Su Ruan
Su Ruan
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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
International conference on medical image computing and computer-assisted …, 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 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
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 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
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
A review: Deep learning for medical image segmentation using multi-modality fusion
T Zhou, S Ruan, S Canu
Array 3, 100004, 2019
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
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
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
Binary-image comparison with local-dissimilarity quantification
É Baudrier, F Nicolier, G Millon, S Ruan
Pattern Recognition 41 (5), 1461-1478, 2008
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
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
Fuzzy kappa for the agreement measure of fuzzy classifications
W Dou, Y Ren, Q Wu, S Ruan, Y Chen, D Bloyet, JM Constans
Neurocomputing 70 (4-6), 726-734, 2007
An evidential classifier based on feature selection and two-step classification strategy
C Lian, S Ruan, T Denoeux
Pattern Recognition 48 (7), 2318-2327, 2015
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
Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction
C Lian, S Ruan, T Denœux, F Jardin, P Vera
Medical image analysis 32, 257-268, 2016
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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