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: | Rao Song |
| Institution: | The Second Affiliated Hospital of Chongqing Medical University |
| Department: | Radiology |
| Country: | |
| Proposed Analysis: | To investigate whether a combination of radiomics and automatic machine learning in MRI Images could predict Alzheimer's disease from Mild Mognitive Impairmrnt and Significant Memory Concern.Radiomics could extract a huge number of high-throughput quantitative features from original MR images and offer more information that is far beyond the scope of visual analysis.Proper feature dimensionality reduction and machine approaches could help get the optimal features and achieve an efficient classification model. They are very valuable to help the early diagnosis and differential diagnosis of brain diseases. |
| Additional Investigators | |
| Investigator's Name: | Hang Zhou |
| Proposed Analysis: | To investigate whether a combination of radiomics and automatic machine learning in MR Images could predict Alzheimers disease from Mild Cognitive Impairment and Significant Memory Concern Conventional MRI techniques cannot reveal subtle changes in the brain structure. Radiomics could extract a large number of high-throughput quantitative features from original MR images and offer additional information that is far beyond the scope of visual analysis. Proper feature dimensionality reduction and machine learning approaches could help get the optimal features and achieve an efficient classification model. They are very valuable to help the early diagnosis and differential diagnosis of brain diseases. |
