| 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 | 780 | 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 | 567 | 2018 |
| Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation A Amyar, R Modzelewski, H Li, S Ruan Computers in biology and medicine 126, 104037, 2020 | 552 | 2020 |
| A review: Deep learning for medical image segmentation using multi-modality fusion T Zhou, S Ruan, S Canu Array 3, 100004, 2019 | 540 | 2019 |
| Kernel feature selection to fuse multi-spectral MRI images for brain tumor segmentation N Zhang, S Ruan, S Lebonvallet, Q Liao, Y Zhu Computer Vision and Image Understanding 115 (2), 256-269, 2011 | 257 | 2011 |
| 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 | 251 | 2015 |
| A framework of fuzzy information fusion for the segmentation of brain tumor tissues on MR images W Dou, S Ruan, Y Chen, D Bloyet, JM Constans Image and vision Computing 25 (2), 164-171, 2007 | 249 | 2007 |
| Brain tissue classification of magnetic resonance images using partial volume modeling S Ruan, C Jaggi, J Xue, J Fadili, D Bloyet IEEE transactions on Medical Imaging 19 (12), 1179-1187, 2000 | 217 | 2000 |
| Automatic COVID‐19 CT segmentation using U‐Net integrated spatial and channel attention mechanism T Zhou, S Canu, S Ruan International Journal of Imaging Systems and Technology 31 (1), 16-27, 2021 | 186 | 2021 |
| A robust agorithm for eye detection on gray intensity face without spectacles K Peng, L Chen, S Ruan, G Kukharev Journal of Computer Science & Technology 5, 2005 | 168 | 2005 |
| Overview of the HECKTOR challenge at MICCAI 2021: automatic head and neck tumor segmentation and outcome prediction in PET/CT images V Andrearczyk, V Oreiller, S Boughdad, CCL Rest, H Elhalawani, ... 3D head and neck tumor segmentation in PET/CT challenge, 1-37, 2021 | 148 | 2021 |
| Latent correlation representation learning for brain tumor segmentation with missing MRI modalities T Zhou, S Canu, P Vera, S Ruan IEEE Transactions on Image Processing 30, 4263-4274, 2021 | 140 | 2021 |
| A multistep unsupervised fuzzy clustering analysis of fMRI time series MJ Fadili, S Ruan, D Bloyet, B Mazoyer Human brain mapping 10 (4), 160-178, 2000 | 135 | 2000 |
| Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier P Desbordes, S Ruan, M Romain, V Sébastien, V Pierre, G Isabelle Computerized Medical Imaging and Graphics 60, 42-49, 2017 | 131 | 2017 |
| Fuzzy Markovian segmentation in application of magnetic resonance images S Ruan, B Moretti, J Fadili, D Bloyet Computer vision and image understanding 85 (1), 54-69, 2002 | 118 | 2002 |
| 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 | 112 | 2013 |
| Tumor segmentation from a multispectral MRI images by using support vector machine classification S Ruan, S Lebonvallet, A Merabet, JM Constans 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to …, 2007 | 109 | 2007 |
| On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series MJ Fadili, S Ruan, D Bloyet, B Mazoyer Medical Image Analysis 5 (1), 55-67, 2001 | 106 | 2001 |
| 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 | 103 | 2017 |
| SegTHOR: Segmentation of thoracic organs at risk in CT images Z Lambert, C Petitjean, B Dubray, S Ruan 2020 Tenth International Conference on Image Processing Theory, Tools and …, 2020 | 100 | 2020 |
Frédéric Morain-NicolierFull Professor - CReSTIC - IUT de Troyes - URCADirección de correo verificada de univ-reims.fr
