Software and Demos


 
  
   IUKF Intrinsic Unscented Kalman Filter (IUKF) Tractography from HARDI
   CDFHC Nonrigid Groupwise Point Set Registration Using CDFHC
   GMMReg Nonrigid Point Set Registration Using Mixture of Gaussians
   diffusion-mri Code for Modeling and Reconstruction of Diffusion MR Images
   iso-match Probability Density Estimation Using Isocontours and Isosurfaces
   CSC Conic Section Classifier - 2D demo of discriminant boundaries
   DT4Estimator Estimation of Positive-Definite Fourth-Order Diffusion Tensors
   Demo Matrix Valued Image Processing
   Demo Neural Fiber Tracking
   Demo Facial Image Relighting and Recognition
   Demo Symmetric Positive 4th-order Diffusion Tensor Estimator
   Demo Synthetic DW-MRI signal generator
  



IUKF
  
Title Intrinsic Unscented Kalman Filter (IUKF) Tractography from HARDI
Website http://www.cise.ufl.edu/~salehian/Softwares.html
Download [Matlab]
Reference Guang Cheng, Hesamoddin Salehian, Baba C. Vemuri, Min-Sig Hwang, Dena Howland, John Forder, “A Novel Intrinsic Unscented Kalman Filter for Tractography from HARDI”, International Symposium on Biomedical Imaging (ISBI), 2012. [pdf]
CDFHC
  
Title Nonrigid Groupwise Point Set Registration Using Mixture of Gaussians
Website http://www.cise.ufl.edu/~tichen
Download [Matlab]
Reference Ting Chen, Baba C. Vemuri, Anand Rangarajan and Stephan J. Eisenschenk, Group-wise Point-set registration using a novel CDF-based Havrda-Charvat Divergence. In IJCV : International Journal of Computer Vision, Volume 86, Number 1, Page 111-124, January, 2010.
GMMReg
  
Title Nonrigid Point Set Registration Using Mixture of Gaussians
Website http://code.google.com/p/gmmreg/
Download [SVN]
Reference Bing Jian and Baba C. Vemuri, A Robust Algorithm for Point Set Registration Using Mixture of Gaussians. In ICCV, 2005, pages 1246-1251. [DOI]
  
diffusion-mri
  
Title Modeling and Reconstruction of Multi-fiber Population from DWMRI
Website http://code.google.com/p/diffusion-mri/
Download [svn]
References Bing Jian and Baba C. Vemuri. A Unified Computational Framework for Deconvolution to Reconstruct Multiple Fibers From Diffusion Weighted MRI. IEEE Trans. Med. Imaging, 26(11):1464-1471, 2007.
Bing Jian, Baba C. Vemuri, Evren Öarslan, Paul R. Carney, and Thomas H. Mareci. A novel tensor distribution model for the diffusion weighted MR signal. NeuroImage, 37(1):164-176, 2007.
  
Iso-match
  
Title Probability Density Estimation Using Isocontours and Isosurfaces
Website http://www.cise.ufl.edu/~anand/isomatch.html
Download [tar.gz]
Reference Rajwade, A., Banerjee, A., Rangarajan and A., Probability Density Estimation Using Isocontours and Isosurfaces: Applications to Information-Theoretic Image Registration, In Pattern Analysis and Machine Intelligence, IEEE Transactions on, March 2009, Vol. 31, No. 3, pages 475-491.
  
CSC
  
Title Conic Section Classifier - 2D demo of discriminant boundaries
Website http://www.cise.ufl.edu/~snsk/code/csc.php
Download [zip]
Reference A. Banerjee, S. Kodipaka, B. C. Vemuri, A Conic Section Classifier and its Application to Image Datasets, In CVPR (1) 2006: 103-108
  
4th-order Diffusion Tensor Estimator
  
Title Estimation of Positive-Definite Fourth-Order Diffusion Tensors
Website http://www.cise.ufl.edu/~abarmpou/lab/DT4Estimator.php
Download [zip]
Reference A. Barmpoutis, M. S. Hwang, D. Howland, J. R. Forder and B. C. VemuriRegularized Positive-Definite Fourth-Order Tensor Field Estimation from DW-MRI,NeuroImage v. 45(1 sup. 1) 2009: 153-162
  


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