Su Ruan
Su Ruan
LITIS, Université de Rouen, France
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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
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
A review: Deep learning for medical image segmentation using multi-modality fusion
T Zhou, S Ruan, S Canu
Array 3, 100004, 2019
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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