Publications

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In Press
R. Endelin, S. Renouard, T. Tiberghien, H. Aloulou, and M. Mokhtari, "Behavior Recognition for Elderly People in Large-Scale Deployment", 11th International Conference on Smart Homes and Health Telematics (ICOST), LNCS, Singapore, Springer, In Press.
2013
S. U. Rigaud, C-H. Huang, A. Sohail, J-H. Lim, and D. Racoceanu, "An Analysis-Synthesis Approach for Neurosphere Modelisation under Phase-Contrast Microscopy", IEEE International Conference of Engineering of the Medicine and Biology Society (EMBC'13), Osaka, Japan, 07/2013.
H. Irshad, "Automated Mitosis Detection in Histopathology uisng morphological and Multi-channels Statistical Features", Journal of Pathology Informatics, vol. 4, issue 13, 2013.
S. Jalali, P. Seekings, C. Tan, H. Z. W. Tan, J-H. Lim, and E. Taylor, "Classification of Marine Organisms in Underwater Images using CQ-HMAX Biologically inspired Color Approach", IJCNN, The 2013 International Joint Conference on Neural Networks, 2013.
H. Aloulou, M. Mokhtari, T. Tiberghien, J. Biswas, C. Phua, K. J. H. Lin, and P. Yap, "Deployment of assistive living technology in a nursing home environment: methods and lessons learned", BMC medical informatics and decision making, vol. 13, no. 1: BioMed Central Ltd, pp. 42, 2013.
H. Irshad, L. Roux, O. Morère, D. Racoceanu, G L. Naour, and F. Capron, "Détection automatique et calcul du compte de mitoses sur lames H&E", Recherche en Imagerie et Technologies pour la Santé (RITS), Bordeaux, France, 04/2013.
S. Jalali, C. Tan, J-H. Lim, J. Y. Tham, SH. Ong, P. Seekings, and E. Taylor, "Encoding Co-occurrence of Features in HMAX Model ", (CogSci), the annual meeting of the cognitive science society, 2013.
L. Roux, D. Racoceanu, N. Loménie, M. S. Kulikova, H. Irshad, J. Klossa, F. Capron, C. Genestie, G L. Naour, and M. N. Gurcan, "Mitosis Detection in Breast Cancer Histological Images, An ICPR 2012 Contest", Journal of Pathology Informatics, (to appear), 2013.
H. Irshad, L. Roux, and D. Racoceanu, "Multi-channels Statistical and Morphological Features based Mitosis Detection in Breast Cancer Histopathology", 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’13), Osaka, Japan, 07/2013.
S. Jalali, P. Seekings, C. Tan, A. Ratheesh, J-H. Lim, and E. Taylor, "The Use of Optical and Sonar Images in the Human and Dolphin Brain for Image Classification ", IJCNN, The 2013 International Joint Conference on Neural Networks, 2013.
S. Jalali, C. Tan, J-H. Lim, J. Y. Tham, SH. Ong, P. Seekings, and E. Taylor, "Visual Recognition using a Combination of Shape and Color Features", (CogSci), the annual meeting of the cognitive science society, 2013.
2012
M. Agrawal, S. Akshay, B. Genest, and P. S. Thiagarajan, "Approximate Verification of the Symbolic Dynamics of Markov Chains", LICS 2012, Proceedings of the 27th Annual IEEE Symposium on Logic in Computer Science, pp. 55-64, 2012.
H. Irshad, S. Jalali, L. Roux, D. Racoceanu, J-H. Lim, G L. Naour, and F. Capron, "Automated mitosis detection using texture, sift features and hmax biologically inspired approach", in Workshop on Histopathology Image Analysis (HIMA), MICCAI, Nice, France, 10/2012.
A. Veillard, M. S. Kulikova, and D. Racoceanu, "Cell Nuclei Extraction from Breast Cancer Histopathology Images Using Color, Texture, Scale and Shape Information", 11th European Congress on Telepathology and 5th International Congress on Virtual Microscopy, 06/2012.
S. Jalali, J-H. Lim, J-Y. Tham, and S-H. Ong, "Clustering and Use of Spatial and Frequency Information in a Biologically Inspired Approach to Image Classification", International Joint Conference on Neural Networks, 2012.
S. K. Palaniappan, S. Akshay, B. Liu, B. Genest, and P. S. Thiagarajan, "A Hybrid Factored Frontier Algorithm for Dynamic Bayesian Networks with a Biopathways Application", IEEE/ACM Trans. Comput. Biology Bioinform., vol. 9, no. 5, pp. 1352-1365, 2012.
S. U. Rigaud, and A. Gouaillard, "Incremental Delaunay Triangulation", Insight Journal, 07/2012.
C. Avenel, and M. S. Kulikova, "Marked Point Processes with Simple and Complex Shape Objects for Cell Nuclei Extraction from Breast Cancer H&E Images", SPIE Medical Image, 2012.
H. Irshad, L. Roux, and D. Racoceanu, "Multi-channel Statistics features based Mitosis Detection in Histopathology", International Workshop on Pattern Recognition for Healthcare Analytics (IWPRHA), International Conference on Pattern Recognition (ICPR), Tsukuba, Japan, 11/2012.
S. U. Rigaud, N. Loménie, S. Sankaran, A. Sohail, J-H. Lim, and D. Racoceanu, "Neurosphere fate prediction: an analysis-synthesis approach for feature extraction", IEEE International Joint Conference on Neural Networks (IJCNN'12), Brisbane, Australia, pp. 1881-1887, 2012.
M. Mokhtari, H. Aloulou, T. Tiberghien, J. Biswas, D. Racoceanu, and P. Yap, "New Trends to Support Independence in Persons with Mild Dementia–A Mini-Review", Gerontology: Karger Publishers, 2012.
M. S. Kulikova, A. Veillard, L. Roux, and D. Racoceanu, "Nuclei extraction from histopathological images using a marked point process approach", Proc. SPIE Medical Imaging, San Diego, California, USA, 02/2012.
N. Loménie, and D. Racoceanu, "Point Set Morphological Filtering and Semantic Spatial Configuration Modeling: application to microscopic image analysis", Pattern Recognition, Springer, vol. 45, issue 8, pp. 2894-2911, 02/2012.
A. Veillard, D. Racoceanu, and S. Bressan, "pRBF Kernels: A Framework for the Incorporation of Task-Specific Properties into Support Vector Methods", ICMLA, 2012.
H. Irshad, S. U. Rigaud, and A. Gouaillard, "Primal/Dual Mesh with Application to Triangular/Simplex Mesh and Delaunay/Voronoi", Insight Journal, issue 13, 12/2012.

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