Baba C. Vemuri

Q: What Schools Are Affiliated With Baba C. Vemuri

Baba C. Vemuri is affiliated with the following schools: University of Texas at Austin, University of Florida

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Baba C. Vemuri

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Engineering

Why Is Baba C. Vemuri Influential?

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According to Wikipedia, Baba C. Vemuri is the Wilson and Marie Collins Professor of Engineering and a Distinguished Professor at the Computer and Information Sciences and Engineering Department of the University of Florida. He is also the Director of Laboratory for Vision Graphics and Medical Imaging at University of Florida.

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Baba C. Vemuri's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Shape Modeling with Front Propagation: A Level Set Approach (1995) (3637)
Robust Point Set Registration Using Gaussian Mixture Models (2011) (841)
Medical image analysis (1999) (649)
Cumulative residual entropy: a new measure of information (2004) (470)
Resolution of complex tissue microarchitecture using the diffusion orientation transform (DOT) (2006) (443)
A robust algorithm for point set registration using mixture of Gaussians (2005) (374)
On Three-Dimensional Surface Reconstruction Methods (1991) (318)
An accurate and efficient Bayesian method for automatic segmentation of brain MRI (2002) (290)
A novel tensor distribution model for the diffusion-weighted MR signal (2007) (241)
Image registration via level-set motion: Applications to atlas-based segmentation (2003) (238)
A Unified Computational Framework for Deconvolution to Reconstruct Multiple Fibers From Diffusion Weighted MRI (2007) (215)
A constrained variational principle for direct estimation and smoothing of the diffusion tensor field from complex DWI (2004) (208)
Topology-independent shape modeling scheme (1993) (200)
Curvature-based representation of objects from range data (1986) (190)
Generalized scalar measures for diffusion MRI using trace, variance, and entropy (2005) (181)
Evolutionary Fronts for Topology-Independent Shape Modeling and Recoveery (1994) (175)
DTI segmentation using an information theoretic tensor dissimilarity measure (2005) (166)
Regularized positive-definite fourth order tensor field estimation from DW-MRI (2009) (139)
Non-Rigid Multi-Modal Image Registration Using Cross-Cumulative Residual Entropy (2007) (138)
The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for Neurosurgery (2015) (137)
Diffusion Basis Functions Decomposition for Estimating White Matter Intravoxel Fiber Geometry (2007) (124)
A fast level set based algorithm for topology-independent shape modeling (1996) (115)
An affine invariant tensor dissimilarity measure and its applications to tensor-valued image segmentation (2004) (110)
On A Nonlinear Generalization of Sparse Coding and Dictionary Learning (2013) (108)
Image denoising and segmentation via nonlinear diffusion (2000) (105)
Observation of anomalous diffusion in excised tissue by characterizing the diffusion-time dependence of the MR signal. (2006) (105)
Fiber tract mapping from diffusion tensor MRI (2001) (104)
DT-MRI denoising and neuronal fiber tracking (2004) (102)
A Quaternion Framework for Color Image Smoothing and Segmentation (2011) (98)
Shape Retrieval Using Hierarchical Total Bregman Soft Clustering (2012) (98)
Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction (2006) (97)
Total Bregman Divergence and Its Applications to DTI Analysis (2011) (97)
Tensor Field Segmentation Using Region Based Active Contour Model (2004) (94)
Tensor Splines for Interpolation and Approximation of DT-MRI With Applications to Segmentation of Isolated Rat Hippocampi (2007) (93)
Multiresolution stochastic hybrid shape models with fractal priors (1994) (90)
Dynamic Catmull-Clark Subdivision Surfaces (1998) (88)
Local frequency representations for robust multimodal image registration (2002) (88)
Reliable and Efficient Computation of Optical Flow (1998) (87)
A unified framework for estimating diffusion tensors of any order with symmetric positive-definite constraints (2010) (80)
Symmetric Positive 4th Order Tensors & Their Estimation from Diffusion Weighted MRI (2007) (78)
3-D MODEL CONSTRUCTION FROM MULTIPLE VIEWS USING RANGE AND INTENSITY DATA. (1986) (75)
Joint Image Registration and Segmentation (2003) (73)
An efficient motion estimator with application to medical image registration (1998) (67)
von Mises-Fisher mixture model of the diffusion ODF (2006) (67)
A level-set based approach to image registration (2000) (64)
Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence (2006) (62)
Volterrafaces: Discriminant analysis using Volterra kernels (2009) (59)
Cumulative residual entropy, a new measure of information & its application to image alignment (2003) (58)
A New & Robust Information Theoretic Measure and Its Application to Image Alignment (2003) (54)
Total Bregman divergence and its applications to shape retrieval (2010) (53)
Estimation, smoothing, and characterization of apparent diffusion coefficient profiles from High Angular Resolution DWI (2004) (53)
Multi-fiber Reconstruction from Diffusion MRI Using Mixture of Wisharts and Sparse Deconvolution (2007) (53)
Matching 3D Shapes Using 2D Conformal Representations (2004) (53)
Geometric Methods in Computer Vision (1991) (53)
A novel FEM-based dynamic framework for subdivision surfaces (1999) (52)
Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured Covariance Matrices (2016) (52)
Simultaneous Registration and Segmentation of Anatomical Structures from Brain MRI (2005) (51)
A Novel Dynamic System in the Space of SPD Matrices with Applications to Appearance Tracking (2013) (50)
Closed-Form Jensen-Renyi Divergence for Mixture of Gaussians and Applications to Group-Wise Shape Registration (2009) (50)
Group-Wise Point-Set Registration Using a Novel CDF-Based Havrda-Charvát Divergence (2009) (49)
Representation and recognition of objects from dense range maps (1987) (49)
Maximizing all margins: Pushing face recognition with Kernel Plurality (2011) (48)
Trainable Convolution Filters and Their Application to Face Recognition (2012) (47)
Fast Collision Detection Algorithms with Applications to Particle Flow (1998) (46)
Segmentation of High Angular Resolution Diffusion MRI Modeled as a Field of von Mises-Fisher Mixtures (2006) (45)
Registration of High Angular Resolution Diffusion MRI Images Using 4 th Order Tensors (2007) (43)
A Constrained Variational Principle for Direct Estimation and Smoothing of the Diffusion Tensor Field from DWI (2003) (42)
Extracting Tractosemas from a Displacement Probability Field for Tractography in DW-MRI (2008) (42)
Adaptive Kernels for Multi-fiber Reconstruction (2009) (40)
A New Affine Registration Algorithm for Matching 2D Point Sets (2007) (40)
Fiber orientation mapping using generalized diffusion tensor imaging (2004) (39)
From global to local, a continuum of shape models with fractal priors (1993) (39)
Simultaneous Registration and Parcellation of Bilateral Hippocampal Surface Pairs for Local Asymmetry Quantification (2007) (39)
Efficient and Accurate Collision Detection for Granular Flow Simulation (1998) (37)
A Robust and Efficient Doubly Regularized Metric Learning Approach (2012) (36)
Constructing Intrinsic Parameters with Active Models for Invariant Surface Reconstruction (1993) (36)
Front Propagation: A Framework for Topology Independent Shape Modeling and Recovery (1994) (35)
Statistical Analysis of Tensor Fields (2010) (34)
Joint registration and segmentation of neuroanatomic structures from brain MRI. (2006) (33)
Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers (2013) (31)
A geometric flow for white matter fibre tract reconstruction (2002) (31)
A Nonlinear Regression Technique for Manifold Valued Data with Applications to Medical Image Analysis (2016) (29)
Kernel Fisher discriminant for shape-based classification in epilepsy (2007) (29)
Dynamic Modeling of Butterfly Subdivision Surfaces (2000) (28)
Recursive Fréchet Mean Computation on the Grassmannian and Its Applications to Computer Vision (2015) (28)
VARIATIONAL DENOISING OF DIFFUSION WEIGHTED MRI. (2009) (28)
Fast displacement probability profile approximation from HARDI using 4th-order tensors (2008) (28)
A Riemannian Framework for Matching Point Clouds Represented by the Schrödinger Distance Transform (2014) (28)
Multiresolution Adaptive K-means Algorithm for Segmentation of Brain MRI (1995) (27)
Range image understanding (1992) (27)
Non-rigid Registration of High Angular Resolution Diffusion Images Represented by Gaussian Mixture Fields (2009) (27)
Recovery of intra-voxel structure from HARD DWI (2004) (26)
Robust Nonrigid Multimodal Image Registration Using Local Frequency Maps (2005) (26)
Efficient Recursive Algorithms for Computing the Mean Diffusion Tensor and Applications to DTI Segmentation (2012) (26)
Statistics on the Stiefel manifold: Theory and applications (2019) (25)
An efficient recursive estimator of the Fréchet mean on a hypersphere with applications to Medical Image Analysis (2015) (25)
An Efficient Interlaced Multi-Shell Sampling Scheme for Reconstruction of Diffusion Propagators (2012) (25)
Multi-fiber reconstruction from DW-MRI using a continuous mixture of von Mises-Fisher distributions (2008) (24)
ManifoldNet: A Deep Neural Network for Manifold-Valued Data With Applications (2018) (23)
Canonical Correlation Analysis on Riemannian Manifolds and Its Applications (2014) (23)
Non-Lambertian Reflectance Modeling and Shape Recovery of Faces Using Tensor Splines (2011) (23)
Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging (2017) (22)
Hybrid Geometric Active Models for Shape Recovery in Medical Images (1999) (22)
An over-complete dictionary based regularized reconstruction of a field of ensemble average propagators (2012) (22)
Nonlinear Regression on Riemannian Manifolds and Its Applications to Neuro-Image Analysis (2015) (22)
A New Dynamic FEM-Based Subdivision Surface Model for Shape Recovery and Tracking in Medical Images (1998) (21)
Multi-Resolution Stochastic 3D Shape Models for Image Segmentation (1993) (21)
Simultaneous smoothing and estimation of the tensor field from diffusion tensor MRI (2003) (21)
Nonnegative Factorization of Diffusion Tensor Images and Its Applications (2011) (21)
Physically Based Adaptive Preconditioning for Early Vision (1997) (21)
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices (2018) (21)
Groupwise Registration and Atlas Construction of 4th-Order Tensor Fields Using the R + Riemannian Metric (2009) (20)
Fast numerical algorithms for fitting multiresolution hybrid shape models to brain MRI (1998) (20)
Generalized L2-Divergence and Its Application to Shape Alignment (2009) (19)
Image atlas construction via intrinsic averaging on the manifold of images (2010) (19)
Feature Preserving Image Smoothing Using a Continuous Mixture of Tensors (2007) (19)
Recursive Estimation of the Stein Center of SPD Matrices and Its Applications (2013) (19)
A fast Gibbs sampler for synthesizing constrained fractals (1996) (19)
Registration Assisted Image Smoothing and Segmentation (2002) (19)
Dynamic smooth subdivision surfaces for data visualization (1997) (19)
Real-Time DRR Generation Using Cylindrical Harmonics (2002) (19)
A robust variational approach for simultaneous smoothing and estimation of DTI (2013) (18)
Beyond the Lambertian assumption: A generative model for Apparent BRDF fields of faces using anti-symmetric tensor splines (2008) (17)
Using the KL-center for efficient and accurate retrieval of distributions arising from texture images (2005) (17)
Snake Pedals: Compact and Versatile Geometric Models with Physics-Based Control (2000) (17)
Line Integral Convolution for Visualization of Fiber Tract Maps from DTI (2002) (16)
Robust and efficient algorithms for optical flow computation (1995) (16)
Multiple Atlas Construction From A Heterogeneous Brain MR Image Collection (2013) (16)
Symmetric Positive 4 th Order Tensors & Their Estimation from Diffusion Weighted MRI (2007) (16)
Bhattacharyya median of symmetric positive-definite matrices and application to the denoising of diffusion-tensor fields (2013) (15)
H-CNNs: Convolutional Neural Networks for Riemannian Homogeneous Spaces (2018) (15)
Construction of a neuroanatomical shape complex atlas from 3D MRI brain structures (2012) (15)
An Efficient Exact-PGA Algorithm for Constant Curvature Manifolds (2016) (14)
An O(N) iterative solution to the Poisson equation in low-level vision problems (1994) (14)
Efficient hybrid search for visual reconstruction problems (1999) (13)
Unsupervised automatic white matter fiber clustering using a Gaussian mixture model (2012) (13)
Caviar: Classification via aggregated regression and its application in classifying oasis brain database (2010) (13)
ManifoldNet: A Deep Network Framework for Manifold-valued Data (2018) (13)
Tracking on the Product Manifold of Shape and Orientation for Tractography from Diffusion MRI (2014) (13)
Dictionary Learning on the Manifold of Square Root Densities and Application to Reconstruction of Diffusion Propagator Fields (2013) (13)
Approximating Symmetric Positive Semidefinite Tensors of Even Order (2012) (13)
Sherman-morrison-woodbury-formula-based algorithms for the surface smoothing problem (1997) (12)
State of the Art Lossless Image Compression Algorithms (2007) (12)
Robust Multimodal Image Registration Using Local Frequency Representations (2001) (12)
Multi-fiber Reconstruction from DW-MRI Using a Continuous Mixture of Hyperspherical von Mises-Fisher Distributions (2009) (12)
Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning (2017) (12)
Fast Orientation Mapping from HARDI (2005) (12)
Automatic fiber tractography from DTI and its validation (2002) (12)
The MPM-MAP algorithm for image segmentation (2000) (11)
3-D Object Representation from Range Data Using Intrinsic Surface Properties (1987) (11)
Tractography From HARDI Using an Intrinsic Unscented Kalman Filter (2015) (11)
Canonical Parameters for Invariant Surface Representation (1990) (11)
Image segmentation via convolution of a level-set function with a Rigaut Kernel (2008) (11)
3-DIMENSIONAL RECONSTRUCTION OF OBJECTS FROM RANGE DATA. (1984) (11)
Metric Learning Using Iwasawa Decomposition (2007) (11)
Statistics on the (compact) Stiefel manifold: Theory and Applications (2017) (11)
Snake pedals: geometric models with physics-based control (1998) (10)
An efficient expected time parallel algorithm for Voronoi construction (1992) (10)
A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging (2019) (10)
Using the Bhattacharyya Mean for the Filtering and Clustering of Positive-Definite Matrices (2013) (10)
Total bregman divergence, a robust divergence measure, and its applications (2011) (10)
USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images (2007) (10)
Robust and efficient regularized boosting using total Bregman divergence (2011) (10)
Kernel Fisher for Shape Based Classification in Epilepsy (2002) (10)
Deformable Pedal Curves and Surfaces: Hybrid Geometric Active Models for Shape Recovery (2001) (9)
Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection (2011) (9)
A CNN for homogneous Riemannian manifolds with applications to Neuroimaging (2018) (9)
Leveraging EAP-Sparsity for Compressed Sensing of MS-HARDI in (k, q)-Space (2015) (9)
Image analysis of solid-liquid interface morphology in freezing solutions (1983) (9)
Computing Diffeomorphic Paths for Large Motion Interpolation (2013) (9)
A Method for Automated Classification of Parkinson’s Disease Diagnosis Using an Ensemble Average Propagator Template Brain Map Estimated from Diffusion MRI (2016) (9)
Characterization of Anomalous Diffusion from MR Signal may be a New Probe to Tissue Microstructure (2006) (9)
Atlas construction from high angular resolution diffusion imaging data represented by Gaussian Mixture fields (2011) (9)
Manifold-valued Dirichlet Processes (2015) (9)
Statistics on the space of trajectories for longitudinal data analysis (2017) (8)
Covariant Image Representation with Applications to Classification Problems in Medical Imaging (2015) (8)
Multimodal image registration using local frequency (2000) (8)
Construction of Neuroanatomical Shape Complex Atlas from 3D Brain MRI (2010) (8)
Intrinsic Grassmann Averages for Online Linear, Robust and Nonlinear Subspace Learning (2017) (8)
A Mixture of Wisharts (MOW) Model for Multifiber Reconstruction (2009) (8)
Basis functions for estimating intra-voxel structure in DW-MRI (2004) (7)
Shape recovery using dynamic subdivision surfaces (1998) (7)
Localization of objects from range data (1988) (7)
DMR-CNN: A CNN Tailored For DMR Scans With Applications To PD Classification (2019) (7)
A Geometric Framework for Statistical Analysis of Trajectories with Distinct Temporal Spans (2017) (7)
EXPONENTIAL TENSORS: A FRAMEWORK FOR EFFICIENT HIGHER-ORDER DT-MRI COMPUTATIONS (2007) (6)
A CONTINUOUS MIXTURE OF TENSORS MODEL FOR DIFFUSION-WEIGHTED MR SIGNAL RECONSTRUCTION (2007) (6)
Color Image Segmentation in a Quaternion Framework (2009) (6)
Efficient multi-modal image registration using local-frequency maps (2002) (6)
iPGA: Incremental Principal Geodesic Analysis with Applications to Movement Disorder Classification (2014) (6)
Dictionary Learning on Riemannian Manifolds (2012) (6)
Robust Tensor Splines for Approximation of Diffusion Tensor MRI Data (2006) (6)
Supervised learning for brain MR segmentation via fusion of partially labeled multiple atlases (2016) (6)
Higher Rank Tensors in Diffusion MRI (2006) (6)
Large margin pursuit for a Conic Section classifier (2008) (6)
Physically-based adaptive preconditioners for early vision (1995) (5)
The MPM-MAP algorithm for motion segmentation (2004) (5)
A novel intrinsic unscented Kalman filter for tractography from HARDI (2012) (5)
Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices with Applications to Neuroimaging (2019) (5)
Sparse Exact PGA on Riemannian Manifolds (2017) (5)
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design (2021) (5)
Jensen Divergence-Based Means of SPD Matrices (2013) (5)
Erratum to “A novel tensor distribution model for the diffusion-weighted MR signal” [NeuroImage 37 (2007) 164–176] (2008) (5)
Exploiting structural redundancy in q‐space for improved EAP reconstruction from highly undersampled (k, q)‐space in DMRI☆ (2019) (5)
Fast Algorithms for Fitting Multiresolution Hybrid Shape Models to Brain MRI (1996) (5)
RBoost: Riemannian distance based regularized Boosting (2011) (5)
Statistical Recurrent Models on Manifold valued Data (2018) (5)
Tomographic reconstruction of diffusion propagators from DW-MRI using optimal sampling lattices (2010) (4)
Robust Fréchet Mean and PGA on Riemannian Manifolds with Applications to Neuroimaging (2017) (4)
Fast solution to the surface reconstruction problem (1993) (4)
Recursive Computation of the Fréchet Mean on Non-positively Curved Riemannian Manifolds with Applications (2016) (4)
A Conic Section Classifier and its Application to Image Datasets (2006) (4)
A coupled PDE model of nonlinear diffusion for image smoothing and segmentation (1998) (4)
A geometric framework for ensemble average propagator reconstruction from diffusion MRI (2019) (4)
A model for characterizing the motion of the solid-liquid interface in freezing solutions (1984) (4)
Box spline based 3D tomographic reconstruction of diffusion propagators from MRI data (2011) (4)
Denoising and Visualization of HARDI Data (2005) (4)
Diffusion tensor field restoration and segmentation (2004) (4)
Canonical Correlation Analysis on SPD(n) Manifolds (2016) (4)
Generalized Capacitance Matrix Theorems and Algorithm for Solving Linear Systems (1998) (4)
Interpolation on the Manifold of K Component GMMs (2015) (4)
An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices* (2020) (3)
Physically-based Adaptive Preconditioning for Early Vision 1 (1997) (3)
A Higher Order Manifold-Valued Convolutional Neural Network with Applications to Diffusion MRI Processing (2021) (3)
Efficient Algorithms for Lossless Compression of 2D/3D Images (1999) (3)
Efficient Shape Indexing Using an Information Theoretic Representation (2005) (3)
Constrained implicit function fitting (1992) (3)
Complex Diffusion on Scalar and Vector Valued Image Graphs (2009) (3)
Surface griding with intrinsic parameters (1992) (3)
Computing Diffeomorphic Paths with Applications to Cardiac Motion Analysis (2013) (3)
MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications (2020) (3)
Intrinsic parameters for surface representation using deformable models (1993) (3)
Shrinkage Estimation of the Frechet Mean in Lie groups (2020) (3)
VolterraNet: A Higher Order Convolutional Network With Group Equivariance for Homogeneous Manifolds (2020) (3)
Representation and recognition of objects from depth maps (1987) (3)
Information Theoretic Methods for Diffusion-Weighted MRI Analysis (2009) (2)
Fusing probability distributions with information theoretic centers and its application to data retrieval (2005) (2)
Efficient anisotropic α-Kernels decompositions and flows (2008) (2)
Quaternion-Based Color Image Smoothing Using a Spatially Varying Kernel (2009) (2)
A Robust and Efficient Algorithm for Image Registration (1997) (2)
An interactive algorithm for image denoising and segmentation (2001) (2)
Snake pedals: active geometric models for shape modeling and recovery (1998) (2)
A Mixture Model for Aggregation of Multiple Pre-Trained Weak Classifiers (2018) (2)
Jensen divergence based SPD matrix means and applications (2012) (2)
Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis (2021) (2)
Denoising, segmentation and visualization of diffusion weighted mri (2005) (2)
Information theoretic measures and their applications to image registration and segmentation (2006) (1)
Invariant surface and motion estimation from sparse range data (1992) (1)
An Efficient Recursive Algorithm for Atlas Construction (2015) (1)
Groupwise Registration and Atlas Construction of 4th-Order Tensor Fields Using the ℝ Riemannian Metric. (2009) (1)
Variable-Bit-Lengthn Coding: An Effective Coding Method (1999) (1)
Simultaneous Smoothing and Estimation of DTI via Robust Variational Non-local Means (2011) (1)
Robust and Eecient Computation of Optical Flow 1 List of Figures (1995) (1)
The Diffusion Orientation Transform (DOT) for MR Imaging (2005) (1)
Relighting, pose change and recognition of faces (2009) (1)
An information theoretic formulation of the Dictionary Learning and Sparse Coding Problems on Statistical Manifolds (2016) (1)
Variational Principles for Diffusion Weighted MRI Restoration and Segmentation (2005) (1)
Fast Non-rigid Multimodal Image Registration Using Local Frequency Maps (2001) (1)
Diffusion Tensor MR Image Restoration (2003) (1)
Continuous mixture models for feature preserving smoothing and segmentation (2009) (1)
REP-2008-451: Face Relighting for Recognition (2008) (1)
Complex diffusion on image graphs (2009) (1)
Matching and Classification of Images Using The Space of Image Graphs (2011) (1)
Reliable and Efficient Image Registration (1997) (1)
Multi-class DTI Segmentation: A Convex Approach. (2012) (1)
LONGITUDINAL ANALYSIS OF STRUCTURAL MRI IN ALZHEIMER'S DISEASE USING RIEMANNIAN MIXED EFFECTS MODELS (2017) (1)
AMixture of Wisharts ( MOW ) Model for Multi-fiber Reconstruction (2015) (1)
A nonparametric reconstruction and its matrix implementation for the diffusion orientation transform (DOT) (2006) (1)
Surface and motion estimation from sparse range data (1991) (1)
Horocycle Decision Boundaries for Large Margin Classification in Hyperbolic Space (2023) (0)
Anisotropic alpha -Kernels and Associated Flows (2007) (0)
Eigenbubbles: An Enhanced Apparent BRDF Representation (2010) (0)
Special Section in Celebration of Professor J.K. Aggarwal (2013) (0)
An Intrinsic Geometric Framework for Simultaneous Non-Rigid Registration and Segmentation of Surfaces ? (2011) (0)
A Framework for Improving the Characterization Scope of Stein's Method on Riemannian Manifolds (2022) (0)
A Physical basis for multi-fiber reconstruction from DW-MRI data (2009) (0)
Groupwise analysis of neuroimaging data (2011) (0)
3 D Shape Re onstru tion from Multiple (2007) (0)
The MPM-MAP Algorithm for Image Segmentatio. (2000) (0)
Geometric approaches to group-wise image analysis (2012) (0)
Learning with Iwasawa Coordinates (2006) (0)
Shape analysis via unified segmentation, smoothing, and registration of riemannian structures (2007) (0)
– The sampling theorem (2018) (0)
Effective and Anatomical Connectivity in a Rat Model of Spontaneous Limbic Seizure (2008) (0)
Image Compression: Lossless (2015) (0)
Novel MRI contrast in nervous tissue based on the observation of anomalous diffusion (2007) (0)
Mathematical modeling for multi-fiber reconstruction from diffusion-weighted magnetic resonance images (2009) (0)
Computing motion parameters from sparse multisensor range data for telerobotics (1991) (0)
Non-rigid Registration of High Angular Resolution Diffusion Images Represented by Gaussian Mixture Fields. (2009) (0)
Physics-Based Shape Modeling And Shape Recovery Using Multiresolution Subdivision Surfaces (2005) (0)
Covariant Image Representation with Applications to Classification Problems in Medical Imaging (2015) (0)
Proceedings of the 5th international conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (2005) (0)
Extension of the Diffusion Orientation Transform ( DOT ) to Multiexponential Signal Attenuation (2005) (0)
Nested Grassmanns for Dimensionality Reduction (2020) (0)
Anisotropic Alpha-Kernels and Associated Flows (2010) (0)
New Results - Improving Diffusion MRI Signal and Acquisition (2013) (0)
Efficient and robust algorithms for multimodal image registration (2002) (0)
Statistical analysis of a nonlinear estimator for ADC and its application to optimizing diffusion weighting factors (2004) (0)
Nested Grassmannians for Dimensionality Reduction with Applications (2020) (0)
Image Registration with Applications to Medical Imaging (2004) (0)
Efficient recursive estimation of the Riemannian barycenter on the hypersphere and the special orthogonal group with applications (2020) (0)
A Novel Interlaced Sampling Scheme for Multi-Shell q-space Magnetic Resonance Microscopy (2010) (0)
Tractography in the CST using an Intrinsic Unscented Kalman Filter (2011) (0)
Dictionary Learning and Sparse Coding on Statistical Manifolds (2018) (0)
From ADC to Probability Profiles : The Diffusion Orientation Transform (2005) (0)
Dynamic Subdivision Surfaces For Natural Terrain Modeling (2005) (0)
Proceedings Workshop on Biomedical Image Analysis, June 26-27, 1998, Santa Barbara, California (1998) (0)
A Geometric Variational Framework for Simultaneous Registration and Parcellation of Homologous Surfaces (2007) (0)
Robust interpolation of DT-MRI data using Tensor Splines (2006) (0)
A novel conic section classifier with tractable geometric learning algorithms (2009) (0)
Statistical analysis of longitudinal data and applications to neuro-imaging (2017) (0)
Geometric methods in computer vision : 25-26 July 1991, San Diego, California (1991) (0)

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