All Stories

  1. Preface

    Article • Computerized Medical Imaging and Graphics, November 2017, Elsevier

    Professor Daniel Racoceanu

  2. Spatial interaction analysis with graph based mathematical morphology for histopathology

    Article • April 2017, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  3. Automated high-grade prostate cancer detection and ranking on whole slide images

    Article • March 2017, SPIE

    Professor Daniel Racoceanu

  4. A model of tumor architecture and spatial interactions with tumor microenvironment in breast carcinoma

    Article • March 2017, SPIE

    Professor Daniel Racoceanu

  5. Comparison of semi-automated and manual methods to measure the volume of prostate cancer on magnetic resonance imaging

    Article • Diagnostic and Interventional Imaging, March 2017, Elsevier

    Professor Daniel Racoceanu

  6. Gland segmentation in colon histology images: The glas challenge contest

    Article • Medical Image Analysis, January 2017, Elsevier

    Professor Daniel Racoceanu

  7. Neurite Tracing With Object Process

    Article • IEEE Transactions on Medical Imaging, June 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  8. Semantic Integrative Digital Pathology: Microsemiological Semantics and Image Analysis Scalability

    Article • Pathobiology, April 2016, Karger Publishers

    Professor Daniel Racoceanu

  9. A structure-based approach for colon gland segmentation in digital pathology

    Article • March 2016, SPIE

    Professor Daniel Racoceanu

  10. Breakthrough Technologies in Digital Pathology

    Article • Computerized Medical Imaging and Graphics, June 2015, Elsevier

    Professor Daniel Racoceanu

  11. Towards semantic-driven high-content image analysis: An operational instantiation for mitosis detection in digital histopathology

    Article • Computerized Medical Imaging and Graphics, June 2015, Elsevier

    Professor Daniel Racoceanu

  12. Statistically Representative Cloud of Particles for Crowd Flow Tracking

    Article • January 2015, Springer Science + Business Media

    Professor Daniel Racoceanu

  13. Reconstructing neuronal morphology from microscopy stacks using fast marching

    Article • October 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  14. Multispectral band selection and spatial characterization: Application to mitosis detection in breast cancer histopathology

    Article • Computerized Medical Imaging and Graphics, July 2014, Elsevier

    Professor Daniel Racoceanu

  15. Unsupervised dense crowd detection by multiscale texture analysis

    Article • Pattern Recognition Letters, July 2014, Elsevier

    Professor Daniel Racoceanu

  16. Improved marked point process priors for single neurite tracing

    Article • June 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  17. Spectral band selection for mitosis detection in histopathology

    Article • April 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  18. Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential

    Article • IEEE Reviews in Biomedical Engineering, January 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  19. An analysis-synthesis approach for neurosphere modelisation under phase-contrast microscopy

    Article • July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  20. Multi-channels statistical and morphological features based mitosis detection in breast cancer histopathology

    Article • July 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  21. Automated mitosis detection using texture, SIFT features and HMAX biologically inspired approach

    Article • Journal of Pathology Informatics, January 2013, Medknow

    Professor Daniel Racoceanu

  22. Cell nuclei extraction from breast cancer histopathologyimages using colour, texture, scale and shape information

    Article • Diagnostic Pathology, January 2013, Springer Science + Business Media

    Professor Daniel Racoceanu

  23. A Stochastic Model for Automatic Extraction of 3D Neuronal Morphology

    Article • January 2013, Springer Science + Business Media

    Professor Daniel Racoceanu

  24. Mitosis detection in breast cancer histological images An ICPR 2012 contest

    Article • Journal of Pathology Informatics, January 2013, Medknow

    Professor Daniel Racoceanu

  25. SVM-based Framework for the Robust Extraction of Objects from Histopathological Images Using Color, Texture, Scale and Geometry

    Article • December 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  26. pRBF Kernels: A Framework for the Incorporation of Task-Specific Properties into Support Vector Methods

    Article • December 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  27. Point set morphological filtering and semantic spatial configuration modeling: Application to microscopic image and bio-structure analysis

    Article • Pattern Recognition, August 2012, Elsevier

    Professor Daniel Racoceanu

  28. Online 3-D Tracking of Suspension Living Cells Imaged with Phase-Contrast Microscopy

    Article • IEEE Transactions on Biomedical Engineering, July 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  29. Neurosphere fate prediction: An analysis-synthesis approach for feature extraction

    Article • June 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  30. Nuclei extraction from histopathological images using a marked point process approach

    Article • February 2012, SPIE

    Professor Daniel Racoceanu

  31. Advances in Bio-Imaging: From Physics to Signal Understanding Issues

    Article • January 2012, Springer Science + Business Media

    Professor Daniel Racoceanu

  32. Ontology-Enhanced Vision System for New Microscopy Imaging Challenges

    Article • January 2012, Springer Science + Business Media

    Professor Daniel Racoceanu

  33. New Trends to Support Independence in Persons with Mild Dementia – A Mini-Review

    Article • Gerontology, January 2012, Karger Publishers

    Professor Daniel Racoceanu

  34. Incorporating Prior-Knowledge in Support Vector Machines by Kernel Adaptation

    Article • November 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  35. Time-efficient sparse analysis of histopathological whole slide images

    Article • Computerized Medical Imaging and Graphics, October 2011, Elsevier

    Professor Daniel Racoceanu

  36. Point Set Analysis: An Image Analysis Point of View for Rapid Prototyping Technologies

    Article • September 2011, IntechOpen

    Professor Daniel Racoceanu

  37. Consciousness-driven model for visual attention

    Article • July 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  38. Parkinson's Disease Diagnosis and Prognosis Using Diffusion Tensor Medical Imaging Features Fusion

    Article • January 2011, IntechOpen

    Professor Daniel Racoceanu

  39. Cognitive virtual microscopy: a cognition-driven visual explorer for histopathology – the MICO ANR TecSan 2010 initiative

    Article • BMC Proceedings, January 2011, Springer Science + Business Media

    Professor Daniel Racoceanu

  40. Support Vector Methods for Sentence Level Machine Translation Evaluation

    Article • October 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  41. Fusing visual and clinical information for lung tissue classification in high-resolution computed tomography

    Article • Artificial Intelligence in Medicine, September 2010, Elsevier

    Professor Daniel Racoceanu

  42. An Exploration Scheme for Large Images: Application to Breast Cancer Grading

    Article • August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  43. Automatic Area Classification in Peripheral Blood Smears

    Article • IEEE Transactions on Biomedical Engineering, August 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  44. Bio-inspired computer visual system using GPU and Visual Pattern Assessment Language (ViPAL): Application on breast cancer prognosis

    Article • July 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  45. Medical Image Intelligent Access Integrated with Electronic Medical Records System for Brain Degenerative Disease

    Article • April 2010, IntechOpen

    Professor Daniel Racoceanu

  46. Parkinson's disease prediction using diffusion-based atlas approach

    Article • March 2010, SPIE

    Professor Daniel Racoceanu

  47. Spatial representation and reasoning in breast cancer grading ontology

    Article • January 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  48. Predictive modelling of the monitoring function. A predictive modelling application for fault states in a manufacturing system

    Article • December 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  49. Spatial relationships over sparse representations

    Article • November 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  50. A cognitive virtual microscopic framework for knowlege-based exploration of large microscopic images in breast cancer histopathology

    Article • September 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  51. A Cellular Neural Network as a Principal Component Analyzer

    Article • June 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  52. Toward translational incremental similarity-based reasoning in breast cancer grading

    Article • February 2009, SPIE

    Professor Daniel Racoceanu

  53. Emergent Behavior Control Patterns in Robotic Collectives

    Article • January 2009, Springer Science + Business Media

    Professor Daniel Racoceanu

  54. Cell Clumping Quantification and Automatic Area Classification in Peripheral Blood Smear Images

    Article • January 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  55. Training the Recurrent neural network by the Fuzzy Min-Max algorithm for fault prediction

    Article • January 2009, American Institute of Physics

    Professor Daniel Racoceanu

  56. Automatic working area classification in peripheral blood smears using spatial distribution features across scales

    Article • December 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  57. Automatic breast cancer grading of histopathological images

    Article • August 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  58. The use of the medical ontology for a semantic-based fusion system in biomedical informatics Application to Alzheimer disease

    Article • August 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  59. Automatic working area classification in peripheral blood smears without cell central zone extraction

    Article • August 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  60. Knowledge-Guided Semantic Indexing of Breast Cancer Histopathology Images

    Article • May 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  61. Ontology for fMRI as a Biomedical Informatics Method

    Article • Magnetic Resonance in Medical Sciences, January 2008, Japanese Society for Magnetic Resonance in Medicine

    Professor Daniel Racoceanu

  62. A FUZZY APPROACH FOR DISCRETE EVENT SYSTEMS RECOVERY

    Article • IFAC Proceedings Volumes, September 2007, Elsevier

    Professor Daniel Racoceanu

  63. Finding Image Structure by Hierarchal Segmentation

    Article • July 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  64. A Preliminary Study of Medical Image Distributed Intelligent Access Integrated with Electronic Medical Records System for Brain Degenerative Disease

    Article • June 2007, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  65. Inter-media Concept-Based Medical Image Indexing and Retrieval with UMLS at IPAL

    Article • January 2007, Springer Science + Business Media

    Professor Daniel Racoceanu

  66. A neuro-fuzzy monitoring system

    Article • Computers in Industry, August 2006, Elsevier

    Professor Daniel Racoceanu

  67. A Semantic Fusion Approach Between Medical Images and Reports Using UMLS

    Article • January 2006, Springer Science + Business Media

    Professor Daniel Racoceanu

  68. Stripe: Image Feature Based on a New Grid Method and Its Application in ImageCLEF

    Article • January 2006, Springer Science + Business Media

    Professor Daniel Racoceanu

  69. Utilisation des réseaux de neurones temporels pour le pronostic et la surveillance dynamique. Etude comparative de trois réseaux de neurones récurrents

    Article • Revue d intelligence artificielle, December 2005, Lavoisier

    Professor Daniel Racoceanu

  70. AN UML MODELLING OF A NEURO-FUZZY MONITORING SYSTEM

    Article • IFAC Proceedings Volumes, January 2005, Elsevier

    Professor Daniel Racoceanu

  71. Recurrent radial basis function network for time-series prediction

    Article • Engineering Applications of Artificial Intelligence, August 2003, Elsevier

    Professor Daniel Racoceanu

  72. Réseaux de neurones récurrents à fonctions de base radiales. Application à la surveillance dynamique

    Article • Journal Européen des Systèmes Automatisés, January 2003, Lavoisier

    Professor Daniel Racoceanu

  73. Réseaux de neurones récurrents à fonctions de base radiales : RRFR Application au pronostic

    Article • Revue d intelligence artificielle, June 2002, Lavoisier

    Professor Daniel Racoceanu

  74. APPLICATION OF THE DYNAMIC RBF NETWORK IN A MONITORING PROBLEM OF THE PRODUCTION SYSTEMS

    Article • IFAC Proceedings Volumes, January 2002, Elsevier

    Professor Daniel Racoceanu

  75. Use of Singular Perturbations for the Reduction of Manufacturing System Models

    Article • IFAC Proceedings Volumes, July 2000, Elsevier

    Professor Daniel Racoceanu

  76. On a new method of Markov chain reduction

    Article • Mathematical Modelling of Systems, January 1995, Taylor & Francis

    Professor Daniel Racoceanu

  77. Fuzzy Petri nets for monitoring and recovery

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  78. Monitoring Approach Using Recurrent Radial Basis Function Neural Networks and Neuro-Fuzzy Systems

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  79. Overview on diagnosis methods using artificial intelligence application of fuzzy Petri nets

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  80. Modular modeling and analysis of a distributed production system with distant specialised maintenance

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  81. From the spherical to an elliptic form of the dynamic RBF neural network influence field

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  82. A Petri nets graphic method of reduction using birth-death processes

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu

  83. Use of an homographic transformation jointly to the singular perturbation for the resolution of Markov chains. Application to the operational safety study

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Professor Daniel Racoceanu