| An evidential classifier based on feature selection and two-step classification strategy C Lian, S Ruan, T Denœux Pattern Recognition 48 (7), 2318-2327, 2015 | 55 | 2015 |
| 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 | 44 | 2016 |
| Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images C Lian, J Zhang, M Liu, X Zong, SC Hung, W Lin, D Shen Medical image analysis 46, 106-117, 2018 | 28 | 2018 |
| Hierarchical Fully Convolutional Network for Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI C Lian, M Liu, J Zhang, D Shen IEEE transactions on pattern analysis and machine intelligence, 2018 | 25 | 2018 |
| Dissimilarity metric learning in the belief function framework C Lian, S Ruan, T Denoeux IEEE Transactions on Fuzzy Systems 24 (6), 1555-1564, 2016 | 23 | 2016 |
| Synthesizing missing PET from MRI with cycle-consistent generative adversarial networks for Alzheimer’s disease diagnosis Y Pan, M Liu, C Lian, T Zhou, Y Xia, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 19 | 2018 |
| Joint tumor segmentation in PET-CT images using co-clustering and fusion based on belief functions C Lian, S Ruan, T Denœux, H Li, P Vera IEEE Transactions on Image Processing 28 (2), 755-766, 2018 | 16 | 2018 |
| Spatial evidential clustering with adaptive distance metric for tumor segmentation in FDG-PET images C Lian, S Ruan, T Denœux, H Li, P Vera IEEE Transactions on Biomedical Engineering 65 (1), 21-30, 2017 | 15 | 2017 |
| Volume-based analysis of 6-month-old infant brain MRI for autism biomarker identification and early diagnosis L Wang, G Li, F Shi, X Cao, C Lian, D Nie, M Liu, H Zhang, G Li, Z Wu, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 9 | 2018 |
| Outcome prediction in tumour therapy based on Dempster-Shafer theory C Lian, S Ruan, T Denœux, P Vera 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 63-66, 2015 | 8 | 2015 |
| A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images J Wu, TR Mazur, S Ruan, C Lian, N Daniel, H Lashmett, L Ochoa, I Zoberi, ... Medical image analysis 47, 68-80, 2018 | 7 | 2018 |
| Robust cancer treatment outcome prediction dealing with small-sized and imbalanced data from FDG-PET images C Lian, S Ruan, T Denœux, H Li, P Vera International Conference on medical image computing and computer-assisted …, 2016 | 7 | 2016 |
| Dempster-Shafer theory based feature selection with sparse constraint for outcome prediction in cancer therapy C Lian, S Ruan, T Denœux, H Li, P Vera International conference on medical image computing and computer-assisted …, 2015 | 6 | 2015 |
| Multimodality semantic segmentation based on polarization and color images F Wang, S Ainouz, C Lian, A Bensrhair Neurocomputing 253, 193-200, 2017 | 5 | 2017 |
| Construction of spatiotemporal infant cortical surface atlas of rhesus macaque F Wang, C Lian, J Xia, Z Wu, D Duan, L Wang, D Shen, G Li 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 3 | 2018 |
| MO‐AB‐BRA‐10: Cancer Therapy Outcome Prediction Based On Dempster‐Shafer Theory and PET Imaging C Lian, H Li, T Denoeux, H Chen, C Robinson, P Vera, S Ruan Medical physics 42 (6Part27), 3549-3549, 2015 | 3 | 2015 |
| Weakly Supervised Deep Learning for Brain Disease Prognosis Using MRI and Incomplete Clinical Scores M Liu, J Zhang, C Lian, D Shen IEEE transactions on cybernetics, 2019 | 2 | 2019 |
| Active learning with noise modeling for medical image annotation J Wu, S Ruan, C Lian, S Mutic, MA Anastasio, H Li 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 2 | 2018 |
| Joint feature transformation and selection based on Dempster-Shafer theory C Lian, S Ruan, T Denœux International Conference on Information Processing and Management of …, 2016 | 2 | 2016 |
| Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks T Liu, Q Guo, C Lian, X Ren, S Liang, J Yu, L Niu, W Sun, D Shen Medical image analysis 58, 101555, 2019 | 1 | 2019 |
Su RuanUniversity of Rouen, FranceVerified email at univ-rouen.fr
