20102020

Research output per year

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Research Output

2020

Sparse Bayesian mass mapping with uncertainties: Local credible intervals

Price, M. A., Cai, X., McEwen, J. D., Pereyra, M. & Kitching, T. D., Feb 2020, In : Monthly Notices of the Royal Astronomical Society. 492, 1, p. 394-404 11 p.

Research output: Contribution to journalArticle

Open Access
File
2019

Quantifying uncertainty in high dimensional inverse problems by convex optimisation

Cai, X., Pereyra, M. & McEwen, J. D., 18 Nov 2019, 2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 8903038. (European Signal Processing Conference).

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

Open Access
File
13 Downloads (Pure)

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
23 Downloads (Pure)
Open Access
File
21 Downloads (Pure)

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
29 Downloads (Pure)
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
57 Downloads (Pure)

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
92 Downloads (Pure)

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

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
89 Downloads (Pure)

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
12 Downloads (Pure)

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
14 Downloads (Pure)

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
4 Downloads (Pure)
2017
Open Access
File
48 Downloads (Pure)

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

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

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
9 Downloads (Pure)
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
49 Downloads (Pure)

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

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

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
18 Downloads (Pure)
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
131 Downloads (Pure)

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
12 Downloads (Pure)
File
20 Downloads (Pure)

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
49 Downloads (Pure)

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
274 Downloads (Pure)

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

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

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

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

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