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Hadj Batatia
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Documents
Identifiants chercheurs
- hadj-batatia
- 0000-0003-0433-2152
- Google Scholar : https://scholar.google.com/citations?user=rsGFcxwAAAAJ&hl=en
- IdRef : 079061265
Présentation
I received my MSc and PhD in computer science in 1987 and 1992 from the [University of Toulouse](http://en.univ-toulouse.fr/).
I worked as Lecturer at the [University of Malaysia Sarawak](http://www.unimas.my) from 1995 to 1997.
I also worked as Senior Lecturer in Media Technology at the school of science and technology in the [University of Teesside](http://www.tees.ac.uk) (UK) from 1997 to 1999.
I am assistant professor in Computer Science at [INPT](http://www.inp-toulouse.fr) , [University of Toulouse](http://www.univ-toulouse.fr/) since 1999.
I conduct my research within TCI team at the [IRIT Laboratory](http://www.irit.fr).
I am heading the computer science department of [CNAM Midi-Pyrenees](http://www.ipst-cnam.fr).
Contact
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INP - ENSEEIHT Toulouse
2, rue Charles Camichel
B.P. 7122
31071 Toulouse Cedex 7
FRANCE Office: E130
Tel. +33534322168
email. hadj \[dot\] batatia \[at\] inp-toulouse \[dot\] fr
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Computing the Cramer-Rao bound of Markov random field parameters: Application to the Ising and the Potts modelsIEEE Signal Processing Letters, 2014, vol. 21, pp. 47-50. ⟨10.1109/LSP.2013.2290329⟩
Article dans une revue
hal-00915825v1
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Estimating the granularity coefficient of a Potts-Markov random field within an MCMC algorithmIEEE Transactions on Image Processing, 2013, 22 (6), pp.2385-2397. ⟨10.1109/TIP.2013.2249076⟩
Article dans une revue
hal-01130731v1
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Segmentation of skin lesions in 2D and 3D ultrasound images using a spatially coherent generalized Rayleigh mixture modelIEEE Transactions on Medical Imaging, 2012, 31 (8), pp.1509--1520. ⟨10.1109/TMI.2012.2190617⟩
Article dans une revue
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Segmentation of skin lesions in 2D and 3D ultrasound images using a spatially coherent generalized Rayleigh mixture modelIEEE Transactions on Medical Imaging, 2012, 31 (8), pp.1509-1520. ⟨10.1109/TMI.2012.2190617⟩
Article dans une revue
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A hierarchical sparsity-smoothness Bayesian model for ℓ0 + ℓ1 + ℓ2 regularizationIEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP 2014, May 2014, Florence, Italy. pp. 1901-1905
Communication dans un congrès
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Labeling skin tissues in ultrasound images using a generalized Rayleigh mixture modelInternational Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), IEEE, May 2011, Prague, Czech Republic. pp.729--732, ⟨10.1109/ICASSP.2011.5946507⟩
Communication dans un congrès
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Un modèle de mélange de lois Rayleigh généralisées pour la classification des échographies cutanées23ème Colloque du Groupe de Recherche et d'Etudes du Traitement du Signal et des Images (GRETSI 2011), Sep 2011, Bordeaux, France. pp.837-840
Communication dans un congrès
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Segmentation of high frequency ultrasound images using a spatially coherent generalized Rayleigh mixture model19th European Signal and Image Processing Conference (EUSIPCO 2011), European Association for Signal Processing (EURASIP); Centre Tecnològic de Telecomunicacions de Catalunya (CTTC); Universitat Politècnica de Catalunya (UPC), Aug 2011, Barcelona, Spain. pp.664--668
Communication dans un congrès
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Bayesian segmentation of chest tumors in PET Scans using a Poisson-Gamma mixture modelIEEE Workshop on Statistical Signal Processing (2011), IEEE, Jun 2011, Nice, France. pp.809--812, ⟨10.1109/SSP.2011.5967828⟩
Communication dans un congrès
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Un modèle Bayésien de mélange de lois Poisson-Gamma pour segmenter des images TEPReconnaissance des Formes et Intelligence Artificielle (RFIA 2012), Jan 2012, Lyon, France. Actes de la conférence RFIA 2012, 2012
Poster de conférence
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Segmentation of skin lesions in 2D and 3D ultrasound images using a spatially coherent generalized Rayleigh mixture modelIRIT--2011, IRIT : Institut en Recherche Informatique de Toulouse, France. 2011
Rapport
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