Caroline Petitjean

According to our database, Caroline Petitjean authored at least 76 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

2023

On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy.

Zoé Lambert, Carole Le Guyader, Caroline Petitjean

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation?

Théo Sourget, Syed Nouman Hasany, Fabrice Mériaudeau, Caroline Petitjean

Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023

A study of attention information from transformer layers in hybrid medical image segmentation networks.

Syed Nouman Hasany, Caroline Petitjean, Fabrice Mériaudeau

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Seg-XRes-CAM: Explaining Spatially Local Regions in Image Segmentation.

Syed Nouman Hasany, Caroline Petitjean, Fabrice Mériaudeau

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound Images.

Jing Zhang, Caroline Petitjean, Samia Ainouz

J. Imaging, 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, 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.

CoRR, 2022

Effect of Prior-based Losses on Segmentation Performance: A Benchmark.

Rosana El Jurdi, Caroline Petitjean, Veronika Cheplygina, Paul Honeine, Fahed Abdallah

CoRR, 2022

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

A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation.

Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

A Geometrically-Constrained Deep Network For Ct Image Segmentation.

Zoé Lambert, Carole Le Guyader, Caroline Petitjean

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks".

Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen

IEEE Trans. Biomed. Eng., 2020

Improving pattern spotting in historical documents using feature pyramid networks.

Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte

Pattern Recognit. Lett., 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

Direct estimation of fetal head circumference from ultrasound images based on regression CNN.

Jing Zhang, Caroline Petitjean, Pierre Lopez, Samia Ainouz

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images.

Jing Zhang, Caroline Petitjean, Florian Yger, Samia Ainouz

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Kappa Loss for Skin Lesion Segmentation in Fully Convolutional Network.

Jing Zhang, Caroline Petitjean, Samia Ainouz

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

SegTHOR: Segmentation of Thoracic Organs at Risk in CT images.

Zoé Lambert, Caroline Petitjean, Bernard Dubray, Su Ruan

Proceedings of the Tenth International Conference on Image Processing Theory, 2020

Analysis of the weighted Van der Waals-Cahn-Hilliard model for image segmentation.

Zoé Lambert, Carole Le Guyader, Caroline Petitjean

Proceedings of the Tenth International Conference on Image Processing Theory, 2020

Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation.

Rosana El Jurdi, Thomas Dargent, Caroline Petitjean, Paul Honeine, Fahed Abdallah

Proceedings of the Tenth International Conference on Image Processing Theory, 2020

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

Pattern Spotting in Historical Documents Using Convolutional Models.

Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte

Proceedings of the 5th International Workshop on Historical Document Imaging and Processing, 2019

2018

Medical Image Synthesis with Deep Convolutional Adversarial Networks.

Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen

IEEE Trans. Biomed. Eng., 2018

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

Specularity removal: A global energy minimization approach based on polarization imaging.

Fan Wang, Samia Ainouz, Caroline Petitjean, Abdelaziz Bensrhair

Comput. Vis. Image Underst., 2017

Automatic classification of human sperm head morphology.

Violeta Chang, Laurent Heutte, Caroline Petitjean, Steffen Härtel, Nancy Hitschfeld

Comput. Biol. Medicine, 2017

Deep features for breast cancer histopathological image classification.

Fabio A. Spanhol, Luiz S. Oliveira, Paulo R. Cavalin, Caroline Petitjean, Laurent Heutte

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Medical Image Synthesis with Context-Aware Generative Adversarial Networks.

Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 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

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Fully automated esophagus segmentation with a hierarchical deep learning approach.

Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan

Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017

2016

A Dataset for Breast Cancer Histopathological Image Classification.

Fabio A. Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte

IEEE Trans. Biomed. Eng., 2016

Extreme learning machine for out-of-sample extension in Laplacian eigenmaps.

Arturo Mendoza Quispe, Caroline Petitjean, Laurent Heutte

Pattern Recognit. Lett., 2016

A scalable pattern spotting system for historical documents.

Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte

Pattern Recognit., 2016

Multilabel statistical shape prior for image segmentation.

Damien Grosgeorge, Caroline Petitjean, Su Ruan

IET Image Process., 2016

Medical Image Synthesis with Context-Aware Generative Adversarial Networks.

Dong Nie, Roger Trullo, Caroline Petitjean, Su Ruan, Dinggang Shen

CoRR, 2016

Breast cancer histopathological image classification using Convolutional Neural Networks.

Fabio Alexandre Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Pattern localization in historical document images via template matching.

Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Polarization-based specularity removal method with global energy minimization.

Fan Wang, Samia Ainouz, Caroline Petitjean, Abdelaziz Bensrhair

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Region Proposal for Pattern Spotting in Historical Document Images.

Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie

Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

Pruning Trees in Random Forests for Minimizing non Detection in Medical imaging.

Laurent Heutte, Caroline Petitjean, Chesner Désir

Proceedings of the Handbook of Pattern Recognition and Computer Vision, 5th Ed., 2016

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, 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

Medical Image Anal., 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

Robust feature selection to predict tumor treatment outcome.

Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan

Artif. Intell. Medicine, 2015

Linear Discriminant Analysis for Zero-shot Learning Image Retrieval.

Sovann En, Frédéric Jurie, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte

Proceedings of the VISAPP 2015, 2015

Shape prior based image segmentation using manifold learning.

Arturo Mendoza Quispe, Caroline Petitjean

Proceedings of the 2015 International Conference on Image Processing Theory, 2015

Segmentation-free pattern spotting in historical document images.

Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte

Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

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

Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images.

Alain Rakotomamonjy, Caroline Petitjean, Mathieu Salaün, Luc Thiberville

Artif. Intell. Medicine, 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

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Joint segmentation of right and left cardiac ventricles using multi-label graph cut.

Damien Grosgeorge, Caroline Petitjean, Su Ruan

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

3D automated lymphoma segmentation in PET images based on cellular automata.

Paul Desbordes, Caroline Petitjean, Su Ruan

Proceedings of the 4th International Conference on Image Processing Theory, 2014

2013

One class random forests.

Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte

Pattern Recognit., 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

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

Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model.

Hongmei Mi, Caroline Petitjean, Su Ruan, Pierre Vera, Bernard Dubray

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

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

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

A New Random Forest Method for One-Class Classification.

Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

A Random Forest Based Approach for One Class Classification in Medical Imaging.

Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte

Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Detection of pathological condition in distal lung images.

David Hebert, Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

A review of segmentation methods in short axis cardiac MR images.

Caroline Petitjean, Jean-Nicolas Dacher

Medical Image Anal., 2011

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

2010

Using a Priori Knowledge to Classify in Vivo Images of the Lung.

Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010

2009

Automatic Extraction of Droppers in Catenary Scenes.

Caroline Petitjean, Laurent Heutte, Régis Kouadio, Vincent Delcourt

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2009), 2009

Classification of In-Vivo Endomicroscopic Images of the Alveolar Respiratory System.

Caroline Petitjean, Jonathan Benoist, Luc Thiberville, Mathieu Salaün, Laurent Heutte

Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2009), 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

Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009

A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes.

Caroline Petitjean, Laurent Heutte, Régis Kouadio, Vincent Delcourt

Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

2008

Automatic extraction of information for catenary scene analysis.

Florent Montreuil, Régis Kouadio, Caroline Petitjean, Laurent Heutte, Vincent Delcourt

Proceedings of the 2008 16th European Signal Processing Conference, 2008

2005

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

2004

Building and using a statistical 3D motion atlas for analyzing myocardial contraction in MRI.

Nicolas F. Rougon, Caroline Petitjean, Françoise J. Prêteux

Proceedings of the Medical Imaging 2004: Image Processing, 2004

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

PhD thesis, 2003

Variational non rigid image registration using exclusive F-information.

Nicolas Rougon, Caroline Petitjean, Françoise J. Prêteux

Proceedings of the 2003 International Conference on Image Processing, 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

Proceedings of the Functional Imaging and Modeling of the Heart, 2003

Measuring myocardial deformations from MR data using information-theoretic non rigid registration.

Caroline Petitjean, Nicolas Rougon, Françoise J. Prêteux, Philippe Cluzel, Philippe Grenier

Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003