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Research Output 2010 2019

2019

Revisiting Maximum-A-Posteriori Estimation in Log-Concave Models

Pereyra, M., 28 Mar 2019, In : SIAM Journal on Imaging Sciences . 12, 1, p. 650-670 21 p.

Research output: Contribution to journalArticle

Open Access
File
Log-concave
Maximum a Posteriori
Maximum a Posteriori Estimation
Bayesian Model
Mean Squared Error
Open Access
File
Convex optimization
Inverse problems
Imaging techniques
Decision theory
Astronomy

Uncertainty Quantification in Astro-Imaging by Optimisation

Repetti, A., Pereyra, M. A. & Wiaux, Y., Feb 2019. 1 p.

Research output: Contribution to conferencePaper

Open Access
File
Imaging techniques
Medical imaging
Inverse problems
Uncertainty
2018

Bayesian Restoration of high-dimensional photon-starved images

Tachella, J., Altmann, Y., Pereyra, M., McLaughlin, S. & Tourneret, J-Y., 3 Dec 2018, 2018 26th European Signal Processing Conference (EUSIPCO). IEEE, p. 747-751 5 p. (European Signal Processing Conference (EUSIPCO)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Restoration
Photons
Image reconstruction
Experiments
Imaging techniques

Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau

Durmus, A., Moulines, E. & Pereyra, M., 13 Feb 2018, In : SIAM Journal on Imaging Sciences . 11, 1, p. 473-506 34 p.

Research output: Contribution to journalArticle

Open Access
File
Markov processes
Imaging techniques
Convex optimization
Deconvolution
Monte Carlo methods

Fast statistical model-based classification of epileptic EEG signals

Quintero-Rincón, A., Pereyra, M., D'Giano, C., Risk, M. & Batatia, H., 2018, In : Biocybernetics and Biomedical Engineering. 38, 4, p. 877-889 13 p.

Research output: Contribution to journalArticle

Open Access
File
Electroencephalography
Brain
Pediatrics
Filter banks
Neurology

Maximum likelihood estimation of regularisation parameters

Fernandez Vidal, A. & Pereyra, M., 6 Sep 2018, 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE, p. 1742-1746 5 p. (IEEE International Conference on Image Processing (ICIP)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Regularization Parameter
Maximum Likelihood Estimation
Inverse Problem
Proximal Algorithm
Marginal Maximum Likelihood

Uncertainty quantification for radio interferometric imaging: I. proximal MCMC methods

Cai, X., Pereyra, M. A. & McEwen, J. D., 27 Jul 2018, In : Monthly Notices of the Royal Astronomical Society. 480, 3, p. 4154–4169 16 p.

Research output: Contribution to journalArticle

Open Access
File
Markov chain
radio
pixel
sampling
hypothesis testing

Uncertainty quantification for radio interferometric imaging: II. MAP estimation

Cai, X., Pereyra, M. A. & McEwen, J. D., Nov 2018, In : Monthly Notices of the Royal Astronomical Society. 480, 3, p. 4170–4182 13 p.

Research output: Contribution to journalArticle

Open Access
File
Imaging techniques
Markov processes
Sampling
Radio astronomy
Convex optimization

Uncertainty Quantification in Imaging: When Convex Optimization Meets Bayesian Analysis

Repetti, A., Pereyra, M. A. & Wiaux, Y., 18 May 2018, (Accepted/In press) EUSIPCO 2018. IEEE, 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Convex optimization
Imaging techniques
Inverse problems
Geometry
Uncertainty
2017
Open Access
File
Image segmentation
Potts model
Asymptotic analysis
Parallel processing systems

Linear spectral unmixing using collaborative sparse regression and correlated supports

Altmann, Y., Pereyra, M. & Dias, J. B., 23 Oct 2017, 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 8075438. (Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pixels
Markov processes

Maximum-a-posteriori estimation with Bayesian confidence regions

Pereyra, M., 2 Mar 2017, In : SIAM Journal on Imaging Sciences . 10, 1, p. 285-302 18 p.

Research output: Contribution to journalArticle

Open Access
Maximum a Posteriori Estimation
Confidence Region
Uncertainty
Inverse Problem
High-dimensional

Stroke onset time determination using MRI relaxation times without non-ischaemic reference in a rat stroke model

Norton, T., Pereyra, M. A., Knight, M. J., Mcgarry, B. M., Jokivarsi, K. T., Grohn, O. H. J. & Kauppinen, R. A., 20 Jun 2017, In : Biomedical Spectroscopy and Imaging. 6, 1-2, p. 25-35 11 p.

Research output: Contribution to journalArticle

Open Access
File
Stroke
Magnetic Resonance Imaging
Proxy
Hospital Emergency Service
Brain
2016

A new algorithm for epilepsy seizure onset detection and spread estimation from EEG signals

Quintero-Rincón, A., Pereyra, M., D’Giano, C., Batatia, H. & Risk, M., Apr 2016, In : Journal of Physics: Conference Series. 705, conference 1, 012032.

Research output: Contribution to journalArticle

Open Access
File
Electroencephalography
Brain
Wavelet decomposition
Public health
Neurons

Approximating Bayesian confidence regions in convex inverse problems

Pereyra, M., Jun 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP). p. 1-5 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Comparing Bayesian models in the absence of ground truth

Pereyra, M. & McLaughlin, S., 1 Dec 2016, 2016 24th European Signal Processing Conference (EUSIPCO). IEEE, p. 528-532 5 p. (European Signal Processing Conference (EUSIPCO)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Signal processing
Image resolution
Markov processes
Experiments
Statistical Models

Introduction to the Issue on Stochastic Simulation and Optimization in Signal Processing

McLaughlin, S. (ed.), Pereyra, M. (ed.), Hero, A. O. (ed.), Tourneret, J-Y. (ed.) & Pesquet, J-C. (ed.), Feb 2016, In : IEEE Journal of Selected Topics in Signal Processing. 10, 2, p. 221-223 3 p.

Research output: Contribution to journalEditorial

Multivariate Bayesian classification of epilepsy EEG signals

Quintero-Rincón, A., Prendes, J., Pereyra, M., Batatia, H. & Risk, M., 4 Aug 2016, 2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP). IEEE, 7528180

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electroencephalography
Brain
Pediatrics
Biomedical engineering
Wavelet decomposition

Proximal Markov chain Monte Carlo algorithms

Pereyra, M., Jul 2016, In : Statistics and Computing. 26, 4, p. 745-760 16 p.

Research output: Contribution to journalArticle

Open Access
File
Markov processes
Learning systems
Image processing
Convex optimization
Image resolution
2015

A survey of stochastic simulation and optimization methods in signal processing

Pereyra, M., Schniter, P., Chouzenoux, E., Pesquet, J-C., Tourneret, J-Y., Hero, A. & McLaughlin, S., 2 Nov 2015, In : IEEE Journal of Selected Topics in Signal Processing. 10, 2, p. 224-241 18 p.

Research output: Contribution to journalArticle

Open Access
File
Signal processing
Markov processes
Message passing
Image processing
Monte Carlo methods

Bayesian computation: A summary of the current state, and samples backwards and forwards

Green, P. J., Łatuszynski, K., Pereyra, M. & Robert, C., Jul 2015, In : Statistics and Computing. 25, 4, p. 835-862 28 p.

Research output: Contribution to journalArticle

Open Access
File
Hamiltonians
Innovation
Statistical Models
File
Markov chain
reflectance
pixel
analysis
methodology

Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing

Altmann, Y., Pereyra, M. & Bioucas-Dias, J., Dec 2015, In : IEEE Transactions on Image Processing. 24, 12, p. 5800-5811 12 p.

Research output: Contribution to journalArticle

Open Access
File
pixel
Markov chain
methodology
material
experiment

Exploiting information geometry to improve the convergence of nonparametric active contours

Pereyra, M., Batatia, H. & McLaughlin, S., Mar 2015, In : IEEE Transactions on Image Processing. 24, 3, p. 836-845 10 p., 6990574.

Research output: Contribution to journalArticle

Open Access
File
Geometry
Steepest descent method
Positron emission tomography
Image segmentation
Tensors

Maximum-a-posteriori estimation with unknown regularisation parameters

Pereyra, M., Bioucas-Dias, J. M. & Figueiredo, M. A. T., Dec 2015, 2015 23rd European Signal Processing Conference (EUSIPCO). p. 230-234 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nonlinear spectral unmixing using residual component analysis and a Gamma Markov random field

Altmann, Y., Pereyra, M. & McLaughlin, S., 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). IEEE, p. 165-168 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Spectral Unmixing
Hyperspectral Image
Random Field
Hierarchical Bayesian Model
Markov Chain Monte Carlo Algorithms
2014

Computing the Cramer-Rao Bound of Markov Random Field Parameters: Application to the Ising and the Potts Models

Pereyra, M., Dobigeon, N., Batatia, H. & Tourneret, J-Y., Jan 2014, In : IEEE Signal Processing Letters. 21, 1, p. 47-50 4 p.

Research output: Contribution to journalArticle

Discussion on the Paper by Byrne and Girolami

Pereyra, M., Mar 2014, In : Scandinavian Journal of Statistics. 41, 1, p. 12-13 2 p.

Research output: Contribution to journalArticle

Maximum marginal likelihood estimation of the granularity coefficient of a Potts-Markov random field within an MCMC algorithm

Pereyra, M. A., Whiteley, N., Andrieu, C. & Tourneret, J-Y., 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP). p. 121-124 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Small-variance asymptotics of hidden Potts-MRFS: Application to fast Bayesian image segmentation

Pereyra, M. & McLaughlin, S., 1 Jan 2014, European Signal Processing Conference. EURASIP, p. 1597-1601 5 p. 6952579

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Image segmentation
Potts model
Asymptotic analysis
Convex optimization
2013

Estimating the Granularity Coefficient of a Potts-Markov Random Field within a Markov Chain Monte Carlo Algorithm

Pereyra, M., Dobigeon, N., Batatia, H. & Tourneret, J-Y., Jun 2013, In : IEEE Transactions on Image Processing. 22, 6, p. 2385-2397 13 p.

Research output: Contribution to journalArticle

Exploiting information geometry to improve the convergence of nonparametric active contours

Pereyra, M., Batatia, H. & McLaughlin, S., Dec 2013, 2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). p. 165-168 4 p. 6714033

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Geometry
Fisher information matrix
Image segmentation
Ultrasonics
Experiments
Image segmentation
Geometry
Fisher information matrix
MATLAB
Experiments
2012

Segmentation of skin lesions in 2-D and 3-D ultrasound images using a spatially coherent generalized Rayleigh mixture model

Pereyra, M. A., Dobigeon, N., Batatia, H. & Tourneret, J-Y., Aug 2012, In : IEEE Transactions on Medical Imaging. 31, 8, p. 1509-1520 12 p.

Research output: Contribution to journalArticle

Un modèle Bayésien de mélange de lois Poisson-Gamma pour segmenter des images TEP

Irace, Z., Pereyra, M., Dobigeon, N. & Batatia, H., Jan 2012. 6 p.

Research output: Contribution to conferencePaper

2011

A levy flight model for ultrasound in skin tissues

Pereyra, M. A. & Batatia, H., 30 Jun 2011, 2010 IEEE Ultrasonics Symposium (IUS). IEEE, p. 2327-2331 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Skin
Ultrasonics
Tissue
Statistics
Random processes

Bayesian segmentation of chest tumors in pet scans using a Poisson-Gamma mixture model

Irace, Z., Pereyra, M. A., Dobigeon, N. & Batatia, H., 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP). p. 809-812 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labeling skin tissues in ultrasound images using a generalized Rayleigh mixture model

Pereyra, M. A., Dobigeon, N., Batatia, H. & Tourneret, J-Y., 1 May 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). p. 729-732 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Segmentation of ultrasound images using a spatially coherent generalized Rayleigh mixture model

Pereyra, M. A., Dobigeon, N., Batatia, H. & Tourneret, J-Y., 2011, 2011 19th European Signal Processing Conference. p. 664-668 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2010

An alpha-stable model for ultrasound speckle statistics in skin

Pereyra, M. A. & Batatia, H., 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. p. 4715-4718 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution