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: | Carol Hargreaves |
| Institution: | National University of Singapore |
| Department: | Statistics and Data Science |
| Country: | |
| Proposed Analysis: | To classify images as 'Normal' or 'Cognitive Impairment' and 'Normal' or 'Alzheimer's Disease' using Deep Learning Techniques such as Deep Convolutional Neural Networks, Variational Autoencoders and Autoencoders. Before classification of the images, pre-processing will be performed. After the classifier is built, hyperparameter tuning will be performed to optimize the model. Evaluation of the performance of the models built will be compared using the sensitivity, specificity, precision, accuracy, F1 score, AUC. Further, visualizations will be performed using histograms, t-SNE representations of the two classes. |
| Additional Investigators | |
| Investigator's Name: | Tianming Zhu |
| Proposed Analysis: | Prediction of Cognitive Impairment using Deep Autoencoder - Based Feature Representation. |
| Investigator's Name: | Yoanna Arlina Kurnianingsih |
| Proposed Analysis: | Prediction of Cognitive Impairment using Deep Autoencoder - Based Feature Representation. |
