Measuring myocardial deformations from MR data using information-theoretic non rigid registration. - Caroline Petitjean; Nicolas Rougon; Françoise J. Prêteux; Philippe Cluzel; Philippe Grenier (CARS, 2003)

Measuring Myocardial Deformations in Tagged MR Image Sequences Using Informational Non-rigid Registration. - Caroline Petitjean; Nicolas Rougon; Françoise J. Prêteux; Philippe Cluzel; Philippe Grenier (FIMH, 2003)

Variational non rigid image registration using exclusive F-information. - Nicolas Rougon; Caroline Petitjean; Françoise J. Prêteux (ICIP (2), 2003)

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 (2003)

Building and using a statistical 3D motion atlas for analyzing myocardial contraction in MRI. - Nicolas F. Rougon; Caroline Petitjean; Françoise J. Prêteux (Image Processing, 2004)

A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures. - Nicolas Rougon; Caroline Petitjean; Françoise J. Prêteux; Philippe Cluzel; Philippe Grenier (Medical Image Anal., 2005)

Automatic extraction of information for catenary scene analysis. - Florent Montreuil; Régis Kouadio; Caroline Petitjean; Laurent Heutte; Vincent Delcourt (EUSIPCO, 2008)

A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes. - Caroline Petitjean; Laurent Heutte; Régis Kouadio; Vincent Delcourt (IbPRIA, 2009)

Characterization of Endomicroscopic Images of the Distal Lung for Computer-Aided Diagnosis. - Aurélien Saint-Réquier; Benoît Lelandais; Caroline Petitjean; Chesner Désir; Laurent Heutte; Mathieu Salaün; Luc Thiberville (ICIC (1), 2009)

Classification of In-Vivo Endomicroscopic Images of the Alveolar Respiratory System. - Caroline Petitjean; Jonathan Benoist; Luc Thiberville; Mathieu Salaün; Laurent Heutte (MVA, 2009)

Automatic Extraction of Droppers in Catenary Scenes. - Caroline Petitjean; Laurent Heutte; Régis Kouadio; Vincent Delcourt (MVA, 2009)

Using a Priori Knowledge to Classify in Vivo Images of the Lung. - Chesner Désir; Caroline Petitjean; Laurent Heutte; Luc Thiberville (ICIC (2), 2010)

Automatic cardiac ventricle segmentation in MR images: a validation study. - Damien Grosgeorge; Caroline Petitjean; Jérôme Caudron; Jeannette Fares; Jean-Nicolas Dacher (Int. J. Comput. Assist. Radiol. Surg., 2011)

A review of segmentation methods in short axis cardiac MR images. - Caroline Petitjean; Jean-Nicolas Dacher (Medical Image Anal., 2011)

Detection of pathological condition in distal lung images. - David Hebert; Chesner Désir; Caroline Petitjean; Laurent Heutte; Luc Thiberville (ISBI, 2012)

A Random Forest Based Approach for One Class Classification in Medical Imaging. - Chesner Désir; Simon Bernard 001; Caroline Petitjean; Laurent Heutte (MLMI, 2012)

A New Random Forest Method for One-Class Classification. - Chesner Désir; Simon Bernard 001; Caroline Petitjean; Laurent Heutte (SSPR/SPR, 2012)

An SVM-based distal lung image classification using texture descriptors. - Chesner Désir; Caroline Petitjean; Laurent Heutte; Luc Thiberville; Mathieu Salaün (Comput. Medical Imaging Graph., 2012)

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 Trans. Biomed. Eng., 2012)

Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model. - Hongmei Mi; Caroline Petitjean; Su Ruan; Pierre Vera; Bernard Dubray (ISBI, 2013)

Esophagus Segmentation from 3D CT Data Using Skeleton Prior-Based Graph Cut. - Damien Grosgeorge; Caroline Petitjean; Bernard Dubray; Su Ruan (Comput. Math. Methods Medicine, 2013)

Graph cut segmentation with a statistical shape model in cardiac MRI. - Damien Grosgeorge; Caroline Petitjean; Jean-Nicolas Dacher; Su Ruan (Comput. Vis. Image Underst., 2013)

One class random forests. - Chesner Désir; Simon Bernard 001; Caroline Petitjean; Laurent Heutte (Pattern Recognit., 2013)

3D automated lymphoma segmentation in PET images based on cellular automata. - Paul Desbordes; Caroline Petitjean; Su Ruan (IPTA, 2014)

Joint segmentation of right and left cardiac ventricles using multi-label graph cut. - Damien Grosgeorge; Caroline Petitjean; Su Ruan (ISBI, 2014)

Automatic lung tumor segmentation on PET images based on random walks and tumor growth model. - Hongmei Mi; Caroline Petitjean; Bernard Dubray; Pierre Vera; Su Ruan (ISBI, 2014)

Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images. - Alain Rakotomamonjy; Caroline Petitjean; Mathieu Salaün; Luc Thiberville (Artif. Intell. Medicine, 2014)

Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET. - Hongmei Mi; Caroline Petitjean; Bernard Dubray; Pierre Vera; Su Ruan (IEEE Trans. Medical Imaging, 2014)

Segmentation-free pattern spotting in historical document images. - Sovann En; Caroline Petitjean; Stéphane Nicolas; Laurent Heutte (ICDAR, 2015)

Shape prior based image segmentation using manifold learning. - Arturo Mendoza Quispe; Caroline Petitjean (IPTA, 2015)

Linear Discriminant Analysis for Zero-shot Learning Image Retrieval. - Sovann En; Frédéric Jurie; Stéphane Nicolas; Caroline Petitjean; Laurent Heutte (VISAPP (2), 2015)

Robust feature selection to predict tumor treatment outcome. - Hongmei Mi; Caroline Petitjean; Bernard Dubray; Pierre Vera; Su Ruan (Artif. Intell. Medicine, 2015)

Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images. - Hongmei Mi; Caroline Petitjean; Pierre Vera; Su Ruan (Medical Image Anal., 2015)

Right ventricle segmentation from cardiac MRI: A collation study. - Caroline Petitjean; Maria A. Zuluaga; Wenjia Bai; Jean-Nicolas Dacher; Damien Grosgeorge; Jérôme Caudron; Su Ruan; Ismail Ben Ayed; Manuel Jorge Cardoso; Hsiang-Chou Chen; Daniel Jimenez-Carretero; María J. Ledesma-Carbayo; et al. (Medical Image Anal., 2015)

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, 2016)

Region Proposal for Pattern Spotting in Historical Document Images. - Sovann En; Caroline Petitjean; Stéphane Nicolas; Laurent Heutte; Frédéric Jurie (ICFHR, 2016)

Polarization-based specularity removal method with global energy minimization. - Fan Wang 002; Samia Ainouz 001; Caroline Petitjean; Abdelaziz Bensrhair (ICIP, 2016)

Pattern localization in historical document images via template matching. - Sovann En; Caroline Petitjean; Stéphane Nicolas; Laurent Heutte; Frédéric Jurie (ICPR, 2016)

Breast cancer histopathological image classification using Convolutional Neural Networks. - Fabio Alexandre Spanhol; Luiz S. Oliveira; Caroline Petitjean; Laurent Heutte (IJCNN, 2016)

Medical Image Synthesis with Context-Aware Generative Adversarial Networks. - Dong Nie; Roger Trullo; Caroline Petitjean; Su Ruan; Dinggang Shen (CoRR, 2016)

Multilabel statistical shape prior for image segmentation. - Damien Grosgeorge; Caroline Petitjean; Su Ruan (IET Image Process., 2016)

A scalable pattern spotting system for historical documents. - Sovann En; Caroline Petitjean; Stéphane Nicolas; Laurent Heutte (Pattern Recognit., 2016)

Extreme learning machine for out-of-sample extension in Laplacian eigenmaps. - Arturo Mendoza Quispe; Caroline Petitjean; Laurent Heutte (Pattern Recognit. Lett., 2016)

A Dataset for Breast Cancer Histopathological Image Classification. - Fabio A. Spanhol; Luiz S. Oliveira; Caroline Petitjean; Laurent Heutte (IEEE Trans. Biomed. Eng., 2016)

Fully automated esophagus segmentation with a hierarchical deep learning approach. - Roger Trullo; Caroline Petitjean; Dong Nie; Dinggang Shen; Su Ruan (ICSIPA, 2017)

Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields. - Roger Trullo; Caroline Petitjean; Su Ruan; Bernard Dubray; Dong Nie; Dinggang Shen (ISBI, 2017)

Medical Image Synthesis with Context-Aware Generative Adversarial Networks. - Dong Nie; Roger Trullo; Jun Lian; Caroline Petitjean; Su Ruan; Qian Wang 001; Dinggang Shen (MICCAI (3), 2017)

Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures. - Roger Trullo; Caroline Petitjean; Dong Nie; Dinggang Shen; Su Ruan (DLMIA/ML-CDS@MICCAI, 2017)

Deep features for breast cancer histopathological image classification. - Fabio A. Spanhol; Luiz S. Oliveira; Paulo R. Cavalin; Caroline Petitjean; Laurent Heutte (SMC, 2017)

Automatic classification of human sperm head morphology. - Violeta Chang; Laurent Heutte; Caroline Petitjean; Steffen Härtel; Nancy Hitschfeld (Comput. Biol. Medicine, 2017)

Specularity removal: A global energy minimization approach based on polarization imaging. - Fan Wang 002; Samia Ainouz 001; Caroline Petitjean; Abdelaziz Bensrhair (Comput. Vis. Image Underst., 2017)

New public dataset for spotting patterns in medieval document images. - Sovann En; Stéphane Nicolas; Caroline Petitjean; Frédéric Jurie; Laurent Heutte (J. Electronic Imaging, 2017)

Medical Image Synthesis with Deep Convolutional Adversarial Networks. - Dong Nie; Roger Trullo; Jun Lian; Li Wang 026; Caroline Petitjean; Su Ruan; Qian Wang 001; Dinggang Shen (IEEE Trans. Biomed. Eng., 2018)

Pattern Spotting in Historical Documents Using Convolutional Models. - Ignacio Úbeda; José M. Saavedra; Stéphane Nicolas; Caroline Petitjean; Laurent Heutte (HIP@ICDAR, 2019)

Multiple instance learning for histopathological breast cancer image classification. - P. J. Sudharshan; Caroline Petitjean; Fabio A. Spanhol; Luiz Eduardo Soares de Oliveira; Laurent Heutte; Paul Honeine (Expert Syst. Appl., 2019)

Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation. - Rosana El Jurdi; Thomas Dargent; Caroline Petitjean; Paul Honeine; Fahed Abdallah (IPTA, 2020)

Analysis of the weighted Van der Waals-Cahn-Hilliard model for image segmentation. - Zoé Lambert; Carole Le Guyader; Caroline Petitjean (IPTA, 2020)

SegTHOR: Segmentation of Thoracic Organs at Risk in CT images. - Zoé Lambert; Caroline Petitjean; Bernard Dubray; Su Ruan (IPTA, 2020)

Kappa Loss for Skin Lesion Segmentation in Fully Convolutional Network. - Jing Zhang 086; Caroline Petitjean; Samia Ainouz 001 (ISBI, 2020)

Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images. - Jing Zhang 086; Caroline Petitjean; Florian Yger; Samia Ainouz 001 (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Direct estimation of fetal head circumference from ultrasound images based on regression CNN. - Jing Zhang 086; Caroline Petitjean; Pierre Lopez; Samia Ainouz 001 (MIDL, 2020)

BB-UNet: U-Net With Bounding Box Prior. - Rosana El Jurdi; Caroline Petitjean; Paul Honeine; Fahed Abdallah (IEEE J. Sel. Top. Signal Process., 2020)

Improving pattern spotting in historical documents using feature pyramid networks. - Ignacio Úbeda; José M. Saavedra; Stéphane Nicolas; Caroline Petitjean; Laurent Heutte (Pattern Recognit. Lett., 2020)

Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks". - Dong Nie; Roger Trullo; Jun Lian; Li Wang 026; Caroline Petitjean; Su Ruan; Qian Wang 001; Dinggang Shen (IEEE Trans. Biomed. Eng., 2020)

A Geometrically-Constrained Deep Network For Ct Image Segmentation. - Zoé Lambert; Carole Le Guyader; Caroline Petitjean (ISBI, 2021)

A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation. - Rosana El Jurdi; Caroline Petitjean; Paul Honeine; Veronika Cheplygina; Fahed Abdallah (MIDL, 2021)

High-level prior-based loss functions for medical image segmentation: A survey. - Rosana El Jurdi; Caroline Petitjean; Paul Honeine; Veronika Cheplygina; Fahed Abdallah (Comput. Vis. Image Underst., 2021)

Effect of Prior-based Losses on Segmentation Performance: A Benchmark. - Rosana El Jurdi; Caroline Petitjean; Veronika Cheplygina; Paul Honeine; Fahed Abdallah (CoRR, 2022)

Biomedical image analysis competitions: The state of current participation practice. - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Patrick Godau; Veronika Cheplygina; Michal Kozubek 001; Sharib Ali; Anubha Gupta; Jan Kybic; et al. (CoRR, 2022)

Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound Images. - Jing Zhang 086; Caroline Petitjean; Samia Ainouz 001 (J. Imaging, 2022)

Enforcing Geometrical Priors in Deep Networks for Semantic Segmentation Applied to Radiotherapy Planning. - Zoé Lambert; Carole Le Guyader; Caroline Petitjean (J. Math. Imaging Vis., 2022)

Seg-XRes-CAM: Explaining Spatially Local Regions in Image Segmentation. - Syed Nouman Hasany; Caroline Petitjean; Fabrice Mériaudeau (CVPR Workshops, 2023)

A study of attention information from transformer layers in hybrid medical image segmentation networks. - Syed Nouman Hasany; Caroline Petitjean; Fabrice Mériaudeau (Image Processing, 2023)

Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation? - Théo Sourget; Syed Nouman Hasany; Fabrice Mériaudeau; Caroline Petitjean (MIUA, 2023)

On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy. - Zoé Lambert; Carole Le Guyader; Caroline Petitjean (SSVM, 2023)

Preface for International Conference on Medical Imaging with Deep Learning 2024. - Ninon Burgos; Caroline Petitjean; Maria Vakalopoulou; Stergios Christodoulidis; Pierrick Coupé; Hervé Delingette; Carole Lartizien; Diana Mateus (MIDL, 2024)

[Citation needed] Data usage and citation practices in medical imaging conferences. - Théo Sourget; Ahmet Akkoç; Stinna Winther; Christine Lyngbye Galsgaard; Amelia Jiménez-Sánchez; Dovile Juodelyte; Caroline Petitjean; Veronika Cheplygina (MIDL, 2024)

A Guided Tour of Post-hoc XAI Techniques in Image Segmentation. - Syed Nouman Hasany; Fabrice Mériaudeau; Caroline Petitjean (xAI (2), 2024)

MiSuRe is all you need to explain your image segmentation. - Syed Nouman Hasany; Fabrice Mériaudeau; Caroline Petitjean (CoRR, 2024)

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 (SSVM (2), 2025)