| 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 | 1699 | 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 | 1165 | 2016 |
| A review of segmentation methods in short axis cardiac MR images C Petitjean, JN Dacher Medical image analysis 15 (2), 169-184, 2011 | 906 | 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 | 864 | 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 | 653 | 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 | 428 | 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 | 382 | 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 | 265 | 2015 |
| One class random forests C Désir, S Bernard, C Petitjean, L Heutte Pattern Recognition 46 (12), 3490-3506, 2013 | 207 | 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 | 203 | 2005 |
| 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 | 132 | 2020 |
| 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 | 118 | 2013 |
| 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 | 106 | 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 | 97 | 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 |
| 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 | 93 | 2021 |
| 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 | 92 | 2011 |
| 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 | 73 | 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 | 68 | 2016 |
Laurent HEUTTEProfessor of Computer Science, LITIS lab, University of Rouen, Franceuniv-rouen.fr의 이메일 확인됨