| Progressive pretraining network for 3D system matrix calibration in magnetic particle imaging G Shi, L Yin, Y An, G Li, L Zhang, Z Bian, Z Chen, H Zhang, H Hui, J Tian IEEE Transactions on Medical Imaging 42 (12), 3639-3650, 2023 | 23 | 2023 |
| Widespread plasticity of cognition-related brain networks in single-sided deafness revealed by randomized window-based dynamic functional connectivity Y Zhu, X Li, Y Qiao, R Shang, G Shi, Y Shang, H Guo Medical Image Analysis 73, 102163, 2021 | 23 | 2021 |
| SMIR: A Transformer-Based Model for MRI super-resolution reconstruction C Yan, G Shi, Z Wu 2021 IEEE International Conference on Medical Imaging Physics and …, 2021 | 21 | 2021 |
| The divided brain: Functional brain asymmetry underlying self-construal G Shi, X Li, Y Zhu, R Shang, Y Sun, H Guo, J Sui NeuroImage 240, 118382, 2021 | 17 | 2021 |
| Hegcl: Advance self-supervised learning in heterogeneous graph-level representation G Shi, Y Zhu, JK Liu, X Li IEEE Transactions on Neural Networks and Learning Systems 35 (10), 13914-13925, 2023 | 12 | 2023 |
| Heterogeneous graph-based multimodal brain network learning G Shi, Y Zhu, W Liu, Q Yao, X Li arXiv preprint arXiv:2110.08465, 2021 | 8* | 2021 |
| Are nonimage data really necessary for disease prediction with graph convolutional networks? G Shi, Y Zhu, Z Chen, J Liu, X Li IEEE Transactions on Cognitive and Developmental Systems 15 (1), 252-260, 2022 | 5 | 2022 |
| 3D system matrix calibration by using coil information and transformer G Shi, L Zhang, H Hui, J Tian International Journal on Magnetic Particle Imaging IJMPI 9 (1 Suppl 1), 2023 | 2 | 2023 |
| Benefit from public unlabeled data: A Frangi filter-based pretraining network for 3D cerebrovascular segmentation G Shi, H Lu, H Hui, J Tian Medical Image Analysis, 103442, 2025 | 1 | 2025 |
| Contrastive Hierarchical Augmentation Learning for Modeling Cognitive and Multimodal Brain Network G Shi, Y Yao, Y Zhu, X Lin, L Ji, W Liu, X Li IEEE Transactions on Computational Social Systems, 2024 | 1 | 2024 |
| Fusion Learning of Multimodal Neuroimaging with Weighted Graph AutoEncoder G Shi, Y Zhu, F Zhang, W Liu, Y Yao, X Li 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 1 | 2022 |
| FSC-loss: A Frequency-domain Structure Consistency Learning Approach for Signal Data Recovery and Reconstruction L Zhang, Z Miao, F Yang, G Shi, J He, Y An, H Hui, J Tian arXiv preprint arXiv:2501.04308, 2025 | | 2025 |
| Accurate and robust segmentation of cerebral vasculature on four-dimensional arterial spin labeling magnetic resonance angiography using machine-learning approach W Liao, G Shi, Y Lv, L Liu, X Tang, Y Jin, Z Ning, X Zhao, X Li, Z Chen Magnetic Resonance Imaging 110, 86-95, 2024 | | 2024 |
| Estimating Flow Direction of Circle of Willis Using Dynamic Arterial Spin Labeling Magnetic Resonance Angiography K Zhang, H Akcicek, G Shi, G Canton, J Liu, Y Guo, X Wang, L Chen, ... American Journal of Neuroradiology, 2024 | | 2024 |
| Deep-learning-based denoising network for reducing MPI multiple repetition measurements G Shi, H Hui, J Tian International Journal on Magnetic Particle Imaging IJMPI 10 (1 Suppl 1), 2024 | | 2024 |
| Dynamic neural network approach to human emotion: an analysis based on sliding time windows J Wang, G Shi, N Ma, Y Sun, X Li, J Sui 2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive …, 2021 | | 2021 |
