Luminita A. Vese

发表

Image filling-in in a decomposition space

Guillermo Sapiro, Stanley Osher, Marcelo Bertalmío, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Variational PDE models in image processing

Tony F. Chan, Luminita A. Vese, Jianhong Shen, 2002 .

Nonlocal Mumford-Shah Regularizers for Color Image Restoration

Xavier Bresson, Tony F. Chan, Luminita A. Vese, 2011, IEEE Transactions on Image Processing.

EM+TV Based Reconstruction for Cone-Beam CT with Reduced Radiation

Jason Cong, Ming Yan, Alex A. T. Bui, 2011, ISVC.

Unbiased Volumetric Registration via Nonlinear Elastic Regularization

Paul M. Thompson, Arthur W. Toga, Alex D. Leow, 2008 .

An Iterative Method with General Convex Fidelity Term for Image Restoration

Luminita A. Vese, Miyoun Jung, Elena Resmerita, 2010, ECCV.

Topology preserving active contours

Hayden Schaeffer, Luminita A. Vese, Carole Le Guyader, 2014 .

Multiphase Object Detection and Image Segmentation

Luminita A. Vese, L. Vese, 2003 .

Image Decomposition Using Total Variation and div(BMO)

Luminita A. Vese, Triet M. Le, L. Vese, 2005, Multiscale Model. Simul..

Projected Gradient Based Color Image Decomposition

Jean-François Aujol, Luminita A. Vese, Vincent Duval, 2009, SSVM.

Computational methods for image restoration, image segmentation, and texture modeling

Luminita A. Vese, Triet M. Le, Ginmo Chung, 2006, Electronic Imaging.

Energy Minimization for Cirrus and Cumulus Cloud Separation in Atmospheric Images

Luminita A. Vese, Igor Yanovsky, Charles Z. Marshak, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Shape Representation based on Integral Kernels: Application to Image Matching and Segmentation

Stefano Soatto, Byung-Woo Hong, Luminita A. Vese, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Color Texture Modeling and Color Image Decomposition in a Variational-PDE Approach

Stanley Osher, Luminita A. Vese, S. Osher, 2006, 2006 Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

Sobolev gradients and joint variational image segmentation, denoising, and deblurring

Alan L. Yuille, Ganesh Sundaramoorthi, Luminita A. Vese, 2009, Electronic Imaging.

Enforcing local context into shape statistics

Stefano Soatto, Byung-Woo Hong, Luminita A. Vese, 2009, Adv. Comput. Math..

Active contours without edges

Tony F. Chan, Luminita A. Vese, L. Vese, 2001, IEEE Trans. Image Process..

HARDI Denoising: Variational Regularization of the Spherical Apparent Diffusion Coefficient sADC

Paul M. Thompson, Arthur W. Toga, Yunho Kim, 2009, IPMI.

Computational Anatomy and Implicit Object Representation: A Level Set Approach

Stanley Osher, Marvin Bergsneider, Luminita A. Vese, 2003, WBIR.

Image Decomposition and Restoration Using Total Variation Minimization and the H1

Stanley Osher, Luminita A. Vese, Andres Fco. Solé, 2003, Multiscale Model. Simul..

Automated vasculature extraction from placenta images

Pascal Getreuer, Luminita A. Vese, Todd Wittman, 2011, Medical Imaging.

Simultaneous structure and texture image inpainting

Guillermo Sapiro, Stanley Osher, Marcelo Bertalmío, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Guest Editorial

Laurent D. Cohen, Luminita A. Vese, Nir A. Sochen, 2008, Journal of Mathematical Imaging and Vision.

Functional form of motion priors in human motion perception

Alan L. Yuille, Hongjing Lu, Luminita A. Vese, 2010, NIPS.

Numerical Methods for p-Harmonic Flows and Applications to Image Processing

Stanley Osher, Luminita A. Vese, S. Osher, 2002, SIAM J. Numer. Anal..

Placental fetal stem segmentation in a sequence of histology images

Luminita A. Vese, Prashant Athavale, L. Vese, 2012, Medical Imaging.

Dual Norm Based Iterative Methods for Image Restoration

Luminita A. Vese, Miyoun Jung, Elena Resmerita, 2012, Journal of Mathematical Imaging and Vision.

Cartoon+Texture Image Decomposition

Jean-Michel Morel, Antoni Buades, Luminita A. Vese, 2011, Image Process. Line.

Mathematical Modeling of Textures: Application to Color Image Decomposition with a Projected Gradient Algorithm

Jean-François Aujol, Luminita A. Vese, Vincent Duval, 2010, Journal of Mathematical Imaging and Vision.

A variational model for denoising high angular resolution diffusion imaging

Christophe Lenglet, Paul M. Thompson, Bryon A. Mueller, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Active Contours with Free Endpoints

Hayden Schaeffer, Luminita A. Vese, 2013, Journal of Mathematical Imaging and Vision.

Image decomposition, image restoration, and texture modeling using total variation minimization and the H/sup -1/ norm

Stanley Osher, Luminita A. Vese, Andres Fco. Solé, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Energy Minimization Based Segmentation and Denoising Using a Multilayer Level Set Approach

Luminita A. Vese, Ginmo Chung, L. Vese, 2005, EMMCVPR.

An Active Contour Model without Edges

Tony F. Chan, Luminita A. Vese, L. Vese, 1999, Scale-Space.

A convex minimization model in image restoration via one-dimensional Sobolev norm profiles

Yunho Kim, Luminita A. Vese, John B. Garnett, 2011, 2011 18th IEEE International Conference on Image Processing.

Registration for 3D Morphological Comparison of Brain Aneurysm Growth

Aichi Chien, Luminita A. Vese, Carl Lederman, 2011, ISVC.

Functional minimization problems in image processing

Yunho Kim, Luminita A. Vese, 2008, Electronic Imaging.

A simple boundary reinforcement technique for segmentation without prior

Edward Jones, Martin Glavin, Luminita A. Vese, 2014, Pattern Recognit. Lett..

Image Denoising and Decomposition with Total Variation Minimization and Oscillatory Functions

Stanley Osher, Luminita A. Vese, S. Osher, 2004, Journal of Mathematical Imaging and Vision.

A Unified Variational Volume Registration Method Based on Automatically Learned Brain Structures

Arthur W. Toga, Ivo D. Dinov, John D. Van Horn, 2015, Journal of Mathematical Imaging and Vision.

Nonlocal Adaptive Biharmonic Regularizer for Image Restoration

Luminita A. Vese, Ying Wen, Ying Wen, 2020, Journal of Mathematical Imaging and Vision.

A Nonlocal Laplacian-Based Model for Bituminous Surfacing Crack Recovery and its MPI Implementation

Luminita A. Vese, Noémie Debroux, Carole Le Guyader, 2020, Journal of Mathematical Imaging and Vision.

Variational PDE models and methods for image processing

Tony F. Chan, Peter Blomgren, Luminita A. Vese, 1999 .

A Multiscale Image Representation Using Hierarchical (BV, L2 ) Decompositions

Eitan Tadmor, Luminita A. Vese, Suzanne Nezzar, 2004, Multiscale Model. Simul..

Gene to mouse atlas registration using a landmark-based nonlinear elasticity smoother

Paul M. Thompson, Arthur W. Toga, Ivo D. Dinov, 2009, Medical Imaging.

An open level set framework for image segmentation and restoration using the Mumford and Shah model

Luminita A. Vese, Rami Mohieddine, L. Vese, 2011, Electronic Imaging.

A Level-Set and Gabor-based Active Contour Algorithm for Segmenting Textured Images

Tony F. Chan, Luminita A. Vese, Berta Sandberg, 2002 .

Variational multiframe restoration of images degraded by noisy (stochastic) blur kernels

Luminita A. Vese, Antonio Marquina, Miyoun Jung, 2013, J. Comput. Appl. Math..

A Hybrid Architecture for Compressive Sensing 3-D CT Reconstruction

Jason Cong, Ming Yan, Jianwen Chen, 2012, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

Active Contours without Edges for Vector-Valued Images

Tony F. Chan, Luminita A. Vese, B. Yezrielev Sandberg, 2000, J. Vis. Commun. Image Represent..

Simultaneous structure and texture image inpainting

Guillermo Sapiro, Stanley Osher, Marcelo Bertalmío, 2003, IEEE Trans. Image Process..

(Φ,Φ*) Image Decomposition Models and Minimization Algorithms

Luminita A. Vese, Triet M. Le, Linh H. Lieu, 2009, Journal of Mathematical Imaging and Vision.

Variational Dynamics of Free Triple Junctions

Hayden Schaeffer, Luminita A. Vese, L. Vese, 2014, J. Sci. Comput..

Variational Image Registration Models

Luminita A. Vese, Carole Le Guyader, 2015 .

A Technique for Lung Nodule Candidate Detection in CT Using Global Minimization Methods

Edward Jones, Alex A. T. Bui, Martin Glavin, 2015, EMMCVPR.

Fast Cartoon + Texture Image Filters

Jean-Michel Morel, Antoni Buades, Luminita A. Vese, 2010, IEEE Transactions on Image Processing.

Segmentation under geometrical conditions using geodesic active contours and interpolation using level set methods

Luminita A. Vese, Christian Gout, Carole Le Guyader, 2005, Numerical Algorithms.

Multiphase Segmentation of Deformation using Logarithmic Priors

Paul M. Thompson, Alex D. Leow, Stanley Osher, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Gene Expression Data to Mouse Atlas Registration Using a Nonlinear Elasticity Smoother and Landmark Points Constraints

Paul M. Thompson, Arthur W. Toga, Ivo D. Dinov, 2012, J. Sci. Comput..

New framework for object warping: semi-Lagrangian level set approach

Stanley Osher, Marvin Bergsneider, Luminita A. Vese, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Modeling Textures with Total Variation Minimization and Oscillating Patterns in Image Processing

Stanley Osher, Luminita A. Vese, S. Osher, 2003, J. Sci. Comput..

Linear and non-linear geometric object matching with implicit representation

Paul M. Thompson, Alex D. Leow, Ming-Chang Chiang, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

A Combined Segmentation and Registration Framework with a Nonlinear Elasticity Smoother

Luminita A. Vese, Carole Le Guyader, 2009, SSVM.

A combined segmentation and registration framework with a nonlinear elasticity smoother

Luminita A. Vese, Carole Le Guyader, L. Vese, 2009, Comput. Vis. Image Underst..

An image decomposition model using the total variation and the infinity Laplacian

Luminita A. Vese, Christopher Elion, L. Vese, 2007, Electronic Imaging.

Segmentation using the edge strength function as a shape prior within a local deformation model

Erkut Erdem, Sibel Tari, Luminita A. Vese, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

The generation of tetrahedral mesh models for neuroanatomical MRI

Arthur W. Toga, Ivo D. Dinov, John D. Van Horn, 2011, NeuroImage.

EM+TV for Reconstruction of Cone-beam CT with Curved Detectors using GPU

Jason Cong, Ming Yan, Alex A. T. Bui, 2011 .

Image segmentation using a multilayer level-set approach

Luminita A. Vese, Ginmo Chung, L. Vese, 2009 .

3D shape from anisotropic diffusion

Stefano Soatto, Stanley Osher, Luminita A. Vese, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Mumford and Shah Model and Its Applications to Image Segmentation and Image Restoration

Tony F. Chan, Luminita A. Vese, Nahum Kiryati, 2015, Handbook of Mathematical Methods in Imaging.

Variational Methods in Image Processing

Luminita A. Vese, Carole Le Guyader, L. Vese, 2015 .

Expectation maximization and total variation-based model for computed tomography reconstruction from undersampled data

Luminita A. Vese, Ming Yan, L. Vese, 2011, Medical Imaging.

A landmark-based nonlinear elasticity model for mouse atlas registration

Paul M. Thompson, Arthur W. Toga, Ivo D. Dinov, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Efficient Deconvolution and Super-Resolution Methods in Microwave Imagery

Luminita A. Vese, Bjorn Lambrigtsen, Igor Yanovsky, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A Multiphase Level Set Framework for Image Segmentation Using the Mumford and Shah Model

Tony F. Chan, Luminita A. Vese, L. Vese, 2002, International Journal of Computer Vision.

Tetrahedral mesh generation for medical images with multiple regions using active surfaces

Arthur W. Toga, Ivo D. Dinov, John D. Van Horn, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Multiframe image restoration in the presence of noisy blur kernel

Luminita A. Vese, Antonio Marquina, Miyoun Jung, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Image segmentation using level sets and the piecewise-constant Mumford-Shah model

Tony F. Chan, Luminita A. Vese, L. Vese, 2000 .

Nonlocal Variational Image Deblurring Models in the Presence of Gaussian or Impulse Noise

Luminita A. Vese, Miyoun Jung, L. Vese, 2009, SSVM.

Image Restoration Using One-Dimensional Sobolev Norm Profiles of Noise and Texture

Yunho Kim, Luminita A. Vese, John B. Garnett, 2014, SIAM J. Imaging Sci..

Guest Editorial: Shape Analysis Beyond the Eikonal Equation

Sibel Tari, Anand Rangarajan, Luminita A. Vese, 2016, Journal of Mathematical Imaging and Vision.

Platform characterization for Domain-Specific Computing

Jason Cong, Kwang-Ting Cheng, Alex A. T. Bui, 2012, 17th Asia and South Pacific Design Automation Conference.

ACTIVE CONTOUR and SEGMENTATION MODELS USING GEOMETRIC PDE's for MEDICAL IMAGING ?

Tony F. Chan, Luminita A. Vese, L. Vese, 2002 .

Nonlinear Elasticity Registration and Sobolev Gradients

Arthur W. Toga, Ivo D. Dinov, Luminita A. Vese, 2010, WBIR.

Self-Repelling Snakes for Topology-Preserving Segmentation Models

Luminita A. Vese, Carole Le Guyader, L. Vese, 2008, IEEE Transactions on Image Processing.

A Variational Model for the Restoration of MR Images Corrupted by Blur and Rician Noise

Pascal Getreuer, Luminita A. Vese, Melissa Tong, 2011, ISVC.

Color Image Restoration Using Nonlocal Mumford-Shah Regularizers

Xavier Bresson, Tony F. Chan, Luminita A. Vese, 2009, EMMCVPR.

Multiscale Registration

Luminita A. Vese, Carole Le Guyader, Noémie Debroux, 2021, SSVM.

Learning spatial response functions from large multi-sensor AIRS and MODIS datasets

Thomas S. Pagano, Hartmut H. Aumann, Evan M. Manning, 2021, Optical Engineering + Applications.

Airs Point Spread Function Reconstruction Using Airs and Modis Data

Thomas S. Pagano, Hartmut H. Aumann, Evan M. Manning, 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS.

Multiscale Hierarchical Image Decomposition and Refinements: Qualitative and Quantitative Results

Luminita A. Vese, Elena Resmerita, Wen Li, 2021, SIAM J. Imaging Sci..

Linear and non-linear geometric object matching with implicit representation

Paul M. Thompson, Alex D. Leow, Luminita A. Vese, 2004, ICPR 2004.

A PIECEWISE-CONSTANT BINARY MODEL FOR ELECTRICAL IMPEDANCE TOMOGRAPHY

Luminita A. Vese, Nicolay M. Tanushev, L. Vese, 2007 .

Modeling Oscillatory Components with The Homogeneous Spaces BM -α and W -α,p*

Luminita A. Vese, L. Vese, Peter W. Jones, 2011 .

A vectorial total variation model for denoising high angular resolution diffusion images corrupted by Rician noise

Christophe Lenglet, Paul M. Thompson, Bryon A. Mueller, 2014 .

BV and dual of BV image decomposition models and minimization algorithms

Luminita A. Vese, Linh H. Lieu, Triet M. Le, 2005 .

Additive & multiplicative piecewise-smooth segmentation models in a functional minimization approach

Luminita A. Vese, L. Vese, T. Le, 2006 .

MRI Tissue Segmentation Using a Variational Multilayer Approach

Arthur W. Toga, Ivo D. Dinov, Luminita A. Vese, 2010 .