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Choice of flaw models in eddy-current testing by using nested sampling

Caifang Cai , Thomas Rodet , Marc Lambert
The 9th International Conference on Computational Physics (ICCP9), Jan 2015, Singapour, Singapore. pp.A13-04
Communication dans un congrès hal-01262001v1

Variational Bayesian Kalman Filtering in Dynamical Tomography

Boujemaa Ait El Fquih , Thomas Rodet
International Conference on Acoustics, Speech and Signal Processing, May 2011, Prague, Czech Republic. pp.4004-4007
Communication dans un congrès hal-00601132v1
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Bayesian estimation of regularization and point spread function parameters for Wiener-Hunt deconvolution

François Orieux , Jean-François Giovannelli , Thomas Rodet
Journal of the Optical Society of America. A Optics, Image Science, and Vision, 2010, pp.1593. ⟨10.1364/JOSAA.27.001593⟩
Article dans une revue hal-00674508v1

Super-resolution property in near and far field based on time reversal

H. Tu , S. Xiao , Thomas Rodet
2015 1st URSI Atlantic Radio Science Conference (URSI AT-RASC), May 2015, Gran Canaria, France. ⟨10.1109/URSI-AT-RASC.2015.7302870⟩
Communication dans un congrès hal-01726420v1
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Damping model-free analysis of a stochastic multi-scale frame element for earthquake engineering applications

Pierre Jehel , Hugues Vincent , Thomas Rodet
International Conference on Computational Stochastic Mechanics (CSM-7), G. Deodatis and P. D. Spanos, Jun 2014, Santorini, Greece. ⟨10.3850/978-981-09-5348-5_033⟩
Communication dans un congrès hal-01071341v1
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Data fusion and non-destructive testing of damaged fiber-reinforced laminates

Valentin Noël , Thomas Rodet , Dominique Lesselier
25th International Workshop on Electromagnetic Nondestructive Evaluation (ENDE'22), Center for Energy Research, Jun 2022, Budapest, Hungary
Communication dans un congrès hal-03617825v1

A gradient-like variational Bayesian approach for joint image super-resolution and source separation, application to astrophysical map-making

H Ayasso , Thomas Rodet , Alain Abergel , Karin Dassas
ICASSP 2013 - 38th IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, Vancouver, Canada. pp.5830-5834, ⟨10.1109/icassp.2013.6638782⟩
Communication dans un congrès hal-00832883v1

Fused microwave and ultrasonic breast imaging within the framework of a joint variational Bayesian approximation

Yingying Qin , Thomas Rodet , Dominique Lesselier
IEEE Transactions on Antennas and Propagation, 2022, 70 (12), pp.12199-12211. ⟨10.1109/TAP.2022.3209743⟩
Article dans une revue hal-03563568v1

On a Bayesian inversion approach in eddy-current testing

Caifang Cai , Marc Lambert , Thomas Rodet , Dominique Lesselier
21th International Workshop on Electromagnetic Nondestructive Evaluation (ENDE 2016), Sep 2016, Lisbonne, Portugal. Paper 21, 60-61
Communication dans un congrès hal-01376774v1

Breast imaging by convolutional neural networks from joint microwave and ultrasonic data

Yingying Qin , Peipei Ran , Thomas Rodet , Dominique Lesselier
IEEE Transactions on Antennas and Propagation, 2022, 70 (8), pp.6265-6276. ⟨10.1109/TAP.2021.3137457⟩
Article dans une revue hal-03185483v1
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Correlated Anisotropies in the Cosmic Far-Infrared Background Detected by the Multiband Imaging Photometer for Spitzer : Constraint on the Bias

Guilaine Lagache , N. Bavouzet , N. Fernandez-Conde , N. Ponthieu , Thomas Rodet , et al.
The Astrophysical Journal, 2007, 665 (2), pp.L89 - L92. ⟨10.1086/521301⟩
Article dans une revue hal-01840683v1
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A gradient-like variational Bayesian algorithm

Aurélia Fraysse , Thomas Rodet
Stastistical Signal Processing Workshop, Jun 2011, Nice, France. pp.605
Communication dans un congrès hal-00611193v1
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A Time-Evolving 3D Method Dedicated to the Reconstruction of Solar plumes and Results Using Extreme Ultra-Violet Data

Nicolas Barbey , Frédéric Auchère , Thomas Rodet , Jean-Claude Vial
2008
Pré-publication, Document de travail hal-00221471v2

Optical performance of the JWST/MIRI flight model: characterization of the point spread function at high resolution

Pierre Guillard , Thomas Rodet , S. Ronayette , J. Amiaux , Alain Abergel , et al.
SPIE : Space Telescopes and Instrumentation 2010: Optical, Infrared, and Millimeter Wave, Jun 2010, San Diego, California, United States. pp.ID_7731-18, ⟨10.1117/12.853591⟩
Communication dans un congrès hal-00547688v1

A gradient-like variational Bayesian approach for unsupervised extended emission map-making from SPIRE/Herschel data

H Ayasso , Thomas Rodet , A. Abergel
Astronomical Data Analysis, May 2012, Cargese, France
Communication dans un congrès hal-00956623v1

Nonlinearized electromagnetic imaging of complex biological structures - towards data fusion

Yingying Qin , Thomas Rodet , Marc Lambert , Dominique Lesselier
The 42nd PIERS PhotonIcs & Electromagnetics Research Symposium, Dec 2019, Xiamen, China
Communication dans un congrès hal-02200535v1
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A parameter inversion approach based on a MCMC sampling method in Eddy-Current Testing

Caifang Cai , Marc Lambert , Thomas Rodet
Inverse Problems - From Theory to Application (IPTA 2014), Institute of Physics, Aug 2014, Bristol, United Kingdom
Communication dans un congrès hal-01101690v1

Faire progresser l'imagerie du sein grâce à la fusion de données et à l'apprentissage par transfert : une exploration complète

Valentin Noël , Thomas Rodet , Dominique Lesselier
Dixième Conférence Plénière du GDR ONDES, GDR ONDES, Dec 2023, Marseille, France
Communication dans un congrès hal-04364586v1
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Inversion Bayésienne : illustration sur des problèmes tomographiques et astrophysiques

Thomas Rodet
Traitement du signal et de l'image [eess.SP]. Université Paris Sud - Paris XI, 2012
HDR tel-00819179v1

Sur un nouvel algorithme Bayesien variationel

Aurélia Fraysse , Thomas Rodet
GRETSI, 2011, France. pp.id 91
Communication dans un congrès hal-00819235v1

Fast variational Bayesian approaches applied to large dimensional problems

Yuling Zheng , Thomas Rodet , Aurelia Fraysse
International Conference on Image Processing (ICIP), Sep 2013, Australia. pp.1240
Communication dans un congrès hal-00843494v1
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A measure-theoretic variational Bayesian algorithm for large dimensional problems

Aurélia Fraysse , Thomas Rodet
SIAM Journal on Imaging Sciences, 2014, 7 (4), pp.2591-2622
Article dans une revue hal-00702259v2

An Unsupervised Algorithm for Hybrid/Morphological Signal Decomposition

Matthieu Kowalski , Thomas Rodet
International Conference on Acoustics, Speech and signal Processing, May 2011, Prague, Czech Republic. pp.4112-4115
Communication dans un congrès hal-00601138v1
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Variational Bayesian approximation with scale mixture prior: a comparison between three algorithms

Leila Gharsalli , Mohammad-Djafari Ali , Aurélia Fraysse , Thomas Rodet
32nd International Workshop on Bayesian Inference and Maximun Entropy Methods in Sciences and Engineerin, Jul 2012, Garching near Munich, Germany. pp.130-138
Communication dans un congrès hal-00854783v1

A full-spectral Bayesian reconstruction approach based on the material decomposition model applied in dual-energy computed tomography

Cai Caifang , Thomas Rodet , Samuel Legoupil , Ali Mohammad-Djafari
Medical Physics, 2013, 40, pp.111916-111931. ⟨10.1118/1.4820478⟩
Article dans une revue hal-00911736v1

Approche bayésiennevariationnelle non-supervisée basée sur les ondelettes

Yuling Zheng , Aurélia Fraysse , Thomas Rodet
25eme Colloque francophone de traitement du signal et des images (GRETSI 2015), Sep 2015, Lyon, France
Communication dans un congrès hal-01266466v1

Joint Reduce of Metal and Beam Hardenning Artifacts using Multi-Energy MAP Approach in X-ray Computed Tomography

Yuling Zheng , Caifang Cai , Thomas Rodet
International conference on Acoustics, Speech and signal Processing, May 2011, Prague, Czech Republic. pp.737-740
Communication dans un congrès hal-00601135v1
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Microwave breast imaging with prior ultrasound information

Yingying Qin , Thomas Rodet , Marc Lambert , Dominique Lesselier
IEEE Open Journal of Antennas and Propagation, 2020, 1 (472-482), ⟨10.1109/OJAP.2020.3019953⟩
Article dans une revue hal-02905443v1
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Parallelization on a 8-GPU server of iterative 3D reconstruction algorithm for dental X-ray tomography

Long Chen , Nicolas Gac , Thomas Rodet , Colombe Maury
PUMPS summer school, Jul 2012, Barcelone, Spain
Poster de conférence hal-01851992v1
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Electromagnetic Breast Imaging and Uncertainty Quantification with Bayesian Neural Networks

Valentin Noël , Thomas Rodet , Dominique Lesselier
Progress In Electromagnetics Research Symposium, PIERS, Jul 2023, Prague (Czech Republic), Czech Republic
Communication dans un congrès hal-04108645v1