Publications

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I
Iannuccelli, E., F. Mompart, J. Gellin, Y. Lahbib-Mansais, M. Yerle, and T. Boudier, "NEMO: a tool for analyzing gene and chromosome territory distributions from 3D-FISH experiments", Bioinformatics, vol. 26, no. 5, pp. 696–697, 2010.
Irshad, H., A. Gouaillard, L. Roux, and D. Racoceanu, "Multispectral Band Selection and Spatial Characterization: Application to Mitosis Detection in Breast Cancer Histopathology", Computerized Medical Imaging and Graphics (CMIG), 2014.
Irshad, H., "Automated Mitosis Detection in Histopathology using Morphological and Multi-channels Statistics Features", Journal of Pathology Informatics, vol. 4, issue 1, 05/2013.
Irshad, H., S. U. Rigaud, and A. Gouaillard, "Primal/Dual Mesh with Application to Triangular/Simplex Mesh and Delaunay/Voronoi", Insight Journal, issue 13, 12/2012.
Irshad, H., 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.
Irshad, H., 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.
Irshad, H., A. Gouaillard, L. Roux, and D. Racoceanu, "Spectral Band Selection for Mitosis Detection in Histopathology", IEEE 11th International Symposium on Biomedical Imaging (ISBI), IEEE, Beijing, China, IEEE, 2014.
Irshad, H., A. Veillard, L. Roux, and D. Racoceanu, "Methods for Nuclei Detection, Segmentation and Classification in Digital Histopathology: A Review. Current Status and Future Potential", RBME, vol. PP, issue 99, 12/2013.
Irshad, H., 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, IEEE, pp. 6091-6094, 07/2013.
Irshad, H., 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.
J
Jalali, S., 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.
Jalali, S., J-H. Lim, S. Ong, and J. Tham, "Dictionary of features in a biologically inspired approach to image classification", Neural Information Processing. Models and Applications: Springer, pp. 541–548, 2010.
Jalali, S., 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.
Jalali, S., 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.
Jalali, S., 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.
Jalali, S., 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.
Jouffrais, C., "Cherchons Pour Voir": Présentation du laboratoire de recherche commun et exemples de projets de recherche appliquée, , 2016.
K
Kolodziej, A., V. Tartas, and C. Jouffrais, "Développement du langage et des représentations de l'espace chez des enfants déficients visuels : une première étude longitudinale (poster)", 10ième édition du colloque RIPSYDEVE, Aix en Provence, France, Presses Universitaires de France (PUF), juin, 2017.
Kulikova, M. S., I. H. Jermyn, X. Descombes, E. Zhizhina, and J. Zerubia, "A marked point process model with strong prior shape information for extraction of multiple, arbitrarily-shaped objects", Proc. IEEE SITIS, Marrakech, Maroc, IEEE Computer Society, December, 2009.
Kulikova, M. S., I. H. Jermyn, X. Descombes, E. Zhizhina, and J. Zerubia, "A marked point process model with strong prior shape information", International Journal of Computer Vision and Image Processing, 2011.
Kulikova, M. S., M. Mani, A. Srivastava, X. Descombes, and J. Zerubia, "Tree Species Classification Using Radiometry, Texture and Shape Based Features", Proc. European Signal Processing Conference (EUSIPCO), 2007.
Kulikova, M. S., A. Veillard, L. Roux, and D. Racoceanu, "Nuclei extraction from histopathological images using a marked point process approach", SPIE Medical Imaging, San Diego, California, USA, 02/2012.
Kulikova, M. S., Shape recognition for image scene analysis, : Université de Nice - Sophia-Antipolis, 12/2009.
Kulikova, M. S., I. H. Jermyn, X. Descombes, E. Zhizhina, and J. Zerubia, "Extraction of arbitrarily shaped objects using stochastic multiple birth-and-death dynamics and active contours", Proc. IS&T/SPIE Electronic Imaging, San Jose, USA, January, 2010.

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