Publications



Liste des publications

  1. C. Desir (2013). Classification Automatique d'Images, Application à l'Imagerie du Poumon Profond (Doctoral dissertation, Université de Rouen). [pdf][tel/hal-archives]
  2. C. Desir, S. Bernard, C. Petitjean, and L. Heutte, Oneclass Random Forest, Pattern Recognition, 2013, 10.1016/j.patcog.2013.05.022 [pdf]
  3. C. Desir, S. Bernard, C. Petitjean, L. Heutte. A new random forest method for one class classification, IAPR International Workshop on Statistical Techniques in Pattern Recognition, SPR 2012, Hiroshima, Japan, November 2012 [pdf]
  4. C. Desir, S. Bernard, C. Petitjean, and L. Heutte. A random forest based approach for one-class classification in medical imaging, 3rd MICCAI International Workshop on Machine Learning in Medical Imaging, MLMI 2012 Nice, France, LNCS 57588, pp 250-257, 2012 [pdf]
  5. C. Desir, C. Petitjean, L. Heutte, M. Salaün, L. Thiberville, Classification of endomicroscopic images of the lung based on random subwindows and extra-trees,  IEEE Transactions on Biomedical Engineering, in press, 2012 [pdf]
  6. C. Desir, C. Petitjean, L. Heutte, M. Salaun, and L. Thiberville. An svm distal lung image classification using texture descriptors. Computerized Medical Imaging and Graphics, Volume 36, pp. 264-270, 2012 [pdf]
  7. D. Hebert, C. Desir, C. Petitjean, L. Heutte, L. Thiberville, Detection of pathological condition in distal lung images, Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, 2012 [pdf]
  8. C. Desir, C. Petitjean, L. Heutte, L. Thiberville, Using a priori knowledge to classify in vivo images of the lung, ICIC 2010, LNAI 6216, p. 207-212, Changsha, China, August 2010 [pdf]
  9. B. Lelandais, C. Desir, C. Petitjean, L. Heutte, L. Thiberville, Classification d’images alvéoscopiques par extra-trees, Reconnaissance des Formes et Intelligence Artificielle, France, January 2010 [pdf]
  10. A. Saint-Requier, B. Lelandais, C. Petitjean, C. Desir, and L. Heutte. Characterization of endomicroscopic images of the distal lung for computer-aided diagnosis. In International Conference on Intelligent Computing, Ulsan, South Korea, volume 5754 of Lecture Notes in Computer Science, pages 994-1003. Springer, 2009 [pdf]
  11. C. Petitjean, C. Desir, M. Salaun, L. Thiberville, and L. Heutte. Automatic classification of in vivo distal lung images for computer-aided diagnosis. In Proceedings of Medical Image Understanding and Analysis (MIUA), pp 99-103, Kingston, UK, 2009 [pdf]


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