| A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer’s disease M Liu, F Li, H Yan, K Wang, Y Ma, L Shen, M Xu, ... Neuroimage 208, 116459, 2020 | 429 | 2020 |
| Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks F Li, M Liu, Alzheimer's Disease Neuroimaging Initiative Computerized Medical Imaging and Graphics 70, 101-110, 2018 | 175 | 2018 |
| A hybrid convolutional and recurrent neural network for hippocampus analysis in Alzheimer's disease F Li, M Liu, Alzheimer's Disease Neuroimaging Initiative Journal of neuroscience methods 323, 108-118, 2019 | 137 | 2019 |
| Human physical activity recognition based on computer vision with deep learning model L Mo, F Li, Y Zhu, A Huang 2016 IEEE international instrumentation and measurement technology …, 2016 | 93 | 2016 |
| Alzheimer's disease classification based on combination of multi-model convolutional networks F Li, D Cheng, M Liu 2017 IEEE international conference on imaging systems and techniques (IST), 1-5, 2017 | 81 | 2017 |
| Hippocampal shape and asymmetry analysis by cascaded convolutional neural networks for Alzheimer’s disease diagnosis A Li, F Li, F Elahifasaee, M Liu, L Zhang, ... Brain Imaging and Behavior, 1-10, 2021 | 33 | 2021 |
