Caroline Petitjean

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Laurent HEUTTEProfessor of Computer Science, LITIS lab, University of Rouen, FranceVerified email at univ-rouen.fr
Jean-Nicolas DacherNormandie Université, FranceVerified email at chu-rouen.fr
Roger TrulloResearch Scientist, SanofiVerified email at sanofi.com
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
Dong NieMeta Inc.Verified email at cs.unc.edu
Luiz Eduardo S. OliveiraFederal University of Parana, Dept of InformaticsVerified email at ufpr.br
Fabio Alexandre SpanholUTFPRVerified email at utfpr.edu.br
Chesner desirResearch engineer, Diabeloop Grenoble, FranceVerified email at diabeloop.fr
Paul HoneineProfessor in Machine Learning & Signal Processing, LITIS Lab, Université de Rouen NormandieVerified email at univ-rouen.fr
Bernard DUBRAYProfessor of Radiation Oncology, University of Normandy, Rouen, FranceVerified email at chb.unicancer.fr
Luc ThibervilleProfesseur des Université - Praticien HospitalierVerified email at univ-rouen.fr
Jun LianUNC Chapel HillVerified email at med.unc.edu
Rosana EL JURDISorbonne Universite, Institute du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HPVerified email at euranova.eu
Abdallah FahedProfessor, Lorraine UniversityVerified email at univ-lorraine.fr
Qian WangSchool of Biomedical Engineering, ShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Stéphane NicolasMCF, LITIS, Université de RouenVerified email at univ-rouen.fr
samia ainouzProfesseur des Universités, INSA de RouenVerified email at insa-rouen.fr
Veronika CheplyginaIT University CopenhagenVerified email at itu.dk
Zoé LambertPost-doctorante, CeremaVerified email at insa-rouen.fr
Simon BernardAssociate Professor (MCF), LITIS lab, Université Rouen Normandie, FranceVerified email at univ-rouen.fr

Caroline Petitjean

LITIS EA 4108, Université de Rouen, France

Verified email at univ-rouen.fr - Homepage

Image processing machine learning medical image analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A dataset for breast cancer histopathological image classification FA Spanhol, LS Oliveira, C Petitjean, L Heutte Ieee transactions on biomedical engineering 63 (7), 1455-1462, 2015	1570	2015
Breast cancer histopathological image classification using convolutional neural networks FA Spanhol, LS Oliveira, C Petitjean, L Heutte 2016 international joint conference on neural networks (IJCNN), 2560-2567, 2016	1112	2016
A review of segmentation methods in short axis cardiac MR images C Petitjean, JN Dacher Medical image analysis 15 (2), 169-184, 2011	896	2011
Medical image synthesis with context-aware generative adversarial networks D Nie, R Trullo, J Lian, C Petitjean, S Ruan, Q Wang, D Shen Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017	832	2017
Medical image synthesis with deep convolutional adversarial networks D Nie, R Trullo, J Lian, L Wang, C Petitjean, S Ruan, Q Wang, D Shen IEEE Transactions on Biomedical Engineering 65 (12), 2720-2730, 2018	620	2018
Multiple instance learning for histopathological breast cancer image classification PJ Sudharshan, C Petitjean, F Spanhol, LE Oliveira, L Heutte, P Honeine Expert Systems with Applications 117, 103-111, 2019	411	2019
Deep features for breast cancer histopathological image classification FA Spanhol, LS Oliveira, PR Cavalin, C Petitjean, L Heutte 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017	368	2017
Right ventricle segmentation from cardiac MRI: a collation study C Petitjean, MA Zuluaga, W Bai, JN Dacher, D Grosgeorge, J Caudron, ... Medical image analysis 19 (1), 187-202, 2015	261	2015
One class random forests C Désir, S Bernard, C Petitjean, L Heutte Pattern Recognition 46 (12), 3490-3506, 2013	200	2013
Assessment of myocardial function: a review of quantification methods and results using tagged MRI C Petitjean, N Rougon, P Cluzel Journal of Cardiovascular Magnetic Resonance 7 (2), 501-516, 2005	199	2005
Graph cut segmentation with a statistical shape model in cardiac MRI D Grosgeorge, C Petitjean, JN Dacher, S Ruan Computer Vision and Image Understanding 117 (9), 1027-1035, 2013	115	2013
Segthor: Segmentation of thoracic organs at risk in ct images Z Lambert, C Petitjean, B Dubray, S Kuan 2020 Tenth International Conference on Image Processing Theory, Tools and …, 2020	113	2020
Segmentation of organs at risk in thoracic CT images using a sharpmask architecture and conditional random fields R Trullo, C Petitjean, S Ruan, B Dubray, D Nie, D Shen 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017	105	2017
Cardiac MRI assessment of right ventricular function in acquired heart disease: factors of variability J Caudron, J Fares, V Lefebvre, PH Vivier, C Petitjean, JN Dacher Academic radiology 19 (8), 991-1002, 2012	95	2012
Automatic cardiac ventricle segmentation in MR images: a validation study D Grosgeorge, C Petitjean, J Caudron, J Fares, JN Dacher International journal of computer assisted radiology and surgery 6, 573-581, 2011	94	2011
Diagnostic accuracy and variability of three semi-quantitative methods for assessing right ventricular systolic function from cardiac MRI in patients with acquired heart disease J Caudron, J Fares, PH Vivier, V Lefebvre, C Petitjean, JN Dacher European radiology 21, 2111-2120, 2011	90	2011
High-level prior-based loss functions for medical image segmentation: A survey R El Jurdi, C Petitjean, P Honeine, V Cheplygina, F Abdallah Computer Vision and Image Understanding 210, 103248, 2021	84	2021
Robust feature selection to predict tumor treatment outcome H Mi, C Petitjean, B Dubray, P Vera, S Ruan Artificial intelligence in medicine 64 (3), 195-204, 2015	71	2015
A non-rigid registration approach for quantifying myocardial contraction in tagged MRI using generalized information measures N Rougon, C Petitjean, F Prêteux, P Cluzel, P Grenier Medical Image Analysis 9 (4), 353-375, 2005	69	2005
Medical image synthesis with context-aware generative adversarial networks D Nie, R Trullo, C Petitjean, S Ruan, D Shen arXiv preprint arXiv:1612.05362, 2016	65	2016

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