CP
Caroline Petitjean
110
Documents
Présentation
Publications
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A study of attention information from transformer layers in hybrid medical image segmentation networksSPIE Medical Imaging, Feb 2023, San Diego, United States. ⟨10.1117/12.2652215⟩
Communication dans un congrès
hal-03965497v1
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Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation?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
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On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to RadiotherapySSVM 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
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A Surprisingly Effective Perimeter-based Loss for Medical Image SegmentationFourth conference on Medical Imaging with Deep Learning (MIDL), Jul 2021, Lübeck, Germany
Communication dans un congrès
hal-03410709v1
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A geometrically-constrained deep network for CT image segmentationIEEE International Symposium on Biomedical Imaging, Apr 2021, Nice (virtuel), France. ⟨10.1109/ISBI48211.2021.9434088⟩
Communication dans un congrès
hal-03197905v1
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Explainability for regression CNN in fetal head circumference estimation from ultrasound imagesWorkshop 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
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Organ Segmentation in CT Images With Weak Annotations: A Preliminary Study27-ème Colloque GRETSI sur le Traitement du Signal et des Images, Aug 2019, Lille, France
Communication dans un congrès
hal-02183031v1
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Pattern spotting in historical documents using convolutional models5th International Workshop on Historical Document Imaging and Processing, HIP 2019, Sydney, Australia, Sept 2019, ICDAR2019, Sep 2019, Sydney, Australia.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
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Deep features for breast cancer histopathological image classification2017 IEEE International Conference on Systems, Man and Cybernetics (SMC), Oct 2017, Banff, Canada. pp.1868-1873
Communication dans un congrès
hal-02113824v1
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Fully automated esophagus segmentation with a hierarchical deep learning approach2017 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), Sep 2017, Kuching, Malaysia. pp.503-506
Communication dans un congrès
hal-02113939v1
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SEGMENTATION OF ORGANS AT RISK IN THORACIC CT IMAGES USING A SHARPMASK ARCHITECTURE AND CONDITIONAL RANDOM FIELDSIEEE Internation Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia. pp.1003-1006, ⟨10.1109/ISBI.2017.7950685⟩
Communication dans un congrès
hal-01650973v1
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Medical image synthesis with context-aware generative adversarial networksMiccai, Sep 2017, Quebec, Canada
Communication dans un congrès
hal-01676320v1
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Segmentation des organes á risque en imagerie scanner par architecture sharpmask et crf.GRETSI, 2017, Juan-Les-Pins, France
Communication dans un congrès
hal-02117738v1
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Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep ArchitecturesMICCAI’17 workshop Deep Learning in Medical Image Analysis, 2017, Quebec, Canada. pp.21-29
Communication dans un congrès
hal-02113933v1
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Region Proposal for Pattern Spotting in Historical Document Images2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), Oct 2016, Shenzhen, China. pp.367-372
Communication dans un congrès
hal-02113978v1
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Polarization-based specularity removal method with global energy minimization2016 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
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Pattern localization in historical document images via template matching2016 23rd International Conference on Pattern Recognition (ICPR), Dec 2016, Cancun, Mexico. pp.2054-2059
Communication dans un congrès
hal-02113982v1
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Breast cancer histopathological image classification using Convolutional Neural Networks2016 International Joint Conference on Neural Networks (IJCNN), Jul 2016, Vancouver, Canada. pp.2560-2567
Communication dans un congrès
hal-02113849v1
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Robust optimal feature selection for lung tumor recurrence prediction in PET imagingIn Annual Meeting of the American Society for Radiation Oncology, 2015, San Antonio, United States
Communication dans un congrès
hal-01659549v1
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Linear Discriminant Analysis for Zero-shot Learning Image RetrievalInternational Conference on Computer Vision Theory and Applications, Mar 2015, Berlin, Germany. pp.70-77
Communication dans un congrès
hal-02113997v1
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Shape prior based image segmentation using manifold learningIEEE Image Processing, Tools and Applications, Nov 2015, Orléans, France
Communication dans un congrès
hal-01216823v1
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Segmentation-free pattern spotting in historical document images2015 13th International Conference on Document Analysis and Recognition (ICDAR), Aug 2015, Tunis, Tunisia. pp.606-610
Communication dans un congrès
hal-02113994v1
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Détection de motifs graphiques dans des images de documents anciensGRETSI, 2015, Lyon, France
Communication dans un congrès
hal-02114004v1
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Joint Segmentation of Right and Left Cardiac Ventricles Using Multi-Label Graph CutIEEE International Symposium on Biomedical Imaging, Apr 2014, Beijing, China
Communication dans un congrès
hal-00949781v1
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Segmentation automatique de tumeur par marche aléatoire basé sur un modèle de croissance de tumeurReconnaissance de formes et intelligence artificielle (RFIA) 2014, Jun 2014, France
Communication dans un congrès
hal-00988589v1
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Automatic Lung Tumor Segmentation on PET Images Based on Random Walks and Tumor Growth ModelIEEE International Symposium on Biomedical Imaging, Apr 2014, Beijing, China
Communication dans un congrès
hal-00949806v1
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Robust Feature Selection to Predict Tumor Treatment OutcomeComputational 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
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Segmentation par coupes de graphe multi-labels avec a priori de formeReconnaissance de Formes et Intelligence Artificielle (RFIA) 2014, Jun 2014, France
Communication dans un congrès
hal-00988749v1
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3D automated lymphoma segmentation in PET images based on cellular automataInternational Conference on Image Processing Theory, Tools and Applications, 2014, Paris, France
Communication dans un congrès
hal-01153459v1
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Robust feature selection to predict tumor treatment outcome. Computational Methods for Molecular ImagingMICCAI Workshop, Sep 2014, Boston, United States
Communication dans un congrès
hal-01144677v1
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Prédiction de l’évolution de tumeurs pulmonaires en imagerie TEPColloque du Groupe d’Etudes du Traitement du Signal et des Images, 2013, Brest, France
Communication dans un congrès
hal-01154297v1
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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
Communication dans un congrès
hal-00944339v1
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Segmentation d'images par coupe de graphe avec a priori de formeRFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. pp.978-2-9539515-2-3
Communication dans un congrès
hal-00656508v1
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A random forest based approach for one class classification in medical imaging3rd MICCAI International Workshop on Machine Learning in Medical Imaging (MLMI), 2012, Nice, France. pp.250-257
Communication dans un congrès
hal-00794160v1
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Segmentation d’images par coupe de graphe avec a priori de formeCongrès National sur la Reconnaissance de Formes et l’Intelligence Artificielle, 2012, Lyon, France
Communication dans un congrès
hal-01154360v1
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Segmentation d'images par coupe de graphe avec a priori de formeRFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), 2012, Lyon, France
Communication dans un congrès
hal-00949854v1
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Detection of pathological condition in distal lung imagesInternational Symposium on Biomedical Imaging, 2012, France
Communication dans un congrès
hal-00794188v1
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A new random forest method for one class classificationJoint 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
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Segmentation d'images par coupe de graphe avec a priori de formeRFIA, Jan 2012, Lyon, France. pp.CD-ROM
Communication dans un congrès
hal-00673396v1
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Right ventricle segmentation by graph cut with shape prior3D Cardiovascular Imaging : a MICCAI segementation challenge, Oct 2012, Nice, France
Communication dans un congrès
hal-00794180v1
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Right ventricle segmentation in cardiac MRI : a MICCAI'12 challenge3D Cardiovascular Imaging : a MICCAI segmentation challenge, Oct 2012, Nice, France
Communication dans un congrès
hal-00794175v1
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Manual vs automatic classification of endomicroscopic images of the distal lungProceedings of International Congress and exhibition on Computer Assisted Radiology and Surgery, 2011, Berlin, Germany
Communication dans un congrès
hal-00794192v1
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Using a priori knowledge to classify in vivo images of the lungInternational Conference on Intelligent Computing, 2010, Changsha, China. pp.207-212
Communication dans un congrès
hal-00946613v1
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Using a priori knowledge to classify in vivo images of the lungInternational Conference on Intelligent Computing, Sep 2010, Changsha, China. pp.207-212
Communication dans un congrès
hal-00536322v1
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Classification d'images alvéoscopiques par extra-treesRFIA, Jan 2010, Caen, France
Communication dans un congrès
hal-00474507v1
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Automatic classification of in vivo distal lung images for computer-aided diagnosisMedical Image Understanding and Analysis, Jul 2009, Londres, United Kingdom. pp.26
Communication dans un congrès
hal-00439138v1
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Classification d'images endomicroscopiques du système respiratoire alvéolaire22ème Colloque GRETSI sur le Traitement du Signal et des Images, Sep 2009, Dijon, France. pp.299
Communication dans un congrès
hal-00439141v1
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Automatic Extraction of Droppers in Catenary ScenesIAPR Conference on Machine Vision Applications, May 2009, Yokohama, Japan. pp.497-500
Communication dans un congrès
hal-00439133v1
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Classification of In-vivo Endomicroscopic Images of the Alveolar Respiratory SystemIAPR Conference on Machine Vision Applications (MVA), May 2009, Yokohama, Japan. pp.471-474
Communication dans un congrès
hal-00439139v1
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Characterization of endomicroscopic images of the distal lung for computer-aided diagnosisInternational Conference on Intelligent Computing, Sep 2009, Ulsan, South Korea. pp.994-1003
Communication dans un congrès
hal-00439110v1
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A Top-Down Approach for Automatic Dropper Extraction in Catenary ScenesIbPRIA, Jun 2009, Povoa de Varzim, Portugal. pp.225-232
Communication dans un congrès
hal-00439131v1
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Extraction automatique de pendules dans des images de caténaire22ème Colloque GRETSI sur le Traitement du Signal et des Images, Sep 2009, Dijon, France. pp.296
Communication dans un congrès
hal-00439142v1
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Video based catenary inspection for preventive maintenance on iris 320.World Congress of Railway Research, May 2008, Séoul, South Korea
Communication dans un congrès
hal-00474613v1
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Automatic extraction of information for catenary scene analysisProceedings of the 16th European Signal Processing Conference (EUSIPCO'08), Aug 2008, Lausanne, Switzerland. pp.0
Communication dans un congrès
hal-00439135v1
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Building and using a statistical 3D motion atlas for analyzing myocardial contraction in MRIConference 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
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A statistical motion atlas for dynamically asessing myocardial function in MRIAnnual SCMR Scientific Sessions / Euro CMR 2004 Meeting, Feb 2004, Barcelona, Spain. pp.122-123
Communication dans un congrès
hal-00273602v1
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Measuring myocardial deformations in tagged-MR image sequences using informational non rigid registrationSecond 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
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Measuring myocardial deformations from MR data using information-theoretic non rigid registration17th 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
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Automated 3D measurement of myocardial contraction from tagged MR sequences89th Scientific Assembly and Annual Meeting (RSNA'2003), Dec 2003, Chicago, United States. pp.414
Communication dans un congrès
hal-00272980v1
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Variational non rigid image registration using exclusive f-informationInternational Conference on Image Processing (ICIP'2003), Sep 2003, Barcelona, Spain. pp.703-706
Communication dans un congrès
hal-00272997v1
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Recalage variationnel non rigide d'images par f-information exclusiveActes 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
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Recalage non rigides par mesures d'information généraliséesJournée Thématique GDR MSPC, Apr 2002, Paris, France
Communication dans un congrès
hal-00272258v1
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Evaluation de techniques de recalage non rigide pour l'analyse quantitative de la fonction contractile myocardique en IRM de marquageJournées Francaises de Radiologie (JFR'2002), Oct 2002, Paris, France
Communication dans un congrès
hal-00272228v1
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Benchmarking non-rigid registration techniques for the quantitative analysis of myocardial function in tagged-MR imagingEuropean Congress of Radiology 2002 (ECR'2002), Mar 2002, Vienna, Austria
Communication dans un congrès
hal-00272216v1
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Level set for face feature extraction: Application to lip trackingImage and Vision Computing New Zealand, Nov 2002, Auckland, New Zealand. pp.0
Communication dans un congrès
hal-00439145v1
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PRUNING TREES IN RANDOM FORESTS FOR MINIMIZING NON DETECTION IN MEDICAL IMAGINGHandbook of Pattern Recognition and Computer Vision, 5, WORLD SCIENTIFIC, pp.89-107, 2016
Chapitre d'ouvrage
hal-02113970v1
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Assessment of myocardial function: A review of quantification methods and results using tagged MRI2003
Autre publication scientifique
hal-00273036v1
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Non rigid image registration using generalized information measures2002
Autre publication scientifique
hal-00272261v1
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Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images2013
Pré-publication, Document de travail
hal-00820354v3
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Recalage non rigide d'images par approches variationnelles statistiques. Application à l'analyse et à la modélisation de la fonction myocardique en IRMInformatique [cs]. Université René Descartes - Paris V, 2003. Français. ⟨NNT : ⟩
Thèse
tel-00273241v1
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Recalage non rigide d'images par approches variationnelles statistiques - Application à l'analyse et à la modélisation de la fonction myocardique en IRMInterface homme-machine [cs.HC]. Université René Descartes - Paris V, 2003. Français. ⟨NNT : ⟩
Thèse
tel-00003631v1
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