Hacheme AYASSO
Maître de conférences UGA
Equipe Communication and Information in Complex Systems
Département Images et Signal
ME CONTACTER / CONTACT ME
Mail : hacheme.ayasso@gipsa-lab.grenoble-inp.fr

11 rue des mathématiques
Domaine Universitaire
BP 46
38402 Saint Martin d'Hères cedex

Bureau D1197
Tél.33 (0)4 76 82 71 04
Fax : 33 (0)4 76 57 47 90
PUBLICATIONS RECENTES / RECENT PUBLICATIONS
Les derniéres publications de la collection Gipsa dans HAL

A Bayesian Approach for Anti-Scatter Grid Extraction in x-ray Imaging

Florian Cotte, Michel Desvignes, H Ayasso, Michel Vignolle. A Bayesian Approach for Anti-Scatter Grid Extraction in x-ray Imaging. 25th IEEE International Conference on Image Processing (ICIP 2018), Oct 2018, Athenes, Greece. 〈hal-01982466〉

AMICal Sat and ATISE: two space missions for auroral monitoring

Mathieu Barthélemy, Vladimir Kalegaev, Anne Vialatte, Etienne Le Coarer, Erik Kerstel, et al.. AMICal Sat and ATISE: two space missions for auroral monitoring. Journal of Space Weather and Space Climate, EDP sciences, 2018, 8, pp.A44. 〈10.1051/swsc/2018035 〉. 〈insu-01900254〉

Nonlinear microwave imaging for breast-cancer using a variational Bayesian algorithm

Leila Gharsalli, Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. Nonlinear microwave imaging for breast-cancer using a variational Bayesian algorithm. SIAM Conference on the Life Sciences, Jul 2016, Boston, United States. pp.PP1, 〈http://www.siam.org/meetings/ls16/〉. 〈hal-01459711〉

SELFI: an object-based, Bayesian method for faint emission line source detection in MUSE deep field data cubes

Céline Meillier, Florent Chatelain, Olivier Michel, Roland Bacon, Laure Piqueras, et al.. SELFI: an object-based, Bayesian method for faint emission line source detection in MUSE deep field data cubes. Astronomy and Astrophysics - A&A, EDP Sciences, 2016, 588, pp.A140. 〈10.1051/0004-6361/201527724〉. 〈hal-01322356〉

PSF homogenization for multi-band photometry from space on extended objects

A. Boucaud, H. Dole, A. Abergel, H Ayasso, F. Orieux. PSF homogenization for multi-band photometry from space on extended objects. EAS Publications Series, EDP Sciences, 2016, 78-79, pp.275-285. 〈hal-01982482〉

Contrôle des erreurs pour la détection d'événements rares et faibles dans des champs de données massifs

Céline Meillier, Florent Chatelain, Olivier Michel, Hacheme Ayasso. Contrôle des erreurs pour la détection d'événements rares et faibles dans des champs de données massifs. XXVème colloque GRETSI (GRETSI 2015), Sep 2015, Lyon, France. 2015 - GRETSI - Actes de Colloque. 〈hal-01198721〉

Error control for the detection of rare and weak signatures in massive data

Céline Meillier, Florent Chatelain, Olivier Michel, Hacheme Ayasso. Error control for the detection of rare and weak signatures in massive data. 23rd European Signal Processing Conference (EUSIPCO-2015), Aug 2015, Nice, France. 2015. 〈hal-01198717〉

Variational Bayesian Approach and Bi-Model for the Reconstruction-Separation of Astrophysics Components

Thomas Rodet, Aurélia Fraysse, H Ayasso. Variational Bayesian Approach and Bi-Model for the Reconstruction-Separation of Astrophysics Components. Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing, John Wiley & Sons, Inc., pp.225-249, 2015. 〈hal-01982489〉

MCMC and variational approaches for Bayesian inversion in diffraction imaging

Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. MCMC and variational approaches for Bayesian inversion in diffraction imaging . J.-F. Giovannelli, J. Idier. Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing, Wiley-ISTE, pp.201-224, 2015, Digital signal and image processing series, 978-1-84821-637-2. 〈hal-01262038〉

Nonparametric Bayesian extraction of object configurations in massive data

Céline Meillier, Florent Chatelain, Olivier Michel, Hacheme Ayasso. Nonparametric Bayesian extraction of object configurations in massive data. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2015, 63 (8), pp.1911-1924. 〈10.1109/TSP.2015.2403268〉. 〈hal-01129038〉

ENCADREMENT DE THESES / PhD THESIS SUPERVISED

Grenoble Images Parole Signal Automatique laboratoire

UMR 5216 CNRS - Grenoble INP - Université Joseph Fourier - Université Stendhal