Keywords

Number of documents

103

Caroline Petitjean


Journal articles38 documents

  • P J Sudharshana, Caroline Petitjean, Fabio Spanhol, Luís Oliveira, Laurent Heutte, et al.. Multiple Instance Learning for Histopathological Breast Cancer Images. Expert Systems With Applications, 2019, 117, pp.103-111. ⟨hal-01965039⟩
  • Roger Trullo, Caroline Petitjean, Bernard Dubray, Su Ruan. Multiorgan segmentation using distance-aware adversarial networks. Journal of Medical Imaging, SPIE Digital Library, 2019, 6 (01), pp.1. ⟨10.1117/1.JMI.6.1.014001⟩. ⟨hal-02087867⟩
  • Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, et al.. Medical Image Synthesis with Deep Convolutional Adversarial Networks. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2018, 65 (12), pp.2720-2730. ⟨10.1109/TBME.2018.2814538⟩. ⟨hal-02054415⟩
  • Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, et al.. Medical Image Synthesis with Context-Aware Generative Adversarial Networks. Medical image computing and computer-assisted intervention : MICCAI .. International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, 2017, 10435, pp.417-425. ⟨10.1007/978-3-319-66179-7_48⟩. ⟨hal-02054406⟩
  • Violeta Chang, Laurent Heutte, Caroline Petitjean, Steffen Härtel, Nancy Hitschfeld. Automatic classification of human sperm head morphology. Computers in Biology and Medicine, Elsevier, 2017, 84, pp.205-216. ⟨10.1016/j.compbiomed.2017.03.029⟩. ⟨hal-02113827⟩
  • Samia Ainouz, Caroline Petitjean, Abdelaziz Bensrhair. Specularity removal: a global energy minimization approach based on polarization imaging. Computer Vision and Image Understanding, Elsevier, 2017. ⟨hal-01665341⟩
  • Fan Wang, Samia Ainouz, Caroline Petitjean, Abdelaziz Bensrhair. Specularity removal: a global energy minimization approach based on polarization imaging. Computer Vision and Image Understanding, Elsevier, 2017. ⟨hal-02114528⟩
  • Sovann En, Stéphane Nicolas, Caroline Petitjean, Frédéric Jurie, Laurent Heutte. New public dataset for spotting patterns in medieval document images. Journal of Electronic Imaging, SPIE and IS&T, 2017, 26 (1), pp.011010. ⟨10.1117/1.JEI.26.1.011010⟩. ⟨hal-02113967⟩
  • Arturo Mendoza Quispe, Caroline Petitjean, Laurent Heutte. Extreme learning machine for out-of-sample extension in Laplacian eigenmaps. Pattern Recognition Letters, Elsevier, 2016, 74, pp.68-73. ⟨10.1016/j.patrec.2016.01.024⟩. ⟨hal-02113888⟩
  • Sovann En, Caroline Petitjean, Stephane Nicolas, Laurent Heutte. A scalable pattern spotting system for historical documents. Pattern Recognition, Elsevier, 2016, 54, pp.149-161. ⟨10.1016/j.patcog.2016.01.014⟩. ⟨hal-02116648⟩
  • P. Desbordes, C. Petitjean, S. Ruan. Segmentation of lymphoma tumor in PET images using cellular automata: A preliminary study. IRBM, Elsevier Masson, 2016, 37 (1), pp.3-10. ⟨10.1016/j.irbm.2015.11.001⟩. ⟨hal-02113992⟩
  • Fabio Spanhol, Luiz Oliveira, Caroline Petitjean, Laurent Heutte. A Dataset for Breast Cancer Histopathological Image Classification. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2016, 63 (7), pp.1455-1462. ⟨10.1109/TBME.2015.2496264⟩. ⟨hal-02113843⟩
  • Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan. Robust feature selection to predict tumor treatment outcome. Artificial Intelligence in Medicine, Elsevier, 2015, 64 (3), pp.195 - 204. ⟨10.1016/j.artmed.2015.07.002⟩. ⟨hal-01648103⟩
  • Hongmei Mi, Caroline Petitjean, Pierre Vera, Su Ruan. Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images.. Medical Image Analysis, Elsevier, 2015, 23 (1), pp.84-91. ⟨hal-01158896⟩
  • Caroline Petitjean, Maria A Zuluaga, Wenjia Bai, Jean-Nicolas Dacher, Damien Grosgeorge, et al.. Right ventricle segmentation from cardiac MRI: a collation study.. Medical Image Analysis, Elsevier, 2015, 19 (1), pp.187-202. ⟨hal-01141170⟩
  • Alain Rakotomamonjy, Caroline Petitjean, Mathieu Salaün, Luc Thiberville. Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images. Artificial Intelligence in Medicine, Elsevier, 2014, 61 (2), pp.105-18. ⟨10.1016/j.artmed.2014.05.003⟩. ⟨hal-01142663⟩
  • Caroline Petitjean, Maria A Zuluaga, Wenjia Bai, Jean-Nicolas Dacher, Damien Grosgeorge, et al.. Right Ventricle Segmentation From Cardiac MRI: A Collation Study. Medical Image Analysis, Elsevier, 2014, pp.43. ⟨10.1016/j.media.2014.10.004⟩. ⟨hal-01081337⟩
  • Mi Hongmei, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan. Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients with PET. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2014, 33 (4), pp.995-1003. ⟨hal-00945916⟩
  • Chesner Désir, Simon Bernard, Caroline Petitjean, Heutte Laurent. One class random forests. Pattern Recognition, Elsevier, 2013, 46 (12), pp.3490-3506. ⟨10.1016/j.patcog.2013.05.022⟩. ⟨hal-00862706⟩
  • Damien Grosgeorge, Caroline Petitjean, Bernard Dubray, Su Ruan. Esophagus Segmentation from 3D CT Data Using Skeleton Prior-Based Graph Cut.. Computational and Mathematical Methods in Medicine, Hindawi Publishing Corporation, 2013, pp.ID 547897. ⟨hal-00936773⟩
  • Damien Grosgeorge, Caroline Petitjean, Jean-Nicolas Dacher, Su Ruan. Graph cut segmentation with a statistical shape model in cardiac MRI.. Computer Vision and Image Understanding, Elsevier, 2013, 117, pp.2017-35. ⟨hal-00936757⟩
  • Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville, Mathieu Salaün. An SVM-based distal lung image classification using texture descriptors.. Computerized Medical Imaging and Graphics, Elsevier, 2012, 36, pp.264-270. ⟨hal-00671981⟩
  • Chesner Désir, Caroline Petitjean, Laurent Heutte, Mathieu Salaün, Luc Thiberville. Classification of endomicroscopic images using extra-Trees. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2012, 59 (9), pp.2677-2683. ⟨hal-00794136⟩
  • Chesner Désir, Caroline Petitjean, Laurent Heutte, Mathieu Salaün, Luc Thiberville. Classification of endomicroscopic images of the lung based on random subwindows and extra-trees. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2012, Volume 59, (Issue 9), pp. 2677- 2683. ⟨10.1109/TBME.2012.2204747⟩. ⟨hal-00796593⟩
  • Jérôme Caudron, Jeannette Fares, Valentin Lefebvre, Pierre-Hugues Vivier, Caroline Petitjean, et al.. Cardiac MR Assessment of Right Ventricular Function in Acquired Heart Disease: Factors of Variability.. Academic Radiology, Elsevier, 2012, 19 (8), pp.991-1002. ⟨hal-00937505⟩
  • Chesner Désir, Caroline Petitjean, Laurent Heutte, Mathieu Salaün, Luc Thiberville. An SVM distal lung image classification using texture descriptors. Computerized Medical Imaging and Graphics, Elsevier, 2011, 10.1016/j.compmedimag.2011.11.001. ⟨10.1016/j.compmedimag.2011.11.001⟩. ⟨hal-00673369⟩
  • Caroline Petitjean, Jean-Nicolas Dacher. A review of segmentation methods in cardiac MRI. Medical Image Analysis, Elsevier, 2011, 15 (2), pp.169-184. ⟨hal-00794139⟩
  • Damien Grosgeorge, Caroline Petitjean, Jérôme Caudron, Jeannette Fares, Jean-Nicolas Dacher. Automatic cardiac image segmentation: A validation study.. International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2011, 6, pp.573-81. ⟨hal-00942611⟩
  • Jérôme Caudron, Jeannette Fares, Pierre-Hugues Vivier, Valentin Lefebvre, Caroline Petitjean, et al.. Diagnostic accuracy and variability of three semi-quantitative methods for assessing right ventricular systolic function from cardiac MRI in patients with acquired heart disease.. European Radiology, Springer Verlag, 2011, 21 (10), pp.2111-20. ⟨10.1007/s00330-011-2152-0⟩. ⟨hal-00673389v2⟩
  • Caroline Petitjean, Jean-Nicolas Dacher. A review of segmentation methods in short axis cardiac MR images.. Medical Image Analysis, Elsevier, 2010, epub ahead of print. ⟨10.1016/j.media.2010.12.004⟩. ⟨hal-00551034⟩
  • Damien Grosgeorge, Caroline Petitjean, Jérôme Caudron, Jeannette Fares, Jean-Nicolas Dacher. Automatic cardiac ventricle segmentation in MR images: a validation study. International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2010, pp.1. ⟨10.1007/s11548-010-0532-6⟩. ⟨hal-00524989⟩
  • Pierre-Hugues Vivier, Eléonore Blondiaux, Michael Dolores, Nolwenn Marouteau-Pasquier, Caroline Petitjean, et al.. [Functional MR urography in children]. Journal de Radiologie, Elsevier Masson, 2009, 90 (1 Pt 1), pp.11-9. ⟨inserm-00474318⟩
  • P.-H. Vivier, M. Dolores, Isabelle Gardin, Caroline Petitjean, P. Zhang, et al.. Uro-IRM fonctionnelle chez l'enfant. Journal de Radiologie, Elsevier Masson, 2009, 90, pp.11-19. ⟨hal-00439137⟩
  • P.-H. Vivier, M. Dolores, Isabelle Gardin, P. Zhang, Caroline Petitjean, et al.. In vitro assessment of a three-dimensional segmentation algorithm based on the belief functions theory in calculating renal volumes by MR imaging. American Journal of Roentgenology, American Roentgen Ray Society, 2008, 191, pp.127-134. ⟨hal-00434331⟩
  • Pierre-Hugues Vivier, Michael Dolores, Isabelle Gardin, Peng Zhang, Caroline Petitjean, et al.. In vitro assessment of a 3D segmentation algorithm based on the belief functions theory in calculating renal volumes by MRI.. American Journal of Roentgenology, American Roentgen Ray Society, 2008, 191 (3), pp.W127-34. ⟨10.2214/AJR.07.3063⟩. ⟨inserm-00472947⟩
  • C. Petitjean, Nicolas Rougon, P. Cluzel, Francoise Preteux, Philippe Grenier. Quantification of myocardial function using tagged MR and cine MR images. International Journal of Cardiovascular Imaging, Springer Verlag, 2005, 20 (6), pp.497-508. ⟨hal-00273063⟩
  • Nicolas Rougon, Caroline Petitjean, Françoise Prêteux, Philippe Cluzel, Philippe Grenier. A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures.. Medical Image Analysis, Elsevier, 2005, 9 (4), pp.353-75. ⟨10.1016/j.media.2005.01.005⟩. ⟨hal-00673418⟩
  • C. Petitjean, Nicolas Rougon, P. Cluzel. Assessment of myocardial function: A review of quantification methods and results using tagged MRI. Journal of Cardiovascular Magnetic Resonance, BioMed Central, 2005, 7 (2), pp.501-516. ⟨hal-00273062⟩

Conference papers59 documents

  • Ignacio Ubeda, José M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte. Pattern spotting in historical documents using convolutional models. 5th International Workshop on Historical Document Imaging and Processing, HIP 2019, Sydney, Australia, Sept 2019, ICDAR2019, Sep 2019, Sydney, Australia. pp.60-65, ⟨10.1145/3352631⟩. ⟨hal-02335779⟩
  • Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Fahed Abdallah. Organ Segmentation in CT Images With Weak Annotations: A Preliminary Study. 27-ème Colloque GRETSI sur le Traitement du Signal et des Images, Aug 2019, Lille, France. ⟨hal-02183031⟩
  • Roger Trullo, Caroline Petitjean, Su Ruan, Bernard Dubray, Nie Dong, et al.. Segmentation des organes á risque en imagerie scanner par architecture sharpmask et crf.. GRETSI, 2017, Juan-Les-Pins, France. ⟨hal-02117738⟩
  • Nie Dong, Roger Trullo, Lian Jun, Caroline Petitjean, Su Ruan, et al.. Medical image synthesis with context-aware generative adversarial networks. Miccai, Sep 2017, Quebec, Canada. ⟨hal-01676320⟩
  • Roger Trullo, Caroline Petitjean, Su Ruan, Dong Nie, Dinggang Shen, et al.. SEGMENTATION OF ORGANS AT RISK IN THORACIC CT IMAGES USING A SHARPMASK ARCHITECTURE AND CONDITIONAL RANDOM FIELDS. IEEE Internation Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia. pp.1003-1006, ⟨10.1109/ISBI.2017.7950685⟩. ⟨hal-01650973⟩
  • Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan. Fully automated esophagus segmentation with a hierarchical deep learning approach. 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), Sep 2017, Kuching, Malaysia. pp.503-506. ⟨hal-02113939⟩
  • Fabio Spanhol, Luiz Oliveira, Paulo Cavalin, Caroline Petitjean, Laurent Heutte. Deep features for breast cancer histopathological image classification. 2017 IEEE International Conference on Systems, Man and Cybernetics (SMC), Oct 2017, Banff, Canada. pp.1868-1873. ⟨hal-02113824⟩
  • Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan. Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures. MICCAI’17 workshop Deep Learning in Medical Image Analysis, 2017, Quebec, Canada. pp.21-29. ⟨hal-02113933⟩
  • Fan Wang, Samia Ainouz, Caroline Petitjean, Abdelaziz Bensrhair. Polarization-based specularity removal method with global energy minimization. 2016 IEEE International Conference on Image Processing (ICIP), Sep 2016, Phoenix, United States. pp.1983-1987, ⟨10.1109/ICIP.2016.7532705⟩. ⟨hal-02113807⟩
  • Fabio Alexandre Spanhol, Luiz Oliveira, Caroline Petitjean, Laurent Heutte. Breast cancer histopathological image classification using Convolutional Neural Networks. 2016 International Joint Conference on Neural Networks (IJCNN), Jul 2016, Vancouver, Canada. pp.2560-2567. ⟨hal-02113849⟩
  • Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie. Region Proposal for Pattern Spotting in Historical Document Images. 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), Oct 2016, Shenzhen, China. pp.367-372. ⟨hal-02113978⟩
  • Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie. Pattern localization in historical document images via template matching. 2016 23rd International Conference on Pattern Recognition (ICPR), Dec 2016, Cancun, Mexico. pp.2054-2059. ⟨hal-02113982⟩
  • Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte. Détection de motifs graphiques dans des images de documents anciens. GRETSI, 2015, Lyon, France. ⟨hal-02114004⟩
  • Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte. Segmentation-free pattern spotting in historical document images. 2015 13th International Conference on Document Analysis and Recognition (ICDAR), Aug 2015, Tunis, Tunisia. pp.606-610. ⟨hal-02113994⟩
  • Sovann En, Frédéric Jurie, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte. Linear Discriminant Analysis for Zero-shot Learning Image Retrieval. International Conference on Computer Vision Theory and Applications, Mar 2015, Berlin, Germany. pp.70-77. ⟨hal-02113997⟩
  • S. Ruan, H. Mi, C. Petitjean, H. Li, Hc. Chen, et al.. Robust optimal feature selection for lung tumor recurrence prediction in PET imaging. In Annual Meeting of the American Society for Radiation Oncology, 2015, San Antonio, United States. ⟨hal-01659549⟩
  • Arturo Mendoza Quispe, Caroline Petitjean. Shape prior based image segmentation using manifold learning. IEEE Image Processing, Tools and Applications, Nov 2015, Orléans, France. ⟨hal-01216823⟩
  • Hongmei Mi, Caroline Petitjean, Pierre Vera, Su Ruan. Robust Feature Selection to Predict Tumor Treatment Outcome. Computational Methods for Molecular Imaging, International Conference on Medical Image Computing and Computer Assisted Intervention workshop, 2014, Boston, United States. ⟨hal-01153463⟩
  • Paul Desbordes, Caroline Petitjean, Su Ruan. 3D automated lymphoma segmentation in PET images based on cellular automata. International Conference on Image Processing Theory, Tools and Applications, 2014, Paris, France. ⟨hal-01153459⟩
  • Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan. Segmentation automatique de tumeur par marche aléatoire basé sur un modèle de croissance de tumeur. Reconnaissance de formes et intelligence artificielle (RFIA) 2014, Jun 2014, France. ⟨hal-00988589⟩
  • Damien Grosgeorge, Caroline Petitjean, Su Ruan. Segmentation par coupes de graphe multi-labels avec a priori de forme. Reconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, France. ⟨hal-00988749⟩
  • Hongmei Mi, Caroline Petitjean, Pierre Vera, Su Ruan. Robust feature selection to predict tumor treatment outcome. Computational Methods for Molecular Imaging. MICCAI Workshop, Sep 2014, Boston, United States. ⟨hal-01144677⟩
  • Damien Grosgeorge, Caroline Petitjean, Su Ruan. Joint Segmentation of Right and Left Cardiac Ventricles Using Multi-Label Graph Cut. IEEE International Symposium on Biomedical Imaging, Apr 2014, Beijing, China. ⟨hal-00949781⟩
  • Mi Hongmei, Caroline Petitjean, Pierre Vera, Bernard Dubray, Su Ruan. Automatic Lung Tumor Segmentation on PET Images Based on Random Walks and Tumor Growth Model. IEEE International Symposium on Biomedical Imaging, Apr 2014, Beijing, China. ⟨hal-00949806⟩
  • Hongmei Mi, Caroline Petitjean, Su Ruan, Bernard Dubray, Pierre Vera. Prédiction de l’évolution de tumeurs pulmonaires en imagerie TEP. Colloque du Groupe d’Etudes du Traitement du Signal et des Images, 2013, Brest, France. ⟨hal-01154297⟩
  • H. Mi, C. Petitjean, S. Ruan, P. Vera, B. Dubray. Prediction lung tumor evolution during radiotherapy from pet images using a patient specific model.. IEEE International Symposium on Biomedical Imaging, 2013, San Francisco, United States. pp.1404-7. ⟨hal-00944339⟩
  • Damien Grosgeorge, Caroline Petitjean, Su Ruan. Segmentation d'images par coupe de graphe avec a priori de forme. RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), 2012, Lyon, France. ⟨hal-00949854⟩
  • Damien Grosgeorge, Caroline Petitjean, Su Ruan. Segmentation d'images par coupe de graphe avec a priori de forme. RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. pp.978-2-9539515-2-3. ⟨hal-00656508⟩
  • Damien Grosgeorge, Caroline Petitjean, Su Ruan. Segmentation d’images par coupe de graphe avec a priori de forme. Congrès National sur la Reconnaissance de Formes et l’Intelligence Artificielle, 2012, Lyon, France. ⟨hal-01154360⟩
  • Caroline Petitjean, Su Ruan, Damien Grosgeorge, Jérôme Caudron, Jean-Nicolas Dacher. Right ventricle segmentation in cardiac MRI : a MICCAI'12 challenge. 3D Cardiovascular Imaging : a MICCAI segmentation challenge, Oct 2012, Nice, France. ⟨hal-00794175⟩
  • Damien Grosgeorge, Caroline Petitjean, Su Ruan, Jérôme Caudron, Jean-Nicolas Dacher. Right ventricle segmentation by graph cut with shape prior. 3D Cardiovascular Imaging : a MICCAI segementation challenge, Oct 2012, Nice, France. ⟨hal-00794180⟩
  • Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent 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. pp.250-257. ⟨hal-00794160⟩
  • David Hébert, Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville. Detection of pathological condition in distal lung images. International Symposium on Biomedical Imaging, 2012, France. ⟨hal-00794188⟩
  • Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte. A new random forest method for one class classification. Joint IAPR International Workshops on Statistical Techniques in Pattern Recognition (SPR) and Structural and Syntactic Pattern Recognition (SSPR), Nov 2012, Hiroshima, Japan. pp.282-290. ⟨hal-00794153⟩
  • Damien Grosgeorge, Caroline Petitjean, Su Ruan. Segmentation d'images par coupe de graphe avec a priori de forme. RFIA, Jan 2012, Lyon, France. pp.CD-ROM. ⟨hal-00673396⟩
  • Caroline Petitjean, Chesner Désir, Luc Thiberville, G. Lettier, Laurent Heutte. Manual vs automatic classification of endomicroscopic images of the distal lung. Proceedings of International Congress and exhibition on Computer Assisted Radiology and Surgery, 2011, Berlin, Germany. ⟨hal-00794192⟩
  • Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville. Using a priori knowledge to classify in vivo images of the lung. International Conference on Intelligent Computing, Sep 2010, Changsha, China. pp.207-212. ⟨hal-00536322⟩
  • Benoît Lelandais, Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville. Classification d'images alvéoscopiques par extra-trees. RFIA, Jan 2010, Caen, France. ⟨hal-00474507⟩
  • Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville. Using a priori knowledge to classify in vivo images of the lung. International Conference on Intelligent Computing, 2010, Changsha, China. pp.207-212. ⟨hal-00946613⟩
  • Caroline Petitjean, Régis Kouadio, Laurent Heutte, Vincent Delcourt. A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes. IbPRIA, Jun 2009, Povoa de Varzim, Portugal. pp.225-232. ⟨hal-00439131⟩
  • Caroline Petitjean, Jonathan Benoist, Luc Thiberville, Mathieu Salaün, Laurent Heutte. Classification of In-vivo Endomicroscopic Images of the Alveolar Respiratory System. IAPR Conference on Machine Vision Applications (MVA), May 2009, Yokohama, Japan. pp.471-474. ⟨hal-00439139⟩
  • Caroline Petitjean, Laurent Heutte, Vincent Delcourt, Régis Kouadio. Extraction automatique de pendules dans des images de caténaire. 22ème Colloque GRETSI sur le Traitement du Signal et des Images, Sep 2009, Dijon, France. pp.296. ⟨hal-00439142⟩
  • Caroline Petitjean, Laurent Heutte, Vincent Delcourt, Régis Kouadio. Automatic Extraction of Droppers in Catenary Scenes. IAPR Conference on Machine Vision Applications, May 2009, Yokohama, Japan. pp.497-500. ⟨hal-00439133⟩
  • Aurélien Saint-Réquier, Benoît Lelandais, Caroline Petitjean, Chesner Désir, Laurent Heutte, et al.. Characterization of endomicroscopic images of the distal lung for computer-aided diagnosis. International Conference on Intelligent Computing, Sep 2009, Ulsan, South Korea. pp.994-1003. ⟨hal-00439110⟩
  • Caroline Petitjean, Chesner Désir, Mathieu Salaün, Luc Thiberville, Laurent Heutte. Automatic classification of in vivo distal lung images for computer-aided diagnosis. Medical Image Understanding and Analysis, Jul 2009, Londres, United Kingdom. pp.26. ⟨hal-00439138⟩
  • Caroline Petitjean, Jonathan Benoist, Luc Thiberville, Mathieu Salaün, Laurent Heutte. Classification d'images endomicroscopiques du système respiratoire alvéolaire. 22ème Colloque GRETSI sur le Traitement du Signal et des Images, Sep 2009, Dijon, France. pp.299. ⟨hal-00439141⟩
  • Florent Montreuil, Régis Kouadio, Caroline Petitjean, Laurent Heutte, Vincent Delcourt. Automatic extraction of information for catenary scene analysis. Proceedings of the 16th European Signal Processing Conference (EUSIPCO'08), Aug 2008, Lausanne, Switzerland. pp.0. ⟨hal-00439135⟩
  • Régis Kouadio, Vincent Delcourt, Laurent Heutte, Caroline Petitjean. Video based catenary inspection for preventive maintenance on iris 320.. World Congress of Railway Research, May 2008, Séoul, South Korea. ⟨hal-00474613⟩
  • C. Petitjean, Nicolas Rougon, Francoise Preteux. Building and using a statistical 3D motion atlas for analyzing myocardial contraction in MRI. Conference on Image Processing - SPIE International Symposium Medical Imaging'04, Feb 2004, San Diego, CA, United States. pp.253-264. ⟨hal-00273599⟩
  • C. Petitjean, Nicolas Rougon, P. Cluzel, Francoise Preteux, Philippe Grenier. A statistical motion atlas for dynamically asessing myocardial function in MRI. Annual SCMR Scientific Sessions / Euro CMR 2004 Meeting, Feb 2004, Barcelona, Spain. pp.122-123. ⟨hal-00273602⟩
  • Nicolas Rougon, C. Petitjean, Francoise Preteux. Recalage variationnel non rigide d'images par f-information exclusive. Actes 19e Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI'2003), Sep 2003, Paris, France. pp.165-168. ⟨hal-00272955⟩
  • Nicolas Rougon, C. Petitjean, Francoise Preteux. Variational non rigid image registration using exclusive f-information. International Conference on Image Processing (ICIP'2003), Sep 2003, Barcelona, Spain. pp.703-706. ⟨hal-00272997⟩
  • C. Petitjean, Nicolas Rougon, Francoise Preteux, Ph. Cluzel, Pilippe Grenier. Automated 3D measurement of myocardial contraction from tagged MR sequences. 89th Scientific Assembly and Annual Meeting (RSNA'2003), Dec 2003, Chicago, United States. pp.414. ⟨hal-00272980⟩
  • C. Petitjean, Nicolas Rougon, Francoise Preteux, Philippe Clauzel, Philippe Grenier. Measuring myocardial deformations from MR data using information-theoretic non rigid registration. 17th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS'2003), Jun 2003, London, United Kingdom. pp.1159-1164. ⟨hal-00273021⟩
  • C. Petitjean, Nicolas Rougon, Francoise Preteux, Ph. Cluzel, Philippe Grenier. Measuring myocardial deformations in tagged-MR image sequences using informational non rigid registration. Second International Workshop on Functional Imaging and Modeling of the Heart (FIMH'2003), Jun 2003, Lyon, France. pp.162-172. ⟨hal-00273024⟩
  • Patrice Delmas, Caroline Petitjean. Level set for face feature extraction: Application to lip tracking. Image and Vision Computing New Zealand, Nov 2002, Auckland, New Zealand. pp.0. ⟨hal-00439145⟩
  • C. Petitjean, Nicolas Rougon, P. Cluzel, Francoise Preteux, Philippe Grenier. Evaluation de techniques de recalage non rigide pour l'analyse quantitative de la fonction contractile myocardique en IRM de marquage. Journées Francaises de Radiologie (JFR'2002), Oct 2002, Paris, France. ⟨hal-00272228⟩
  • C. Petitjean, Nicolas Rougon, P. Cluzel, Francoise Preteux, Philippe Grenier. Benchmarking non-rigid registration techniques for the quantitative analysis of myocardial function in tagged-MR imaging. European Congress of Radiology 2002 (ECR'2002), Mar 2002, Vienna, Austria. ⟨hal-00272216⟩
  • Nicolas Rougon, C. Petitjean, Francoise Preteux. Recalage non rigides par mesures d'information généralisées. Journée Thématique GDR MSPC, Apr 2002, Paris, France. ⟨hal-00272258⟩

Book sections1 document

  • Laurent Heutte, Caroline Petitjean, Chesner Désir. PRUNING TREES IN RANDOM FORESTS FOR MINIMIZING NON DETECTION IN MEDICAL IMAGING. Handbook of Pattern Recognition and Computer Vision, WORLD SCIENTIFIC, pp.89-107, 2016. ⟨hal-02113970⟩

Other publications2 documents

  • C. Petitjean, P. Cluzel, Nicolas Rougon. Assessment of myocardial function: A review of quantification methods and results using tagged MRI. 2003. ⟨hal-00273036⟩
  • C. Petitjean, Nicolas Rougon, Francoise Preteux. Non rigid image registration using generalized information measures. 2002. ⟨hal-00272261⟩

Preprints, Working Papers, ...1 document

  • Alain Rakotomamonjy, Caroline Petitjean, Mathieu Salaün, Luc Thiberville. Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images. 2013. ⟨hal-00820354v3⟩

Theses2 documents

  • Caroline Petitjean. Recalage non rigide d'images par approches variationnelles statistiques. Application à l'analyse et à la modélisation de la fonction myocardique en IRM. Informatique [cs]. Université René Descartes - Paris V, 2003. Français. ⟨tel-00273241⟩
  • Caroline Petitjean. Recalage non rigide d'images par approches variationnelles statistiques - Application à l'analyse et à la modélisation de la fonction myocardique en IRM. Interface homme-machine [cs.HC]. Université René Descartes - Paris V, 2003. Français. ⟨tel-00003631⟩