| Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities R Wang, M Liu, X Cheng, Y Wu, A Hildebrandt, C Zhou Proceedings of the National Academy of Sciences 118 (23), e2022288118, 2021 | 198 | 2021 |
| Hierarchical connectome modes and critical state jointly maximize human brain functional diversity R Wang, P Lin, M Liu, Y Wu, T Zhou, C Zhou Physical review letters 123 (3), 038301, 2019 | 97 | 2019 |
| Social contagions on time-varying community networks MX Liu, W Wang, Y Liu, M Tang, SM Cai, HF Zhang Physical Review E 95 (5), 052306, 2017 | 48 | 2017 |
| Assessing spatiotemporal variability of brain spontaneous activity by multiscale entropy and functional connectivity M Liu, C Song, Y Liang, T Knöpfel, C Zhou NeuroImage 198, 198-220, 2019 | 42 | 2019 |
| Predicting reading ability from brain anatomy and function: From areas to connections D Kristanto, M Liu, X Liu, W Sommer, C Zhou NeuroImage 218, 116966, 2020 | 36 | 2020 |
| Cortex-wide dynamics of intrinsic electrical activities: propagating waves and their interactions Y Liang, C Song, M Liu, P Gong, C Zhou, T Knöpfel Journal of Neuroscience 41 (16), 3665-3678, 2021 | 34 | 2021 |
| Hierarchical graph convolutional network built by multiscale atlases for brain disorder diagnosis using functional connectivity M Liu, H Zhang, F Shi, D Shen IEEE Transactions on Neural Networks and Learning Systems, 2023 | 26 | 2023 |
| Individual cortical entropy profile: Test–retest reliability, predictive power for cognitive ability, and neuroanatomical foundation M Liu, X Liu, A Hildebrandt, C Zhou Cerebral Cortex Communications 1 (1), tgaa015, 2020 | 26 | 2020 |
| The reliability and psychometric structure of Multi-Scale Entropy measured from EEG signals at rest and during face and object recognition tasks Y Kaur, G Ouyang, M Junge, W Sommer, M Liu, C Zhou, A Hildebrandt Journal of Neuroscience Methods 326, 108343, 2019 | 21 | 2019 |
| Complexity of cortical wave patterns of the wake mouse cortex Y Liang, J Liang, C Song, M Liu, T Knöpfel, P Gong, C Zhou Nature Communications 14 (1), 1434, 2023 | 19 | 2023 |
| PET-diffusion: Unsupervised PET enhancement based on the latent diffusion model C Jiang, Y Pan, M Liu, L Ma, X Zhang, J Liu, X Xiong, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 18 | 2023 |
| Multiscale functional connectome abnormality predicts cognitive outcomes in subcortical ischemic vascular disease M Liu, Y Wang, H Zhang, Q Yang, F Shi, Y Zhou, D Shen Cerebral Cortex 32 (21), 4641-4656, 2022 | 15 | 2022 |
| Building dynamic hierarchical brain networks and capturing transient meta-states for early mild cognitive impairment diagnosis M Liu, H Zhang, F Shi, D Shen Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 15 | 2021 |
| S3R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites J Zhang, R Gu, P Xue, M Liu, H Zheng, Y Zheng, L Ma, G Wang, L Gu IEEE Transactions on Medical Imaging 42 (9), 2539-2551, 2023 | 12 | 2023 |
| Predicting brain amyloid-β pet grades with graph convolutional networks based on functional mri and multi-level functional connectivity C Li, M Liu, J Xia, L Mei, Q Yang, F Shi, H Zhang, D Shen Journal of Alzheimer’s Disease 86 (4), 1679-1693, 2022 | 11 | 2022 |
| Medbench: A comprehensive, standardized, and reliable benchmarking system for evaluating chinese medical large language models M Liu, W Hu, J Ding, J Xu, X Li, L Zhu, Z Bai, X Shi, B Wang, H Song, P Liu, ... Big Data Mining and Analytics 7 (4), 1116-1128, 2024 | 8 | 2024 |
| Adult-like phase and multi-scale assistance for isointense infant brain tissue segmentation J Liu, F Liu, K Sun, M Liu, Y Sun, Y Ge, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 8 | 2023 |
| Convolutional neural network to predict IDH mutation status in glioma from chemical exchange saturation transfer imaging at 7 Tesla Y Yuan, Y Yu, J Chang, YH Chu, W Yu, YC Hsu, LA Patrick, M Liu, Q Yue Frontiers in oncology 13, 1134626, 2023 | 8 | 2023 |
| Learning towards synchronous network memorizability and generalizability for continual segmentation across multiple sites J Zhang, P Xue, R Gu, Y Gu, M Liu, Y Pan, Z Cui, J Huang, L Ma, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 8 | 2022 |
| Randomizing human brain function representation for brain disease diagnosis M Liu, H Zhang, M Liu, D Chen, Z Zhuang, X Wang, L Zhang, D Peng, ... IEEE Transactions on Medical Imaging, 2024 | 6 | 2024 |
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceVerifisert e-postadresse på shanghaitech.edu.cn