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ORCIDCaroline Petitjean
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- affiliation: University of Rouen, France
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2020 – today
- 2024
[c43]Syed Nouman Hasany
, Fabrice Mériaudeau, Caroline Petitjean:
A Guided Tour of Post-hoc XAI Techniques in Image Segmentation. xAI (2) 2024: 155-177- [i8]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 abs/2402.03003 (2024) - [i7]Syed Nouman Hasany, Fabrice Mériaudeau, Caroline Petitjean:
MiSuRe is all you need to explain your image segmentation. CoRR abs/2406.12173 (2024) - 2023
- [c42]Syed Nouman Hasany, Caroline Petitjean, Fabrice Mériaudeau:
Seg-XRes-CAM: Explaining Spatially Local Regions in Image Segmentation. CVPR Workshops 2023: 3733-3738 - [c41]Syed Nouman Hasany, Caroline Petitjean, Fabrice Mériaudeau:
A study of attention information from transformer layers in hybrid medical image segmentation networks. Image Processing 2023 - [c40]Théo Sourget, Syed Nouman Hasany, Fabrice Mériaudeau, Caroline Petitjean:
Can SegFormer be a True Competitor to U-Net for Medical Image Segmentation? MIUA 2023: 111-118 - [c39]Zoé Lambert, Carole Le Guyader, Caroline Petitjean:
On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to Radiotherapy. SSVM 2023: 363-375 - [e3]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:
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. Lecture Notes in Computer Science 14394, Springer 2023, ISBN 978-3-031-47424-8 [contents] - 2022
- [j28]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): 23 (2022) - [j27]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): 892-915 (2022) - [e2]Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Huazhu Fu:
Resource-Efficient Medical Image Analysis - First MICCAI Workshop, REMIA 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13543, Springer 2022, ISBN 978-3-031-16875-8 [contents] - [i6]Rosana El Jurdi, Caroline Petitjean, Veronika Cheplygina, Paul Honeine, Fahed Abdallah:
Effect of Prior-based Losses on Segmentation Performance: A Benchmark. CoRR abs/2201.02428 (2022) - [i5]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.:
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022) - 2021
- [j26]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: 103248 (2021) - [c38]Zoé Lambert, Carole Le Guyader, Caroline Petitjean:
A Geometrically-Constrained Deep Network For Ct Image Segmentation. ISBI 2021: 29-33 - [c37]Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah:
A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation. MIDL 2021: 158-167 - 2020
- [j25]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): 1189-1198 (2020) - [j24]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: 398-404 (2020) - [j23]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): 2706 (2020) - [c36]Rosana El Jurdi, Thomas Dargent, Caroline Petitjean, Paul Honeine, Fahed Abdallah:
Investigating CoordConv for Fully and Weakly Supervised Medical Image Segmentation. IPTA 2020: 1-5 - [c35]Zoé Lambert, Carole Le Guyader, Caroline Petitjean:
Analysis of the weighted Van der Waals-Cahn-Hilliard model for image segmentation. IPTA 2020: 1-6 - [c34]Zoé Lambert, Caroline Petitjean, Bernard Dubray, Su Ruan:
SegTHOR: Segmentation of Thoracic Organs at Risk in CT images. IPTA 2020: 1-6 - [c33]Jing Zhang, Caroline Petitjean, Samia Ainouz:
Kappa Loss for Skin Lesion Segmentation in Fully Convolutional Network. ISBI 2020: 2001-2004 - [c32]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: 73-82 - [c31]Jing Zhang, Caroline Petitjean, Pierre Lopez, Samia Ainouz:
Direct estimation of fetal head circumference from ultrasound images based on regression CNN. MIDL 2020: 914-922 - [i4]Rosana El Jurdi, Caroline Petitjean, Paul Honeine, Veronika Cheplygina, Fahed Abdallah:
High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey. CoRR abs/2011.08018 (2020)
2010 – 2019
- 2019
- [j22]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: 103-111 (2019) - [c30]Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte:
Pattern Spotting in Historical Documents Using Convolutional Models. HIP@ICDAR 2019: 60-65 - [e1]Caroline Petitjean, Su Ruan, Zoé Lambert, Bernard Dubray:
Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, SegTHOR@ISBI 2019, April 8, 2019. CEUR Workshop Proceedings 2349, CEUR-WS.org 2019 [contents] - [i3]Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte:
Pattern Spotting in Historical Documents Using Convolutional Models. CoRR abs/1906.08580 (2019) - [i2]Zoé Lambert, Caroline Petitjean, Bernard Dubray, Su Ruan:
SegTHOR: Segmentation of Thoracic Organs at Risk in CT images. CoRR abs/1912.05950 (2019) - 2018
- [j21]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): 2720-2730 (2018) - 2017
- [j20]Violeta Chang, Laurent Heutte, Caroline Petitjean, Steffen Härtel, Nancy Hitschfeld:
Automatic classification of human sperm head morphology. Comput. Biol. Medicine 84: 205-216 (2017) - [j19]Fan Wang, Samia Ainouz, Caroline Petitjean, Abdelaziz Bensrhair:
Specularity removal: A global energy minimization approach based on polarization imaging. Comput. Vis. Image Underst. 158: 31-39 (2017) - [j18]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): 11010 (2017) - [c29]Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan:
Fully automated esophagus segmentation with a hierarchical deep learning approach. ICSIPA 2017: 503-506 - [c28]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: 1003-1006 - [c27]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: 21-29 - [c26]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: 417-425 - [c25]Fabio A. Spanhol, Luiz S. Oliveira, Paulo R. Cavalin, Caroline Petitjean, Laurent Heutte:
Deep features for breast cancer histopathological image classification. SMC 2017: 1868-1873 - 2016
- [j17]Damien Grosgeorge, Caroline Petitjean, Su Ruan:
Multilabel statistical shape prior for image segmentation. IET Image Process. 10(10): 710-716 (2016) - [j16]Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte:
A scalable pattern spotting system for historical documents. Pattern Recognit. 54: 149-161 (2016) - [j15]Arturo Mendoza Quispe, Caroline Petitjean, Laurent Heutte:
Extreme learning machine for out-of-sample extension in Laplacian eigenmaps. Pattern Recognit. Lett. 74: 68-73 (2016) - [j14]Fabio A. Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte:
A Dataset for Breast Cancer Histopathological Image Classification. IEEE Trans. Biomed. Eng. 63(7): 1455-1462 (2016) - [c24]Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie:
Region Proposal for Pattern Spotting in Historical Document Images. ICFHR 2016: 367-372 - [c23]Fan Wang, Samia Ainouz, Caroline Petitjean, Abdelaziz Bensrhair:
Polarization-based specularity removal method with global energy minimization. ICIP 2016: 1983-1987 - [c22]Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie:
Pattern localization in historical document images via template matching. ICPR 2016: 2054-2059 - [c21]Fabio Alexandre Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte:
Breast cancer histopathological image classification using Convolutional Neural Networks. IJCNN 2016: 2560-2567 - [p1]Laurent Heutte, Caroline Petitjean, Chesner Désir:
Pruning Trees in Random Forests for Minimizing non Detection in Medical imaging. Handbook of Pattern Recognition and Computer Vision 2016: 89-107 - [i1]Dong Nie, Roger Trullo, Caroline Petitjean, Su Ruan, Dinggang Shen:
Medical Image Synthesis with Context-Aware Generative Adversarial Networks. CoRR abs/1612.05362 (2016) - 2015
- [j13]Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan:
Robust feature selection to predict tumor treatment outcome. Artif. Intell. Medicine 64(3): 195-204 (2015) - [j12]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): 187-202 (2015) - [j11]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): 84-91 (2015) - [c20]Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte:
Segmentation-free pattern spotting in historical document images. ICDAR 2015: 606-610 - [c19]Arturo Mendoza Quispe, Caroline Petitjean:
Shape prior based image segmentation using manifold learning. IPTA 2015: 137-142 - [c18]Sovann En, Frédéric Jurie, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte:
Linear Discriminant Analysis for Zero-shot Learning Image Retrieval. VISAPP (2) 2015: 70-77 - 2014
- [j10]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): 105-118 (2014) - [j9]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): 995-1003 (2014) - [c17]Paul Desbordes, Caroline Petitjean, Su Ruan:
3D automated lymphoma segmentation in PET images based on cellular automata. IPTA 2014: 23-28 - [c16]Damien Grosgeorge, Caroline Petitjean, Su Ruan:
Joint segmentation of right and left cardiac ventricles using multi-label graph cut. ISBI 2014: 429-432 - [c15]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: 1385-1388 - 2013
- [j8]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: 547897:1-547897:6 (2013) - [j7]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): 1027-1035 (2013) - [j6]Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte:
One class random forests. Pattern Recognit. 46(12): 3490-3506 (2013) - [c14]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: 1404-1407 - 2012
- [j5]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): 264-270 (2012) - [j4]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): 2677-2683 (2012) - [c13]David Hebert, Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville:
Detection of pathological condition in distal lung images. ISBI 2012: 1603-1606 - [c12]Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte:
A Random Forest Based Approach for One Class Classification in Medical Imaging. MLMI 2012: 250-257 - [c11]Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte:
A New Random Forest Method for One-Class Classification. SSPR/SPR 2012: 282-290 - 2011
- [j3]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): 573-581 (2011) - [j2]Caroline Petitjean, Jean-Nicolas Dacher:
A review of segmentation methods in short axis cardiac MR images. Medical Image Anal. 15(2): 169-184 (2011) - 2010
- [c10]Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville:
Using a Priori Knowledge to Classify in Vivo Images of the Lung. ICIC (2) 2010: 207-212
2000 – 2009
- 2009
- [c9]Caroline Petitjean, Laurent Heutte, Régis Kouadio, Vincent Delcourt:
A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes. IbPRIA 2009: 225-232 - [c8]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: 994-1003 - [c7]Caroline Petitjean, Jonathan Benoist, Luc Thiberville, Mathieu Salaün, Laurent Heutte:
Classification of In-Vivo Endomicroscopic Images of the Alveolar Respiratory System. MVA 2009: 471-474 - [c6]Caroline Petitjean, Laurent Heutte, Régis Kouadio, Vincent Delcourt:
Automatic Extraction of Droppers in Catenary Scenes. MVA 2009: 497-500 - 2008
- [c5]Florent Montreuil, Régis Kouadio, Caroline Petitjean, Laurent Heutte, Vincent Delcourt:
Automatic extraction of information for catenary scene analysis. EUSIPCO 2008: 1-5 - 2005
- [j1]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): 353-375 (2005) - 2004
- [c4]Nicolas F. Rougon, Caroline Petitjean, Françoise J. Prêteux:
Building and using a statistical 3D motion atlas for analyzing myocardial contraction in MRI. Image Processing 2004 - 2003
- [b1]Caroline Petitjean:
Recalage non rigide d'images par approches variationnelles statistiques - Application à l'analyse et à la modélisation de la fonction myocardique en IRM. Paris Descartes University, France, 2003 - [c3]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: 1159-1164 - [c2]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: 162-172 - [c1]Nicolas Rougon, Caroline Petitjean, Françoise J. Prêteux:
Variational non rigid image registration using exclusive F-information. ICIP (2) 2003: 703-706
Coauthor Index
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