Caroline Petitjean

SAMSUNG DIGITAL CAMERAAssistant Professor – University of Rouen

Contact: caroline.petitjean at univ-rouen.fr

My research interests are shape prior-based image segmentation (applied to medical imaging) and image characterization and classification.

I am currently with the M2NUM project and the STIC AmSud project.

I teach courses at both the undergraduate and the graduate level on topics such as digital signal and image processing. More information about teaching on my personal page.

  • News July 2016: website on Pattern Spotting is up and running! please visite http://spotting.univ-rouen.fr
  • News January 2015 : Our review on cardiac image segmentation is now Medical Image Analysis’s most cited paper!
  • News Oct 13th, 2014 : The collation paper presenting the RVSC results has now been accepted in Medical Image Analysis!
    Final version is downloadable here: RSCVMedIApaper_finalversion

On Oct 7th 2012, our Challenge on Right Ventricle Segmentation (RVSC) in cardiac MRI took place at MICCAI’12


Current PhD student co-advisoring

  • Roger Trullo (2015-2018), supervision Prof S. Ruan
  • Sovann En (2013-2016), with S. Nicolas, supervision Prof L. Heutte and Prof F. Jurie, GREYC Caen

Reviewing and committee tasks

  • Reviewer for International Journals: IJCV, Medical Image Analysis, IEEE Trans on Medical Imaging, IEEE Trans on Image Processing, PR, CVIU, Artificial Intelligence in Medicine (AIIM),  IJCARS, PRL, PAA, Journal of Computational Applied Mathematics (JCAM)…
  • Regular reviewer for International Conferences: MICCAI (from 2012), IEEE ISBI (from 2013), BMVC (from 2015)… and also: Curves and Surfaces ‘11,  ICDAR’09, IbPRIA’07…
  • Program Committee member: ICPRAM’16, FIMH’15, FIMH’13, RVSC workshop at MICCAI’12, RFIA’10, ICIC’11, ICIC’10, ICIC’09…
  • Organization Committee member: RFIA’14, RVSC workshop at MICCAI’12
  • Reviewer of research proposals for ANR (French National Research Fund), FONDECYT (Chilean National Science and Technology Research Fund), SNSF (Swiss National Science Foundation), Technology Foundation STW (Dutch funding agency for academic research in the field of applied sciences)

Past PhD and Master student advisoring

  • Hongmei Mi, PhD student (2011-2015) (supervision Prof S. Ruan), now with China jiliang University, Zhejiang, China
  • Damien Grosgeorge, PhD student (2010-2014) (with Prof S. Ruan), now with RedBird, Paris France
  • Paul Desbordes, IBIOM MSc student (2013) (with Prof. S. Ruan), now a PhD student at the LITIS lab
  • Mehdi Mhammedi Alaoui, INSA Rouen MSc student (2013)
  • Chesner Désir, PhD student (2008-2013) (with Prof L. Heutte and Prof. L. Thiberville), now with CEA Grenoble France
  • Wassim Hamza (2012)
  • Latifa Abassi (2012) (with M. Bérar)
  • Nguyen Diep, INSA Rouen MSc student (2010) (with L. Heutte and C. Désir)
  • Damien Grosgeorge, MSc student (2010)
  • Clément Fouquet, MSc student (2010) (with L. Heutte and C. Désir)
  • Benoit Lelandais, MSc student (2009) (with Prof. L. Heutte)
  • Jonathan Benoist, MSc student (2008)
  • Achraf Ben Hamadou, MSc student (2007) (with Dr. A. Manrique)
  • Régis Kouadio, PhD student (2005-2008) (with Prof. L. Heutte)

 Publications

In bold : publications in international journals (not counting medical journals). My Google Scholar entry is here

2016

  • En, S., Petitjean, C., Nicolas, S., Heutte, L., & Jurie, F. (2016). Pattern localization in historical document images via template matching. In accepted at ICPR, Cancun, Mexico.
  • F. Wang, S. Ainouz, C. Petitjean, and A. Benshrair. Polarization-based specularity removal method with global energy minimization. accepted at IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, USA. 2016.
  • En, S., Nicolas, S., Petitjean, C., Heutte, L., & Jurie, F. (2016). Detection Proposal for Pattern Spotting in Historical Document Images. In accepted at ICFHR, Shenzen, China.
  • D. Grosgeorge, C. Petitjean, S. Ruan, A multilabel statistical shape prior for image segmentation, IET Image Processing, in press, 2016
  • Fabio A. Spanhol, Luiz S. Oliveira, Caroline Petitjean and Laurent Heutte, Breast Cancer Histopathological Image Classification using Convolutional Neural Networks, IJCNN, Vancouver Canada, 2016
  • A. Mendoza Quispe, C. Petitjean and L. Heutte. Extreme learning machine for out-ofsample in laplacian eigenmaps. Pattern Recognition Letters, 2016
  • S. En, C. Petitjean, S. Nicolas, L. Heutte. A scalable pattern spotting system for historical documents, Pattern Recognition, 2016
  • L. Heutte, C. Petitjean, and C. Désir. Pruning trees in random forests for minimizing non detection in medical imaging. In Handbook of Pattern Recognition and Computer Vision, 5th Edition, pages 89-107. World Scientic, 2016.

2015

  • P. Desbordes, C. Petitjean, S. Ruan, Segmentation of lymphoma tumor in PET images using cellular automata: a preliminary study, IRBM, 2015
  • F.A. Spanhol, L.S. Oliveira, C. Petitjean, L. Heutte, A Dataset for Breast Cancer Histopathological Image Classification, IEEE Transactions on Biomedical Engineering, 2015
  • A. Mendoza Quispe and C. Petitjean, Shape prior based image segmentation using manifold learning, IEEE IPTA, 2015 pdf download
  • H. Mi, C. Petitjean, B. Dubray P. Vera, S. Ruan. Robust Feature Selection to Predict Tumor Treatment Outcome, Artificial Intelligence in Medicine, vol. 64, pp.195-204, 2015
  • S. En, C. Petitjean, S. Nicolas, L. Heutte. Détection de motifs graphiques dans des images de documents anciens, GRETSI’15, Lyon, France.
  • S. En, C. Petitjean, S. Nicolas, L. Heutte. Segmentation-Free Pattern Spotting in Historical Document Images, ICDAR’15, Nancy, France.
  • H. Mi, C. Petitjean, P. Vera, S. Ruan. Joint Tumor Growth Prediction and Tumor Segmentation on Therapeutic Follow-up PET Images, Medical Image Analysis, vol. 13, number 1, p. 84-91, 2015
  • S. En, F. Jurie, S. Nicolas, C. Petitjean, L. Heutte. Linear Discriminant Analysis for Zero-Shot Learning Image Retrieval, VISAPP, Berlin, Germany, 2015.

2014

  • C. Petitjean, M.A. Zuluaga, W. Bai, JN Dacher, D. Grosgeorge, J. Caudron, S. Ruan, I. Ben Ayed, M.Jorge Cardoso, H.-C. Cheng, D. Jimenez-Carretero, M. J. Ledesma-Carbayo, C. Davatzikos, J. Doshi, G. Erus, O.M.O. Maier, C.M.S. Nambakhsh, Y. Ou, S. Ourselin, C.-W. Peng, N.S. Peters, T.M. Peters, M. Rajchl, D. Rueckert, A. Santos, W. Shi, C.-W. Wang, H. Wang, J. Yuan, Right Ventricle Segmentation From Cardiac MRI: A Collation Study, Medical Image Analysis, vol. 19, p. 187–202, 2015 RSCVMedIApaper_finalversion
  • H. Mi, C. Petitjean, S. Ruan and P. Vera. Robust Feature Selection to Predict Lung Tumor Recurrence, Computational Methods for Molecular Imaging [CMMI 2014] Workshop at MICCAI’14, 2014.
  • P. Desbordes, C. Petitjean, S. Ruan, 3D automated lymphoma segmentation in PET images based on cellular automata, IEEE IPTA, 2014. pdf download
  • A. Rakotomamonjy, C. Petitjean, M. Salaün, L. Thiberville, Scattering features for lung cancer detection in  fibered confocal fluorescence microscopy images, Artificial Intelligence in Medicine, Vol. 61, Issue 2, Pages 105-118, 2014
  • H. Mi, C. Petitjean, S. Ruan, B. Dubray and P. Vera. Segmentation automatique de tumeur par marche aléatoire basé sur un modèle de croissance de tumeur, RFIA 2014, Rouen, France
  • D. Grosgeorge, C. Petitjean and S. Ruan. Segmentation par coupes de graphe multi-labels avec a priori de forme, RFIA 2014, Rouen, France
  • H. Mi, C. Petitjean, B. Dubray, P. Vera, S. Ruan, « Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients with PET », IEEE Transactions on Medical Imaging, 33(4), p. 995-1003, April 2014 pdf download
  • D. Grosgeorge, C. Petitjean, S. Ruan, « Joint Segmentation of Right and Left Cardiac Ventricles Using Multi-Label Graph Cut », IEEE International Symposium on Biomedical Imaging (ISBI’14), 2014, Beijing, China pdf download
  • H. Mi, C. Petitjean, B. Dubray, P. Vera, S. Ruan, « Automatic Lung Tumor Segmentation on PET Images Based on Random Walks and Tumor Growth Model », IEEE International Symposium on Biomedical Imaging (ISBI’14), 2014, Beijing, China

2013

  • D. Grosgeorge, C. Petitjean, B. Dubray, S. Ruan, Esophagus Segmentation from 3D CT Data Using Skeleton Prior-Based Graph Cut, Computational and Mathematical Methods in Medicine, vol. 2013, Article ID 547897, 6 pages, 2013. doi:10.1155/2013/547897.
  • C. Desir, S. Bernard, C. Petitjean, L. Heutte. One Class Random Forests. Pattern Recognition, vol. 46, no. 12, pp. 3490-3506, 2013pdf download
  • D. Grosgeorge, C. Petitjean, J.-N. Dacher, S. Ruan. Graph cut segmentation with a statistical shape model in cardiac MRI, Computer Vision and Image Understanding, vol. 117, p. 1027–1035, 2013.
  • H. Mi, C. Petitjean, S. Ruan, B. Dubray, P. Vera, Prédiction de l’évolution de tumeurs pulmonaires en imagerie TEP, Actes du Colloque GRETSI’13, Brest, France, Septembre 2013
  • H. Mi, C. Petitjean, S. Ruan, B. Dubray, P. Vera, Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model, Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI’13), p.1404-1407, San Francisco, USA, April 2013

2012

  • D. Grosgeorge, C. Petitjean, S. Ruan, J. Caudron, J.-N. Dacher. Right ventricle segmentation by graph cut with shape prior. MICCAI International Workshop, Right Ventricle Segmentation Challenge, 2012.
  • C. Désir, 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.
  • C. Désir, S. Bernard, C. Petitjean, 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 7588, pp. 250–257, October 2012.
  • C. Désir, 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, Volume 59, Issue 9, pp. 2677- 2683, 2012 pdf download
  • J. Caudron, J. Fares, V. Lefebvre, P.-H. Vivier, C. Petitjean, and J.-N. Dacher. Cardiac MR Assessment of Right Ventricular Function in Acquired Heart Disease: Factors of Variability, Academic Radiology, Volume 19, Issue 8, pp. 991-1002, 2012
  • D. Hébert, C. Désir, C. Petitjean, L. Heutte, L. Thiberville, Detection of pathological condition in distal lung images, Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1603 – 1606, Barcelona, Spain, 2012
  • C. Désir, C. Petitjean, L. Heutte, M. Salaün, L. Thiberville, An SVM distal lung image classification using texture descriptors, Computerized Medical Imaging and Graphics, 36, pp. 264-270, 2012 pdf download
  • D. Grosgeorge, C. Petitjean, S. Ruan, Segmentation d’images par coupe de graphe avec a priori de forme, RFIA’12, Lyon, France, January 2012

2011

  • J. Caudron, J. Fares, V. Lefebvre, P.-H. Vivier, C. Petitjean, and J.-N. Dacher. 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, 21(10), 2111-20, 2011
  • C. Petitjean and J.-N. Dacher, A review of segmentation methods in short-axis cardiac images, Medical Image Analysis, vol. 15, pp. 169-184, 2011 pdf download  Most Cited MedIA papers since 2010 !!!
  • D. Grosgeorge, C. Petitjean, J. Caudron, J. Fares, J.-N. Dacher, Automatic cardiac image segmentation: a validation study, International Journal of Computer Assisted Radiology and Surgery, Vol. 6, p. 573-581, 2011 pdf download

2010

  • C. Désir, 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.
  • B. Lelandais, C. Désir, C. Petitjean, L. Heutte, L. Thiberville, Classification d’images alvéoscopiques par extra-trees, RFIA, Caen, France, January 2010

2009

  • A. Saint-Réquier, B. Lelandais, C. Petitjean, C. Désir, M. Salaün, L. Thiberville, L. Heutte, Characterization of endomicroscopic images of the distal lung for computer-aided diagnosis, International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, LNCS 5754, Springer, pp. 994-1003, Sept. 2009 pdf download
  • C. Petitjean, L. Heutte, V. Delcourt, R. Kouadio, Extraction automatique de pendules dans des images de caténaire, Actes du 22ème Colloque GRETSI sur le Traitement du Signal et des Images, Dijon, France, Sept. 2009 pdf download
  • C. Petitjean, J. Benoist, L. Thiberville, M. Salaün, L. Heutte, Classification d’images endomicroscopiques du système respiratoire alvéolaire. Actes du 22ème Colloque GRETSI sur le Traitement du Signal et des Images, Dijon, France, Sept. 2009
  • C. Petitjean, C. Désir, M. Salaün, L. Thiberville, L. Heutte, Automatic classification of in vivo distal lung images for computer-aided diagnosis, Medical Image Understanding and Analysis, London, UK, July 2009
  • C. Petitjean, J. Benoist, L. Thiberville, M. Salaün, L. Heutte, Classification of In-vivo Endomicroscopic Images of the Alveolar Respiratory System, IAPR Conference on Machine Vision Applications (MVA), Yokohama, Japan, pp. 471-474, May 2009 pdf download
  • C. Petitjean, L. Heutte, R. Kouadio, V. Delcourt, Automatic Extraction of Droppers in Catenary Scenes, IAPR Conference on Machine Vision Applications (MVA), Yokohama, Japan, pp. 497-500, May 2009
  • C. Petitjean, R. Kouadio, L. Heutte, V. Delcourt, A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes, LNCS Proceedings of IbPRIA, p.225-232, Povoa de Varzim, Portugal, June 2009.
  • PH Vivier, E Blondiaux, M Dolores, N Marouteau-Pasquier, M Brasseur, C. Petitjean, JN Dacher, Uro-IRM fonctionnelle chez l’enfant, J Radiol, 90:11-19, 2009

2008

  • P.-H. Vivier, M. Dolores, I. Gardin, P. Zhang, C. Petitjean, J.-N. Dacher, 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, 191, p.127-134, September 2008.
  • F. Montreuil, R. Kouadio, C. Petitjean, L. Heutte, V. Delcourt, Automatic extraction of information for catenary scene analysis, Proceedings of the 16th European Signal Processing Conference (EUSIPCO’08), Lausanne, Switzerland, August 2008.
  • R. Kouadio, V. Delcourt, L. Heutte and C. Petitjean, Video based catenary inspection for preventive maintenance on Iris 320,World Congress of Railway Research, Séoul, Korea, May 2008.

2005

  • N. Rougon, C. Petitjean, F.Prêteux, P.Cluzel, P.Grenier, A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures, Medical Image Analysis, Vol. 9(4), August 2005, p. 353-375.
  • C. Petitjean, N.Rougon, P.Cluzel, Assessment of myocardial function: A review of quantification methods and results using tagged MRI, Journal of Cardiovascular Magnetic Resonance, Vol. 7(2), April 2005, p. 501-516.
  • C. Petitjean, N.Rougon, P.Cluzel, F.Prêteux, P.Grenier, Quantification of myocardial function using tagged MR and cine MR images, International Journal of Cardiovascular Imaging, Vol. 20(6), March 2005, p. 497-508.

2004

  • C. Petitjean, N.Rougon, P.Cluzel, F.Prêteux, P.Grenier, A statistical motion atlas for dynamically assessing myocardial function in MRI, Proceedings 7th Annual SCMR Scientific Sessions / Euro CMR 2004 Meeting, Barcelona, Spain, 13-15 February 2004, p. 22-23.
  • C. Petitjean, N.Rougon, F.Prêteux, Building and using a statistical 3D motion atlas for analyzing myocardial contraction in MRI , Proceedings SPIE Conference on Image Processing – SPIE International Symposium Medical Imaging’04, San Diego, CA, Vol. 5370, 14-19 February 2004, p. 253-264.

2003

  • C. Petitjean, N.Rougon, F.Prêteux, Ph.Cluzel, Ph.Grenier, Automated 3D measurement of myocardial contraction from tagged MR sequences Proceedings RSNA 89th Scientific Assembly and Annual Meeting (RSNA’2003), Chicago, IL, 30 November – 5 December 2003, p. 414.
  • N. Rougon, C. Petitjean, F. Prêteux. « Variational non rigid image registration using exclusive f-information ». Dans Proceedings of the IEEE International Conference on Image Processing (ICIP’2003), Barcelone, Espagne, 14-17 septembre 2003.
  • C. Petitjean, N. Rougon, Ph. Cluzel, F. Prêteux, Ph. Grenier. « Measuring myocardial deformations in tagged MR image sequences using information-theoretic non rigid registration ». Dans Proceedings of the17th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS’2003), Londres, UK, 25-28 juin 2003.
  • C. Petitjean, N. Rougon, Ph. Cluzel, F. Prêteux, Ph. Grenier. « A non rigid registration approach for measuring myocardial contraction in tagged MRI using exclusive f-information ». Dans Proceedings of the International IAPR Conference on Image and Signal Processing (ICISP’2003), Agadir, Maroc, 25-27 juin 2003.
  • C. Petitjean, N. Rougon, Ph. Cluzel, F. Prêteux, Ph. Grenier. « Measuring myocardial deformations in tagged MR image sequences using informational non rigid registration ». Dans Proceedings of the Second International Workshop on Functional Imaging and Modeling of the Heart (FIMH’2003), Lyon, France, 5-6 juin 2003.
  • N. Rougon, C. Petitjean, F. Prêteux. « Recalage non-rigide d’images par mesures informationnelles généralisées ». Dans Actes du 19ème Colloque GRETSI sur le Traitement du Signal et des Images, Paris, France, 8-11 septembre 2003.

2002

  • P. Delmas, C. Petitjean. « Level set for face feature extraction: Application to lip tracking ». Dans Image and Vision Computing New Zealand 2002, Auckland, Nouvelle-Zélande, 26-28 novembre 2002.
  • C. Petitjean, N. Rougon, Ph. Cluzel, F. Prêteux, Ph.Grenier, Evaluation de techniques de recalage non rigide pour l’analyse quantitative de la fonction contractile myocardique en IRM de marquage, Actes Journées Francaises de Radiologie (JFR’2002), Paris, France, October 2002.
  • C. Petitjean, N.Rougon, Ph.Cluzel, F.Prêteux, Ph.Grenier, Benchmarking non-rigid registration techniques for the quantitative analysis of myocardial function in tagged-MR imaging, European Congress of Radiology 2002 (ECR’2002), Vienna, Austria, March 2002.