Su Ruan
Su Ruan
University of Rouen, France
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Cited by
Cited by
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
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
A review: Deep learning for medical image segmentation using multi-modality fusion
T Zhou, S Ruan, S Canu
Array 3, 100004, 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
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
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
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
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
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 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
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
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
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
Binary-image comparison with local-dissimilarity quantification
É Baudrier, F Nicolier, G Millon, S Ruan
Pattern Recognition 41 (5), 1461-1478, 2008
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
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
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