|
Research
|
Efficient computations of statistics on Riemannian manifolds
|
R. Chakraborty, S. Hauberg, B. C. Vemuri
Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
M. Banerjee, B. Jian, B. C. Vemuri
Robust Fréchet Mean and PGA on Riemannian Manifolds with Applications to Neuroimaging
In Information Processing in Medical Imaging (IPMI), 2017.
R. Chakraborty, D. Seo, B. C. Vemuri
An efficient Exact-PGA algorithm for constant curvature manifolds
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pages 3976-3984.
G. Cheng, J. Ho, H. Salehian, B. C. Vemuri
Recursive Computation of the Fréchet Mean on Non-positively Curved Riemannian Manifolds with Applications
In Riemannian Computing in Computer Vision (RCCV), 2016, pages 21-43.
R. Chakraborty, B. C. Vemuri
Recursive Fréchet mean computation on the Grassmannian and its applications to computer vision
In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2015, pages 4229-4237.
H. Salehian, R. Chakraborty, E. Ofori, D. Vaillancourt, B. C. Vemuri
An efficient recursive estimator of the Fréchet mean on a hypersphere with applications to medical image analysis
In Mathematical Foundations of Computational Anatomy (MFCA), 2015.
H. Salehian, D. Vaillancourt, B. C. Vemuri
iPGA: incremental principal geodesic analysis with applications to movement disorder classification
In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2014.
H. Salehian, G. Cheng, B. C. Vemuri, J. Ho
Recursive estimation of the stein center of SPD matrices and its applications
In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2013, pages 1793-1800.
J. Ho, G. Cheng, H. Salehian, B. C. Vemuri
Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers
In Artificial Intelligence and Statistics Conference (AISTATS), 2013, pages 325-332.
G. Cheng, H. Salehian, B. C. Vemuri
Efficient recursive algorithms for computing the mean diffusion tensor and applications to DTI segmentation
In European Conference on Computer Vision (ECCV), 2012, pages 390-401.
|
|
Nonlinear Regression on Riemannian manifolds
|
M. Banerjee, R. Chakraborty, E. Ofori, M. Okun, D. Vaillancourt, B. C. Vemuri
A Nonlinear Regression Technique for Manifold Valued Data with Applications to Medical Image Analysis
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pages 4424-4432.
M. Banerjee, R. Chakraborty, E. Ofori, M. Okun, D. Vaillancourt, B. C. Vemuri
Nonlinear regression on riemannian manifolds and its applications to neuro-image analysis
In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2015, pages 719-727.
|
|
Diffusion Weighted MR Image Analysis
|
A. Barmpoutis, M. S. Hwang, D. Howland, J. R. Forder and B. C. Vemuri
Regularized Positive-Definite Fourth-Order Tensor Field Estimation from DW-MRI
In NeuroImage, March 2009, Vol. 45, No. 1 sup.1, pages 153-162.
Jian, B., Vemuri, B.C., Ozarslan, E., Carney, P.R., Mareci and T.H.
A novel tensor distribution model for the diffusion-weighted MR signal.
In Neuroimage, 2007.
|
Fiber Reconstruction
|
A. Barmpoutis, B. Jian, and B. C. Vemuri, Adaptive kernels for multi-fiber reconstruction. In In LNCS (Springer) Proceedings of IPMI09: Information Processing in Medical Imaging, 2009.
Ritwik Kumar, Baba C. Vemuri, Fei Wang, Tanveer Syeda-Mahmood, Paul R. Carney and Thomas H. Mareci, Multi-fiber Reconstruction from DW-MRI data using a Continuous Mixture of Hyperspherical von Mises-Fisher Distributions. In Information Processing in Medical Imaging (IPMI), 2009.
A. Barmpoutis, B. C. Vemuri, D. Howland and J. R. Forder, Extracting Tractosemas from a displacement probability field for
tractography in DW-MRI. In In LNCS 5241, (Springer) Proceedings of MICCAI08: Int. Conf. on
Medical Image Computing and Computer Assisted Intervention, 2008, pages 9-16.
A. Barmpoutis, B. C. Vemuri and J. R. Forder
Fast displacement probability profile approximation from HARDI using 4th-order tensors.
In Proceedings of ISBI08: IEEE International Symposium on Biomedical Imaging, 2008, pages 911-914.
Jian, B., Vemuri and B.C. ,
Multi-fiber reconstruction from diffusion MRI using mixture of Wisharts and sparse deconvolution.
In Inf Process Med Imaging, 2007, Vol. 20.
|
|
Density Estimation
|
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.
Ajit Rajwade, Arunava Banerjee and Anand Rangarajan ,
New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration
In CVPR (2), 2006, pages 1769-1776.
Adrian M. Peter and Anand Rangarajan,
Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching. In IEEE Transactions on Image Processing, 2008, Vol. 17, No. 4, pages 458-468.
|
|
Information Geometry and Machine Learning
|
Santhosh Kodipaka, Arunava Banerjee and Baba C. Vemuri,
Large margin pursuit for a Conic Section classifier.
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
A. Banerjee, S. Kodipaka, B. C. Vemuri,
A Conic Section Classifier and its Application to Image Datasets,
In CVPR (1) 2006: 103-108
Adrian M. Peter, Anand Rangarajan and Jeffrey Ho,
Shape L'Ane rouge: Sliding wavelets for indexing and retrieval
In CVPR, 2008.
Adrian Peter and Anand Rangarajan
A New Closed-Form Information Metric for Shape Analysis
In MICCAI (1), 2006, pages 249-256.
|
|
Face Recognition
|
Ritwik Kumar, Arunava Banerjee and Baba C. Vemuri
Volterrafaces: Discriminant Analysis using Volterra Kernels
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
A. Barmpoutis, R. Kumar, B.C. Vemuri and A. Banerjee
Beyond the Lambertian assumption: A generative model for Apparent BRDF fields of faces using anti-symmetric tensor splines.
In Proc. IEEE Conference on Computer Vision and Pattern Recognition CVPR 2008, 2008, pages 1-6.
|
|
Hippocampal Shape Analysis and Epilepsy Diagnosis
|
Lord, N.A., Ho, J., Vemuri, B.C., Eisenschenk and S.Simultaneous registration and parcellation of bilateral hippocampal surface pairs for local asymmetry quantification.In IEEE Trans Med Imaging, 2007, Vol. 26, No. 4, pages 471-8.
Nicholas A. Lord, Jeffrey Ho, Baba C. Vemuri and Stephan J. Eisenschenk
A Geometric Variational Framework for Simultaneous Registration
and Parcellation of Homologous Surfaces. In SSVM, 2007, pages 789-800.
Nicholas A. Lord, Jeffrey Ho and Baba C. Vemuri
USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images.
In IEEE 11th International Conference on Computer Vision (ICCV)., October 2007.
S. Kodipaka, B. C. Vemuri, A. Rangarajan, C. M. Leonard, I. Schmallfuss and S. Eisenschenk. Kernel Fisher discriminant for shape-based classification in epilepsy In Medical Image Analysis, 2007, Vol. 11, No. 2, pages 79-90.
|
Image Segmentation and Registration
|
Subakan, O.N., Vemuri and B.C.
Image segmentation via convolution of a level-set function with a Rigaut Kernel
In Computer Vision and Pattern Recognition, 2008.
Subakan, O., Bing Jian, Vemuri, B.C., Vallejos and C.E.
Feature Preserving Image Smoothing Using a Continuous Mixture of Tensors
In IEEE 11th International Conference onComputer Vision (ICCV)., October 2007, pages 1-6.
Yu-Tseh Chi, S. M. Nejhum Shahed, Jeffrey Ho and Ming-Hsuan Yang
Higher Dimensional Affine Registration and Vision Applications
In ECCV (4), 2008, pages 256-269.
Fei Wang, Baba C. Vemuri, Anand Rangarajan, Ilona M. Schmalfuss and Stephan J. Eisenschenk
Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction
In ECCV (3), 2006, pages 551-563.
#
Tim McGraw, Baba C. Vemuri, Robert Yezierski and Thomas Mareci
Segmentation of High Angular Resolution Diffusion MRI Modeled as a Field of von Mises-Fisher Mixtures
In ECCV (3), 2006, pages 463-475.
Wang, F., Vemuri, B.C., Eisenschenk and S.J.
Joint registration and segmentation of neuroanatomic structures from brain MRI.
In Acad Radiol, 2006, Vol. 13, No. 9, pages 1104-11.
| | | | | | | | | | |
|