[2024]
	G. Cortes, Y. Yu, R. Chen, M. Armstrong, D. Vaillancourt and B. C. Vemuri, "Higher Order Gauge Equivariant Convolutions For Neurodegenerative Disorder Classification", International Symposium on Biomedical Imaging (ISBI) , 2024, pp.. [PDF]
[2023]
	Jose J. Bouza and Chun-Hao Yang and Baba C. Vemuri, "Geometric Deep Learning for Unsupervised Registration of Diffusion Magnetic Resonance Images", International Conference on Information Processing in Medical Imaging , 2023, pp.563-575. [PDF] Xiran Fan, Chun-Hao Yang and Baba C. Vemuri, "Horocycle Decision Boundaries for Large Margin Classification in Hyperbolic Space", Neural Information Processing Systems (NeurIPS) , 2023, pp.. [PDF]
[2022]
	Chun-Hao Yang and Baba C. Vemuri, "Nested Grassmannians for Dimensionality Reduction with Applications", Machine Learning for Biomedical Imaging vol. 1 , 2022, pp.1-10. [PDF] Xiran Fan, Chun-Hao Yang and Baba C. Vemuri, "Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2022, pp.. [PDF] Chun-Hao Yang, Hani Doss, Baba C. Vemuri, "An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices", Journal of the American Statistical Association , 2022, pp.. [PDF]
[2021]
	Chun-Hao Yang and Baba C Vemuri, "Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis", International Conference on Information Processing in Medical Imaging (IPMI) , 2021, pp.. [PDF] Jose Bouza, Chun-Hao Yang, David Vaillancourt, Baba C Vemuri, "A Higher Order Manifold-valued Convolutional Neural Network with Applications in Diffusion MRI Processing", International Conference on Information Processing in Medical Imaging (IPMI) , 2021, pp.. [PDF]
[2020]
	Rudrasis Chakraborty, Liu Yang, Søren Hauberg and Baba C. Vemuri , "Intrinsic Grassmann Averages for Online Linear, Robust and Nonlinear Subspace Learningn", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2020, pp.. [PDF] Rudrasis Chakraborty, Jose Bouza, Jonathan Manton, Baba C Vemuri, "ManifoldNet: A Deep Neural Network for Manifold-valued Data with Applications", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2020, pp.. [PDF] Monami Banerjee, Rudrasis Chakraborty, Jose Bouza and Baba C Vemuri , "VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) , 2020, pp.. [PDF]
[2019]
	Jiaqi Sun, Alireza Entezari and Baba C. Vemuri, "Exploiting structural redundancy in q-space for improved EAP reconstruction from highly undersampled (k, q)-space in DMRI", Medical Image Analysis vol. 54, 2019, pp.122-137. [PDF] Rudrasis Chakraborty, Jose Bouza, Jonathan Manton and Baba C. Vemuri, "A deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging", International Conf. on Info. Processing in Medical Imaging (IPMI) , 2019, pp.. [PDF] Chun-Hao Yang and Baba C. Vemuri, "Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices with Applications to Neuroimaging", International Conf. on Info. Processing in Medical Imaging (IPMI)tional , 2019, pp.. [PDF] Monami Banerjee, Rudrasis Chakraborty, Derek Archer, David Vaillancourt, Baba C Vemuri, "DMR-CNN: A CNN Tailored For DMR Scans With Applications To PD Classification", IEEE International Symposium on Biomedical Imaging , 2019, pp.388-391. [PDF] Baba C Vemuri, Jiaqi Sun, Monami Banerjee, Zhixin Pan, Sara M Turner, David D Fuller, John Forder, Alireza Entezari, "A Geometric Framework for Ensemble Average Propagator Reconstruction from Diffusion MRI", Medical Image Analysis vol. 57, 2019, pp.89-105. [PDF]
[2018]
	Rudrasis Chakraborty and Baba C. Vemuri, "Statistics on the Compact Stiefel Manifold: Theory and Applications ", Annals of Statistics , 2018, pp.(accepted). [PDF] Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek Archer, David Vaillancourt, Vikas Singh, Baba C. Vemuri, "A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices", 32nd International Conference on Neural Information Processing Systems (NeurIPS, formerly NIPS) , 2018, pp.. [PDF]
[2017]
	Rudrasis Chakraborty, Soren Hauberg and Baba C. Vemuri, "Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning ", IEEE Conference on Computer Vision and pattern Recognition (CVPR) , 2017, pp.. [PDF] Hyunwoo J. Kim, Nagesh Adluru, Heemanshu Suri, Baba C. Vemuri, Sterling C. Johnson, Vikas Singh, "Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2017, pp.. [PDF] Salem Said, Hatem Hajri, Lionel Bombrun, Baba C. Vemuri, "Gaussian distributions on Riemannian symmetric spaces: statistical learning with structured covariance matrices", IEEE Transactions on Information Theory , 2017, pp.. [PDF] Monami Banerjee, Bing Jian and Baba C. Vemuri, "Robust Fréchet Mean and PGA on Riemannian Manifolds with Applications to Neuroimaging", International Conference on Information Processing in Medical Imaging (IPMI) , 2017, pp.. [PDF] Rudrasis Chakraborty, Vikas Singh, Nagesh Adluru and Baba C. Vemuri , "A Geometric Framework for Statistical Analysis of Trajectories With Distinct Temporal Spans", IEEE International Conference on Computer Vision (ICCV) , 2017, pp.. [PDF] Monami Banerjee, Rudrasis Chakraborty, Baba C. Vemuri, "Sparse Exact PGA on Riemannian Manifolds", IEEE International Conference on Computer Vision (ICCV) , 2017, pp.. [PDF]
[2016]
	Rudrasis Chakraborty, Dohyung Seo and Baba C Vemuri, "An efficient Exact-PGA algorithm for constant curvature manifolds", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2016, pp.. [PDF] Monami Banerjee, Rudrasis Chakraborty, Edward Ofori, Michael S. Okun, David E. Viallancourt, Baba C. Vemuri, "A Nonlinear Regression Technique for Manifold Valued Data With Applications to Medical Image Analysis", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2016, pp.. [PDF] Dohyung Seo, Jeffrey Ho, Baba C. Vemuri, "Covariant Image Representation with Applications to Classification Problems in Medical Imaging", International Journal of Computer Vision vol. 116(2), 2016, pp.190-209. [PDF] Yan Deng, Anand Rangarajan, Baba C. Vemuri, "Supervised learning for brain MR segmentation via fusion of partially labeled multiple atlases", IEEE International Symposium on Biomedical Imaging (ISBI) , 2016, pp.633-637. [PDF] Guang Cheng, Jeffrey Ho, Hesamoddin Salehian, Baba C. Vemuri, "Recursive Computation of the Fr´echet Mean on Non-Positively Curved Riemannian Manifolds with Applications", Riemannian Computing in Computer Vision; Editors: Turaga Pavan and Srivastava Anuj , 2016, pp.21-43. [PDF]
[2015]
	G. Cheng, H. Salehian, J. Forder, B. C. Vemuri, "Tractography from HARDI using an intrinsic Unscented Kalman Filter", IEEE Transactions on Medical Imaging vol. 34(1), 2015, pp.298-305. [PDF] Jiaqi Sun, Elham Sakhaee, Alireza Entezari, Baba C. Vemuri, "Leveraging EAP-Sparsity for Compressed Sensing of MS-HARDI in (k, q)-Space", International Conference on Information Processing in Medical Imaging (IPMI) , 2015, pp.375-386. [PDF] hyunwoo J. Kim, Jia Xu, Baba C. Vemuri, Vikas Singh, "Manifold-valued Dirichlet Processes", International Conference on Machine Learning (ICML) , 2015, pp.1199-1208. [PDF] Monami Banerjee, Rudrasis Chakraborty, Edward Ofori, David E. Vaillancourt, Baba C. Vemuri, "Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis", Intl. Conf. on Medical Image Computing and Computer Aided Intervention vol. 1, 2015, pp.719-727. [PDF] Rudrasis Chakraborty and Baba C. Vemuri, "Recursive Fréchet Mean Computation on the Grassmannian and its Applications to Computer Vision", International Conference on Computer Vision (ICCV) , 2015, pp.4229-4237. [PDF] Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee, Baba C. Vemuri, Vikas Singh, "Interpolation on the Manifold of K Component GMMs", International Conference on Computer Vision (ICCV) , 2015, pp.2884-2892. [PDF]
[2014]
	Yuanxiang Wang, Hesamoddin Salehian, Guang Cheng, Baba C. Vemuri, "Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI", IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , 2014, pp.3051-3056. [PDF] Yan Deng, Anand Rangarajan, Stephan J. Eisenschenk, Baba C. Vemuri , " A Riemannian framework for matching point clouds represented by the Schrodinger distance transform ", IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , 2014, pp.3756-3761. [PDF] Hyunwoo J. Kim, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Baba C. Vemuri, Vikas Singh, " Canonical Correlation Analysis on Riemannian Manifolds and Its Applications", European Conf. on Computer Vision (ECCV) , 2014, pp.251-267. [PDF] Hesamoddin Salehian, David Vaillancourt, Baba C. Vemuri, "iPGA: Incremental Principal Geodesic Analysis with Applications to Movement Disorder Classification", Intl. Conf. on Medical Image Computing and Computer Aided Intervention (MICCAI) , 2014, pp.765-772. [PDF]
[2013]
	Meizhu Liu, Baba C. Vemuri, Rachid Deriche, "A robust variational approach for simultaneous smoothing and estimation of DTI", NeuroImage vol. 67, 2013, pp.33-41. [PDF] Guang Cheng and Baba C Vemuri, "A Novel Dynamic System in the Space of SPD Matrices with Applications to Appearance Tracking", SIAM Journal of Imaging Science vol. 6(1), 2013, pp.592-615. [PDF] Jiaqi Sun, Yuchen Xie, Wenxing Ye, Jeffrey Ho, Alireza Entezari, Stephen J. Blackband, Baba C. Vemuri:, "Dictionary Learning on the Manifold of Square Root Densities and Application to Reconstruction of Diffusion Propagator Fields", Intl. Conf. on Information Processing in Medical Imaging (IPMI) , 2013, pp.619-631. [PDF] Jeffrey Ho, Guang Cheng, Hesamoddin Salehian and Baba C. Vemuri, "Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers", International Conference on Artificial Intelligence and Statistics (AISTATS'13) , 2013, pp.325-332 . [PDF] Dohyung Seo, Jeffrey Ho and Baba C. Vemuri, "Computing Diffeomorphic Paths for Large Motion Interpolation", CVPR , 2013, pp.1227-1232. [PDF] Dohyung Seo, Jeffrey Ho and Baba C. Vemuri, "Computing Dieomorphic Paths with Applications to Cardiac Motion Analysis", MICCAI Workshop, Mathematical Foundations of Computational Anatomy , 2013, pp.. [PDF] Yuchen Xie, Jeffrey Ho, Baba C. Vemuri, "Multiple atlas construction from a heterogeneous brain MR image collection", IEEE Trans. on Medical Imaging vol. 32(3), 2013, pp.628-635. [PDF] Malek Charfi, Zeineb Chebbi, Maher Moakher, Baba C. Vemuri, "Using the Bhattacharyya Mean for the Filtering and Clustering of Positive-Definite Matrices", Geometric Science of Information Lecture Notes in Computer Science vol. 8085, 2013, pp.551-558. [PDF] Jeffrey Ho, Yuchen Xie and Baba C. Vemuri, "On A Nonlinear Generalization of Sparse Coding and Dictionary Learning", International Conference on Machine Learning (ICML) vol. 3, 2013, pp.1480-1488. [PDF]
[2012]
	Meizhu Liu, Baba C. Vemuri, Shun-Ichi Amari and Frank Nielsen,, "Shape Retrieval Using Hierarchical Total Bregman Soft Clustering", Transactions on Pattern Analysis and Machine Intelligence (TPAMI12) , 2012, pp.. [PDF] Meizhu Liu, Baba C. Vemuri, and Rachid Deriche, "Unsupervised Automatic White Matter Fiber Clustering Using a Gaussian Mixture Model", IEEE International Symposium on Biomedical Imaging (ISBI12), , 2012, pp.. Ting Chen, Anand Rangarajan, Stephan J. Eisenschenk and Baba C. Vemuri, "Construction of a Neuroanatomical Shape Complex Atlas from 3D MRI Brain Structures", NeuroImage vol. 60(3), 2012, pp.1778-1787 . Wenxing Ye, Baba C. Vemuri and Alireza Entezari, "An Over-complete Dictionary Based Regularized Reconstruction of A Field of Ensemble Average Propagators", IEEE International Symposium on Biomedical Imaging(ISBI) , 2012, pp.. Angelos Barmpoutis, Jeffrey Ho, Baba C. Vemuri, "Approximating Symmetric Positive Semidefinite Tensors of Even Order", SIAM J. Imaging Sciences vol. 5(1), 2012, pp.434-464. Wenxing Ye, Sharon Portnoy, Alireza Entezari, Stephen J. Blackband, Baba C. Vemuri, "Efficient Interlaced Multi-shell Sampling Scheme for Reconstruction of Diffusion Propagators", IEEE Transactions on Medical Imaging vol. 99, 2012, pp.1-1. Meizhu Liu, Baba C. Vemuri, "A Robust and Efficient Doubly Regularized Metric Learning Approach", European Conference on Computer Vision (ECCV) vol. (4), 2012, pp.646-659. [PDF] Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri, Hanspeter Pfister, "Trainable Convolution Filters and Their Application to Face Recognition", IEEE Trans. Pattern Anal. Mach. Intell. vol. 34(7), 2012, pp.1423-1436. Guang Cheng, Hesamoddin Salehian, Min-Sig Hwang, Dena Howland, John R. Forder and Baba C. Vemuri, "A novel intrinsic unscented Kalman filter for tractography from HARDI", IEEE International Symposium on Biomedical Imaging (ISBI'12) , 2012, pp.534-537. [PDF] Guang Cheng, Hesamoddin Salehian and Baba C. Vemuri, "Efficient Recursive Algorithms for Computing the Mean Diffusion Tensor and Applications to DTI Segmentation", European Conference on Computer Vision (ECCV'12) , 2012, pp.390-401. [PDF]
[2011]
	Ting Chen and Baba C. Vemuri and Anand Rangarajan and Stephan J. Eisenschenk, " Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , 2011, pp.. [PDF] Yuchen Xie and Jeffrey Ho and Baba Vemuri, "Nonnegative Factorization of Diffusion Tensor Images and Its Applications", IPMI , 2011, pp.550-561. [PDF] Bing Jian and Baba C. Vemuri, "Robust Point Set Registration Using Gaussian Mixture Models", IEEE Trans. Pattern Anal. Mach. Intell vol. 33(8), 2011, pp.1633-1645. Guang Cheng, Baba C. Vemuri, Min-Sig Hwang, Dena Howland and John R. Forder, "Atlas construction from high angular resolution diffusion imaging data represented by Gaussian Mixture fields", IEEE International Symposium on Biomedical Imaging (ISBI'11) , 2011, pp.549-552. Meizhu Liu and Baba C. Vemuri, "RBOOST: Riemannian Distance based Regularized Boosting", IEEE International Symposium on Biomedical Imaging (ISBI'11) , 2011, pp.1831-1834. Meizhu Liu and Baba C. Vemuri, "Robust and Efficient Regularized Boosting Using Total Bregman Divergence", IEEE Proceedings of the 24th Conference on Computer Vision and Pattern Recognition (CVPR'11) , 2011, pp.2897-2902. Meizhu Liu, Baba C. Vemuri, and Rachid Deriche, "Simultaneous Smoothing & Estimation of DTI via Robust Variational Non-local Means", MICCAI 2011 Workshop on Computational Diffusion MRI (CDMRI) , 2011, pp.. Ozlem N. Subakan and Baba C. Vemuri, "A Quaternion Framework for Color Image Smoothing andSegmentation", International Journal of Computer Vision vol. 91(3), 2011, pp.233-250. Ritwik Kumar, Angelos Barmpoutis, Arunava Banerjee and Baba C. Vemuri, "Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines", IEEE Trans. Pattern Anal. Mach. Intell vol. 33(3), 2011, pp. 533-567. Wenxing Ye, Sharon Portnoy, Alireza Entezari, Baba C. Vemuri and Stephen J. Blackband, "Box spline based 3D tomographic reconstruction of diffusion propagators from MRI data", IEEE International Symposium on Biomedical Imaging (ISBI'11) , 2011, pp.397-400. Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri & Hanspeter Pfister, "Maximizing All Margins: Pushing Face Recognition with Kernel Plurality", International Conference on Computer Vision (ICCV) , 2011, pp.. [PDF] Sharon Portnoy, Wenxing Ye, Alireza Entezari, Stephen J. Blackband, Baba C. Vemuri, "A Novel Interlaced Sampling Scheme for Multi-Shell q-space Magnetic Resonance Microscopy", International Society for Magnetic Resonance in Medicine (ISMRM) , 2011, pp.. Guang Cheng, Hesamoddin Salehian, Baba C. Vemuri, "Fiber Tracking on Corticospinal Tract in Human Brain using an Intrinsic Unscented Kalman Filter", Medical Image Computing and Computer Assisted Intervention (MICCAI) Challenge , 2011, pp..
[2010]
	Ting Chen, Anand Rangarajan and Baba C. Vemuri, "CAVIAR: Classification via Aggregated Regression and Its Application in Classifying the OASIS Brain Database", IEEE International Symposium on Biomedical Imaging , 2010, pp.1337 - 1340. [PDF] Ting Chen, Baba C. Vemuri, Anand Rangarajan and Stephan J. Eisenschenk, "Group-wise Point-set registration using a novel CDF-based Havrda-Charvat Divergence", International Journal of Computer Vision vol. 86(1), 2010, pp.111-124. [PDF] Meizhu Liu and Baba Vemuri and Shun-Ichi Amari and Frank Nielsen, "Total Bregman Divergence and its Applications to Shape Retrieval", IEEE Conference on Computer Vision and Pattern Recognition , 2010, pp.. [PDF] Wenxing Ye, Alireza Entezari and Baba C. Vemuri, "TOMOGRAPHIC RECONSTRUCTION OF DIFFUSION PROPAGATORS FROM DW-MRI USING OPTIMAL SAMPLING LATTICES", IEEE International Symposium on Biomedical Imaging , 2010, pp.788-791. [PDF] Yuchen Xie and Jeffrey Ho and Baba Vemuri, "Image Atlas Construction via Intrinsic Averaging on the Manifold of Images", IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2010, pp.. [PDF] Yuchen Xie and Baba Vemuri and Jeffrey Ho, "Statistical Analysis of Tensor Fields", Medical Image Computing and Computer Assisted Intervention (MICCAI) , 2010, pp.. [PDF] Angelos Barmpoutis and Baba Vemuri, "A unified framework for estimating diffusion tensors of any order with symmetric positive-definite constraints", IEEE International Symposium on Biomedical Imaging , 2010, pp.1385-1388. [PDF] Meizhu Liu, Baba C. Vemuri, Shun-Ichi Amari and Frank Nielsen, "Total Bregman Divergence and its Applications to Shape Retrieval", IEEE Conference on Computer Vision and Pattern Recognition , 2010, pp.3463-3468. [PDF] Ting Chen and Baba C. Vemuri and Anand Rangarajan and Stephan J. Eisenschenk, "Construction of Neuroanatomical Shape Complex Atlas from 3D Brain MRI", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , 2010, pp.65-72. [PDF] Ritwik Kumar, Baba C. Vemuri & Arunava Banerjee, "Eigenbubbles: An Enhanced Apparent BRDF Representation", International Conference on Pattern Recognition (ICPR) , 2010, pp.. [PDF]