Mila Nikolova - RankMe

81 papers B 1Misc 3Journal 45Unranked 30

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	A Characterization of Proximity Operators. J. Math. Imaging Vis. Rémi Gribonval, Mila Nikolova
2020	J	`jnl`	A two-stage method for spectral-spatial classification of hyperspectral images. J. Math. Imaging Vis. Raymond H. Chan, Kelvin K. Kan, Mila Nikolova, Robert J. Plemmons
2019	J	`jnl`	Alternating Structure-Adapted Proximal Gradient Descent for Nonconvex Nonsmooth Block-Regularized Problems. SIAM J. Optim. Mila Nikolova, Pauline Tan
2019	J	`jnl`	Fast Robust Dejitter and Interslice Discontinuity Removal in MRI Phase Acquisitions: Application to Magnetic Resonance Elastography. IEEE Trans. Medical Imaging Eric Barnhill, Mila Nikolova, Cemre Ariyurek, Florian Dittmann, Jürgen Braun, Ingolf Sack
2019	J	`jnl`	Inertial Alternating Generalized Forward-Backward Splitting for Image Colorization. J. Math. Imaging Vis. Pauline Tan, Fabien Pierre, Mila Nikolova
2019	J	`jnl`	Nonconvex Optimization for 3-Dimensional Point Source Localization Using a Rotating Point Spread Function. SIAM J. Imaging Sci. Chao Wang, Raymond H. Chan, Mila Nikolova, Robert J. Plemmons, Sudhakar Prasad
2018	J	`jnl`	A Convex Model for Edge-Histogram Specification with Applications to Edge-Preserving Smoothing. Axioms Kelvin C. K. Chan, Raymond H. Chan, Mila Nikolova
2018	J	`jnl`	Novel Sparse Recovery Algorithms for 3D Debris Localization using Rotating Point Spread Function Imagery. CoRR Chao Wang, Robert J. Plemmons, Sudhakar Prasad, Raymond H. Chan, Mila Nikolova
2017	J	`jnl`	A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics. SIAM J. Imaging Sci. Friederike Laus, Mila Nikolova, Johannes Persch, Gabriele Steidl
2017	J	`jnl`	A Three-Stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT). J. Sci. Comput. Xiaohao Cai, Raymond H. Chan, Mila Nikolova, Tieyong Zeng
2017	—	`conf`	Below the Surface of the Non-local Bayesian Image Denoising Method. SSVM Pablo Arias, Mila Nikolova
2017	J	`jnl`	Fast and Accurate Multiplicative Decomposition for Fringe Removal in Interferometric Images. IEEE Trans. Computational Imaging Daniel-Chen Soncco, Clara Barbanson, Mila Nikolova, Andrés Almansa, Yann Ferrec
2016	J	`jnl`	Guest Editorial: Scale-Space and Variational Methods. J. Math. Imaging Vis. Jean-François Aujol, Mila Nikolova, Nicolas Papadakis
2015	J	`jnl`	A Three-stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT). CoRR Xiaohao Cai, Raymond H. Chan, Mila Nikolova, Tieyong Zeng
2015	—	`conf`	A Variational Model for Color Assignment. SSVM Jan Henrik Fitschen, Mila Nikolova, Fabien Pierre, Gabriele Steidl
2015	—	`conf`	Bilevel Image Denoising Using Gaussianity Tests. SSVM Jérôme Fehrenbach, Mila Nikolova, Gabriele Steidl, Pierre Weiss
2015	—	`ch.`	Energy Minimization Methods. Handbook of Mathematical Methods in Imaging Mila Nikolova
2015	—	`ed.`	Scale Space and Variational Methods in Computer Vision - 5th International Conference, SSVM 2015, Lège-Cap Ferret, France, May 31 - June 4, 2015, Proceedings SSVM Jean-François Aujol, Mila Nikolova, Nicolas Papadakis
2014	J	`jnl`	Fast Hue and Range Preserving Histogram Specification: Theory and New Algorithms for Color Image Enhancement. IEEE Trans. Image Process. Mila Nikolova, Gabriele Steidl
2014	J	`jnl`	Fast Ordering Algorithm for Exact Histogram Specification. IEEE Trans. Image Process. Mila Nikolova, Gabriele Steidl
2014	J	`jnl`	Fully Smoothed ℓ 1-TV Models: Bounds for the Minimizers and Parameter Choice. J. Math. Imaging Vis. F. Baus, Mila Nikolova, Gabriele Steidl
2013	—	`conf`	A Fast Algorithm for Exact Histogram Specification. Simple Extension to Colour Images. SSVM Mila Nikolova
2013	J	`jnl`	Description of the Minimizers of Least Squares Regularized with 퓁 SIAM J. Imaging Sci. Mila Nikolova
2013	J	`jnl`	Exact Histogram Specification for Digital Images Using a Variational Approach. J. Math. Imaging Vis. Mila Nikolova, You-Wei Wen, Raymond H. Chan
2013	J	`jnl`	On 퓁 SIAM J. Sci. Comput. Mila Nikolova, Michael K. Ng, Chi-Pan Tam
2011	—	`conf`	A Variational Approach for Exact Histogram Specification. SSVM Raymond H. Chan, Mila Nikolova, You-Wei Wen
2011	—	`conf`	Either Fit to Data Entries or Locally to Prior: The Minimizers of Objectives with Nonsmooth Nonconvex Data Fidelity and Regularization. SSVM Mila Nikolova
2011	—	`conf`	Should We Search for a Global Minimizer of Least Squares Regularized with an ℓ0 Penalty to Get the Exact Solution of an under Determined Linear System? SSVM Mila Nikolova
2010	J	`jnl`	Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction. IEEE Trans. Image Process. Mila Nikolova, Michael K. Ng, Chi-Pan Tam
2010	J	`jnl`	Fast Two-Phase Image Deblurring Under Impulse Noise. J. Math. Imaging Vis. Jian-Feng Cai, Raymond H. Chan, Mila Nikolova
2010	J	`jnl`	Multiplicative Noise Removal Using L1 Fidelity on Frame Coefficients. J. Math. Imaging Vis. Sylvain Durand, Jalal Fadili, Mila Nikolova
2009	—	`conf`	Fast Dejittering for Digital Video Frames. SSVM Mila Nikolova
2009	—	`conf`	Multiplicative Noise Cleaning via a Variational Method Involving Curvelet Coefficients. SSVM Sylvain Durand, Jalal Fadili, Mila Nikolova
2009	J	`jnl`	One-iteration dejittering of digital video images. J. Vis. Commun. Image Represent. Mila Nikolova
2009	J	`jnl`	Semi-explicit Solution and Fast Minimization Scheme for an Energy with J. Math. Imaging Vis. Mila Nikolova
2008	J	`jnl`	Efficient Reconstruction of Piecewise Constant Images Using Nonsmooth Nonconvex Minimization. SIAM J. Imaging Sci. Mila Nikolova, Michael K. Ng, Shuqin Zhang, Wai-Ki Ching
2007	—	`conf`	Bounds on the Minimizers of (nonconvex) Regularized Least-Squares. SSVM Mila Nikolova
2007	—	`conf`	Counter-Examples for Bayesian MAP Restoration. SSVM Mila Nikolova
2007	J	`jnl`	Denoising of Frame Coefficients Using ℓ Multiscale Model. Simul. Sylvain Durand, Mila Nikolova
2007	J	`jnl`	The Equivalence of Half-Quadratic Minimization and the Gradient Linearization Iteration. IEEE Trans. Image Process. Mila Nikolova, Raymond H. Chan
2006	J	`jnl`	Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models. SIAM J. Appl. Math. Tony F. Chan, Selim Esedoglu, Mila Nikolova
2006	J	`jnl`	Blind identification/equalization using deterministic maximum likelihood and a partial prior on the input. IEEE Trans. Signal Process. Florence Alberge, Mila Nikolova, Pierre Duhamel
2006	J	`jnl`	Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms for Image Restoration. SIAM J. Sci. Comput. Haoying Fu, Michael K. Ng, Mila Nikolova, Jesse L. Barlow
2005	J	`jnl`	Analysis of Half-Quadratic Minimization Methods for Signal and Image Recovery. SIAM J. Sci. Comput. Mila Nikolova, Michael K. Ng
2005	J	`jnl`	Analysis of the Recovery of Edges in Images and Signals by Minimizing Nonconvex Regularized Least-Squares. Multiscale Model. Simul. Mila Nikolova
2005	—	`conf`	Fast Algorithms for l1 Norm/Mixed l1 and l2 Norms for Image Restoration. ICCSA (4) Haoying Fu, Michael K. Ng, Mila Nikolova, Jesse L. Barlow, Wai-Ki Ching
2005	—	`conf`	Finding the global minimum for binary image restoration. ICIP (1) Tony F. Chan, Selim Esedoglu, Mila Nikolova
2005	—	`conf`	Minimization of detail-preserving regularization functional by Newton's method with continuation. ICIP (1) Raymond H. Chan, Chung-Wa Ho, Chun-Yee Leung, Mila Nikolova
2005	—	`conf`	Restoration of edges by minimizing non-convex cost-functions. ICIP (2) Mila Nikolova
2005	J	`jnl`	Salt-and-Pepper Noise Removal by Median-Type Noise Detectors and Detail-Preserving Regularization. IEEE Trans. Image Process. Raymond H. Chan, Chung-Wa Ho, Mila Nikolova
2004	J	`jnl`	A Variational Approach to Remove Outliers and Impulse Noise. J. Math. Imaging Vis. Mila Nikolova
2004	J	`jnl`	An iterative procedure for removing random-valued impulse noise. IEEE Signal Process. Lett. Raymond H. Chan, Chen Hu, Mila Nikolova
2004	J	`jnl`	Modeling anisotropic undersampling of magnetic resonance angiographies and reconstruction of a high-resolution isotropic volume using half-quadratic regularization techniques. Signal Process. Elodie Roullot, Alain Herment, Isabelle Bloch, Alain De Cesare, Mila Nikolova, Élie Mousseaux
2004	J	`jnl`	The use of super-resolution techniques to reduce slice thickness in functional MRI. Int. J. Imaging Syst. Technol. Ronald R. Peeters, Pierre Kornprobst, Mila Nikolova, Stefan Sunaert, Thierry Viéville, Grégoire Malandain, Rachid Deriche, Olivier D. Faugeras, Michael K. P. Ng, Paul Van Hecke
2004	J	`jnl`	Weakly Constrained Minimization: Application to the Estimation of Images and Signals Involving Constant Regions. J. Math. Imaging Vis. Mila Nikolova
2003	—	`conf`	A Superresolution Framework for fMRI Sequences and Its Impact on Resulting Activation Maps. MICCAI (2) Pierre Kornprobst, Ronald R. Peeters, Mila Nikolova, Rachid Deriche, Michael Kwok-Po Ng, Paul Van Hecke
2003	—	`conf`	Efficient removing of impulsive noise based on an l ICIP (1) Mila Nikolova
2003	—	`conf`	Half-quadratic regularization for MRI image restoration. ICASSP (6) Rachid Deriche, Pierre Kornprobst, Mila Nikolova
2003	—	`conf`	Minimization of Cost-Functions with Non-smooth Data-Fidelity Terms to Clean Impulsive Noise. EMMCVPR Mila Nikolova
2002	J	`jnl`	Adaptive solution for blind identification/equalization using deterministic maximum likelihood. IEEE Trans. Signal Process. Florence Alberge, Pierre Duhamel, Mila Nikolova
2002	—	`conf`	Comparison of the main forms of half-quadratic regularization. ICIP (1) Michael K. Ng, Mila Nikolova
2002	J	`jnl`	Minimizers of Cost-Functions Involving Nonsmooth Data-Fidelity Terms. Application to the Processing of Outliers. SIAM J. Numer. Anal. Mila Nikolova
2001	—	`conf`	Fast image reconstruction algorithms combining half-quadratic regularization and preconditioning. ICIP (1) Mila Nikolova, Michael K. Ng
2001	—	`conf`	Smoothing of outliers in image restoration by minimizing regularized objective functions with nonsmooth data-fidelity terms. ICIP (1) Mila Nikolova
2000	Misc	`conf`	Adaptive deterministic maximum likelihood using a quasi-discrete prior. ICASSP Florence Alberge, Mila Nikolova, Pierre Duhamel
2000	Misc	`conf`	Assumed and effective priors in Bayesian MAP estimation. ICASSP Mila Nikolova
2000	J	`jnl`	Local Strong Homogeneity of a Regularized Estimator. SIAM J. Appl. Math. Mila Nikolova
2000	—	`conf`	Low cost adaptive algorithm for blind channel identification and symbol estimation. EUSIPCO Florence Alberge, Pierre Duhamel, Mila Nikolova
2000	B	`conf`	Regularized Reconstruction of 3D High-Resolution Magnetic Resonance Images from Acquisitions of Anisotropically Degraded Resolutions. ICPR Elodie Roullot, Alain Herment, Isabelle Bloch, Mila Nikolova, Élie Mousseaux
2000	J	`jnl`	Thresholding implied by truncated quadratic regularization. IEEE Trans. Signal Process. Mila Nikolova
1999	—	`conf`	Error Indicators for Adaptive Refinement of Singularly Perturbed Convection-Diffusion Problems. LSSC Mila Nikolova
1999	—	`conf`	Locally Homogeneous Images As Minimizers of Objective Functions. ICIP (2) Mila Nikolova
1999	J	`jnl`	Markovian reconstruction using a GNC approach. IEEE Trans. Image Process. Mila Nikolova
1998	—	`conf`	Estimation of Binary Images by Minimizing Convex Criteria. ICIP (2) Mila Nikolova
1998	J	`jnl`	Inversion of large-support ill-posed linear operators using a piecewise Gaussian MRF. IEEE Trans. Image Process. Mila Nikolova, Jérôme Idier, Ali Mohammad-Djafari
1998	—	`conf`	Reconstruction of locally homogeneous images. EUSIPCO Mila Nikolova
1996	J	`jnl`	Eddy current tomography using a binary Markov model. Signal Process. Mila Nikolova, Ali Mohammad-Djafari
1996	—	`conf`	Regularisation functions and estimators. ICIP (2) Mila Nikolova
1995	Misc	`conf`	Parameter selection for a Markovian signal reconstruction with edge detection. ICASSP Mila Nikolova
1994	—	`conf`	Inversion of large-support ill-conditioned linear operators using a Markov model with a line process. ICASSP (5) Mila Nikolova, Ali Mohammad-Djafari, Jérôme Idier
1994	—	`conf`	Markovian Reconstruction in Computed Imaging and Fourier Synthesis. ICIP (2) Mila Nikolova