Caroline Petitjean

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 49

Top Venues

CoRR

ISBI

IPTA

IEEE Trans. Biomed. Eng.

Paris Descartes University, France (PHD)

Education History

Paris Descartes University, France

PHD

Publications

Théo Sourget, Ahmet Akkoç, Stinna Winther, Christine Lyngbye Galsgaard, Amelia Jiménez-Sánchez, Dovile Juodelyte, Caroline Petitjean, Veronika Cheplygina
[Citation needed] Data usage and citation practices in medical imaging conferences. CoRR (2024)
Syed Nouman Hasany, Caroline Petitjean, Fabrice Mériaudeau
Seg-XRes-CAM: Explaining Spatially Local Regions in Image Segmentation. CVPR Workshops (2023)
Zoé Lambert, Carole Le Guyader, Caroline Petitjean
On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy. SSVM (2023)
Théo Sourget, Syed Nouman Hasany, Fabrice Mériaudeau, Caroline Petitjean
Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation? MIUA (2023)
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, 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.
Biomedical image analysis competitions: The state of current participation practice. CoRR (2022)
Zoé Lambert, Carole Le Guyader, Caroline Petitjean
Enforcing Geometrical Priors in Deep Networks for Semantic Segmentation Applied to Radiotherapy Planning. J. Math. Imaging Vis. 64 (8) (2022)
Rosana El Jurdi, Caroline Petitjean, Veronika Cheplygina, Paul Honeine, Fahed Abdallah
Effect of Prior-based Losses on Segmentation Performance: A Benchmark. CoRR (2022)
Jing Zhang, Caroline Petitjean, Samia Ainouz
Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound Images. J. Imaging 8 (2) (2022)
Zoé Lambert, Carole Le Guyader, Caroline Petitjean
A Geometrically-Constrained Deep Network For Ct Image Segmentation. ISBI (2021)
Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
High-level prior-based loss functions for medical image segmentation: A survey. Comput. Vis. Image Underst. 210 (2021)
Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation. MIDL (2021)
Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey. CoRR (2020)
Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks". IEEE Trans. Biomed. Eng. 67 (9) (2020)
Rosana El Jurdi, Thomas Dargent, Caroline Petitjean, Paul Honeine, Fahed Abdallah
Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation. IPTA (2020)
Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte
Improving pattern spotting in historical documents using feature pyramid networks. Pattern Recognit. Lett. 131 (2020)
Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Fahed Abdallah
BB-UNet: U-Net With Bounding Box Prior. IEEE J. Sel. Top. Signal Process. 14 (6) (2020)
Jing Zhang, Caroline Petitjean, Florian Yger, Samia Ainouz
Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Jing Zhang, Caroline Petitjean, Pierre Lopez, Samia Ainouz
Direct estimation of fetal head circumference from ultrasound images based on regression CNN. MIDL (2020)
Jing Zhang, Caroline Petitjean, Samia Ainouz
Kappa Loss for Skin Lesion Segmentation in Fully Convolutional Network. ISBI (2020)
Zoé Lambert, Caroline Petitjean, Bernard Dubray, Su Ruan
SegTHOR: Segmentation of Thoracic Organs at Risk in CT images. IPTA (2020)
Zoé Lambert, Carole Le Guyader, Caroline Petitjean
Analysis of the weighted Van der Waals-Cahn-Hilliard model for image segmentation. IPTA (2020)
Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte
Pattern Spotting in Historical Documents Using Convolutional Models. HIP@ICDAR (2019)
Zoé Lambert, Caroline Petitjean, Bernard Dubray, Su Ruan
SegTHOR: Segmentation of Thoracic Organs at Risk in CT images. CoRR (2019)
P. J. Sudharshan, Caroline Petitjean, Fabio A. Spanhol, Luiz Eduardo Soares de Oliveira, Laurent Heutte, Paul Honeine
Multiple instance learning for histopathological breast cancer image classification. Expert Syst. Appl. 117 (2019)
Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte
Pattern Spotting in Historical Documents Using Convolutional Models. CoRR (2019)
Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
Medical Image Synthesis with Deep Convolutional Adversarial Networks. IEEE Trans. Biomed. Eng. 65 (12) (2018)
Fabio A. Spanhol, Luiz S. Oliveira, Paulo R. Cavalin, Caroline Petitjean, Laurent Heutte
Deep features for breast cancer histopathological image classification. SMC (2017)
Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan
Fully automated esophagus segmentation with a hierarchical deep learning approach. ICSIPA (2017)
Fan Wang, Samia Ainouz, Caroline Petitjean, Abdelaziz Bensrhair
Specularity removal: A global energy minimization approach based on polarization imaging. Comput. Vis. Image Underst. 158 (2017)
Roger Trullo, Caroline Petitjean, Su Ruan, Bernard Dubray, Dong Nie, Dinggang Shen
Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields. ISBI (2017)
Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan
Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures. DLMIA/ML-CDS@MICCAI (2017)
Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
Medical Image Synthesis with Context-Aware Generative Adversarial Networks. MICCAI (3) (2017)
Violeta Chang, Laurent Heutte, Caroline Petitjean, Steffen Härtel, Nancy Hitschfeld
Automatic classification of human sperm head morphology. Comput. Biol. Medicine 84 (2017)
Sovann En, Stéphane Nicolas, Caroline Petitjean, Frédéric Jurie, Laurent Heutte
New public dataset for spotting patterns in medieval document images. J. Electronic Imaging 26 (1) (2017)
Damien Grosgeorge, Caroline Petitjean, Su Ruan
Multilabel statistical shape prior for image segmentation. IET Image Process. 10 (10) (2016)
Fan Wang, Samia Ainouz, Caroline Petitjean, Abdelaziz Bensrhair
Polarization-based specularity removal method with global energy minimization. ICIP (2016)
Arturo Mendoza Quispe, Caroline Petitjean, Laurent Heutte
Extreme learning machine for out-of-sample extension in Laplacian eigenmaps. Pattern Recognit. Lett. 74 (2016)
Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie
Region Proposal for Pattern Spotting in Historical Document Images. ICFHR (2016)
Dong Nie, Roger Trullo, Caroline Petitjean, Su Ruan, Dinggang Shen
Medical Image Synthesis with Context-Aware Generative Adversarial Networks. CoRR (2016)
Fabio A. Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte
A Dataset for Breast Cancer Histopathological Image Classification. IEEE Trans. Biomed. Eng. 63 (7) (2016)
Fabio Alexandre Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte
Breast cancer histopathological image classification using Convolutional Neural Networks. IJCNN (2016)
Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte
A scalable pattern spotting system for historical documents. Pattern Recognit. 54 (2016)
Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie
Pattern localization in historical document images via template matching. ICPR (2016)
Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte
Segmentation-free pattern spotting in historical document images. ICDAR (2015)
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
Right ventricle segmentation from cardiac MRI: A collation study. Medical Image Anal. 19 (1) (2015)
Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan
Robust feature selection to predict tumor treatment outcome. Artif. Intell. Medicine 64 (3) (2015)
Arturo Mendoza Quispe, Caroline Petitjean
Shape prior based image segmentation using manifold learning. IPTA (2015)
Hongmei Mi, Caroline Petitjean, Pierre Vera, Su Ruan
Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images. Medical Image Anal. 23 (1) (2015)
Sovann En, Frédéric Jurie, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte
Linear Discriminant Analysis for Zero-shot Learning Image Retrieval. VISAPP (2) (2015)
Paul Desbordes, Caroline Petitjean, Su Ruan
3D automated lymphoma segmentation in PET images based on cellular automata. IPTA (2014)
Alain Rakotomamonjy, Caroline Petitjean, Mathieu Salaün, Luc Thiberville
Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images. Artif. Intell. Medicine 61 (2) (2014)
Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan
Automatic lung tumor segmentation on PET images based on random walks and tumor growth model. ISBI (2014)
Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan
Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET. IEEE Trans. Medical Imaging 33 (4) (2014)
Damien Grosgeorge, Caroline Petitjean, Su Ruan
Joint segmentation of right and left cardiac ventricles using multi-label graph cut. ISBI (2014)
Damien Grosgeorge, Caroline Petitjean, Bernard Dubray, Su Ruan
Esophagus Segmentation from 3D CT Data Using Skeleton Prior-Based Graph Cut. Comput. Math. Methods Medicine 2013 (2013)
Hongmei Mi, Caroline Petitjean, Su Ruan, Pierre Vera, Bernard Dubray
Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model. ISBI (2013)
Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte
One class random forests. Pattern Recognit. 46 (12) (2013)
Damien Grosgeorge, Caroline Petitjean, Jean-Nicolas Dacher, Su Ruan
Graph cut segmentation with a statistical shape model in cardiac MRI. Comput. Vis. Image Underst. 117 (9) (2013)
Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte
A Random Forest Based Approach for One Class Classification in Medical Imaging. MLMI (2012)
Chesner Désir, Caroline Petitjean, Laurent Heutte, Mathieu Salaün, Luc Thiberville
Classification of Endomicroscopic Images of the Lung Based on Random Subwindows and Extra-Trees. IEEE Trans. Biomed. Eng. 59 (9) (2012)
Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte
A New Random Forest Method for One-Class Classification. SSPR/SPR (2012)
Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville, Mathieu Salaün
An SVM-based distal lung image classification using texture descriptors. Comput. Medical Imaging Graph. 36 (4) (2012)
David Hebert, Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville
Detection of pathological condition in distal lung images. ISBI (2012)
Damien Grosgeorge, Caroline Petitjean, Jérôme Caudron, Jeannette Fares, Jean-Nicolas Dacher
Automatic cardiac ventricle segmentation in MR images: a validation study. Int. J. Comput. Assist. Radiol. Surg. 6 (5) (2011)
Caroline Petitjean, Jean-Nicolas Dacher
A review of segmentation methods in short axis cardiac MR images. Medical Image Anal. 15 (2) (2011)
Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville
Using a Priori Knowledge to Classify in Vivo Images of the Lung. ICIC (2) (2010)
Caroline Petitjean, Laurent Heutte, Régis Kouadio, Vincent Delcourt
A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes. IbPRIA (2009)
Caroline Petitjean, Laurent Heutte, Régis Kouadio, Vincent Delcourt
Automatic Extraction of Droppers in Catenary Scenes. MVA (2009)
Caroline Petitjean, Jonathan Benoist, Luc Thiberville, Mathieu Salaün, Laurent Heutte
Classification of In-Vivo Endomicroscopic Images of the Alveolar Respiratory System. MVA (2009)
Aurélien Saint-Réquier, Benoît Lelandais, Caroline Petitjean, Chesner Désir, Laurent Heutte, Mathieu Salaün, Luc Thiberville
Characterization of Endomicroscopic Images of the Distal Lung for Computer-Aided Diagnosis. ICIC (1) (2009)
Florent Montreuil, Régis Kouadio, Caroline Petitjean, Laurent Heutte, Vincent Delcourt
Automatic extraction of information for catenary scene analysis. EUSIPCO (2008)
Nicolas Rougon, Caroline Petitjean, Françoise J. Prêteux, Philippe Cluzel, Philippe Grenier
A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures. Medical Image Anal. 9 (4) (2005)
Nicolas F. Rougon, Caroline Petitjean, Françoise J. Prêteux
Building and using a statistical 3D motion atlas for analyzing myocardial contraction in MRI. Medical Imaging: Image Processing (2004)
Nicolas Rougon, Caroline Petitjean, Françoise J. Prêteux
Variational non rigid image registration using exclusive F-information. ICIP (2) (2003)
Caroline Petitjean, Nicolas Rougon, Françoise J. Prêteux, Philippe Cluzel, Philippe Grenier
Measuring Myocardial Deformations in Tagged MR Image Sequences Using Informational Non-rigid Registration. FIMH (2003)
Caroline Petitjean, Nicolas Rougon, Françoise J. Prêteux, Philippe Cluzel, Philippe Grenier
Measuring myocardial deformations from MR data using information-theoretic non rigid registration. CARS (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Caroline Petitjean