| 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 42 (4), 880-893, 2018 | 151 | 2018 |
| 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 | 84 | 2018 |
| 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 | 73 | 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 | 67 | 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 | 64 | 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 | 47 | 2018 |
| 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 | 43 | 2019 |
| 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 | 39 | 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 | 39 | 2016 |
| 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 50 (7), 3381-3392, 2019 | 35 | 2019 |
| Developmental topography of cortical thickness during infancy F Wang, C Lian, Z Wu, H Zhang, T Li, Y Meng, L Wang, W Lin, D Shen, ... Proceedings of the National Academy of Sciences 116 (32), 15855-15860, 2019 | 29 | 2019 |
| Spatial-temporal dependency modeling and network hub detection for functional MRI analysis via convolutional-recurrent network M Wang, C Lian, D Yao, D Zhang, M Liu, D Shen IEEE Transactions on Biomedical Engineering 67 (8), 2241-2252, 2019 | 27 | 2019 |
| 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 | 27 | 2017 |
| Deep multi-scale mesh feature learning for automated labeling of raw dental surfaces from 3D intraoral scanners C Lian, L Wang, TH Wu, F Wang, PT Yap, CC Ko, D Shen IEEE transactions on medical imaging 39 (7), 2440-2450, 2020 | 19 | 2020 |
| Treatment outcome prediction for cancer patients based on radiomics and belief function theory J Wu, C Lian, S Ruan, TR Mazur, S Mutic, MA Anastasio, PW Grigsby, ... IEEE transactions on radiation and plasma medical sciences 3 (2), 216-224, 2018 | 16 | 2018 |
| 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 | 16 | 2018 |
| Disease-image specific generative adversarial network for brain disease diagnosis with incomplete multi-modal neuroimages Y Pan, M Liu, C Lian, Y Xia, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 14 | 2019 |
| Spatially-constrained Fisher representation for brain disease identification with incomplete multi-modal neuroimages Y Pan, M Liu, C Lian, Y Xia, D Shen IEEE Transactions on Medical Imaging 39 (9), 2965-2975, 2020 | 12 | 2020 |
| Meshsnet: Deep multi-scale mesh feature learning for end-to-end tooth labeling on 3d dental surfaces C Lian, L Wang, TH Wu, M Liu, F Durán, CC Ko, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 12 | 2019 |
| 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 | 11 | 2016 |
Dinggang ShenProfessor and Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerified email at shanghaitech.edu.cn
