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Number of documents

43

Medical / Biomedical Image and Data Analyitics


Journal articles19 documents

  • Ryad Zemouri, Noureddine Zerhouni, Daniel Racoceanu. Deep Learning in the Biomedical Applications: Recent and Future Status. Applied Sciences, MDPI, 2019, 9 (8), pp.1526. ⟨10.3390/app9081526⟩. ⟨hal-02170880⟩
  • Gabriel Jiménez, Daniel Racoceanu. Deep Learning for Semantic Segmentation vs. Classification in Computational Pathology: Application to Mitosis Analysis in Breast Cancer Grading. Frontiers in Bioengineering and Biotechnology, Frontiers, 2019, 7, pp.145. ⟨10.3389/fbioe.2019.00145⟩. ⟨hal-02182488⟩
  • Monjoy Saha, Chandan Chakraborty, Daniel Racoceanu. Efficient deep learning model for mitosis detection using breast histopathology images. Computerized Medical Imaging and Graphics, Elsevier, 2018, 64, pp.29-40. ⟨10.1016/j.compmedimag.2017.12.001⟩. ⟨hal-03140981⟩
  • Jean-Baptiste Yunès, Daniel Racoceanu, David Ameisen, A. Veillard, B. Ben Cheikh, et al.. Towards Efficient Collaborative Digital Pathology: A Pioneer Initiative Of The FlexMIm Project. the diagnostic pathology journal, 2016. ⟨hal-02419474⟩
  • Sreetama Basu, Wei Tsang Ooi, Daniel Racoceanu. Neurite Tracing With Object Process. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2016, 35 (6), pp. 1443-1451. ⟨10.1109/TMI.2016.2515068⟩. ⟨hal-01366490⟩
  • Daniel Racoceanu, Frédérique Capron. Semantic Integrative Digital Pathology: Insights on Microsemiological Semantics and Image Analysis Scalability. Pathobiology, Karger, 2016, 83 (2-3), pp.148-155. ⟨10.1159/000443964⟩. ⟨hal-01365808⟩
  • K. Traore, C. Daniel, M.-C. Jaulent, T. Schrader, Daniel Racoceanu, et al.. Sustainable Formal Representation Of Breast Cancer Grading Histopathological Knowledge. Diagnostic Pathology, BioMed Central, 2016, 9 (1), ⟨10.17629/www.diagnosticpathology.eu-2016-8:154⟩. ⟨hal-01366742⟩
  • Daniel Racoceanu, F Capron. Towards semantic-driven high-content image analysis: An operational instantiation for mitosis detection in digital histopathology. Computerized Medical Imaging and Graphics, Elsevier, 2015, 42, pp.2-15. ⟨10.1016/j.compmedimag.2014.09.004⟩. ⟨hal-01139965⟩
  • Fagette Antoine, Nicolas Courty, Daniel Racoceanu, Jean-Yves Dufour. Unsupervised dense crowd detection by multiscale texture analysis. Pattern Recognition Letters, Elsevier, 2013, pp.1-27. ⟨hal-00904210⟩
  • Nicolas Loménie, Daniel Racoceanu. Point Sets Morphological Filtering and Semantic Spatial Configurations Modeling: application to microscopic image analysis. Pattern Recognition, Elsevier, 2012, 45 (8), pp.2894-2911. ⟨10.1016/j.patcog.2012.01.021⟩. ⟨hal-00873430⟩
  • Mounir Mokhtari, Hamdi Aloulou, Thibaut Tiberghien, Jit Biswas, Daniel Racoceanu, et al.. New Trends to Support Independence in Persons with Mild Dementia-A Mini-Review. Gerontology, Karger, 2012, pp.10.1159/000337827. ⟨hal-00739829⟩
  • Adrien Depeursinge, Daniel Racoceanu, Jimison Iavindrasana, Gilles Cohen, Alexandra Platon, et al.. Fusing Visual and Clinical Information for Lung Tissue Classification in HRCT Data. Artificial Intelligence in Medicine, Elsevier, 2010, pp.ARTMED1118. ⟨hal-00493108⟩
  • Chao-Hui Huang, Antoine Veillard, Nicolas Lomenie, Daniel Racoceanu, Ludovic Roux. Time-efficient sparse analysis of histopathological Whole Slide Images. Computerized Medical Imaging and Graphics, Elsevier, 2010, pp.5. ⟨hal-00553877⟩
  • Wei Xiong, S.H. Ong, Joo-Hwee Lim, Kelvin Foong Weng Chiong, Jiang Liu, et al.. Automatic Working Area Classification in Peripheral Blood Smears. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2010, 57 (8), pp.1982-1990. ⟨hal-00553282⟩
  • Nicolas Palluat, Daniel Racoceanu, Noureddine Zerhouni. A neuro-fuzzy monitoring system. Application to flexible production systems.. Computers in Industry, Elsevier, 2006, 57 (6), pp.528-538. ⟨10.1016/j.compind.2006.02.013⟩. ⟨hal-00263918⟩
  • Ryad Zemouri, Daniel Racoceanu, Nourredine Zerhouni. Réseaux de neurones récurrents à fonctions de base radiales : RRFR Application au pronostic. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2003, 16 (3), pp.307-338. ⟨10.3166/ria.16.307-338⟩. ⟨hal-02479188⟩
  • Ryad Zemouri, Daniel Racoceanu, Nourredine Zerhouni. Réseaux de neurones récurrents à fonctions de base radiales. Application à la surveillance dynamique. Journal Européen des Systèmes Automatisés (JESA), Lavoisier, 2003, 37 (1), pp.49-81. ⟨10.3166/jesa.37.49-81⟩. ⟨hal-02479204⟩
  • Ryad Zemouri, Daniel Racoceanu, Noureddine Zerhouni. Recurrent radial basis function network for time-series prediction. Engineering Applications of Artificial Intelligence, Elsevier, 2003, 16 (5-6), pp.453-463. ⟨10.1016/S0952-1976(03)00063-0⟩. ⟨hal-02479206⟩
  • Ryad Zemouri, Racoceanu Daniel, Zerhouni Noureddine. APPLICATION OF THE DYNAMIC RBF NETWORK IN A MONITORING PROBLEM OF THE PRODUCTION SYSTEMS. IFAC Proceedings Volumes, Elsevier, 2002, 35 (1), pp.295-300. ⟨10.3182/20020721-6-ES-1901.01602⟩. ⟨hal-02479197⟩

Conference papers15 documents

  • Chao-Hui Huang, Daniel Racoceanu. Enhanced Methods for Lymphocyte Detection and Segmentation on H&E Stained Images using eXclusive Autoencoders. EMBC'20 - 42nd Engineering in Medicine and Biology Conference, Jul 2020, Montreal / Virtual, Canada. ⟨hal-03140992⟩
  • Oumeima Laifa, Delphine Le Guillou-Buffello, Daniel Racoceanu. Tumor angiogenesis assessment using multi-fluorescent scans on murine slices by Markov Random Field framework. SIPAIM, 2017, San Andres Island - Colombia, Colombia. ⟨hal-01615267⟩
  • Daniel Salas, Jens Gustedt, Daniel Racoceanu, Isabelle Perseil. Resource-Centered Distributed Processing of Large Histopathology Images. 19th IEEE International Conference on Computational Science and Engineering, Aug 2016, Paris, France. ⟨hal-01325648⟩
  • Bassem Ben Cheikh, Philippe Bertheau, Daniel Racoceanu. Preliminary approach for crypt detection in Inflammatory Bowel Disease. Journées RITS 2015, Mar 2015, Dourdan, France. pp.138-139. ⟨inserm-01144091⟩
  • Stéphane Rigaud, Chao-Hui Huang, Sohail Ahmed, Joo-Hwee Lim, Daniel Racoceanu. An analysis-synthesis approach for neurosphere modelisation under phase-contrast microscopy. 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 2013, Osaka, France. pp.3989-3992, ⟨10.1109/EMBC.2013.6610419⟩. ⟨hal-02626861⟩
  • Stéphane Rigaud, Nicolas Loménie, Shvetha Sankaran, Sohail Ahmed, Joo-Hwee Lim, et al.. Neurosphere fate prediction: An analysis-synthesis approach for feature extraction. 2012 International Joint Conference on Neural Networks (IJCNN 2012 - Brisbane), Jun 2012, Brisbane, Australia. pp.1-7, ⟨10.1109/IJCNN.2012.6252628⟩. ⟨hal-02626907⟩
  • Gilles Le Naour, Catherine Genestie, Ludovic Roux, Antoine Veillard, Daniel Racoceanu, et al.. Un explorateur visuel cognitif (MIcroscope COgnitif - MICO) pour l'histopathologie. Application au diagnostic et à la graduation du cancer du sein.. RITS 2011, Recherche en Imagerie et Technologies pour la Santé, Apr 2011, Rennes, France. pp.119. ⟨hal-00663408⟩
  • Nicolas Lomenie, Daniel Racoceanu. Spatial Relationships over Sparse Representations. Spatial Relationships over Sparse Representations, IVCNZ 2009 - Image and Vision Computing, Nov 2010, Wellington, New Zealand. ⟨hal-00497811⟩
  • Ryad Zemouri, Daniel Racoceanu, Noureddine Zerhouni, Eugénia Minca, Florin Filip. Training the Recurrent neural network by the Fuzzy Min-Max algorithm for fault prediction. Intelligent systems and automation: 2nd Mediterranean Conference on Intelligent Systems and Automation (CISA’09), Mar 2009, Zarzis (Tunisia), France. pp.85-90, ⟨10.1063/1.3106518⟩. ⟨hal-02479235⟩
  • Adina Tutac, Daniel Racoceanu, Thomas Putti, Wei Xiong, Wee-Kheng Leow, et al.. Knowledge-Guided Semantic Indexing of Breast Cancer Histopathology Images. BMEI2008, International Conference on BioMedical Engineering and Informatics, May 2008, Sanya, Hainan, China. ⟨hal-00342275⟩
  • Sorina Camarasu-Pop, H. Benoit-Cattin, J. Montagnat, D. Racoceanu. Grids for Content-Based Medical Image Indexing and Retrieval. ICT4Health, Oncomedia, 2008, Manila, The, Philippines. ⟨hal-01950484⟩
  • Eugénia Minca, Daniel Racoceanu, Florin Dragomir, Noureddine Zerhouni. A fuzzy approach for discrete event systems recovery.. IFAC - International Federation of Automatic Control. 4th IFAC Conference on Management and Control of Production and Logistics, MCPL'2007., Sep 2007, Sibiu, Romania. pp.585-590. ⟨hal-00189140⟩
  • Caroline Lacoste, Jean-Pierre Chevallet, Joo-Hwee Lim, Wei Xiong, Daniel Raccoceanu, et al.. IPAL Knowledge-based Medical Image Retrieval in ImageCLEFmed 2006. Working Notes for the CLEF 2006 Workshop, 20-22 September Medical Image Track, 2006, Alicante, Spain. ⟨hal-00954109⟩
  • Ryad Zemouri, D. Racoceanu, N. Zerhouni. From the spherical to an elliptic form of the dynamic RBF neural network influence field. 2002 International Joint Conference on Neural Networks (IJCNN), May 2002, Honolulu, United States. pp.107-112, ⟨10.1109/IJCNN.2002.1005452⟩. ⟨hal-02479186⟩
  • Ryad Zemouri, D. Racoceanu, N. Zerhouni. A Petri nets graphic method of reduction using birth-death processes. 2001 ICRA. IEEE International Conference on Robotics and Automation, May 2001, Seoul, South Korea. pp.46-51, ⟨10.1109/ROBOT.2001.932528⟩. ⟨hal-02479177⟩

Directions of work or proceedings7 documents

  • Anne L Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria Zuluaga, et al.. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part II (image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applications; generative adversarial networks). 2020. ⟨hal-03144838⟩
  • Anne L Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria Zuluaga, et al.. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I (machine learning methodologies). 2020. ⟨hal-03144837⟩
  • Anne L Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria Zuluaga, et al.. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part III (CAI applications; image registration; instrumentation and surgical phase detection; navigation and visualization; ultrasound imaging; video image analysis). 2020. ⟨hal-03144839⟩
  • Anne L Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria Zuluaga, et al.. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V (biological, optical, microscopic imaging; cell segmentation and stain normalization; histopathology image analysis; opthalmology). 2020. ⟨hal-03144842⟩
  • Anne L Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria Zuluaga, et al.. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part IV (segmentation; shape models and landmark detection). 2020. ⟨hal-03144840⟩
  • Anne L Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria Zuluaga, et al.. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VII (brain development and atlases; DWI and tractography; functional brain networks; neuroimaging; positron emission tomography). 2020. ⟨hal-03144845⟩
  • Anne L Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria Zuluaga, et al.. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part VI (angiography and vessel analysis; breast imaging; colonoscopy; dermatology; fetal imaging; heart and lung imaging; musculoskeletal imaging). 2020. ⟨hal-03144844⟩

Preprints, Working Papers, ...1 document

  • Roxana Teodorescu, Daniel Racoceanu, Wee-Kheng Leow, Vladimir Cretu. Prospective Study for Semantic Inter-Media Fusion in Content-Based Medical Image Retrieval. 2008. ⟨hal-00342276⟩

Habilitation à diriger des recherches1 document

  • Daniel Racoceanu. Contribution à la Surveillance des Systèmes de Production en Utilisant l'Intelligence Artificielle. Automatique / Robotique. Université de Franche-Comté, 2006. ⟨tel-00011708⟩