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: | Lin Guo |
| Institution: | Shenzhen Zhiying Medical Imaging |
| Department: | Medical Department |
| Country: | |
| Proposed Analysis: | To develop a multi-modality (MRI, PET, Clinical and cognitive data) deep learning model for predicting MCI patients to AD. The curriculum learning method is involved in this study and a self-rating curriculum learning (SRCL) method for the task of localization and segmentation of imaging data is proposed. For our SRCL training schedule, we train our network on progressively harder images in three stages:Stage 1: easy set only.Stage 2: easy set + moderate set.Stage 3: easy set + moderate set + hard set. |
| Additional Investigators | |
| Investigator's Name: | Lingjun Qian |
| Proposed Analysis: | Qian will be responsible for the image pre-processing and image post-processing during the development of deep learning model procedures. |
| Investigator's Name: | Hengyuan Miao |
| Proposed Analysis: | As a current PhD student in Tsinghua University, Miao Hengyuan will be responsible for data analysis, statistical analysis, and NLP development. |
| Investigator's Name: | Kunlei Hong Hong |
| Proposed Analysis: | Hong Kunlei will be responsible for deep learning network training, validating, and testing, by using multi-modality imaging data. |
| Investigator's Name: | Shenwen Quan |
| Proposed Analysis: | Quan Shenwen will be responsible for the feature subtration by using machince learning method, and the feature fusion of machine learning and deep learning methods. |
