56.000+0100},
  added-by = {Daniel Acevedo},
  author = {Zhang, Song and Curry, Charles T. and Morris, Daniel S. and Laidlaw, David H.},
  biburl = {http://www.bibsonomy.org/bibtex/2c43098ad6ec9b136ada1652e25372bb2/bmeyer},
  booktitle = {Visualization '00 Work in Progress},
  date-added = {Tue October 4 1:18:05 2005},
  description = {Diffusion Tensor Imaging (DTI)},
  interhash = {68e518b96aa5f76496ec497ea0512811},
  intrahash = {c43098ad6ec9b136ada1652e25372bb2},
  keywords = {Diffusion, Tensor Streamtube, Streamsurface DTI, Imaging, Diffusion},
  month = {October},
  pdf = {http://www.cs.brown.edu/research/vis/docs/pdf/Zhang-2000-SSV.pdf},
  project = {brain},
  theme = {medicine and vr and tech},
  title = {Streamtubes and Streamsurfaces for Visualizing Diffusion Tensor {MRI}
	Volume Images},
  year = 2000
}

@misc{Zhang2000b,
  added-at = {2007-01-10T11:43:56.000+0100},
  added-by = {Daniel Acevedo},
  author = {Zhang, Song and Curry, Charles T. and Morris, Daniel S. and Laidlaw, David H.},
  biburl = {http://www.bibsonomy.org/bibtex/2ce943fad42cb6e50f47cb6626bad409a/bmeyer},
  date-added = {Sun October 9 15:30:58 2005},
  description = {Diffusion Tensor Imaging (DTI)},
  howpublished = {Poster at Human Brain Project Annual Meeting, NIH, Bethesda, MD},
  interhash = {2b26ab2937dec5e77236f899c44d99f9},
  intrahash = {ce943fad42cb6e50f47cb6626bad409a},
  keywords = {Diffusion, Tensor DTI Imaging, Diffusion},
  month = May,
  pdf = {http://www.cs.brown.edu/research/vis/docs/pdf/Zhang-2000-VDT.pdf},
  project = {brain},
  theme = {medicine and vr and tech},
  title = {Visualizing Diffusion Tensor {MR} Images Using Streamtubes and Streamsurfaces},
  year = 2000
}

@incollection{Zhang2004a,
  added-at = {2007-01-10T11:43:56.000+0100},
  added-by = {Daniel Acevedo},
  author = {Zhang, Song and Kindlmann, Gordon and Laidlaw, David H.},
  biburl = {http://www.bibsonomy.org/bibtex/20c4f7db7dfeb341f62bdf18fddbafa3c/bmeyer},
  booktitle = {Visualization Handbook},
  date-added = {Sat October 15 23:00:45 2005},
  description = {Diffusion Tensor Imaging (DTI)},
  interhash = {530aa50d6bc2d496b505618c12b43ca2},
  intrahash = {0c4f7db7dfeb341f62bdf18fddbafa3c},
  keywords = {Diffusion, Tensor DTI Imaging, Diffusion},
  month = {June},
  project = {brain and crystals and volume},
  publisher = {Academic Press},
  theme = {medicine},
  title = {Diffusion Tensor {MRI} Visualization},
  url = {http://www.cs.brown.edu/research/vis/docs/pdf/Zhang-2004-DTM.pdf},
  year = 2004
}

@inproceedings{Zhang2004c,
  added-at = {2007-01-10T11:43:56.000+0100},
  address = {Washington, DC, USA},
  author = {Zhang, Song and Laidlaw, David and Simon, Jack and Brown, Mark and Miller, David},
  biburl = {http://www.bibsonomy.org/bibtex/2120afe58854222bdeb39fbbf6876388f/bmeyer},
  booktitle = {VIS '04: Proceedings of the conference on Visualization '04},
  description = {Diffusion Tensor Imaging (DTI)},
  doi = {http://dx.doi.org/10.1109/VIS.2004.116},
  interhash = {f09aaaf3d3b5e80b08a337f074bd8e80},
  intrahash = {120afe58854222bdeb39fbbf6876388f},
  isbn = {0-7803-8788-0},
  keywords = {Diffusion, Tensor DTI Imaging, Diffusion},
  pages = {598.29},
  publisher = {IEEE Computer Society},
  title = {Visualization of the Interaction of Multiple Sclerosis Lesions with
	Adjacent White Matter Fibers Using Streamtubes and Streamsurfaces},
  year = 2004
}

@inproceedings{Zhang2002,
  added-at = {2007-01-10T11:43:56.000+0100},
  added-by = {Daniel Acevedo},
  author = {Zhang, Song and Laidlaw, David H. and Bastin, Mark and Sinha, Saurabh and Deisboeck, Thomas S.},
  biburl = {http://www.bibsonomy.org/bibtex/2fb009bcd2bc2928aae16de2fa7da8398/bmeyer},
  booktitle = {IEEE Visualization Poster Compendium},
  date-added = {Thu December 9 15:36:08 2004},
  description = {Diffusion Tensor Imaging (DTI)},
  interhash = {82cb4fedd55c453da7d9fcd368e92ee7},
  intrahash = {fb009bcd2bc2928aae16de2fa7da8398},
  keywords = {Diffusion, Tensor DTI Imaging, Diffusion},
  month = {October},
  pdf = {http://www.cs.brown.edu/research/vis/docs/pdf/Zhang-2002-AOD.pdf},
  project = {brain},
  theme = {medicine and vr and tech},
  title = {Application of {DTI} Visualization and Analysis on a Data Set from
	a Brain Tumor Patient},
  year = 2002
}