Caroline Petitjean

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Laurent HEUTTEProfessor of Computer Science, LITIS lab, University of Rouen, FranceVerified email at univ-rouen.fr
Su RuanUniversity 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 ShenProfessor and Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
Dong NieAlibaba Inc.Verified email at cs.unc.edu
Chesner desirResearch engineer, Diabeloop Grenoble, FranceVerified email at diabeloop.fr
Luiz Eduardo S. OliveiraFederal University of Parana, Dept of InformaticsVerified email at ufpr.br
Fabio Alexandre SpanholUTFPRVerified email at utfpr.edu.br
Bernard DUBRAYProfessor of Radiation Oncology, University of Normandy, Rouen, FranceVerified email at chb.unicancer.fr
Paul HoneineProfessor in Machine Learning & Signal Processing, LITIS Lab, Université de Rouen NormandieVerified email at univ-rouen.fr
Luc ThibervilleProfesseur des Université - Praticien HospitalierVerified email at univ-rouen.fr
Jun LianUNC Chapel HillVerified email at med.unc.edu
Qian WangSchool of Biomedical Engineering, ShanghaiTech UniversityVerified email at shanghaitech.edu.cn
Stéphane NicolasMCF, LITIS, Université de RouenVerified email at univ-rouen.fr
Simon BernardAssociate Professor (MCF), LITIS lab, Université Rouen Normandie, FranceVerified email at univ-rouen.fr
Rosana EL JURDINormandie Univ, INSA Rouen, UNIROUEN, UNIHAVRE, LITIS, Rouen, FranceVerified email at univ-rouen.fr
samia ainouzMaître de conférences, INSA de RouenVerified email at insa-rouen.fr
Li WangAssistant Professor of Radiology, Director of Developing Brain Computing Lab, UNC-Chapel HillVerified email at med.unc.edu
Frederic JurieUniversity of Caen, currently seconded to SAFRANVerified email at unicaen.fr

Caroline Petitjean

LITIS EA 4108, University of Rouen, France

Verified email at univ-rouen.fr - Homepage

Image processing machine learning medical image analysis


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A review of segmentation methods in short axis cardiac MR images C Petitjean, JN Dacher Medical image analysis 15 (2), 169-184, 2011	750	2011
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	606	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	566	2016
Medical image synthesis with context-aware generative adversarial networks D Nie, R Trullo, J Lian, C Petitjean, S Ruan, Q Wang, D Shen International conference on medical image computing and computer-assisted …, 2017	509	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	253	2018
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	173	2005
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	171	2015
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	167	2017
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	153	2019
One class random forests C Désir, S Bernard, C Petitjean, L Heutte Pattern Recognition 46 (12), 3490-3506, 2013	141	2013
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 (5), 573-581, 2011	88	2011
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	84	2013
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	79	2012
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 (10), 2111-2120, 2011	72	2011
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	67	2017
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	64	2005
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	42	2015
Joint segmentation of multiple thoracic organs in CT images with two collaborative deep architectures R Trullo, C Petitjean, D Nie, D Shen, S Ruan Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017	31	2017
Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images H Mi, C Petitjean, P Vera, S Ruan Medical image analysis 23 (1), 84-91, 2015	31	2015
Prediction of lung tumor evolution during radiotherapy in individual patients with PET H Mi, C Petitjean, B Dubray, P Vera, S Ruan IEEE transactions on medical imaging 33 (4), 995-1003, 2014	31	2014

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