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: | Trương Minh Đạt |
| Institution: | Vietnam National University |
| Department: | Biomedical Engineering |
| Country: | |
| Proposed Analysis: | In order to use fundus images for Alzheimer's disease analysis, a large dataset of fundus images from individuals with and without Alzheimer's disease needs to be collected. The images should be preprocessed to remove noise and enhance relevant features, such as the thickness of the retinal nerve fiber layer and optic nerve head size. Relevant features can then be extracted and a machine learning model, such as a convolutional neural network, can be developed to classify fundus images as belonging to individuals with or without Alzheimer's disease. Model performance should be evaluated using metrics such as accuracy, sensitivity, specificity, and AUC. Interpretation of the model's predictions can be done using techniques such as LIME or SHAP to identify important features for Alzheimer's disease classification. The developed model should be validated on a larger dataset from multiple sources to ensure generalizability. |
| Additional Investigators |
