Larbi Boubchir

CNRS Postdoctoral Researcher

ICube - MIV 300 Bd Sébastien Brant BP 10413 67412 Illkirch CEDEX - France Tel : + 33 (0) 3 68 85 44 84 Fax : + 33 (0) 3 68 85 44 97 Bureau : C223 Courriel : larbi.boubchir@icube.unistra.fr

Research Activities

White-matter fibers clustering of the humain brain My current research is centered on white-matter fibers clustering of the fetal brain, and falls within the ERC FBrain project where the main objective is to study the fetal brain maturation and to provide essential tools for neurosurgerians and neurophysicians.

Key-words : Fiber Clustering, Fiber Tractography, dMRI (Diffusion Magnetic Resonance Imaging), DTI (Diffusion tensor imaging), Foetal Brain.

Software: Baby Brain Toolkit BTK Btk it a toolkit developped for the ERC FBrain, it contain tools for image processing, reconstruction, denoising, segmentation, tractography... Btk is coded with the C++ language and use ITK and VTK frameworks Btk is open-source with and under the CeCill-B licence Btk is hosted on GitHub

Key-words : BTK, ITK, VTK, CMake, Git, GitHub, C++, Python, 3D-Slicer, ITK-SNAP

ERC FBrain project team Aicha bentaieb Frédéric Champ Julien Pontabry Marc Schweitzer Francois Rousseau

Teaching Activities

• University of Strasbourg (2012-2013)

Department: UFR Mathematics & Computer Science

Course: Databases (Licence 3 Informatique-TD)

• IUT Robert Schuman - Illkirch (2012-2013)

Department: Computer Science

Computer Science DUT-1st year: P22-The use of software components (Java and Swing Components Library) (TD-TP)

Publications

Journal articles

• L. Boubchir and B. Boashash, "Wavelet denoising based on the MAP estimation using the BKF prior with application to images and EEG signals", IEEE Transactions on Signal Processing, Vol. 61, No. 8, pp. 1880-1894, 2013 [DOI 10.1109/TSP.2013.2245657].
• B. Boashash, L. Boubchir, and G. Azemi, "A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals", EURASIP Journal on Advances in Signal Processing (Special Issue: Advances in Time Frequency and Array Processing of Non-stationary Signals), 2012:117, doi:10.1186/1687-6180-2012-117, published: 29 May 2012.
• L. Boubchir and J. Fadili, "Reply to comments of A. Achim, E. Kuruoglu, A. Bezerianos and P. Tsakalides on 'A closed-form nonparametric Bayesian estimator in the wavelet-domain of images using an approximate alpha-stable prior", Pattern Recognition Letters (Elsevier), Vol. 28, No. 13, pp. 1848-1851, 2007.
• L. Lancieri and L. Boubchir, "Using Multiple Uncertain Examples and Adaptative Fuzzy Reasoning to Optimize Image Characterization", Knowledge-Based Systems (Elsevier), Vol. 20, No. 3, pp. 266-276, 2007.
• L. Boubchir and J. Fadili, "A closed-form nonparametric Bayesian estimator in the wavelet-domain of images using an approximate alpha-stable Prior", Pattern Recognition Letters (Elsevier), Vol. 27(12), pp. 1370-1382, 2006.
• J. Fadili and L. Boubchir, "Analytical form for a Bayesian wavelet estimator of images using the Bessel K Form densities", IEEE Transactions on Image Processing, Vol. 14, No. 2, pp. 231-240, 2005.

Conference and workshop articles

• B. Boashash and L. Boubchir, "On the selection of time-frequency features for improving the detection and classification of newborn EEG seizure signals and other abnormalities", Neural Information Processing: ICONIP'2012, Part IV, Lecture Notes in Computer Science Volume 7666, pp. 634-643, 2012.
• L. Boubchir, T. Brahimi, R. Fournier and A. Nait-Ali, "A novel multimodal compression scheme based on a spiral insertion function in the wavelet domain", The 11th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA'2012), pp. 137-142, July 3-5, Montreal, Canada, 2012.
• B. Boashash, L. Boubchir and G. Azemi, "Improving the classification of newborn EEG time-frequency representations using a combined time-frequency signal and image approach", The 11th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA'2012), pp. 316-321, July 3-5, Montreal, Canada, 2012.
• Y. Bahnasy, N. Saad, L. Boubchir and B. Boashash, "Calibration of time features and frequency features in the time-frequency domain for improved detection and classification of seizures in newborn EEG signal", The 11th International Conference on Information Sciences, Signal Processing and their Applications (ISSPA'2012), pp. 1483-1484, July 3-5, Montreal, Canada, 2012.
• A. Boudjelal, Z. Messali, L. Boubchir and N. Chetih, "Nonparametric Bayesian estimation structures in the wavelet domain of multiple noisy image copies", In proc. of the 6th International Conference on Sciences of Electronic, Technologies of Information and Telecommunications (SETIT'2012), pp. 495-501, Mar. 21-24, Souce, Tunisia, 2012.
• B. Boashash, L. Boubchir and G. Azemi, "Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities", The 11th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT'2011), pp. 120-129, Dec. 14-17, Bilbao, Spain, 2011.
• L. Boubchir, B. Durning and E. Petit, "EM algorithm-based hyperparameters estimator for Bayesian image denoising using BKF prior", SPIE Electronic Imaging-Image Processing: Algorithms and Systems IX, Vol. 7870, pp. 78700W-10, Jan. 23-27, San Francisco, USA, 2011.
• L. Boubchir, A. Nait-Ali and E. Petit, "Multivariate statistical modeling of images in Sparse representation transforms domain using BKF prior", The IEEE International Conference on Image Processing (ICIP'2010), pp. 1877-1880, Sept. 26-29, Hong Kong, 2010.
• S. Amira-Biad, T. Bouden and L. Boubchir, "Study of a quantisation index modulation based informed watermarking scheme", In Proceedings of the 5th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS'2009), Nov. 29-Dec. 4, Marrakech, Morocco, 2009.
• L. Boubchir, "Modeling inter- and intra-scale image in oriented and non-oriented sparse representation transforms", In Proceedings of the International Conference on Image and Signal Processing and their Applications (ISPA'2009), Oct. 19-21, Mostaganem, Algeria, 2009.
• L. Boubchir, A. Otmani and N. Zerida, "The 2nd BOWS contest: wavelet-based Bayesian denoising attack on image watermarking", International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP'2008), pp. 473-479, Aug. 15-17, Harbin, China, 2008.
• J. Fadili, J.–L. Starck and L. Boubchir, "Morphological diversity and sparse image denoising", The IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'2007), Vol. I, pp. 589-592, Apr. 15-20, Honolulu, USA, 2007.
• L. Boubchir and J. Fadili, "Bayesian denoising based on the MAP estimation in wavelet-domain using Bessel K Form prior", The IEEE International Conference on Image Processing (IEEE ICIP'2005), Vol. I, pp. 113-116, Sept. 11-14, Genoa, Italy, 2005.
• L. Boubchir and J. Fadili, "Multivariate statistical modeling of images with the curvelet transform", The 8th International Conference on Signal Processing and Its Applications (ISSPA'2005), pp. 747-750, Aug. 28-31, Sydney, Australia, 2005.
• L. Boubchir, J. Fadili and D. Bloyet, "Bayesian denoising in the wavelet-domain using an analytical approximate alpha-stable prior", The 17th International Conference On Pattern Recognition (ICPR’2004), Vol. 4, pp. 889-892, Aug. 23-26, Cambridge, UK, 2004.

French conference and workshop articles

• L. Boubchir, "Modélisation statistique multivariée des images dans le domaine des transformées multi-échelles orientées et non-orientées", 22th GRETSI Symposium on Signal and Image Processing, Sept. 8-11, Dijon, France, 2009.
• L. Boubchir, "Algorithme EM pour l'estimation des hyperparamètres du débruiteur bayésien d'images basé sur l'a priori des Formes K de Bessel", Journées d’Etudes Algéro-Françaises en Imagerie Médicale (in Proc. of JETIM’2006), Nov. 21-22, Algiers, Algeria, 2006.
• L. Boubchir and J. Fadili, "Modélisation statistique multivariée des images dans le domaine de la transformée de Curvelet", 20th GRETSI Symposium on Signal and Image Processing (GRETSI'2005), pp. 233-236, Septembre 6-9, Louvain-la-Neuve, Belgium, 2005.
• L. Boubchir, J. Fadili and D. Bloyet, "Le processus alpha-stable pour l'estimation Bayésienne non paramétrique des images dans le domaine des Ondelettes", Journées d'Etude sur les Méthodes pour les Signaux Complexes en Traitement d'Image (in Proc. of JEMOSICO'2003), pp. 105-118, Déc. 9-10, INRIA Rocquencourt, Paris, France, 2003.

Talks and Short Communications

• L. Boubchir and B. Boashash, "Selecting the maximum relevant translated EEG time-frequency features with a minimum redundancy using the mutual information measure for newborn seizure detection and classification", Qatar Foundation Annual Research Forum, Doha, Qatar, Oct. 21-23, 2012.
• L. Boubchir, T. Brahimi, R. Fournier and A. Nait-Ali, "A novel wavelet-based multimodal compression scheme for joint image-signal compression", Qatar Foundation Annual Research Forum, Doha, Qatar, Oct. 21-23, 2012.
• L. Boubchir and B. Boashash, "Newborn EEG-based automatic abnormalities diagnosis scheme using a time-frequency & image processing approach", Qatar Foundation Annual Research Forum, Doha, Qatar, Nov. 20-22, 2011.
• L. Boubchir, "Bayesian approach for time-frequency image denoising with application to EEG signals", First Workshop on Time-Frequency Signal Analysis and Processing, Qatar University College of Engineering, June 14, 2011.
• L. Boubchir, A. Otmani and N. Zerida, "Attaque de tatouage d’image fondée sur une estimation bayésienne non-linéaire non-paramétrique dans le domaine des ondelettes", Journées Codage et Cryptographie, Mars 17-21, Carcans, France, 2008.
• J. Fadili and L. Boubchir, "Sparse representations and Bayesian denoising", SIAM Conference on Imaging Science (SIAM-IS’2006), May 15-18, Minneapolis, USA, 2006.
• L. Boubchir, J. Fadili and D. Bloyet, "Le processus alpha-stable pour l'estimation Bayésienne non paramétrique des images dans le domaine des ondelettes", Conf. IFR-47; Institut Fédératif de Recherche en Neuro-Imagerie Fonctionnelle, Cyceron, Sept. 13, Caen, France, 2003.

Thesis

• L. Boubchir, "Approches statistiques pour le débruitage bayésien des images dans le domaine des transformées multi-échelles parcimonieuses orientées et non-orientées", Ph.D. Thesis in Signal and Image Processing (in French), Université de Caen-Basse Normandie, France, Jui. 2007.