| 3D deep learning for multi-modal imaging-guided survival time prediction of brain tumor patients D Nie, H Zhang, E Adeli, L Liu, D Shen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 369 | 2016 |
| Multi-channel 3D deep feature learning for survival time prediction of brain tumor patients using multi-modal neuroimages D Nie, J Lu, H Zhang, E Adeli, J Wang, Z Yu, LY Liu, Q Wang, J Wu, ... Scientific reports 9 (1), 1103, 2019 | 196 | 2019 |
| Dynamic joint domain adaptation network for motor imagery classification X Hong, Q Zheng, L Liu, P Chen, K Ma, Z Gao, Y Zheng IEEE Transactions on Neural Systems and Rehabilitation Engineering 29, 556-565, 2021 | 89 | 2021 |
| Outcome prediction for patient with high-grade gliomas from brain functional and structural networks L Liu, H Zhang, I Rekik, X Chen, Q Wang, D Shen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 55 | 2016 |
| Overall survival time prediction for high-grade glioma patients based on large-scale brain functional networks L Liu, H Zhang, J Wu, Z Yu, X Chen, I Rekik, Q Wang, J Lu, D Shen Brain imaging and behavior 13, 1333-1351, 2019 | 51 | 2019 |
| Multi-label nonlinear matrix completion with transductive multi-task feature selection for joint MGMT and IDH1 status prediction of patient with high-grade gliomas L Chen, H Zhang, J Lu, K Thung, A Aibaidula, L Liu, S Chen, L Jin, J Wu, ... IEEE transactions on medical imaging 37 (8), 1775-1787, 2018 | 33 | 2018 |
| Feature selection based on iterative canonical correlation analysis for automatic diagnosis of Parkinson’s disease L Liu, Q Wang, E Adeli, L Zhang, H Zhang, D Shen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 21 | 2016 |
| Exploring diagnosis and imaging biomarkers of Parkinson’s disease via iterative canonical correlation analysis based feature selection L Liu, Q Wang, E Adeli, L Zhang, H Zhang, D Shen Computerized Medical Imaging and Graphics 67, 21-29, 2018 | 15 | 2018 |
| Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift Q Zhang, L Liu, K Ma, C Zhuo, Y Zheng arXiv preprint arXiv:2006.10990, 2020 | 13 | 2020 |
| Multi-label inductive matrix completion for joint MGMT and IDH1 status prediction for glioma patients L Chen, H Zhang, KH Thung, L Liu, J Lu, J Wu, Q Wang, D Shen Medical Image Computing and Computer-Assisted Intervention− MICCAI 2017 …, 2017 | 12 | 2017 |
| Learning crisp edge detector using logical refinement network L Liu, K Ma, Y Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 1 | 2020 |