| Joint NDT image restoration and segmentation using Gauss–Markov–Potts prior models and variational Bayesian computation H Ayasso, A Mohammad-Djafari IEEE Transactions on Image Processing 19 (9), 2265-2277, 2010 | 134 | 2010 |
| Evolution of dust in the Orion Bar with Herschel-I. Radiative transfer modelling H Arab, A Abergel, E Habart, J Bernard-Salas, H Ayasso, K Dassas, ... Astronomy & Astrophysics 541, A19, 2012 | 105 | 2012 |
| Bayesian inversion for optical diffraction tomography H Ayasso, B Duchêne, A Mohammad-Djafari Journal of Modern Optics 57 (9), 765-776, 2010 | 31 | 2010 |
| Physical structure of the photodissociation regions in NGC 7023-Observations of gas and dust emission with Herschel M Köhler, E Habart, H Arab, J Bernard-Salas, H Ayasso, A Abergel, ... Astronomy & Astrophysics 569, A109, 2014 | 28 | 2014 |
| Super-resolution in map-making based on a physical instrument model and regularized inversion-Application to SPIRE/Herschel F Orieux, JF Giovannelli, T Rodet, A Abergel, H Ayasso, M Husson Astronomy & Astrophysics 539, A38, 2012 | 20 | 2012 |
| SELFI: an object-based, Bayesian method for faint emission line source detection in MUSE deep field data cubes C Meillier, F Chatelain, O Michel, R Bacon, L Piqueras, R Bacher, ... Astronomy & Astrophysics 588, A140, 2016 | 18 | 2016 |
| Inverse scattering in a Bayesian framework: Application to microwave imaging for breast cancer detection L Gharsalli, H Ayasso, B Duchêne, A Mohammad-Djafari Inverse Problems 30 (11), 114011, 2014 | 18 | 2014 |
| A variational Bayesian approach for unsupervised super-resolution using mixture models of point and smooth sources applied to astrophysical map-making H Ayasso, T Rodet, A Abergel Inverse Problems 28 (12), 125005, 2012 | 17 | 2012 |
| Optical diffraction tomography within a variational Bayesian framework H Ayasso, B Duchêne, A Mohammad-Djafari Inverse Problems in Science and Engineering 20 (1), 59-73, 2012 | 17 | 2012 |
| Online mobile C-arm calibration using inertial sensors: a preliminary study in order to achieve CBCT I Lemammer, O Michel, H Ayasso, S Zozor, G Bernard International journal of computer assisted radiology and surgery 15 (2), 213-224, 2020 | 16 | 2020 |
| Nonparametric Bayesian extraction of object configurations in massive data C Meillier, F Chatelain, O Michel, H Ayasso IEEE Transactions on Signal Processing 63 (8), 1911-1924, 2015 | 15 | 2015 |
| Variational Bayes and mean field approximations for Markov field unsupervised estimation A Mohammad-Djafari, H Ayasso 2009 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2009 | 12 | 2009 |
| Une approche bayésienne de l'inversion. Application à l'imagerie de diffraction dans les domaines micro-onde et optique H Ayasso Université Paris Sud-Paris XI, 2010 | 10 | 2010 |
| Error control for the detection of rare and weak signatures in massive data C Meillier, F Chatelain, O Michel, H Ayasso 2015 23rd European Signal Processing Conference (EUSIPCO), 1974-1978, 2015 | 9 | 2015 |
| Variational bayes with Gauss-Markov-Potts prior models for joint image restoration and segmentation H Ayasso, A Mohammad-Djafari Bayesian Approach for Inverse Problems in Computer Vision 2, 571-576, 2008 | 8 | 2008 |
| Microwave tomography for breast cancer detection within a variational Bayesian approach L Gharsalli, B Duchêne, A Mohammad-Djafari, H Ayasso 21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013 | 7 | 2013 |
| Variational Bayes approach for tomographic reconstruction H Ayasso, S Fekih‐Salem, A Mohammad‐Djafari AIP Conference Proceedings 1073 (1), 243-251, 2008 | 6 | 2008 |
| AMICal Sat and ATISE: two space missions for auroral monitoring M Barthélemy, V Kalegaev, A Vialatte, E Le Coarer, E Kerstel, A Basaev, ... Journal of Space Weather and Space Climate 8, A44, 2018 | 5 | 2018 |
| Non-parametric bayesian framework for detection of object configurations with large intensity dynamics in highly noisy hyperspectral data C Meillier, F Chatelain, O Michel, H Ayasso 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 5 | 2014 |
| Variational Bayesian inversion for microwave breast imaging L Gharsalli, H Ayasso, B Duchêne, A Mohammad-Djafari Computer Assisted Methods in Engineering and Science 21 (3/4), 199-210, 2014 | 5 | 2014 |