There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | qiuhui chen |
| Institution: | Shanghai Jiao Tong University |
| Department: | Department of Computer Science and Engineering |
| Country: | |
| Proposed Analysis: | The Alzheimer’s Disease Neuroimaging Initiative (ADNI) dataset is typical longitudinal data, on which we want to design a Spatial-Temporal Graph neural networks based approach to model the longitudinal deviation of patients’ brain networks from the healthy ageing trajectory. Whats' more, we want to use transformer architecture instead of RNN-based or CNN-based approaches for temporal sequence prediction, because transformer models completely discard the recurrence and focus on the attention across time steps. This architecture allows long-term dependency modeling and large-batch parallel training. |
| Additional Investigators | |
| Investigator's Name: | yi hong |
| Proposed Analysis: | Alzheimer’s Disease Neuroimaging Initiative (ADNI) is a typical longitudinal data. We want to design a Spatial-Temporal neural networks based approach to model the longitudinal deviation of patients’ brain networks from the healthy ageing trajectory. Whats' more, we want to use transformer architecture instead of RNN-based or CNN-based approaches for temporal sequence prediction, because transformer models completely discard the recurrence and focus on the attention across time steps. This architecture allows long-term dependency modeling and large-batch parallel training. |
