Selected Publications :

Full list

Journals with reviewing committee

  1. Humayun Irshad, Sepehr Jalali, Ludovic Roux, Daniel Racoceanu, Joo Hwee Lim, Gilles Le Naour, Frédérique Capron, Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach, Journal of Pathology Informatics, volume 4, issue 12, March 2013, DOI:10.4103/2153-3539.109870. [pdf] [DOI]
  2. Chao-Hui Huang, Shvetha Sankaran, Daniel Racoceanu, Srivats Hariharan, Sohail Ahmed, On-line 3-D Tracking suspension living cells imaged with phase-contrast microscopy, IEEE Trans. Biomed Engineering, Vol. 59, Issue 7, July 2012, pp. 1924 – 1933. [pdf] [DOI]
  3. Mounir Mokhtari, Hamdi Aloulou, Thibaut Tiberghien, Jit Biswas, Daniel Racoceanu, Philip Yap, New Trends to Support Independence in Persons with Mild Dementia - A Mini-Review, Gerontology, vol. 58, June 2012, pp. 554–563. [pdf] [DOI]
  4. Nicolas Loménie, Daniel Racoceanu, Point set morphological filtering and semantic spatial configuration modeling: applications to microscopic image and bio-structure analysis, , Pattern Recognition, vol. 45, Issue 8, Feb 2012, pp. 2894-2911. [pdf] [DOI]
  5. Chao-Hui Huang, Antoine Veillard, Ludovic Roux, Nicolas Loménie, Daniel Racoceanu, Time-efficient sparse analysis of histopathological Whole Slide Images, Whole Slide Image Process, Special Issue, CMIG - Computerized Medical Imaging and Graphics, , ISSN: 0895-6111, vol. 35, issue 7, 11/2011, pp. 579-591. [pdf] [DOI]
  6. Wei Xiong, S. H. Ong, Joo Hwee Lim, Kelvin Foong, Jiang Liu, Daniel Racoceanu, Alvin G. L. Chong, and Kevin S. .W. Tan, Automatic Working Area Classification in Peripheral Blood Smears, IEEE Trans. Biomed Engineering, ISSN: 0018-9294, vol. 57, no. 8, Aug. 2010, pp. 1982-1990. [pdf]
  7. Adrien Depeursinge, Daniel Racoceanu, Jimison Iavindrasana, Gilles Cohen, Alexandra Platon, Pierre-Alexandre Poletti, Henning Muller, Fusing visual and clinical information for lung tissue classification in HRCT data, Artificial Intelligence in Medicine, Knowledge Discovery and Computer-Based Decision Support in Biomedicine, ISSN: 0933-3657, vol. 50, issue 1, Sept. 2010, pp. 13-21. [pdf]
  8. Toshiharu Nakai, Epifanio Bagarinao, Yoshio Tanaka, Kayato Matsuo, Daniel Racoceanu, Ontology for fMRI as a Biomedical Informatics Method, Magn. Reson. Med. Sci., ISSN: 1347-3182, vol. 7, no. 3, 2008, pp. 141-155. [pdf]
  9. Roxana Teodorescu, Daniel Racoceanu, Wee-Kheng Leow and Vladimir Cretu, Prospective Study for Semantic Inter-Media Fusion in Content-Based medical Image Retrieval, original paper, Medical Imaging Technology, vol.26, no.1, Jan. 2008, pp.1-11. [pdf]
  10. Patrick Brezillon, Daniel Racoceanu, A Context Model for Content Based Medical Image Retrieval, Medical Imaging Technology, Special Issue on Ontology and Context Related Medical Image Distributed Intelligent Access, vol.25, no.5, Nov. 2007, pp.327-332. [pdf]
  11. Mei-Ju Su, Heng-Shuen Chen, Chung-Yi Yang, Sao-Jie Chen, Robert Chen, Wen-Jeng Lee, Po-Hsun Chen, Ping-Kung Yip, Hon-Mon Liu, Fei-Pei Lai, Daniel Racoceanu, Diagnostic Decision Support by Intelligent Medical Image Retrieval with Electrical Medical Record Enhance Dementia Treatment, Medical Imaging Technology, Special Issue on Ontology and Context Related Medical Image Distributed Intelligent Access, vol.25, no. 5, Nov. 2007, pp.350-355. [pdf]
  12. N. Palluat, D. Racoceanu, N. Zerhouni, A neuro-fuzzy monitoring system. Application to flexible production systems , Computers in Industry, Special Issue: E-maintenance, Ed. Elsevier Science, vol. 57, no. 6, 2006, pp. 528-538. [pdf]
  13. N. Palluat, D. Racoceanu, N. Zerhouni, Utilisation des réseaux de neurones temporels pour le pronostic et la surveillance dynamique. Etude comparative de trois réseaux de neurones récurrents, Revue des sciences et technologies de l’information - RSTI, série Revue d’intelligence artificielle – RIA, vol.19, n°6/2005, pp. 913-950. [pdf]
  14. R. Zemouri, D. Racoceanu, N. Zerhouni, Recurrent Radial Basis Function network for Time-Series Prediction, Engineering Applications of Artificial Intelligence, The International Journal of Intelligent Real-Time Automation, journal IFAC - the International Federation of Automatic Control, Ed. Elsevier Science, vol. 16, Issue 5-6, 2003, pp.453-463. [pdf]
  15. R. Zemouri, D. Racoceanu, N. Zerhouni, Réseaux de Neurones Récurrents a Fonctions de Base radiales. Application à la Surveillance Dynamique, JESA – Journal Européen des Systèmes Automatisés, Ed. Hermès, ISBN : 2-7462-0834-2, vol. 37 – n° 1, 2003, pp. 49-81. [pdf]
  16. R. Zemouri, D. Racoceanu, N. Zerhouni, S. Durand, Utilisation Conjointe des Techniques de Modélisation Analytique et de Simulation pour l’Evaluation des Performances en Optimisation de l’Organisation d’un Service de Maintenance, International Journal of Mechanical Production System Engineering, n° 7, 2003, pp. II-3-II-14. [pdf]
  17. E. Minca, D. Racoceanu, N. Zerhouni, Monitoring Systems Modeling and Analysis Using Fuzzy Petri Nets, Studies in Informatics and Control Journal, vol. 11, n°4, 2002. [pdf]
  18. R. Zemouri, D. Racoceanu, N. Zerhouni, Réseaux de Neurones Récurrents à Fonctions de Base radiales. Application au Pronostic, Revue des sciences et technologies de l’information - RSTI, série Revue d’intelligence artificielle- RIA, vol. 16, n° 13/2002, ISBN : 2-7462-0568-8, Ed. Hermès – Lavoisier, Paris, 2002, pp. 307-338. [pdf]
  19. D. Racoceanu, A. El Moudni, S. Zerhouni, M. Ferney, On a new method of Markov chain reduction, Journal of Mathematical Modelling of Systems, vol 1, n° 3, Oct. 1995.
  20. D. Racoceanu, A. El Moudni, S. Zerhouni, M. Ferney, A singular perturbation approach to modelling and resolution of Markov chains, SAMS – System Analysis Modelling Simulation, vol 15, 1994.

International Conference Invitee

  1. D. Racoceanu, MICO - A COgnitive virtual MIcroscopy platform for histopathological Whole Slide Images Analysis. Application to Breast Cancer Grading, The 9th Korea-Singapore Joint Workshop on Bioinformatics, Conference Invitée, 23 Feb. 2010, KAIST - Korea Advanced Institute of Science and Technology, Daejeon, South Korea [slides]
  2. Daniel Racoceanu, IPAL researches in ontology driven virtual microscopy for breast cancer grading, European COST Action IC0604 Euro-Telepath, Management Committee and 6/7th Working Groups Meetings, Conference Invited Expert, 03-04 Dec. 2009, Lausanne, Switzerland
  3. D. Racoceanu, Translational Breast Cancer Grading System by Automatic Analysis of Histopathology Images in a Virtual Microscope Framework, “Romanian Scientific Diaspora” Conference, Exploratory Workshop: Bioinformatics, Conference Invitee, 17 – 19 Sept. 2008, Bucharest, Romania. [slides]
  4. D. Racoceanu, Image Based Reasoning using Medical Knowledge to improve Diagnosis Assistance. Showcases: Early Detection of Brain stroke from brain CT, Histopathology Imaging-based Automatic Breast Cancer Grading, First International Symposium on ICT For Health - ICT4Health 2008, Keynote Lecture, Feb. 29 th -1 st Mar. 2008, Ateneo de Manila University, Manila, Philippines. [pdf]
  5. D. Racoceanu, Réseaux de Neurones Temporels. Application à la Maintenance Préventive et à la Télémaintenance, Conference Invitée , Conférence Internationale d’Ingénierie Intégrée - C2I 2002, 25-26 Apr. 2002, Timisoara , Romania. [pdf]

Books chapters

  1. Nicolas Loménie, Daniel Racoceanu, Georges Stamon, Point Set Analysis: an image analysis point of view, in Rapid Prototyping / Book 1", Ed. M. Hoque, ISBN 978-953-307-970-7, InTech, July 2011 [pdf] [link]
  2. Roxana Oana Teodorescu, Vladimir Ioan Cretu and Daniel Racoceanu, Medical Image Processing and Analysis for Parkinson's Disease Diagnosis and Prognosis, "Biomedical Engineering, Trends, Researches and Technologies", Ed. Anthony N. Laskovski, InTech, ISBN: 978-953-307-475-7, InTech, January 2011. [pdf] [3000 downloads !!]
  3. Mei-Ju Su, Po-Hsun Cheng, Sao-Jie Chen, Chung-Yi Yang, Ping-Kung Yip, Daniel Racoceanu and Heng-Shuen Chen, Medical Image Intelligent Access Integrated with Electronic Medical Records System for Brain Degenerative Disease, Data Storage, Book edited by: Florin Balasa, ISBN: 978-953-307-063-6, Publisher: InTech, Publishing date: April 2010, pp. 201-211. [pdf]
  4. Caroline Lacoste, Jean-Pierre Chevallet, Joo-Hwee Lim, Diem Le Thi Hoang, Xiong Wei, Daniel Racoceanu, Roxana Teodorescu and Nicolas Vuillenemot, Inter-Media Concept-Based Medical Image Indexing and Retrieval with UMLS at IPAL, in Lecture Notes in Computer Science, Evaluation of Multilingual and Multi-modal Information Retrieval, vol. 4730/2007, pp. 694-701. [pdf]

- Edition of symposium proceedings and scientific journals special issues

  1. Loménie, Nicolas; Racoceanu, Daniel; Gouaillard, Alexandre (Eds.), Advances in Bio-Imaging: From Physics to Signal Understanding Issues, State-of-the-Art and Challenges, Springer Series: Advances in Intelligent and Soft Computing, Vol. 120, 2012, 2012, XXII, 246 p., ISBN 978-3-642-25546-5, January 9, 2012 [URL], [SFBI 2011]
  2. Wee-Kheng Leow, Feng Ding, Hao Li, Daniel Racoceanu (Editors), SinFra’09 - Singaporean-French IPAL Symposium, Proceedings of the symposium with the selected publications, ISBN: 978-981-4277-55-6(CD) / 981-4277-55-X(CD), 18–20 Feb. 2009, Fusionopolis & Institute for Mathematical Sciences, Singapore. [pdf] [URL]
  3. Toshiharu Nakai and Daniel Racoceanu (Editors), Special Issue on ONtology and COntext related MEdical image Distributed Intelligent Access, International Symposium of the 26 th Annual Meeting of Japanese Society for Medical Imaging Technology (JAMIT), Tsukuba International Convention Center, 20 Jul. 2007, Tsukuba, Japan, Medical Imaging Technology, vol.25, no.5, Nov. 2007. [pdf]

International Conferences and International Workshops with Proceedings

  1. H. Irshad, L. Roux, D. Racoceanu, Multi-channels Statistical and Morphological Features based Mitosis Detection in Breast Cancer Histopathology, EMBC 2013, International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, 3-7 July 2013. [pdf]
  2. S. U. Rigaud, C.-H. Huang, S. Ahmed, J.-H. Lim, D. Racoceanu, An Analysis-Synthesis Approach for Neurosphere Modelisation Under Phase-Contrast Microscopy, EMBC 2013, International Conference of the IEEE Engineering in Medicine and Biology Society, Japan, 3-7 July 2013. [pdf]
  3. Humayun Irshad, Ludovic Roux, Olivier Morere, Daniel Racoceanu, Gilles Le Naour, Frédérique Capron, Détection automatique et calcul du compte de mitoses sur lames H&E, RITS 2013 colloque biennal pour la Recherche en Imagerie et Technologies pour la Santé, 8-11 Apr. 2013, Bordeaux, France. [pdf]
  4. A. Veillard, S. Bressan and D. Racoceanu. SVM-based framework for the robust extraction of objects from histopathological images using color, texture, scale and geometry, ICMLA 2012, International Conference on Machine Learning and Applications, Dec. 12-15, 2012, Boca Raton, USA. [pdf]
  5. A. Veillard, D. Racoceanu and S. Bressan. pRBF kernels: a framework for the incorporation of task-specific properties into support vector methods, ICMLA2012 - 11th International Conference on Machine Learning and Applications, December 12-15, 2012, Boca Raton, Florida, USA. [pdf]
  6. H. Irshad, L. Roux, D. Racoceanu, Multi-channel Statistics features based Mitosis Detection in Histopathology, International Workshop on Pattern Recognition for Healthcare Analytics, ICPR 2012, International Conference on Pattern Recognition, Nov. 11, 2012, Tsukuba, Japan. [pdf] [poster]
  7. H. Irshad, S. Jalali, L. Roux, D. Racoceanu, J.-H. Lim, G. Le Naour, F. Capron, Automated Mitosis Detection Using Texture, SIFT Features and HMAX Biologically Inspired Approach, Histopathology Image Analysis: Image Computing in Digital Pathology – HIMA workshop, MICCAI 2012 - International Conference on Medical Image Computing and Computer Assisted Intervention, Nice, 1-5 Oct. 2012. [pdf] [poster]
  8. A. Veillard. M. Kulikova, D. Racoceanu, Cell Nuclei Extraction from Breast Cancer Histopathology Images Using Color, Texture, Scale and Shape Information, European Congress on Telepathology & International Congress on Virtual Microscopy, Venice, Italy, 6-9 June 2012. [pdf]
  9. S. U. Rigaud, N. Lomenie, S. Sankaran, S. Ahmed, J.-H. Lim, D. Racoceanu, Neurosphere fate prediction: An analysis-synthesis approach for feature extraction, IEEE WCCI 2012, IEEE World Congress On Computational Intelligence, IJCNN 2012- International Joint Conference on Neural Networks, Brisbane, Australia, June 10-15, 2012. [pdf]
  10. M. Kulikova, A. Veillard, L. Roux, D. Racoceanu, Nuclei extraction from histopathological images using a marked point process approach, SPIE Medical Imaging, 4 - 9 Feb. 2012, USA. [pdf]
  11. Chiang Hau Tay, Ramakrishnan Mukundan, Daniel Racoceanu, Multifractal Analysis of Histopathological Tissue Images, IVCNZ 2011 - Image and Vision Computing New Zealand, Nov. 29 - Dec. 1, 2011, Auckland, New-Zealand. [pdf]
  12. Antoine Veillard, Daniel Racoceanu, Stephane Bressan, Incorporating Prior-Knowledge in Support Vector Machines by Kernel Adaptation, ICTAI 2011 - IEEE International Conference on Tools with Artificial Intelligence, Nov. 7-9, 2011, Boca Raton, Florida, USA. [pdf]
  13. Gilles Le Naour, Catherine Genestie, Ludovic Roux, Antoine Veillard, Daniel Racoceanu, Frédérique Capron, Un explorateur visuel cognitif (MIcroscope COgnitif-MICO) pour l’histopathologie. Application au diagnostic et à la graduation du cancer du sein, RITS 2011, colloque pour la Recherche en Imagerie et Technologies pour la Santé, 6-8 Apr. 2011, Rennes, France. [pdf] [poster]
  14. Pierre Cagnac, Noël Di Noia, Chao-Hui Huang, Daniel Racoceanu and Laurent Chaudron, “Consciousness-driven Model for Visual Attention,” IEEE International Conference on Neural Networks - IJCNN 2011, San Jose, CA, USA, Jul. 31-Aug. 5, 2011. [pdf]
  15. Daniel Racoceanu, Nicolas Lomenie, Ludovic Roux, Cognitive virtual microscopy: a cognition-driven visual explorer for histopathology – the MICO ANR TecSan 2010 initiatiive, Institut Pasteur International Network Annual Scientific Meeting, 22–23 Nov. 2010 Hong Kong, BMC Proc. 2011; 5(Suppl 1): P77, Published online 2011 January 11. [PubMed]
  16. Antoine Veillard, Elvina Melissa, Cassandra Theodora, Daniel Racoceanu and Stephane Bressan, Support Vector Methods for Sentence Level Machine Translation Evaluation, ICTAI - IEEE International Conference on Tools with Artificial Intelligence, Oct. 27-29, 2010, Arras, France. [pdf]
  17. Antoine Veillard, Nicolas Lomenie, Daniel Racoceanu, An Exploration Scheme for Large Images: application to Breast Cancer Grading, ICPR'2010 - International Conference on Pattern Recognition, Istanbul, Turkey, August 23-26, 2010. [pdf]
  18. Chao-Hui Huang, Daniel Racoceanu, Ludovic Roux and Thomas Putti, Bio-inspired Computer Visual System using GPU and Visual Pattern Assessment Language (ViPAL): Application on Breast Cancer Prognosis, IJCNN 2010 / WCCI 2010 - International Joint Conference on Neural Networks - 2010 IEEE World Congress on Computational Intelligence, Barcelona, Spain, Jul. 18-23, 2010. [pdf]
  19. Nicolas Lomenie, Daniel Racoceanu, Ludovic Roux, The MICO platform: cognitive virtual microscopy for breast cancer grading, 10th European Congress on Telepathology and 4th International Congress on Virtual Microscopy, Vilnius, Lithuania, 1-3 July 2010.
  20. A. E. Tutac, V.I.Cretu, D. Racoceanu, Spatial Representation and Reasoning in Breast Cancer Grading Ontology, IEEE Int. Joint Conferences on Computational Cybernetics and Technical Informatics, May 27-29, 2010, pp. 89-94, ISBN: 978-1-4244-7431-8, Timisoara, Romania.
  21. Roxana Teodorescu, Daniel Racoceanu, Nicolas Smit, Vladimir Ioan Cretu, Eng King Tan, Ling-Ling Chan, Parkinson's disease prediction using diffusion-based atlas approach, SPIE Medical Imaging, Feb. 13-18, 2010, San Diego, California USA. [pdf] [slides]
  22. Jean-Romain Dalle, Hao Li, Chao-Hui Huang, Wee Kheng Leow, Daniel Racoceanu and Thomas Putti, Nuclear Pleomorphism Scoring by Selective Cell Nuclei Detection, WACV 2009 - IEEE Workshop on Applications of Computer Vision, Dec. 7-8, 2009, Snowbird, Utah, US. [pdf]
  23. Nicolas Lomenie and Daniel Racoceanu, Spatial Relationships over Sparse Representations, IVCNZ 2009 - Image and Vision Computing New Zealand, 23-25 Nov. 2009, Wellington, New-Zealand. [pdf]
  24. N. Loménie, L. Roux, D. Balensi, A. Tutac, D. Racoceanu, MICO: the COgnitive virtual MIcroscope project, COGIS’09 - COGnitive systems with Interactive Sensors, 16-18 Nov., Paris, France. [pdf] 
  25. R. O. Teodorescu, D. Racoceanu, L-L. Chan, K-O. Lovblad, H. Müller; C-H. Huang, W-K. Leow, Parkinson’s disease detection using 3D Brain MRI FA map histograms correlated with tract directions, RSNA 2009 -95th Radiological Society of North America Scientific Conference, November 29 to Dec. 4, 2009, Chicago, Illinois, USA. [slides]
  26. W. Xiong, S.H. Ong, Christina Kang, J. H. Lim, J. Liu, D. Racoceanu, K. Foong, Cell, Clumping Quantification and Automatic Area Classification in Peripheral Blood Smear Images, BMEI 2009 - 2nd International Conference on BioMedical Engineering and Informatics, Published by IEEE Computer Society, 17-19 Oct. 2009, Tianjin, China. [pdf]
  27. Ludovic Roux, Adina Tutac, Nicolas Loménie, Didier Balensi, Daniel Racoceanu, Wee-Kheng Leow, Antoine Veillard, Jacques Klossa and Thomas C. Putti, A Cognitive Virtual Microscopic Framework for Knowlege-based Exploration of Large Microscopic Images in Breast Cancer Histopathology, IEEE EMBS'09 - 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, “Engineering the Future of Biomedecine”, Sept. 2-6, 2009, pp. 3697-3702, Minneapolis, Minnesota, USA. [pdf]  
  28. Adina Eunice Tutac, Daniel Racoceanu, Nicolas Loménie, Leow Wee-Kheng, Ludovic Roux, Cretu Vladimir-Ioan, Thomas Putti, Knowledge Modeling for Breast Cancer Grading using OWL-DL formalism, The European Journal of Pathology, Springer-Verlag Berlin Heidelberg, H. Höfler ed, vol. 455, suppl.1: pp. 36, ISSN : 0945-6317 (Print) 1432-2307 (Online), Aug. 2009, 22nd European Congress of Pathology, Florence, Italy, 4-9 Sept. 2009. [pdf]
  29. Ludovic Roux, Adina Tutac, Antoine Veillard, Jean-Romain Dalle, Daniel Racoceanu, Nicolas Loménie, Jacques Klossa, A Cognitive Approach to Microscopy Analysis Applied to Automatic Breast Cancer Grading, The European Journal of Pathology, Springer-Verlag Berlin Heidelberg, H. Höfler ed, vol. 455, suppl.1, pp. 34-35, ISSN : 0945-6317 (Print) 1432-2307 (Online), Aug. 2009, 22nd European Congress of Pathology, Florence, Italy, 4-9 Sept. 2009.
  30. Chao-Hui Huang, Wee-Kheng Leow and Daniel Racoceanu, The Cellular Neural Network as a Principal Component Analyzer, IJCNN 2009 - International Joint Conference on Neural Network, pp. 1163–1170, June 14-19, 2009, Atlanta, Georgia, USA. [pdf]
  31. Adina E. Tutac, Daniel Racoceanu, Wee-Kheng Leow, Henning Müller; Thomas Putti; Vladimir Cretu, Toward Translational Incremental Similarity-Based Reasoning in Breast Cancer Grading, Proceedings SPIE Medical Imaging 2009: Computer-Aided Diagnosis, Nico Karssemeijer, Maryellen L. Giger eds, Orlando, Florida, USA, vol. 7260, 72603C, pp.1-12, ISBN : 978-0-8194-7511-4, 7-12 Feb. 2009. [pdf]  
  32. W. Xiong, S.H. Ong, J.H. Lim, N.N. Tung, J. Liu, D. Racoceanu, K. Tan, A. Chong, K. Foong, Automatic Working Area Classification in Peripheral Blood Smears Using Spatial Distribution Features Across Scales, ICPR 2008 - 19th International Conference on Pattern Recognition, Dec. 8-11, 2008, Tampa, Florida, USA. [pdf]
  33. R. O. Teodorescu, C. Cernazanu-Glavan, V. I. Cretu and D. Racoceanu, “The use of the medical ontology for a semantic-based fusion system in biomedical informatics”, In Proc. IEEE Int. Conf. on Intelligent Computer Communication and Processing, vol. 1, pp 265-268, Cluj-Napoca, Romania, Aug. 2008.  
  34. Jean-Romain Dalle, Wee Kheng Leow, Daniel Racoceanu, Adina Eunice Tutac, Thomas C. Putti, Automatic Breast Cancer Grading of Histopathological Images, IEEE EMBS 2008 - Proceedings of 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, "Personalized Healthcare through Technology", Vancouver, Canada, pp.3052-3055, ISBN: 978-1-4244-1814-5, ISSN: 1557-170X, 20-24 Aug. 2008. [pdf]  
  35. W. Xiong, J.H. Lim, S.H. Ong, N.N. Tung, J. Liu, D. Racoceanu, K. Tan, A. Chong, K. Foong, Automatic Working Area Classification in Peripheral Blood Smears without Cell Central Zone Extraction, IEEE EMBS 2008 - Proceedings of 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, "Personalized Healthcare through Technology", IEEE EMBS, Vancouver, Canada, pp.4074-4077, ISBN: 978-1-4244-1814-5, ISSN: 1557-170X, 20-24 Aug. 2008.  [pdf]
  36. Roxana - Oana Teodorescu, Vladimir–Ioan Cretu and Daniel Racoceanu, The use of Medical Ontology in a knowledge-based semantic Fusion system, IEEE Int. Joint Conferences on Computational Cybernetics and Technical Informatics, Timisoara, June 2008, Romania.
  37. Adina Eunice Tutac, Daniel Racoceanu, Thomas Putti, Wei Xiong, Wee-Kheng Leow, Vladimir Cretu, Knowledge-Guided Semantic Indexing of Breast Cancer Histopathology Images, Proceedings of 1st Conference on BioMedical Engineering and Informatics BMEI, Biomedical Engineering and Informatics: New Development and the Future, ed.Yonghong Peng & Yufeng Zhang, China , vol.2, pp. 107-112, ISBN: 978-0-7695-3118-2, 27-30 May 2008  [pdf]
  38. R. Teodorescu, D. Racoceanu, Semantic Inter-Media Fusion Design for a Content-Based Medical Image Retrieval System, JAMIIT Proceedings, ONCO_MEDIA special session in JAMIIT (Japanese Society of Medical Imaging Technology) Annual Meeting, 20th of July 2007, Tsukuba, Japan.
  39. P. Brezillon, D. Racoceanu, Context Modelling in Content-Based Medical Image Retrieval, JAMIIT Proceedings, ONCO_MEDIA special session in JAMIIT (Japanese Society of Medical Imaging Technology) Annual Meeting, 20th of July 2007, Tsukuba, Japan. [pdf]
  40. Bo QIU, Daniel RACOCEANU, Finding Image Structure by Hierarchical Segmentation, ICME 2007, IEEE International Conference on Multimedia & Expo, Beijing China, July 9-10, 2007, pp. 1419-1422. [pdf]
  41. M. J. Su, H. S. Chen, C. Y. Yang, S. J. Chen, W. J. Lee, P. H. Cheng, P. K. Yip, H. M. Liu, F. P. Lai, and D. Racoceanu, 9th IEEE International Conference on e-Health Networking, Application and Services, 19-22 June 2007, Taiwan.
  42. ONCO-MEDIA consortium (PI: Daniel Racoceanu, co-PIs: Hugues Benoit-Cattin, Patrick Brezillon, Heng-Shuen Chen, Tianzi Jiang, Serge Miguet, Henning Muller, Toshiharu Nakai, Johan Montagnat, Rafael P. Saldana, Collaborators: Ling-Ling Chan, Jean-Pierre Chevallet, Mun Kew Leong, Wee Keng Leow, Joo-Hwee Lim, Diane Lingrand, Pablo Manalastas, Brigitte Morello, Bo Qiu, Patrick Ruch, Luis F. G. Sarmenta, Shih- Chang Wang, Noureddine Zerhouni), The ONCO-MEDIA project challenges, HealthGrid 2007, 24-27 Apr. 2007, Geneva, Switzerland. [pdf]  
  43. Daniel Racoceanu, Caroline Lacoste, Roxana Teodorescu and Nicolas Vuillemenot, A Semantic Fusion Approach Between Medical Images and Reports Using UMLS, Lecture Notes in Computer Science, Springer Berlin/Heidelberg, H.T. Ng et al. (Eds.): Asian Information Retrieval Symposium, Singapore 16-18 Oct. 2006, Volume 4182/2006, ISSN 0302-9743, ISBN 978-3-540-45780-0, pp. 460–475.  [pdf]
  44. Bo Qiu , Daniel Racoceanu, Chang Sheng Xu, Qi Tian , Stripe: Image Feature Based on a New Grid Method and Its Application in ImageCLEF , Lecture Notes in Computer Science, Springer Berlin/Heidelberg, H.T. Ng et al. (Eds.): Asian Information Retrieval Symposium, Singapore 16-18 Oct. 2006, Volume 4182/2006, ISSN 0302-9743, ISBN 978-3-540-45780-0, pp. 489-496 . [pdf]  
  45. N. Palluat, D. Racoceanu, N. Zerhouni, An UML modelling of a neuro-fuzzy monitoring system. Proc. of the 16th World Congress of the International Federation of Automatic Control, IFAC'2005, 3-8 July 2005, Prague, Czech Rep. [pdf]
  46. A. Ghernaut, D. Racoceanu, N. Zerhouni, Approche duale maintenance-qualité pour la surveillance des systèmes mécatroniques, PENTOM 2005 : Performances et Nouvelles Technologies en Maintenance, 18-21 April 2005, Marrakech, Maroc.
  47. M. Monnin, D. Racoceanu, N. Zerhouni, Overview on diagnosis methods using artificial intelligence, IEEE RAM 2004 - IEEE Conference on Robotics, Automation and Mechatronics, Singapore, 1-3 Dec. 2004.  [pdf]
  48. M. Monnin, N. Palluat, D. Racoceanu, N. Zerhouni, Diagnosis Methods Using Artificial Intelligence. Application of Fuzzy Petri Nets and Neuro-Fuzzy systems, IFAC MCPL 2004 – Third Conference on Management and Control of Production and Logistics, Santiago, Chile, 3-5 Nov. 2004, pp.49-56.  [pdf]
  49. PROTEUS ITEA European Project WP2 TEAM (L. Déchamp, A. Dutech, T. Montroig, X. Qian, D. Racoceanu, I. Rasovska, P. Brézillon, F.Charpillet, J-Y. Jaffray, N. Moine, B. Morello, S. Müller, G. Nguengang, N. Palluat, L.Pelissier), On the Use of Artificial Intelligence for Prognosis and Diagnosis in the PROTEUS E-maintenance platform, IEEE Mechatronics & Robotics 2004, Aachen, Germany, E-Maintenance Special Session, Sept. 13-15, 2004. [pdf]  
  50. N. Palluat, D. Racoceanu, N. Zerhouni, Diagnosis Aid System using a Neuro-Fuzzy Approach, Intelligent Maintenance System - IMS 2004, 15-17 July 2004, Arles, France.  
  51. E. Minca, D. Racoceanu, N. Zerhouni, Fuzzy Petri nets for monitoring systems modeling, Proc. of the 2003 IEEE International Conference on Robotics & Automation, ICRA'2003, 14-19 Sept. 200 3, pp. 4318-4323, Taipei, Taiwan. [pdf]
  52. Djouak Amar, Racoceanu Daniel, Zerhouni Noureddine, Etude d'un Multicapteur Intelligent à base de Réseaux de Neurones, Conférence Internationale sur l’Automatisation Industrielle, 9-11 June 2003, Montréal, Canada. [pdf]  
  53. Racoceanu Daniel, Djaffar Ould Abdeslam , Réseaux Neuro-Flous pour la Surveillance des Systèmes, Conférence Internationale sur l’Automatisation Industrielle, 9-11 June 2003, Montréal, Canada. [pdf]
  54. R. Zemouri, D. Racoceanu, N. Zerhouni, Application of the Dynamic RBF network in a monitoring problem of production systems, IFAC 2002, 6 pages, 21-26 July 2002, Barcelone, Espagne. [pdf]
  55. R. Zemouri, D. Racoceanu, N. Zerhouni, From the spherical to an elliptic form of the dynamic RBF neural network influence field , 2002 IEEE World Congress on Computational Intelligence, International Joint Conference on Neural Networks, IEEE-WCCI/IJCNN 2002, US, 12-17 May 2002. [pdf]
  56. D. Racoceanu, N. Zerhouni, N. Addouche, Modular Modeling and Analysis of a Distributed Production System with Distant Specialised Maintenance, IEEE ICRA 2002, Proc. of the 2002 IEEE International Conference on Robotics and Automation, 11-15 mai 2002, Washington, US, pp. 4046-4052. [pdf]
  57. R. Zemouri, D. Racoceanu, N. Zerhouni, A Petri nets graphic method of reduction using birth-death processes, Proc. of the 2001 IEEE International Conference on Robotics & Automation, ICRA'2001, pp. 46-51, 21-26 May 2001, Séoul, Korea ( “Best paper Award” finalist). [pdf]
  58. D. Racoceanu ., N. Zerhouni, Use of Singular Perturbations for the Reduction of Manufacturing System Models, Proc. of the 2nd IFAC Conference on Management and Control of Production and Logistics, IFAC - MCPL’2000, pp. 352-358, 5-8 July 2000, Grenoble, France.
  59. D. Racoceanu, A. El Moudni, M. Ferney, S. Zerhouni, A near optimal control of Markov chains using discrete singular perturbations in the case of first order polynomial control. Terminal problems , IMACS-SAS’95 Conference, Berlin, Germany,, 27-29 June 1995.
  60. D. Racoceanu, A. El Moudni, S. Zerhouni, M. Ferney, Use of an homographic transformation jointly to the singular perturbation for the study of Markov chains. Application to the operational safety study, congres IEEE Robotics and Automation, San Diego, USA, 8-13 May 1994.
  61. D. Racoceanu, A. El Moudni, S. Zerhouni, M. Ferney, A Markov chain singular perturbation resolution, congres 1- Mathmod Vienna, Vienne, Austria, 2-4 February 1994.

Oral communications without proceedings

  1. Daniel Racoceanu, High content biomedical image exploration using semantic, prior shapes and modelling/synthesis approaches, CNRS-NSTDA workshop, 12-13 March 2013, Bangkok, Thailande.
  2. Daniel Racoceanu, The challenge of digital pathology: experience of the MICO (cognitive microscopy) project related to breast cancer grading, Workshop on Bioimage Informatics 2013, 23-24 Jan. 2013, Singapore
  3. MICO ANR TecSan project consortium, Digital Histopathology, Breast Cancer and WSI Exploration, Catel 2011- communication Carrefour de la Télésanté, 20 octobre 2011, Paris.
  4. Daniel Racoceanu, NUS & CNRS initiative at IPAL: Medical imaging joint researches related to Breast cancer grading and Intelligent vision system for neural stem cells tracking, 3rd NUS SoC – Vietnam Workshop, 4-5th March 2011, Hanoi University of Science & Technology, Hanoi, Vietnam.
  5. Daniel Racoceanu, IPAL-CNRS, the international joint laboratory initiative in Singapore, ICT’2010, EU-ASEAN Cooperation opportunities, Networking Session jointly organized by IPAL and SEACOOP, Bruxelles, Belgium, 27-29 September 2010.
  6. Daniel Racoceanu, Nicolas Loménie, IPAL overview - Image & Pervasive Access Lab, 7th ICT-Asia regional conférence, 15 & 16 March 2010, Keio University - Tokyo – Japan. [slides]
  7. Nicolas Loménie, Ludovic Roux, Daniel Racoceanu, Equipe Medical Image Understanding de l'IPAL, Unité Mixte Internationale du CNRS - France – Singapour, "MICO: plateforme de MIcroscopie virtuelle COgnitive", Imagerie pour la Biologie / Analyse et Traitement en Microscopie Fonctionnelle du Vivant, séminaire GDR ISIS - GDR Microscopie fonctionnelle du vivant, 16 Nov. 2009, Telecom Paris Tech, Paris, France.
  8. Adina Tutac, Daniel Racoceanu, Nicolas Loménie, Ludovic Roux, Didier Balensi and Thomas Putti, Knowledge Representation and Reasoning for Breast Cancer Grading in Cognitive Virtual Microscope Framework, A*STAR Scientific Conference 2009, 28-29 Oct. 2009, Singapore.  [pdf]
  9. Roxana Oana Teodorescu, Daniel Racoceanu, Ling Ling Chan, Prognosis of Parkinson's Disease, A*STAR Scientific Conference 2009, 28-29 Oct. 2009, Biopolis, Singapore. [pdf]
  10. A. Tutac, D. Racoceanu, N. Loménie, L. Roux, T. C. Putti and V. Cretu, “Breast Cancer Grading Knowledge Modeling and Reasoning for Cognitive Virtual Microscopy”, National Institutes of Health NIH Inter-Institute Workshop on Optical Diagnostic and Biophotonic Methods from Bench to Bedside, Bethesda, USA, 1- 2 Oct 2009.
  11. Nicolas Lomenie, Daniel Racoceanu, Medical Image Research Topics in relation to VPH EU framework, IPAL – Image & Pervasive Access Lab, 20th anniversary of ERCIM Meeting, the European Research Consortium for Informatics and Mathematics, 28 May 2009, Paris.
  12.  D. Racoceanu, Breast cancer grading in a virtual microscope platform, Third TecSan Franco-Taiwanese Biomedical Workshop, 27 March 2009, National Taiwan University, Taipei, Taiwan.
  13. D. Racoceanu, Content-based medical image retrieval and IPAL medical applications. State of the art and trends toward clinical application, 2009 France-Taiwan Seminar on Bilateral Cooperation in Health Technologies, 26 March 2009, National Kaohsiung University, Kaohsiung, Taiwan.  
  14. D. Racoceanu, Adina TUTAC, Wei XIONG, Jean-Romain DALLE, Chao-Hui HUANG, Ludovic ROUX, Wee-Kheng LEOW, Antoine VEILLARD, Joo-Hwee LIM, Thomas PUTTI, Teh MING, A virtual microscope framework for breast cancer grading, A*STAR CCO workshop in Computer Aided Diagnosis, Treatment and Prediction, Biopolis, Singapore, 15 January 2009.
  15. Jean-Romain Dalle, Daniel Racoceanu, Wee-Kheng Leow, Contribution to an Automated Breast Cancer Grading System, First International Symposium on ICT for Health - ICT4Health 2008, February 29th-1st March 2008, Ateneo de Manila University, Manila, Philippines.
  16. Patrick Brezillon, Daniel Racoceanu, Contextualized diagnosis model: Example of the breast cancer, First International Symposium on ICT for Health - ICT4Health 2008, February 29th-1st March 2008, Ateneo de Manila University, Manila, Philippines.
  17. Jiang Liu, Joo Hwee Lim, Daniel Racoceanu, Wing Kee Damon Wong, Huiqi Li, Leaking detection for Medical image segmentation, First International Symposium on ICT For Health (ICT4Health 2008), February 29th-1st March 2008, Ateneo de Manila University, Manila, Philippines.
  18. Sorina Camarasu, Hugues Benoit-Cattin, Johan Montagnat, Daniel Racoceanu, Content-Based Medical Image Indexing and Retrieval on Grids, First International Symposium on ICT For Health - ICT4Health 2008, February 29th-1st March 2008, Ateneo de Manila University, Philippines.
  19.  A. E. Tutac, D. Racoceanu, W.-K. Leow, J. R. Dalle, T. Putti, W. Xiong, V. Cretu, Translational Approach for Semi-Automatic Breast Cancer Grading Using a Knowledge-Guided Semantic Indexing of Histopathology Images, 3rd Microscopic Image Analysis with Application in Biology MIAAB Workshop, in conj. with MICCAI 2008, 11th International Conference on Medical Image Computing and Computer Assisted Intervention, New-York, USA, 6-10 Sept, 2008.  [pdf]
  20. Patrick Brezillon, Daniel Racoceanu, Contextual Approach in Image Processing. Application to cerebral MRI, ONCO-MEDIA – MIST’2007 workshop, International Medical Informatics Symposium in Taiwan, Hualien-Taipei, Wan-Fang Hospital, Taipei, Taiwan, Nov. 2007.  
  21. Daniel Racoceanu, ONtology and COntext related MEdical image Distributed Intelligent Access, first assessment of the project, the fifth ICT-Asia seminar, 18-19 november 2007, Taipei, Taiwan.
  22. Daniel Racoceanu, Jean-Romain Dalle, Bo Qiu, Ling-Ling Chan, Wee-Kheng Leow, Joo-Hwee Lim and Judy Tan Sock Pheng, Knowledge Based Approach for Stroke Diagnosis, ONCO-MEDIA – MIST’2007 workshop, International Medical Informatics Symposium in Taiwan, Hualien-Taipei, Wan-Fang Hospital, Taipei, Taiwan, Nov. 2007.
  23. D. Racoceanu, C. Lacoste, J.-H. Lim, J-P. Chevallet, and X. Wei, Bridging the Semantic Gap using a UMLS Knowledge-based Medical Image Retrieval Approach with Application on CLEF Medical Image Database, 1st Singaporean-French Biomedical Workshop, 12-13 Oct. 2006, Singapore. [pdf]
  24. C. Lacoste, J-P. Chevallet, J-H. Lim, X. Wei, D. Racoceanu, D. Le Thi Hoang, R. Teodorescu, N. Vuillenemot, IPAL Knowledge-based Medical Image Retrieval in ImageCLEFmed 2006, Cross Language Evaluation Forum 2006 International Workshop, Medical Image Track, 20-22 Sept 2006, Alicante, Spain. [pdf]
  25. C. Lacoste, J-P. Chevallet, J-H. Lim, D. Racoceanu, Medical Image Retrieval based on Knowledge-Assisted Text and Image Indexing, SBIC – Singaporean Bio-Imaging Consortium Medical Imaging Workshop, 8 Aug. 2006, Singapore. [pdf]
  26. D. Racoceanu, Fusion text/image for medical case indexing, Fourth ICT-Asia ISERE Meeting: Inter-media Semantic Extraction & Reasoning, National Institute of Informatics (NII), 5-7 juin 2006, Tokyo, Japan.
  27. D. Racoceanu, Content-Based Medical Image Retrieval – the Onco-Media project, TRUMA 2005: International Workshop on Task-Relevant Ubiquitous Media Access, associated with the Third ISERE Meeting: Inter-media Semantic Extraction & Reasoning, 18-20 décembre 2005, National Taiwan University, Taipei, Taiwan.

Other Productions

- Patents and copyrights

  1. A 3 Dimensional Tracking Method for Time-lapse Suspension Cell and Cell sphere Image Acquisition using Phase Contrast Microscopy, US Patent Application filed on November 2012.
  2. A 3 Dimensional Tracking Method for Time-lapse Suspension Cell and Cell sphere Image Acquisition using Phase Contrast Microscopy, SG Patent Application filed on the 12 August 2011, ETPL ref: BII/P/06731/00/SG.
  3. PDFibAtl@s - System for detection and prognosis of the Parkinson’s Disease using MRI DTI information fusion - CNRS copyright DL 04137-01 the international research unit UMI2955, submitted on the 16th of December 2010, approved on the 13th of May 2011.
  4. HISTOGRAD - Virtual microscope for breast cancer grading CNRS copyright Dl 2944-01 for the international research unit UMI2955, Copyright granted in June 2009 (Dépôt APP - N° d'enregistrement : IDDN.fr.001.190019.000.S.P.2010.000.20900 en date du 14 Mai 2010).
  5. Dynamic real-time monitoring system, patent filled with Em@systec France, submitted in December 2008. (Brevet déposé à l’I.N.P.I. - France - en date du 10 décembre 2008 sous le numéro de demande 0858450, numéro de soumission 1000043030, référence 8 E50 BT FR 1 de la société Em@systec).

- Invited Talks

  1. D. Racoceanu, Cognitive virtual microscopy for breast cancer grading in histopathology Whole Slide Image exploration using a symbolic cognitive vision approach, Centre de Recherche des Cordeliers, Knowledge Management team, invited talk, 8 Apr. 2013, Paris, France.
  2. D. Racoceanu, Symbolic visual approaches using prior knowledge and shapes for high content microscopic images exploration. Roadmap and perspectives inspired by a long-run french-singaporean collaboration, Inria-Sophia Antipolis, Ayin and Morpheme research groups, invited talk, 18 Feb, 2013, Sophia-Antipolis, France.
  3. D. Racoceanu, Approches cognitives symboliques connaissances/formes a priori pour l'imagerie microscopique haut contenu. Perspectives à travers des projets franco-singapouriens, invited talk, LTSI, Inserm UMR 1099 - Universitu of Rennes 1, MediCIS team, 14 Feb. 2013, Rennes, France
  4. D. Racoceanu, Approches visuelles sémantiques en histopathologie, invited talk, Unité BioTICLA - Equipe IMAGIN' Biologie et Thérapies Innovantes des Cancers Localement Agressifs EA 4656 de l'Université de Caen Basse-Normandie, IFR 146 ICORE Centre de Lutte Contre le Cancer François Baclesse, 12 Feb 2013, Caen, France
  5. D. Racoceanu, Imagerie microscopique haut débit / haut contenu et ses perspectives à travers deux applications développées dans des projets franco-singapouriens, invited talk, Research center of the Brain and Spine Institute (CRICM - Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière), 17 Oct 2012, Paris, France
  6. D. Racoceanu, Exploration d'une lame virtuelle en utilisant une approche in vitro - in silico – in cognito : Application à la gradation du cancer du sein en histopathologie, Functional Imaging Laboratory (LIF), French National Institute of Health and Medical Research (INSERM), Faculty of Medecine Pierre and Marie Curie - Site Pitié-Salpêtrière, Dec 1st, 2011, Paris, France.
  7. D. Racoceanu, Presentation of the International French-Singaporean Collaboration IPAL – Image & Pervasive Access Lab – UMI CNRS, French-Singaporean Entrepreneurships R&D Committee Opening Meeting, Invited speaker, Organized by the French Chamber of Commerce in Singapore (FCCS) & French Embassy in Singapore, 14 January 2010, Singapore.
  8. D. Racoceanu, Image Based Reasoning Systems using Medical Knowledge for Diagnosis Assistance, Invited Talk, Institute of Molecular and Cell Biology (IMCB), Biopolis, Singapore, 27 February 2008.
  9. D. Racoceanu, Monitoring Approach Using Recurrent Radial Basis Function Neural Networks and Neuro-Fuzzy Systems, Invited Talk , Department of Computer Science, School of Computing, National University of Singapore, 7 December 2005.
  10. D. Racoceanu, N. Zerhouni, Dynamic Monitoring Systems using recurrent neural Networks and neuro-Fuzzy Systems. Nemosys project; Invited Talk, Artificial Intelligence Department, Tsingua University, Beijing, China, 17 October 2005.

- International Conferences / Symposiums / Workshops organization

  1. IJCNN 2013 Special Session: "Computational Intelligence in Bioimage Informatics" (IJCNN-CIBII2013), International Joint Conference on Neural Newtorks IJCNN 2013, Dallas, TX, USA, August 4-9, 2013
  2. MITOS International Medical Benchmark: Mitosis Detection in Breast Cancer Histological Images, initiative of IPAL in collaboration with the Hôpital de la Pitié-Salpêtrière (Paris, France) in the framework of the conference ICPR 2012 - 21st International Conference on Pattern Recognition, 11-15 Nov., 2012, Tsukuba, Japan.
  3. Special Session : "Consciousness-driven vision: toward a breakthrough in bio-inspired computer vision", 31 July – 5 August 2011, IJCNN 2011 - International Joint Conference on Neural Networks - 2011, San José, California, US.
  4. SFBI 2011 – Singaporean - French BioImaging Seminar 2011, 24-25 February. 2011, Biopolis, Singapore, [SFBI2011] (Keynote – Mathias Fink, ESPC, France)
  5. ICT’2010, EU-ASEAN Cooperation opportunities, Networking Session jointly organized by IPAL and SEACOOP, Bruxelles, Belgium, 27-29 September 2010.
  6. Image Understanding - an important step toward Visual Cognition, WCCI 2010 - 2010 IEEE World Congress on Computional Intelligence, Special Session, Chairs: Daniel Racoceanu and Chao-Hui Huang, 18-23 July, 2010, Barcelona, Spain.
  7. SinFra’2009 - Singaporean-French IPAL Symposium, 18–20 February 2009, Fusionopolis, Singapore - Tutorials and Scientific Sessions, D. Racoceanu, J.H Lim, W.K. Leow, General Chairs, [SinFra09] (Keynote - Joseph Sifakis, 2007 ACM Turing award winner)
  8. “Ontology and Context Related Medical Image Distributed Intelligent Access” - ONCO-MEDIA special session at the JAMIT (Japanese Society of Medical Imaging Technology) Annual Meeting, 20th of July 2007, Tsukuba, Japan, organizers: Toshiharu Nakai & Daniel Racoceanu.
  9. Special Session - Medical Image Retrieval - AIRS 2006 – Asian Information Retrieval Symposium, 18 Oct. 2006, Singapore, organizers – D. Racoceanu IPAL France/Singapore, publications issued in Lecture Notes for Computer Science (LNCS)
  10. SFBI’06 - 1st Singaporean-French Biomedical Imaging workshop, 12-13 October 2006, Biopolis, Singapore, Organizing Committee Chairs: D. Racoceanu, Hugues Benoît-Cattin (CREATIS), organized by IPAL, SBIC (Singapore BioImaging Consortium), CREATIS/INSA Lyon, [SFBI 2006]

- National and Regional Communications and Disseminations

  1. IPAL Four more years for the French-Singaporean lab IPAL, CNRS International Magazine, CNRS international magazine, No.22, July 2011. [link] [full magazine]
  2. Le laboratoire franco-singapourien poursuit son essor, Journal du CNRS, no 256, May 2011, pp. 33 [link]
  3. IPAL: A Decade-Long Success Story, FCCS Focus Magazine, French Chamber of Commerce, Singapore, a Living Lab, summer 2010, pp. 22,23 [pdf], [full magazine]
  4. Singapore, New Research Hub, Around the world, Horizons, CNRS International Magazine n° 18 July 2010, pp. 34 [link]

- Miscellaneous

  1. IPAL in the success stories showcase of the SECAS EU project [Flyer] [URL] funded by the European Commission under the FP7 ICT program; SECAS is coordinated by Eutema, a research consultancy from Austria. Other partners include Optimat (UK), National ICT Australia (NICTA) and the Singapore Management University (SMU).