Nombre de documents

37

CV de Hacheme Ayasso


Communication dans un congrès22 documents

  • 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>
  • Leila Gharsalli, Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. A Gauss-Markov mixture prior model for a variational Bayesian approach to microwave breast imaging. CAMA 2014, Nov 2014, Juan-les-Pins, France. Proceedings of the IEEE International Conference on Antenna Measurements and Applications, pp.ID SP13.4, 2014. <hal-01103674>
  • Leila Gharsalli, Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. Variational Bayesian inversion for microwave imaging applied to breast cancer detection. 8th International Conference on Inverse Problems in Engineering - ICIPE 2014, May 2014, Cracovie, Poland. Proceedings of the 8th International Conference on Inverse Problems in Engineering, pp.ID 5-2, 2014. <hal-01103636>
  • Florian Aulanier, Hacheme Ayasso, Barbara Nicolas, Philippe Roux, Jerome Mars. Sound-speed tomography using angle sensitivity-kernels in an ultrasonic waveguide. 2nd international conference and exhibition on Underwater Acoustic (UA2014), Jun 2014, Rhodes, Greece. <hal-01060140>
  • Leila Gharsalli, Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. Approche bayésienne variationnelle en tomographie micro-onde appliquée à la détection du cancer du sein. XXIVème colloque GRETSI (GRETSI 2013), Sep 2013, Brest, France. ID411, 4 p., 2013. <hal-00854796>
  • Hacheme Ayasso. SUPREME: a high-resolution mapmaker. Herschel PACS and SPIRE Map-Making Workshop, Jan 2013, Madrid, Spain. <hal-00985267>
  • Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. A variational Bayesian approach for frequency diverse non-linear microwave imaging. ICIP 2012, Sep 2012, Orlando, United States. pp.2069-2073, 2012. <hal-00742882>
  • Hacheme Ayasso, Thomas Rodet, A. Abergel. A gradient-like variational Bayesian approach for unsupervised extended emission map-making from SPIRE/Herschel data. Astronomical Data Analysis, May 2012, Cargese, France. <hal-00956623>
  • Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. Bayesian estimation with Gauss-Markov-Potts priors in optical diffraction tomography. SPIE Computational Imaging IX, Jan 2011, San Francisco, United States. pp9 - ID:78730U, 2011, <10.1117/12.872317>. <hal-01002340>
  • Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. A variational Bayesian approach of inversion in optical diffraction tomography. 11th Workshop on Optimization and Inverse Problems in Electromagnetism (OIPE 2010), Sep 2010, Sofia, Bulgaria. pp.11-12, 2010. <hal-00551747>
  • Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. Approche bayésienne de l'inversion en imagerie micro-onde 3D. Les Journées d'Imagerie Optique Non-Conventionnelle, 2010, Paris, France. <hal-00551753>
  • Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. Une approche bayésienne en tomographie micro-onde 3D. Réunion inter-GdR Ondes-ISIS, Extraction d'information et physique des images : 5e Journée d'Imagerie Optique Non−Conventionnelle, Mar 2010, Paris, France. <hal-00442200>
  • Ali Mohammad-Djafari, Hacheme Ayasso. Variational Bayes and Mean Field Approximations for Markov Field Unsupervised Estimation. IEEE International Workshop on Machine Learning for Signal Processing., Sep 2009, Grenoble, France. pp.1-6, 2009, <10.1109/MLSP.2009.5306261>. <hal-00445310>
  • Hacheme Ayasso, Sofia Fekih-Salem, Ali Mohammad-Djafari. Approche variationnelle bayésienne pour la reconstruction tomographique. XXIIe Colloque GRETSI - Traitement du Signal et des Images, Sep 2009, Dijon, France. ID465, 4 p., 2009. <hal-00445706>
  • Hacheme Ayasso, Ali Mohammad-Djafari. Joint Image Restoration and Segmentation using Gauss-Markov-Potts Prior Models and Variational Bayesian Computation. the 15th IEEE International Conference on Image Processing, (ICIP), Nov 2009, Cairo, Egypt. pp.1297--1300, 2009. <hal-00444694>
  • Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. Une approche bayésienne de l'inversion en tomographie optique par diffraction. Interférences d'Ondes, Assemblée Générale du GDR Ondes, Nov 2009, Paris, France. <hal-00442197>
  • Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. Imagerie micro−onde et application à la détection d'objets enfouis. Colloque Alain Bouyssy, Feb 2009, Orsay, France. <hal-00442211>
  • Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. Approche bayésienne variationnelle en reconstruction d'image en tomographie. Journées Problèmes Inverses (GDR Isis), Mar 2009, Paris, France. <hal-00442208>
  • Hacheme Ayasso, Sofia Fekih-Salem, Ali Mohammad-Djafari. Variational Bayes Approach For Tomographic Reconstruction. the 28th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt, Jul 2008, Sao Paulo, Brazil. 1073, pp.243--251, 2008, <10.1063/1.3039006>. <hal-00446713>
  • Hacheme Ayasso, Ali Mohammad-Djafari. Variational Bayes with Gauss-Markov-Potts Prior Models for Joint Image Restoration and Segmentation.. The International Conference on Computer Vision Theory and Applications (VISAPP), Jan 2008, Funchal, Madeira, Portugal. pp.571-576, 2008. <hal-00447517>
  • Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. A Bayesian approach to microwave imaging in a 3-D configuration. The 10th Workshop on Optimization and Inverse Problems in Electromagnetism, Sep 2008, Ilmenau, Germany. pp.180, 2008. <hal-00444385>
  • Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. Une approche bayésienne de l'inversion en imagerie micro-onde 3D. Les Journées d'Imagerie Optique Non−Conventionnelle (GDR Ondes & GDR Isis), Mar 2008, Paris, France. <hal-00444713>

Article dans une revue8 documents

  • 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>
  • Leila Gharsalli, Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. Inverse scattering in a Bayesian framework: application to microwave imaging for breast cancer detection. Inverse Problems, IOP Publishing, 2014, 30 (11), pp.114011. <http://iopscience.iop.org/0266-5611/30/11/114011/pdf/0266-5611_30_11_114011.pdf>. <10.1088/0266-5611/30/11/114011>. <hal-01103456>
  • François Orieux, Jean-François Giovannelli, Thomas Rodet, Alain Abergel, Hacheme Ayasso, et al.. Super-resolution in map-making based on a physical instrument model and regularized inversion. Application to SPIRE/Herschel.. Astronomy and Astrophysics - A&A, EDP Sciences, 2012, pp.38. <10.1051/0004-6361/201116817>. <hal-00674514>
  • Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. Optical diffraction tomography within a variational Bayesian framework. Inverse Problems in Science and Engineering, Taylor & Francis, 2012, 20 (1), pp.59-73. <10.1080/17415977.2011.624620>. <hal-00638296>
  • Hacheme Ayasso, Thomas Rodet, Alain Abergel. A variational Bayesian approach for unsupervised super-resolution using mixture models of point and smooth sources applied to astrophysical map-making. Inverse Problems, IOP Publishing, 2012, 28 (12), pp.125005.1-125005.31. <10.1088/0266-5611/28/12/125005>. <hal-00819220>
  • Heddy Arab, Alain Abergel, Emilie Habart, Jeronimo Bernard-Salas, Hacheme Ayasso, et al.. Evolution of dust in the Orion Bar with Herschel: I. Radiative transfer modelling. Astronomy and Astrophysics Review, Springer Verlag, 2012, 541 (A19), pp.10. <hal-00956204>
  • Hacheme Ayasso, Ali Mohammad-Djafari. Joint NDT Image Restoration and Segmentation Using Gauss-Markov-Potts Prior Models and Variational Bayesian Computation. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2010, 19 (9), pp.2265 - 2277. <10.1109/TIP.2010.2047902>. <hal-00494945>
  • Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. Bayesian Inversion for Optical Diffraction Tomography. Journal of Modern Optics, Taylor & Francis, 2010, 57 (9), pp.765 - 776. <10.1080/09500340903564702>. <hal-00444424>

Chapitre d'ouvrage4 documents

  • 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>
  • Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. Approches MCMC et variationnelle de l'inversion bayésienne en imagerie de diffraction. Méthodes d'inversion appliquées au traitement du signal et de l'image, Hermes - Lavoisier, pp.223-247, 2013. <hal-00937764>
  • Hacheme Ayasso, Bernard Duchêne, Ali Mohammad-Djafari. Approches MCMC et variationnelle de l'inversion bayésienne en imagerie de diffraction. J.-F. Giovannelli and J. Idier. Méthodes d'inversion appliquées au traitement du signal et de l'image, Hermes Science Publications, pp.223-247, 2013. <hal-00832390>
  • Thomas Rodet, Aurélia Fraysse, Hacheme Ayasso. Approche bayésienne variationnelle et bimodèle pour la reconstruction-séparation de composantes astrophysiques. Méthodes d'inversion appliquées au traitement du signal et de l'image, Lavoisier, pp.249-273, 2013, Traité IC2, série Signal et image, 9782746245488. <hal-00933592>

Thèse1 document

  • Hacheme Ayasso. Une approche bayésienne de l'inversion. Application à l'imagerie de diffraction dans les domaines micro-onde et optique. Traitement du signal et de l'image. Université Paris Sud - Paris XI, 2010. Français. <tel-00564015>

Rapport1 document

  • C. Kevin Xu, Hacheme Ayasso, Alexandre Beelen, Luca Conversi, Vera Konyves, et al.. SPIRE Map-Making Test Report. [Research Report] GIPSA-LAB; IAS - Institut d'astrophysique spatiale; University of Cardiff; IAP- Institut d'astrophysique de Paris; NHSC- Caltech; University of ROMA. 2014. <hal-00937747>

Pré-publication, Document de travail1 document

  • Hacheme Ayasso, Ali Mohammad-Djafari. Joint Image Restoration and Segmentation using Gauss-Markov-Potts Prior Models and Variational Bayesian Computation: Technical Details. 4 pages, Technical report. 2009. <hal-00444326>