Caroline Petitjean

91 papers A 1B 7Misc 3Journal 38Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unified Framework for Multimodal Joint Segmentation and Registration Combining Finite Distortion Theory and Implicit Neural Networks. J. Math. Imaging Vis. Diane Chan Sock Line, Noémie Debroux, Carole Le Guyader, Caroline Petitjean
2025	J	`jnl`	Guest Editorial: Special Issue on Foundation Models in Medical Imaging. IEEE J. Biomed. Health Informatics Jiong Zhang, Huazhu Fu, Caroline Petitjean, Xiaoxiao Li, Julia A. Schnabel
2025	—	`conf`	On a Hybrid Joint Segmentation/Multimodal Registration Model via Finite Distortion Mappings and Implicit Neural Representations. SSVM (2) Diane Chan Sock Line, Noémie Debroux, Carole Le Guyader, Caroline Petitjean
2024	—	`conf`	A Guided Tour of Post-hoc XAI Techniques in Image Segmentation. xAI (2) Syed Nouman Hasany, Fabrice Mériaudeau, Caroline Petitjean
2024	—	`ed.`	Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France. MIDL Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupé, Hervé Delingette, Carole Lartizien, Diana Mateus
2024	J	`jnl`	MiSuRe is all you need to explain your image segmentation. CoRR Syed Nouman Hasany, Fabrice Mériaudeau, Caroline Petitjean
2024	—	`conf`	Preface for International Conference on Medical Imaging with Deep Learning 2024. MIDL Ninon Burgos, Caroline Petitjean, Maria Vakalopoulou, Stergios Christodoulidis, Pierrick Coupé, Hervé Delingette, Carole Lartizien, Diana Mateus
2024	—	`conf`	[Citation needed] Data usage and citation practices in medical imaging conferences. MIDL Théo Sourget, Ahmet Akkoç, Stinna Winther, Christine Lyngbye Galsgaard, Amelia Jiménez-Sánchez, Dovile Juodelyte, Caroline Petitjean, Veronika Cheplygina
2024	J	`jnl`	[Citation needed] Data usage and citation practices in medical imaging conferences. CoRR Théo Sourget, Ahmet Akkoç, Stinna Winther, Christine Lyngbye Galsgaard, Amelia Jiménez-Sánchez, Dovile Juodelyte, Caroline Petitjean, Veronika Cheplygina
2023	B	`conf`	A study of attention information from transformer layers in hybrid medical image segmentation networks. Image Processing Syed Nouman Hasany, Caroline Petitjean, Fabrice Mériaudeau
2023	—	`conf`	Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation? MIUA Théo Sourget, Syed Nouman Hasany, Fabrice Mériaudeau, Caroline Petitjean
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas Sudharshan Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets-Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard M. Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles
2023	—	`conf`	On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy. SSVM Zoé Lambert, Carole Le Guyader, Caroline Petitjean
2023	—	`conf`	Seg-XRes-CAM: Explaining Spatially Local Regions in Image Segmentation. CVPR Workshops Syed Nouman Hasany, Caroline Petitjean, Fabrice Mériaudeau
2023	—	`conf`	Seg-XRes-CAM: Explaining Spatially Local Regions in Image Segmentation. XAI4CV Syed Nouman Hasany, Caroline Petitjean, Fabrice Mériaudeau
2022	J	`jnl`	Biomedical image analysis competitions: The state of current participation practice. CoRR Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.
2022	J	`jnl`	Effect of Prior-based Losses on Segmentation Performance: A Benchmark. CoRR Rosana El Jurdi, Caroline Petitjean, Veronika Cheplygina, Paul Honeine, Fahed Abdallah
2022	J	`jnl`	Enforcing Geometrical Priors in Deep Networks for Semantic Segmentation Applied to Radiotherapy Planning. J. Math. Imaging Vis. Zoé Lambert, Carole Le Guyader, Caroline Petitjean
2022	—	`ed.`	Resource-Efficient Medical Image Analysis - First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings REMIA@MICCAI Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Huazhu Fu
2022	J	`jnl`	Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound Images. J. Imaging Jing Zhang, Caroline Petitjean, Samia Ainouz
2021	—	`conf`	A Geometrically-Constrained Deep Network For Ct Image Segmentation. ISBI Zoé Lambert, Carole Le Guyader, Caroline Petitjean
2021	—	`conf`	A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation. MIDL Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
2021	J	`jnl`	High-level prior-based loss functions for medical image segmentation: A survey. Comput. Vis. Image Underst. Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
2020	—	`conf`	Analysis of the weighted Van der Waals-Cahn-Hilliard model for image segmentation. IPTA Zoé Lambert, Carole Le Guyader, Caroline Petitjean
2020	J	`jnl`	BB-UNet: U-Net With Bounding Box Prior. IEEE J. Sel. Top. Signal Process. Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Fahed Abdallah
2020	J	`jnl`	Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks". IEEE Trans. Biomed. Eng. Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
2020	—	`conf`	Direct estimation of fetal head circumference from ultrasound images based on regression CNN. MIDL Jing Zhang, Caroline Petitjean, Pierre Lopez, Samia Ainouz
2020	—	`conf`	Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images. iMIMIC/MIL3ID/LABELS@MICCAI Jing Zhang, Caroline Petitjean, Florian Yger, Samia Ainouz
2020	J	`jnl`	High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey. CoRR Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
2020	J	`jnl`	Improving pattern spotting in historical documents using feature pyramid networks. Pattern Recognit. Lett. Ignacio Úbeda, José M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte
2020	—	`conf`	Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation. IPTA Rosana El Jurdi, Thomas Dargent, Caroline Petitjean, Paul Honeine, Fahed Abdallah
2020	—	`conf`	Kappa Loss for Skin Lesion Segmentation in Fully Convolutional Network. ISBI Jing Zhang, Caroline Petitjean, Samia Ainouz
2020	—	`conf`	SegTHOR: Segmentation of Thoracic Organs at Risk in CT images. IPTA Zoé Lambert, Caroline Petitjean, Bernard Dubray, Su Ruan
2019	J	`jnl`	Multiple instance learning for histopathological breast cancer image classification. Expert Syst. Appl. P. J. Sudharshan, Caroline Petitjean, Fabio A. Spanhol, Luiz Eduardo Soares de Oliveira, Laurent Heutte, Paul Honeine
2019	—	`conf`	Pattern Spotting in Historical Documents Using Convolutional Models. HIP@ICDAR Ignacio Úbeda, José M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte
2019	J	`jnl`	Pattern Spotting in Historical Documents Using Convolutional Models. CoRR Ignacio Úbeda, José M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte
2019	—	`ed.`	Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, SegTHOR@ISBI 2019, April 8, 2019 SegTHOR@ISBI Caroline Petitjean, Su Ruan, Zoé Lambert, Bernard Dubray
2019	J	`jnl`	SegTHOR: Segmentation of Thoracic Organs at Risk in CT images. CoRR Zoé Lambert, Caroline Petitjean, Bernard Dubray, Su Ruan
2018	J	`jnl`	Medical Image Synthesis with Deep Convolutional Adversarial Networks. IEEE Trans. Biomed. Eng. Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
2017	J	`jnl`	Automatic classification of human sperm head morphology. Comput. Biol. Medicine Violeta Chang, Laurent Heutte, Caroline Petitjean, Steffen Härtel, Nancy Hitschfeld
2017	B	`conf`	Deep features for breast cancer histopathological image classification. SMC Fabio A. Spanhol, Luiz S. Oliveira, Paulo R. Cavalin, Caroline Petitjean, Laurent Heutte
2017	—	`conf`	Fully automated esophagus segmentation with a hierarchical deep learning approach. ICSIPA Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan
2017	—	`conf`	Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures. DLMIA/ML-CDS@MICCAI Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan
2017	—	`conf`	Medical Image Synthesis with Context-Aware Generative Adversarial Networks. MICCAI (3) Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
2017	J	`jnl`	New public dataset for spotting patterns in medieval document images. J. Electronic Imaging Sovann En, Stéphane Nicolas, Caroline Petitjean, Frédéric Jurie, Laurent Heutte
2017	—	`conf`	Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields. ISBI Roger Trullo, Caroline Petitjean, Su Ruan, Bernard Dubray, Dong Nie, Dinggang Shen
2017	J	`jnl`	Specularity removal: A global energy minimization approach based on polarization imaging. Comput. Vis. Image Underst. Fan Wang, Samia Ainouz, Caroline Petitjean, Abdelaziz Bensrhair
2016	J	`jnl`	A Dataset for Breast Cancer Histopathological Image Classification. IEEE Trans. Biomed. Eng. Fabio A. Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte
2016	J	`jnl`	A scalable pattern spotting system for historical documents. Pattern Recognit. Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte
2016	B	`conf`	Breast cancer histopathological image classification using Convolutional Neural Networks. IJCNN Fabio Alexandre Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte
2016	J	`jnl`	Extreme learning machine for out-of-sample extension in Laplacian eigenmaps. Pattern Recognit. Lett. Arturo Mendoza Quispe, Caroline Petitjean, Laurent Heutte
2016	J	`jnl`	Medical Image Synthesis with Context-Aware Generative Adversarial Networks. CoRR Dong Nie, Roger Trullo, Caroline Petitjean, Su Ruan, Dinggang Shen
2016	J	`jnl`	Multilabel statistical shape prior for image segmentation. IET Image Process. Damien Grosgeorge, Caroline Petitjean, Su Ruan
2016	B	`conf`	Pattern localization in historical document images via template matching. ICPR Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie
2016	B	`conf`	Polarization-based specularity removal method with global energy minimization. ICIP Fan Wang, Samia Ainouz, Caroline Petitjean, Abdelaziz Bensrhair
2016	—	`ch.`	Pruning Trees in Random Forests for Minimizing non Detection in Medical imaging. Handbook of Pattern Recognition and Computer Vision Laurent Heutte, Caroline Petitjean, Chesner Désir
2016	B	`conf`	Region Proposal for Pattern Spotting in Historical Document Images. ICFHR Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie
2015	J	`jnl`	Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images. Medical Image Anal. Hongmei Mi, Caroline Petitjean, Pierre Vera, Su Ruan
2015	—	`conf`	Linear Discriminant Analysis for Zero-shot Learning Image Retrieval. VISAPP (2) Sovann En, Frédéric Jurie, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte
2015	J	`jnl`	Right ventricle segmentation from cardiac MRI: A collation study. Medical Image Anal. 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, Christos Davatzikos, Jimit Doshi, Güray Erus, Oskar M. O. Maier, Cyrus M. S. Nambakhsh, Yangming Ou, Sébastien Ourselin, Chun-Wei Peng, Nicholas S. Peters, Terry M. Peters, Martin Rajchl, Daniel Rueckert, Andrés Santos, Wenzhe Shi, Ching-Wei Wang, Haiyan Wang, Jing Yuan
2015	J	`jnl`	Robust feature selection to predict tumor treatment outcome. Artif. Intell. Medicine Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan
2015	A	`conf`	Segmentation-free pattern spotting in historical document images. ICDAR Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte
2015	—	`conf`	Shape prior based image segmentation using manifold learning. IPTA Arturo Mendoza Quispe, Caroline Petitjean
2014	—	`conf`	3D automated lymphoma segmentation in PET images based on cellular automata. IPTA Paul Desbordes, Caroline Petitjean, Su Ruan
2014	—	`conf`	Automatic lung tumor segmentation on PET images based on random walks and tumor growth model. ISBI Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan
2014	—	`conf`	Joint segmentation of right and left cardiac ventricles using multi-label graph cut. ISBI Damien Grosgeorge, Caroline Petitjean, Su Ruan
2014	J	`jnl`	Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET. IEEE Trans. Medical Imaging Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan
2014	J	`jnl`	Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images. Artif. Intell. Medicine Alain Rakotomamonjy, Caroline Petitjean, Mathieu Salaün, Luc Thiberville
2013	J	`jnl`	Esophagus Segmentation from 3D CT Data Using Skeleton Prior-Based Graph Cut. Comput. Math. Methods Medicine Damien Grosgeorge, Caroline Petitjean, Bernard Dubray, Su Ruan
2013	J	`jnl`	Graph cut segmentation with a statistical shape model in cardiac MRI. Comput. Vis. Image Underst. Damien Grosgeorge, Caroline Petitjean, Jean-Nicolas Dacher, Su Ruan
2013	J	`jnl`	One class random forests. Pattern Recognit. Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte
2013	—	`conf`	Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model. ISBI Hongmei Mi, Caroline Petitjean, Su Ruan, Pierre Vera, Bernard Dubray
2012	—	`conf`	A New Random Forest Method for One-Class Classification. SSPR/SPR Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte
2012	—	`conf`	A Random Forest Based Approach for One Class Classification in Medical Imaging. MLMI Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte
2012	J	`jnl`	An SVM-based distal lung image classification using texture descriptors. Comput. Medical Imaging Graph. Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville, Mathieu Salaün
2012	J	`jnl`	Classification of Endomicroscopic Images of the Lung Based on Random Subwindows and Extra-Trees. IEEE Trans. Biomed. Eng. Chesner Désir, Caroline Petitjean, Laurent Heutte, Mathieu Salaün, Luc Thiberville
2012	—	`conf`	Detection of pathological condition in distal lung images. ISBI David Hebert, Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville
2011	J	`jnl`	A review of segmentation methods in short axis cardiac MR images. Medical Image Anal. Caroline Petitjean, Jean-Nicolas Dacher
2011	J	`jnl`	Automatic cardiac ventricle segmentation in MR images: a validation study. Int. J. Comput. Assist. Radiol. Surg. Damien Grosgeorge, Caroline Petitjean, Jérôme Caudron, Jeannette Fares, Jean-Nicolas Dacher
2010	—	`conf`	Using a Priori Knowledge to Classify in Vivo Images of the Lung. ICIC (2) Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville
2009	Misc	`conf`	A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes. IbPRIA Caroline Petitjean, Laurent Heutte, Régis Kouadio, Vincent Delcourt
2009	Misc	`conf`	Automatic Extraction of Droppers in Catenary Scenes. MVA Caroline Petitjean, Laurent Heutte, Régis Kouadio, Vincent Delcourt
2009	—	`conf`	Characterization of Endomicroscopic Images of the Distal Lung for Computer-Aided Diagnosis. ICIC (1) Aurélien Saint-Réquier, Benoît Lelandais, Caroline Petitjean, Chesner Désir, Laurent Heutte, Mathieu Salaün, Luc Thiberville
2009	Misc	`conf`	Classification of In-Vivo Endomicroscopic Images of the Alveolar Respiratory System. MVA Caroline Petitjean, Jonathan Benoist, Luc Thiberville, Mathieu Salaün, Laurent Heutte
2008	—	`conf`	Automatic extraction of information for catenary scene analysis. EUSIPCO Florent Montreuil, Régis Kouadio, Caroline Petitjean, Laurent Heutte, Vincent Delcourt
2005	J	`jnl`	A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures. Medical Image Anal. Nicolas Rougon, Caroline Petitjean, Françoise J. Prêteux, Philippe Cluzel, Philippe Grenier
2004	B	`conf`	Building and using a statistical 3D motion atlas for analyzing myocardial contraction in MRI. Image Processing Nicolas F. Rougon, Caroline Petitjean, Françoise J. Prêteux
2003	—	`conf`	Measuring Myocardial Deformations in Tagged MR Image Sequences Using Informational Non-rigid Registration. FIMH Caroline Petitjean, Nicolas Rougon, Françoise J. Prêteux, Philippe Cluzel, Philippe Grenier
2003	—	`conf`	Measuring myocardial deformations from MR data using information-theoretic non rigid registration. CARS Caroline Petitjean, Nicolas Rougon, Françoise J. Prêteux, Philippe Cluzel, Philippe Grenier
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	—	`conf`	Variational non rigid image registration using exclusive F-information. ICIP (2) Nicolas Rougon, Caroline Petitjean, Françoise J. Prêteux