Caroline Petitjean

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Publications

Article dans une revue (45)

Segmentation-Based vs. Regression-Based Biomarker Estimation : A Case Study of Fetus Head Circumference Assessment from Ultrasound Images Jing Zhang,Caroline Petitjean,Samia Ainouz Journal of Imaging, 2022, 8 (2), pp.23. ⟨10.3390/jimaging8020023⟩ Article dans une revue hal-03563701v1
Enforcing Geometrical Priors in Deep Networks for Semantic Segmentation Applied to Radiotherapy Planning Zoé Lambert,Carole Le Guyader,Caroline Petitjean Journal of Mathematical Imaging and Vision, 2022, 64 (8), pp.892-915. ⟨10.1007/s10851-022-01102-1⟩ Article dans une revue hal-04456829v1
CoordConv-Unet: Investigating CoordConv for Organ Segmentation R. El Jurdi,C. Petitjean,Paul Honeine,Fahed Abdallah Innovation and Research in BioMedical engineering, 2021, ⟨10.1016/j.irbm.2021.03.002⟩ Article dans une revue hal-03410507v1
High-level prior-based loss functions for medical image segmentation : a survey Rosana El Jurdi,Caroline Petitjean,Paul Honeine,Veronika Cheplygina,Fahed Abdallah Computer Vision and Image Understanding, 2021, 210, pp.103248. ⟨10.1016/j.cviu.2021.103248⟩ Article dans une revue hal-03410506v1
BB-UNet : U-Net with Bounding Box Prior Rosana El Jurdi,Caroline Petitjean,Paul Honeine,Fahed Abdallah IEEE Journal of Selected Topics in Signal Processing, 2020, 14 (6), pp.1189 - 1198. ⟨10.1109/JSTSP.2020.3001502⟩ Article dans une revue hal-02863197v1
Improving pattern spotting in historical documents using feature pyramid networks Ignacio Úbeda,Jose Saavedra,Stéphane Nicolas,Caroline Petitjean,Laurent Heutte Pattern Recognition Letters, 2020, 131, pp.398-404. ⟨10.1016/j.patrec.2020.02.002⟩ Article dans une revue hal-05482596v1
Machine learning for learner English Nicolas Ballier,Stéphane Canu,Caroline Petitjean,Gilles Gasso,Carlos Balhanaet al. International Journal of Learner Corpus Research, 2020, 6 (1), pp.72-103. ⟨10.1075/ijlcr.18012.bal⟩ Article dans une revue hal-02496670v1
Multiorgan segmentation using distance-aware adversarial networks Roger Trullo,Caroline Petitjean,Bernard Dubray,Su Ruan Journal of Medical Imaging, 2019, 6 (01), pp.1. ⟨10.1117/1.JMI.6.1.014001⟩ Article dans une revue hal-02087867v1
Multiple Instance Learning for Histopathological Breast Cancer Images P.J. Sudharshan,Caroline Petitjean,Fabio Spanhol,Luís Oliveira,Laurent Heutteet al. Expert Systems with Applications, 2019, 117, pp.103-111. ⟨10.1016/j.eswa.2018.09.049⟩ Article dans une revue hal-01965039v2
Medical Image Synthesis with Deep Convolutional Adversarial Networks Dong Nie,Roger Trullo,Jun Lian,Caroline Petitjean,Su Ruanet al. IEEE Transactions on Biomedical Engineering, 2018, 65 (12), pp.2720-2730. ⟨10.1109/TBME.2018.2814538⟩ Article dans une revue hal-02054415v1
New public dataset for spotting patterns in medieval document images Sovann En,Stéphane Nicolas,Caroline Petitjean,Frédéric Jurie,Laurent Heutte Journal of Electronic Imaging, 2017, 26 (1), pp.011010. ⟨10.1117/1.JEI.26.1.011010⟩ Article dans une revue hal-02113967v1
Specularity removal: a global energy minimization approach based on polarization imaging Fang Wang,Samia Ainouz,Caroline Petitjean,Abdelaziz Bensrhair Computer Vision and Image Understanding, 2017, 158, pp.31-39. ⟨10.1016/j.cviu.2017.03.003⟩ Article dans une revue hal-01665341v1
Automatic classification of human sperm head morphology Violeta Chang,Laurent Heutte,Caroline Petitjean,Steffen Härtel,Nancy Hitschfeld Computers in Biology and Medicine, 2017, 84, pp.205-216. ⟨10.1016/j.compbiomed.2017.03.029⟩ Article dans une revue hal-02113827v1
Medical Image Synthesis with Context-Aware Generative Adversarial Networks Dong Nie,Roger Trullo,Jun Lian,Caroline Petitjean,Su Ruanet al. Medical image computing and computer-assisted intervention : MICCAI .. International Conference on Medical Image Computing and Computer-Assisted Intervention, 2017, 10435, pp.417-425. ⟨10.1007/978-3-319-66179-7_48⟩ Article dans une revue hal-02054406v1
Specularity removal: a global energy minimization approach based on polarization imaging Fan Wang,Samia Ainouz,Caroline Petitjean,Abdelaziz Bensrhair Computer Vision and Image Understanding, 2017, ⟨10.1016/j.cviu.2017.03.003⟩ Article dans une revue hal-02114528v1
A Dataset for Breast Cancer Histopathological Image Classification Fabio Spanhol,Luiz F.L. Oliveira,Caroline Petitjean,Laurent Heutte IEEE Transactions on Biomedical Engineering, 2016, 63 (7), pp.1455-1462. ⟨10.1109/TBME.2015.2496264⟩ Article dans une revue hal-02113843v1
Segmentation of lymphoma tumor in PET images using cellular automata: A preliminary study P. Desbordes,C. Petitjean,S. Ruan Innovation and Research in BioMedical engineering, 2016, 37 (1), pp.3-10. ⟨10.1016/j.irbm.2015.11.001⟩ Article dans une revue istex hal-02113992v1
A scalable pattern spotting system for historical documents Sovann En,Caroline Petitjean,Stéphane Nicolas,Laurent Heutte Pattern Recognition, 2016, 54, pp.149-161. ⟨10.1016/j.patcog.2016.01.014⟩ Article dans une revue istex hal-02116648v1
Extreme learning machine for out-of-sample extension in Laplacian eigenmaps Arturo Mendoza Quispe,Caroline Petitjean,Laurent Heutte Pattern Recognition Letters, 2016, 74, pp.68-73. ⟨10.1016/j.patrec.2016.01.024⟩ Article dans une revue istex hal-02113888v1
Robust feature selection to predict tumor treatment outcome Hongmei Mi,Caroline Petitjean,Bernard Dubray,Pierre Vera,Su Ruan Artificial Intelligence in Medicine, 2015, 64 (3), pp.195 - 204. ⟨10.1016/j.artmed.2015.07.002⟩ Article dans une revue istex hal-01648103v1
Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images. Hongmei Mi,Caroline Petitjean,Pierre Vera,Su Ruan Medical Image Analysis, 2015, 23 (1), pp.84-91 Article dans une revue hal-01158896v1
Specularity removal: A global energy minimization approach based on polarization imaging Fan Wang,Samia Ainouz,Caroline Petitjean,Abdelaziz Bensrhair Computer Vision and Image Understanding, 2014, 158, pp.31 - 39. ⟨10.1016/j.patrec.2013.11.009⟩ Article dans une revue hal-01535900v1
Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients with PET Mi Hongmei,Caroline Petitjean,Bernard Dubray,Pierre Vera,Su Ruan IEEE Transactions on Medical Imaging, 2014, 33 (4), pp.995-1003 Article dans une revue hal-00945916v1
Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images Alain Rakotomamonjy,Caroline Petitjean,Mathieu Salaün,Luc Thiberville Artificial Intelligence in Medicine, 2014, 61 (2), pp.105-18. ⟨10.1016/j.artmed.2014.05.003⟩ Article dans une revue hal-01142663v1
Right Ventricle Segmentation From Cardiac MRI: A Collation Study Caroline Petitjean,Maria A. Zuluaga,Wenjia Bai,Jean-Nicolas Dacher,Damien Grosgeorgeet al. Medical Image Analysis, 2014, 19 (1), pp.43. ⟨10.1016/j.media.2014.10.004⟩ Article dans une revue hal-01081337v1
One class random forests Chesner Désir,Simon Bernard,Caroline Petitjean,Heutte Laurent Pattern Recognition, 2013, 46 (12), pp.3490-3506. ⟨10.1016/j.patcog.2013.05.022⟩ Article dans une revue hal-00862706v1
Graph cut segmentation with a statistical shape model in cardiac MRI. Damien Grosgeorge,Caroline Petitjean,Jean-Nicolas Dacher,Su Ruan Computer Vision and Image Understanding, 2013, 117, pp.2017-35 Article dans une revue hal-00936757v1
Esophagus Segmentation from 3D CT Data Using Skeleton Prior-Based Graph Cut. Damien Grosgeorge,Caroline Petitjean,Bernard Dubray,Su Ruan Computational and Mathematical Methods in Medicine, 2013, pp.ID 547897 Article dans une revue hal-00936773v1
Classification of endomicroscopic images using extra-Trees Chesner Désir,Caroline Petitjean,Laurent Heutte,Mathieu Salaün,Luc Thiberville IEEE Transactions on Biomedical Engineering, 2012, 59 (9), pp.2677-2683 Article dans une revue hal-00794136v1
An SVM-based distal lung image classification using texture descriptors. Chesner Désir,Caroline Petitjean,Laurent Heutte,Luc Thiberville,Mathieu Salaün Computerized Medical Imaging and Graphics, 2012, 36, pp.264-270 Article dans une revue hal-00671981v1
Cardiac MR Assessment of Right Ventricular Function in Acquired Heart Disease: Factors of Variability. Jérôme Caudron,Jeannette Fares,Valentin Lefebvre,Pierre-Hugues Vivier,Caroline Petitjeanet al. Academic Radiology, 2012, 19 (8), pp.991-1002 Article dans une revue hal-00937505v1
Classification of endomicroscopic images of the lung based on random subwindows and extra-trees Chesner Désir,Caroline Petitjean,Laurent Heutte,Mathieu Salaün,Luc Thiberville IEEE Transactions on Biomedical Engineering, 2012, Volume 59, (Issue 9), pp. 2677- 2683. ⟨10.1109/TBME.2012.2204747⟩ Article dans une revue hal-00796593v1
Automatic cardiac image segmentation: A validation study. Damien Grosgeorge,Caroline Petitjean,Jérôme Caudron,Jeannette Fares,Jean-Nicolas Dacher International Journal of Computer Assisted Radiology and Surgery, 2011, 6, pp.573-81 Article dans une revue hal-00942611v1
An SVM distal lung image classification using texture descriptors Chesner Désir,Caroline Petitjean,Laurent Heutte,Mathieu Salaün,Luc Thiberville Computerized Medical Imaging and Graphics, 2011, 10.1016/j.compmedimag.2011.11.001. ⟨10.1016/j.compmedimag.2011.11.001⟩ Article dans une revue hal-00673369v1
A review of segmentation methods in cardiac MRI Caroline Petitjean,Jean-Nicolas Dacher Medical Image Analysis, 2011, 15 (2), pp.169-184 Article dans une revue hal-00794139v1
Diagnostic accuracy and variability of three semi-quantitative methods for assessing right ventricular systolic function from cardiac MRI in patients with acquired heart disease. Jérôme Caudron,Jeannette Fares,Pierre-Hugues Vivier,Valentin Lefebvre,Caroline Petitjeanet al. European Radiology, 2011, 21 (10), pp.2111-20. ⟨10.1007/s00330-011-2152-0⟩ Article dans une revue hal-00673389v2
Automatic cardiac ventricle segmentation in MR images: a validation study Damien Grosgeorge,Caroline Petitjean,Jérôme Caudron,Jeannette Fares,Jean-Nicolas Dacher International Journal of Computer Assisted Radiology and Surgery, 2010, pp.1. ⟨10.1007/s11548-010-0532-6⟩ Article dans une revue istex hal-00524989v1
A review of segmentation methods in short axis cardiac MR images. Caroline Petitjean,Jean-Nicolas Dacher Medical Image Analysis, 2010, epub ahead of print. ⟨10.1016/j.media.2010.12.004⟩ Article dans une revue hal-00551034v1
[Functional MR urography in children] Pierre-Hugues Vivier,Eléonore Blondiaux,Michael Dolores,Nolwenn Marouteau-Pasquier,Caroline Petitjeanet al. Journal de Radiologie, 2009, 90 (1 Pt 1), pp.11-9 Article dans une revue inserm-00474318v1
Uro-IRM fonctionnelle chez l'enfant P.-H. Vivier,M. Dolores,Isabelle Gardin,Caroline Petitjean,P. Zhanget al. Journal de Radiologie, 2009, 90, pp.11-19 Article dans une revue hal-00439137v1
In vitro assessment of a 3D segmentation algorithm based on the belief functions theory in calculating renal volumes by MRI. Pierre-Hugues Vivier,Michael Dolores,Isabelle Gardin,Peng Zhang,Caroline Petitjeanet al. American Journal of Roentgenology, 2008, 191 (3), pp.W127-34. ⟨10.2214/AJR.07.3063⟩ Article dans une revue inserm-00472947v1
In vitro assessment of a three-dimensional segmentation algorithm based on the belief functions theory in calculating renal volumes by MR imaging P.-H. Vivier,M. Dolores,Isabelle Gardin,P. Zhang,Caroline Petitjeanet al. American Journal of Roentgenology, 2008, 191, pp.127-134 Article dans une revue hal-00434331v1
Quantification of myocardial function using tagged MR and cine MR images C. Petitjean,Nicolas Rougon,P. Cluzel,Francoise Preteux,Philippe A. Grenier International Journal of Cardiovascular Imaging, 2005, 20 (6), pp.497-508 Article dans une revue hal-00273063v1
Assessment of myocardial function: A review of quantification methods and results using tagged MRI C. Petitjean,Nicolas Rougon,P. Cluzel Journal of Cardiovascular Magnetic Resonance, 2005, 7 (2), pp.501-516 Article dans une revue hal-00273062v1
A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures. Nicolas Rougon,Caroline Petitjean,Françoise Prêteux,Philippe Cluzel,Philippe Grenier Medical Image Analysis, 2005, 9 (4), pp.353-75. ⟨10.1016/j.media.2005.01.005⟩ Article dans une revue hal-00673418v1

Communication dans un congrès (75)

On a Hybrid Joint Segmentation/Multimodal Registration Model via Finite Distortion Mappings and Implicit Neural Representations Diane Chan Sock Line,Noémie Debroux,Carole Le Guyader,Caroline Petitjean Scale Space and Variational Methods in Computer Vision, May 2025, Dartington, United Kingdom. pp.179-191, ⟨10.1007/978-3-031-92369-2_14⟩ Communication dans un congrès hal-05369621v1
The Do's and Don'ts of Grad-CAM in Image Segmentation as demonstrated on the Synapse multi-organ CT Dataset Syed Nouman Hasany,Fabrice Mériaudeau,Caroline Petitjean Medical Imaging with Deep Learning, Jul 2024, Paris, France Communication dans un congrès hal-05370301v1
A Guided Tour of Post-hoc XAI Techniques in Image Segmentation Syed Nouman Hasany,Fabrice Mériaudeau,Caroline Petitjean Explainable Artificial Intelligence, Jul 2024, Malta, Malta. pp.155-177, ⟨10.1007/978-3-031-63797-1_9⟩ Communication dans un congrès hal-04728928v1
Data usage and citation practices in medical imaging conferences Théo Sourget,Ahmet Akkoç,Stinna Winther,Christine Lyngbye Galsgaard,Amelia Jiménez-Sánchezet al. Medical Imaging with Deep Learning, Jul 2024, Paris, France Communication dans un congrès hal-05370291v1
On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy Zoé Lambert,Carole Le Guyader,Caroline Petitjean SSVM 2023: Scale Space and Variational Methods in Computer Vision, May 2023, Santa Margherita di Pula (Cagliari), Italy. pp.363-375, ⟨10.1007/978-3-031-31975-4_28⟩ Communication dans un congrès hal-04456854v1
Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation? Théo Sourget,Syed Nouman Hasany,Fabrice Mériaudeau,Caroline Petitjean 27th Conference on Medical Image Understanding and Analysis 2023, Jul 2023, Aberdeen, United Kingdom. ⟨10.1007/978-3-031-48593-0_8⟩ Communication dans un congrès hal-04161509v1
Seg-XRes-CAM: Explaining Spatially Local Regions in Image Segmentation Syed Nouman Hasany,Caroline Petitjean,Fabrice Mériaudeau 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Jun 2023, Vancouver, France. pp.3733-3738, ⟨10.1109/CVPRW59228.2023.00384⟩ Communication dans un congrès hal-05370336v1
A study of attention information from transformer layers in hybrid medical image segmentation networks Syed Nouman Hasany,Caroline Petitjean,Fabrice Meriaudeau SPIE Medical Imaging, Feb 2023, San Diego, United States. ⟨10.1117/12.2652215⟩ Communication dans un congrès hal-03965497v1
A geometrically-constrained deep network for CT image segmentation Zoé Lambert,Carole Le Guyader,Caroline Petitjean IEEE International Symposium on Biomedical Imaging, Apr 2021, Nice (virtuel), France. ⟨10.1109/ISBI48211.2021.9434088⟩ Communication dans un congrès hal-03197905v1
A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation Rosana El Jurdi,Caroline Petitjean,Paul Honeine,Veronika Cheplygina,Fahed Abdallah Fourth conference on Medical Imaging with Deep Learning (MIDL), Jul 2021, Lübeck, Germany Communication dans un congrès hal-03410709v1
Analysis of the weighted Van der Waals-Cahn-Hilliard model for image segmentation Zoe Lambert,Carole Le Guyader,Caroline Petitjean 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2020, Paris, France. pp.1-6, ⟨10.1109/IPTA50016.2020.9286628⟩ Communication dans un congrès hal-04456812v1
SegTHOR: Segmentation of Thoracic Organs at Risk in CT images Zoe Lambert,Caroline Petitjean,Bernard Dubray,Su Kuan 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2020, Paris, France. pp.1-6, ⟨10.1109/IPTA50016.2020.9286453⟩ Communication dans un congrès hal-04456803v1
Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation Rosana El Jurdi,Thomas Dargent,Caroline Petitjean,Paul Honeine,Fahed Abdallah 2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA), Nov 2020, Paris, France. pp.1-5, ⟨10.1109/IPTA50016.2020.9286633⟩ Communication dans un congrès hal-03088385v1
Explainability for regression CNN in fetal head circumference estimation from ultrasound images Jing Zhang,Caroline Petitjean,Florian Yger,Samia Ainouz Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2020, Oct 2020, Lima, Peru. pp.73-82, ⟨10.1007/978-3-030-61166-8_8⟩ Communication dans un congrès hal-02960164v1
Organ Segmentation in CT Images With Weak Annotations: A Preliminary Study Rosana El Jurdi,Caroline Petitjean,Paul Honeine,Fahed Abdallah 27-ème Colloque GRETSI sur le Traitement du Signal et des Images, Aug 2019, Lille, France Communication dans un congrès hal-02183031v1
Pattern spotting in historical documents using convolutional models Ignacio Ubeda,José M. Saavedra,Stéphane Nicolas,Caroline Petitjean,Laurent Heutte 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⟩ Communication dans un congrès hal-02335779v1
Segmentation des organes á risque en imagerie scanner par architecture sharpmask et crf. Roger Trullo,Caroline Petitjean,Su Ruan,Bernard Dubray,Nie Donget al. GRETSI, 2017, Juan-Les-Pins, France Communication dans un congrès hal-02117738v1
Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures Roger Trullo,Caroline Petitjean,Dong Nie,Dinggang Shen,Su Ruan MICCAI’17 workshop Deep Learning in Medical Image Analysis, 2017, Quebec, Canada. pp.21-29 Communication dans un congrès hal-02113933v1
Deep features for breast cancer histopathological image classification Fabio Spanhol,Luiz S. Oliveira,Paulo Cavalin,Caroline Petitjean,Laurent Heutte 2017 IEEE International Conference on Systems, Man and Cybernetics (SMC), Oct 2017, Banff, Canada. pp.1868-1873 Communication dans un congrès hal-02113824v1
Fully automated esophagus segmentation with a hierarchical deep learning approach Roger Trullo,Caroline Petitjean,Dong Nie,Dinggang Shen,Su Ruan 2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), Sep 2017, Kuching, Malaysia. pp.503-506 Communication dans un congrès hal-02113939v1
SEGMENTATION OF ORGANS AT RISK IN THORACIC CT IMAGES USING A SHARPMASK ARCHITECTURE AND CONDITIONAL RANDOM FIELDS Roger Trullo,Caroline Petitjean,Su Ruan,Dong Nie,Dinggang Shenet al. IEEE Internation Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia. pp.1003-1006, ⟨10.1109/ISBI.2017.7950685⟩ Communication dans un congrès hal-01650973v1
Medical image synthesis with context-aware generative adversarial networks Nie Dong,Roger Trullo,Lian Jun,Caroline Petitjean,Su Ruanet al. Miccai, Sep 2017, Quebec, Canada Communication dans un congrès hal-01676320v1
Pattern localization in historical document images via template matching Sovann En,Caroline Petitjean,Stéphane Nicolas,Laurent Heutte,Frédéric Jurie 2016 23rd International Conference on Pattern Recognition (ICPR), Dec 2016, Cancun, Mexico. pp.2054-2059 Communication dans un congrès hal-02113982v1
Polarization-based specularity removal method with global energy minimization Fan Wang,Samia Ainouz,Caroline Petitjean,Abdelaziz Bensrhair 2016 IEEE International Conference on Image Processing (ICIP), Sep 2016, Phoenix, United States. pp.1983-1987, ⟨10.1109/ICIP.2016.7532705⟩ Communication dans un congrès hal-02113807v1
Region Proposal for Pattern Spotting in Historical Document Images Sovann En,Caroline Petitjean,Stéphane Nicolas,Laurent Heutte,Frédéric Jurie 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), Oct 2016, Shenzhen, China. pp.367-372 Communication dans un congrès hal-02113978v1
Breast cancer histopathological image classification using Convolutional Neural Networks Fabio Alexandre Spanhol,Luiz F.L. Oliveira,Caroline Petitjean,Laurent Heutte 2016 International Joint Conference on Neural Networks (IJCNN), Jul 2016, Vancouver, Canada. pp.2560-2567 Communication dans un congrès hal-02113849v1
Segmentation-free pattern spotting in historical document images Sovann En,Caroline Petitjean,Stéphane Nicolas,Laurent Heutte 2015 13th International Conference on Document Analysis and Recognition (ICDAR), Aug 2015, Tunis, Tunisia. pp.606-610 Communication dans un congrès hal-02113994v1
Détection de motifs graphiques dans des images de documents anciens Sovann En,Caroline Petitjean,Stéphane Nicolas,Laurent Heutte GRETSI, 2015, Lyon, France Communication dans un congrès hal-02114004v1
Linear Discriminant Analysis for Zero-shot Learning Image Retrieval Sovann En,Frédéric Jurie,Stéphane Nicolas,Caroline Petitjean,Laurent Heutte International Conference on Computer Vision Theory and Applications, Mar 2015, Berlin, Germany. pp.70-77 Communication dans un congrès hal-02113997v1
Shape prior based image segmentation using manifold learning Arturo Mendoza Quispe,Caroline Petitjean IEEE Image Processing, Tools and Applications, Nov 2015, Orléans, France Communication dans un congrès hal-01216823v1
Robust optimal feature selection for lung tumor recurrence prediction in PET imaging S. Ruan,H. Mi,C. Petitjean,H. Li,Hc. Chenet al. In Annual Meeting of the American Society for Radiation Oncology, 2015, San Antonio, United States Communication dans un congrès hal-01659549v1
Segmentation par coupes de graphe multi-labels avec a priori de forme Damien Grosgeorge,Caroline Petitjean,Su Ruan Reconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, France Communication dans un congrès hal-00988749v1
Joint Segmentation of Right and Left Cardiac Ventricles Using Multi-Label Graph Cut Damien Grosgeorge,Caroline Petitjean,Su Ruan IEEE International Symposium on Biomedical Imaging, Apr 2014, Beijing, China Communication dans un congrès hal-00949781v1
Robust feature selection to predict tumor treatment outcome. Computational Methods for Molecular Imaging Hongmei Mi,Caroline Petitjean,Pierre Vera,Su Ruan MICCAI Workshop, Sep 2014, Boston, United States Communication dans un congrès hal-01144677v1
3D automated lymphoma segmentation in PET images based on cellular automata Paul Desbordes,Caroline Petitjean,Su Ruan International Conference on Image Processing Theory, Tools and Applications, 2014, Paris, France Communication dans un congrès hal-01153459v1
Segmentation automatique de tumeur par marche aléatoire basé sur un modèle de croissance de tumeur Hongmei Mi,Caroline Petitjean,Bernard Dubray,Pierre Vera,Su Ruan Reconnaissance de formes et intelligence artificielle (RFIA) 2014, Jun 2014, France Communication dans un congrès hal-00988589v1
Robust Feature Selection to Predict Tumor Treatment Outcome Hongmei Mi,Caroline Petitjean,Pierre Vera,Su Ruan Computational Methods for Molecular Imaging, International Conference on Medical Image Computing and Computer Assisted Intervention workshop, 2014, Boston, United States Communication dans un congrès hal-01153463v1
Automatic Lung Tumor Segmentation on PET Images Based on Random Walks and Tumor Growth Model Mi Hongmei,Caroline Petitjean,Pierre Vera,Bernard Dubray,Su Ruan IEEE International Symposium on Biomedical Imaging, Apr 2014, Beijing, China Communication dans un congrès hal-00949806v1
Prédiction de l’évolution de tumeurs pulmonaires en imagerie TEP Hongmei Mi,Caroline Petitjean,Su Ruan,Bernard Dubray,Pierre Vera Colloque du Groupe d’Etudes du Traitement du Signal et des Images, 2013, Brest, France Communication dans un congrès hal-01154297v1
Prediction lung tumor evolution during radiotherapy from pet images using a patient specific model. H. Mi,C. Petitjean,S. Ruan,P. Vera,B. Dubray IEEE International Symposium on Biomedical Imaging, 2013, San Francisco, United States. pp.1404-7 Communication dans un congrès hal-00944339v1
A new random forest method for one class classification Chesner Désir,Simon Bernard,Caroline Petitjean,Laurent Heutte 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 Communication dans un congrès hal-00794153v1
Detection of pathological condition in distal lung images David Hébert,Chesner Désir,Caroline Petitjean,Laurent Heutte,Luc Thiberville International Symposium on Biomedical Imaging, 2012, France Communication dans un congrès hal-00794188v1
Segmentation d'images par coupe de graphe avec a priori de forme Damien Grosgeorge,Caroline Petitjean,Su Ruan RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), 2012, Lyon, France Communication dans un congrès hal-00949854v1
Segmentation d'images par coupe de graphe avec a priori de forme Damien Grosgeorge,Caroline Petitjean,Su Ruan RFIA, Jan 2012, Lyon, France. pp.CD-ROM Communication dans un congrès hal-00673396v1
Right ventricle segmentation by graph cut with shape prior Damien Grosgeorge,Caroline Petitjean,Su Ruan,Jérôme Caudron,Jean-Nicolas Dacher 3D Cardiovascular Imaging : a MICCAI segementation challenge, Oct 2012, Nice, France Communication dans un congrès hal-00794180v1
Right ventricle segmentation in cardiac MRI : a MICCAI'12 challenge Caroline Petitjean,Su Ruan,Damien Grosgeorge,Jérôme Caudron,Jean-Nicolas Dacher 3D Cardiovascular Imaging : a MICCAI segmentation challenge, Oct 2012, Nice, France Communication dans un congrès hal-00794175v1
A random forest based approach for one class classification in medical imaging Chesner Désir,Simon Bernard,Caroline Petitjean,Laurent Heutte 3rd MICCAI International Workshop on Machine Learning in Medical Imaging (MLMI), 2012, Nice, France. pp.250-257 Communication dans un congrès hal-00794160v1
Segmentation d'images par coupe de graphe avec a priori de forme Damien Grosgeorge,Caroline Petitjean,Su Ruan RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. pp.978-2-9539515-2-3 Communication dans un congrès hal-00656508v1
Segmentation d’images par coupe de graphe avec a priori de forme Damien Grosgeorge,Caroline Petitjean,Su Ruan Congrès National sur la Reconnaissance de Formes et l’Intelligence Artificielle, 2012, Lyon, France Communication dans un congrès hal-01154360v1
Manual vs automatic classification of endomicroscopic images of the distal lung Caroline Petitjean,Chesner Désir,Luc Thiberville,G. Lettier,Laurent Heutte Proceedings of International Congress and exhibition on Computer Assisted Radiology and Surgery, 2011, Berlin, Germany Communication dans un congrès hal-00794192v1
Using a priori knowledge to classify in vivo images of the lung Chesner Désir,Caroline Petitjean,Laurent Heutte,Luc Thiberville International Conference on Intelligent Computing, Sep 2010, Changsha, China. pp.207-212 Communication dans un congrès hal-00536322v1
Classification d'images alvéoscopiques par extra-trees Benoît Lelandais,Chesner Désir,Caroline Petitjean,Laurent Heutte,Luc Thiberville RFIA, Jan 2010, Caen, France Communication dans un congrès hal-00474507v1
Using a priori knowledge to classify in vivo images of the lung Chesner Désir,Caroline Petitjean,Laurent Heutte,Luc Thiberville International Conference on Intelligent Computing, 2010, Changsha, China. pp.207-212 Communication dans un congrès hal-00946613v1
Characterization of endomicroscopic images of the distal lung for computer-aided diagnosis Aurélien Saint-Réquier,Benoît Lelandais,Caroline Petitjean,Chesner Désir,Laurent Heutteet al. International Conference on Intelligent Computing, Sep 2009, Ulsan, South Korea. pp.994-1003 Communication dans un congrès hal-00439110v1
A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes Caroline Petitjean,Régis Kouadio,Laurent Heutte,Vincent Delcourt IbPRIA, Jun 2009, Povoa de Varzim, Portugal. pp.225-232 Communication dans un congrès hal-00439131v1
Extraction automatique de pendules dans des images de caténaire Caroline Petitjean,Laurent Heutte,Vincent Delcourt,Régis Kouadio 22ème Colloque GRETSI sur le Traitement du Signal et des Images, Sep 2009, Dijon, France. pp.296 Communication dans un congrès hal-00439142v1
Automatic Extraction of Droppers in Catenary Scenes Caroline Petitjean,Laurent Heutte,Vincent Delcourt,Régis Kouadio IAPR Conference on Machine Vision Applications, May 2009, Yokohama, Japan. pp.497-500 Communication dans un congrès hal-00439133v1
Classification of In-vivo Endomicroscopic Images of the Alveolar Respiratory System Caroline Petitjean,Jonathan Benoist,Luc Thiberville,Mathieu Salaün,Laurent Heutte IAPR Conference on Machine Vision Applications (MVA), May 2009, Yokohama, Japan. pp.471-474 Communication dans un congrès hal-00439139v1
Classification d'images endomicroscopiques du système respiratoire alvéolaire Caroline Petitjean,Jonathan Benoist,Luc Thiberville,Mathieu Salaün,Laurent Heutte 22ème Colloque GRETSI sur le Traitement du Signal et des Images, Sep 2009, Dijon, France. pp.299 Communication dans un congrès hal-00439141v1
Automatic classification of in vivo distal lung images for computer-aided diagnosis Caroline Petitjean,Chesner Désir,Mathieu Salaün,Luc Thiberville,Laurent Heutte Medical Image Understanding and Analysis, Jul 2009, Londres, United Kingdom. pp.26 Communication dans un congrès hal-00439138v1
Automatic extraction of information for catenary scene analysis Florent Montreuil,Régis Kouadio,Caroline Petitjean,Laurent Heutte,Vincent Delcourt Proceedings of the 16th European Signal Processing Conference (EUSIPCO'08), Aug 2008, Lausanne, Switzerland. pp.0 Communication dans un congrès hal-00439135v1
Video based catenary inspection for preventive maintenance on iris 320. Régis Kouadio,Vincent Delcourt,Laurent Heutte,Caroline Petitjean World Congress of Railway Research, May 2008, Séoul, South Korea Communication dans un congrès hal-00474613v1
A statistical motion atlas for dynamically asessing myocardial function in MRI C. Petitjean,Nicolas Rougon,P. Cluzel,Francoise Preteux,Philippe A. Grenier Annual SCMR Scientific Sessions / Euro CMR 2004 Meeting, Feb 2004, Barcelona, Spain. pp.122-123 Communication dans un congrès hal-00273602v1
Building and using a statistical 3D motion atlas for analyzing myocardial contraction in MRI C. Petitjean,Nicolas Rougon,Francoise Preteux Conference on Image Processing - SPIE International Symposium Medical Imaging'04, Feb 2004, San Diego, CA, United States. pp.253-264 Communication dans un congrès hal-00273599v1
Automated 3D measurement of myocardial contraction from tagged MR sequences C. Petitjean,Nicolas Rougon,Francoise Preteux,Ph. Cluzel,Pilippe Grenier 89th Scientific Assembly and Annual Meeting (RSNA'2003), Dec 2003, Chicago, United States. pp.414 Communication dans un congrès hal-00272980v1
A non rigid registration approach for measuring myocardial contraction in tagged MRI using exclusive f-information Caroline Petitjean,Nicolas Rougon,Francoise Preteux,Philippe Cluzel,Philippe Grenier ICISP 2003 : International Conference on Image and Signal Processing, Jun 2003, Agadir, Morocco. pp.145 - 152 Communication dans un congrès hal-01331969v1
Measuring myocardial deformations in tagged-MR image sequences using informational non rigid registration C. Petitjean,Nicolas Rougon,Francoise Preteux,Ph. Cluzel,Philippe A. Grenier Second International Workshop on Functional Imaging and Modeling of the Heart (FIMH'2003), Jun 2003, Lyon, France. pp.162-172 Communication dans un congrès hal-00273024v1
Recalage variationnel non rigide d'images par f-information exclusive Nicolas Rougon,C. Petitjean,Francoise Preteux Actes 19e Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI'2003), Sep 2003, Paris, France. pp.165-168 Communication dans un congrès hal-00272955v1
Variational non rigid image registration using exclusive f-information Nicolas Rougon,C. Petitjean,Francoise Preteux International Conference on Image Processing (ICIP'2003), Sep 2003, Barcelona, Spain. pp.703-706 Communication dans un congrès hal-00272997v1
Measuring myocardial deformations from MR data using information-theoretic nonrigid registration Caroline Petitjean,Nicolas Rougon,Francoise Preteux,Philippe Cluzel,Philippe Grenier CARS 2003 : 17th International Congress and Exhibition on Computer Assisted Radiology and Surgery, Jun 2003, Londres, United Kingdom. pp.1159 - 1164, ⟨10.1016/S0531-5131(03)00517-X⟩ Communication dans un congrès istex hal-01331970v1
Measuring myocardial deformations from MR data using information-theoretic non rigid registration C. Petitjean,Nicolas Rougon,Francoise Preteux,Philippe Clauzel,Philippe A. Grenier 17th International Congress and Exhibition on Computer Assisted Radiology and Surgery (CARS'2003), Jun 2003, London, United Kingdom. pp.1159-1164 Communication dans un congrès hal-00273021v1
Benchmarking non-rigid registration techniques for the quantitative analysis of myocardial function in tagged-MR imaging C. Petitjean,Nicolas Rougon,P. Cluzel,Francoise Preteux,Philippe A. Grenier European Congress of Radiology 2002 (ECR'2002), Mar 2002, Vienna, Austria Communication dans un congrès hal-00272216v1
Recalage non rigides par mesures d'information généralisées Nicolas Rougon,C. Petitjean,Francoise Preteux Journée Thématique GDR MSPC, Apr 2002, Paris, France Communication dans un congrès hal-00272258v1
Level set for face feature extraction: Application to lip tracking Patrice Delmas,Caroline Petitjean Image and Vision Computing New Zealand, Nov 2002, Auckland, New Zealand. pp.0 Communication dans un congrès hal-00439145v1
Evaluation de techniques de recalage non rigide pour l'analyse quantitative de la fonction contractile myocardique en IRM de marquage C. Petitjean,Nicolas Rougon,P. Cluzel,Francoise Preteux,Philippe A. Grenier Journées Francaises de Radiologie (JFR'2002), Oct 2002, Paris, France Communication dans un congrès hal-00272228v1

Chapitre d'ouvrage (2)

Blending variational approaches and deep learning to enforce prior constraints in medical image segmentation Zoé Lambert,Caroline Petitjean,Carole Le Guyader Less-supervised Segmentation with CNNs, Elsevier, pp.217-235, 2026, ⟨10.1016/B978-0-32-395674-1.00017-2⟩ Chapitre d'ouvrage hal-05370323v1
PRUNING TREES IN RANDOM FORESTS FOR MINIMIZING NON DETECTION IN MEDICAL IMAGING Laurent Heutte,Caroline Petitjean,Chesner Désir Handbook of Pattern Recognition and Computer Vision, 5, WORLD SCIENTIFIC, pp.89-107, 2016 Chapitre d'ouvrage hal-02113970v1

Autre publication scientifique (2)

Assessment of myocardial function: A review of quantification methods and results using tagged MRI C. Petitjean,P. Cluzel,Nicolas Rougon 2003 Autre publication scientifique hal-00273036v1
Non rigid image registration using generalized information measures C. Petitjean,Nicolas Rougon,Francoise Preteux 2002 Autre publication scientifique hal-00272261v1

Pré-publication, Document de travail (3)

MiSuRe is all you need to explain your image segmentation Syed Nouman Hasany,Fabrice Mériaudeau,Caroline Petitjean 2026 Pré-publication, Document de travail hal-05370304v1
Biomedical image analysis competitions: The state of current participation practice Matthias Eisenmann,Annika Reinke,Vivienn Weru,Minu Dietlinde Tizabi,Fabian Isenseeet al. 2025 Pré-publication, Document de travail hal-05370330v1
Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images Alain Rakotomamonjy,Caroline Petitjean,Mathieu Salaün,Luc Thiberville 2013 Pré-publication, Document de travail hal-00820354v3

Thèse (2)

Recalage non rigide d'images par approches variationnelles statistiques - Application à l'analyse et à la modélisation de la fonction myocardique en IRM Caroline Petitjean Interface homme-machine [cs.HC]. Université René Descartes - Paris V, 2003. Français. ⟨NNT : ⟩ Thèse tel-00003631v1
Recalage non rigide d'images par approches variationnelles statistiques. Application à l'analyse et à la modélisation de la fonction myocardique en IRM Caroline Petitjean Informatique [cs]. Université René Descartes - Paris V, 2003. Français. ⟨NNT : ⟩ Thèse tel-00273241v1