| Brain age estimation from MRI using cascade networks with ranking loss J Cheng, Z Liu, H Guan, Z Wu, H Zhu, J Jiang, W Wen, D Tao, T Liu IEEE Transactions on Medical Imaging 40 (12), 3400-3412, 2021 | 72 | 2021 |
| Predicting functional outcome in patients with acute brainstem infarction using deep neuroimaging features L Ding, Z Liu, R Mane, S Wang, J Jing, H Fu, Z Wu, H Li, Y Jiang, X Meng, ... European Journal of Neurology 29 (3), 744-752, 2022 | 11 | 2022 |
| A deep learning system to predict recurrence and disability outcomes in patients with transient ischemic attack or ischemic stroke J Jing, Z Liu, H Guan, W Zhu, Z Zhang, X Meng, J Cheng, Y Pan, Y Jiang, ... Advanced Intelligent Systems 5 (4), 2200240, 2023 | 6 | 2023 |
| Brain age estimation from mri using a two-stage cascade network with ranking loss Z Liu, J Cheng, H Zhu, J Zhang, T Liu Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 6 | 2020 |
| C3R: Category contrastive adaptation and consistency regularization for cross-modality medical image segmentation S Ding, Z Liu, P Liu, W Zhu, H Xu, Z Li, H Niu, J Cheng, T Liu Expert Systems with Applications 269, 126304, 2025 | | 2025 |
| Multiparametric MRI-based machine learning system of molecular subgroups and prognosis in medulloblastoma Z Liu, S Ren, H Zhang, Z Liao, Z Liu, X An, J Cheng, C Li, J Gong, H Niu, ... European Radiology, 1-11, 2025 | | 2025 |
| A Deep Learning-Based Framework for Predicting Intracerebral Hematoma Expansion Using Head Non-contrast CT Scan N Li, S Ding, Z Liu, W Ye, P Liu, J Jing, Y Jiang, X Zhao, T Liu Academic Radiology 32 (1), 347-358, 2025 | | 2025 |
| CT perfusion parameter estimation in stroke using neural network with transformer and physical model priors L Luo, P Liu, W Ye, F Chen, Y Liu, Z Liu, J Jing, Y Xiong, W Zhu, Y Jiang, ... Computers in Biology and Medicine 182, 109134, 2024 | | 2024 |