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: | Audrey Lovina Yudiono |
| Institution: | Sepuluh Nopember Institute of Technology |
| Department: | Biomedical Engineering |
| Country: | |
| Proposed Analysis: | My research proposal is focusing on classifying Alzheimer disease by using deep learning model from another journal. The deep learning model is capable of studying long-term dependencies that can be used to help clacify Alzheimer's disease. The deep learning model used is Time-Distributed-CNN-LSTM (TD-CNN-LSTM) which combines CNN and LSTM and is wrapped in a TimeDistributed layer for multi-class classification processes on 3D MRI images. The used of LSTM and TimeDistributed layer make both MRI sequence data input (3D T1 and 3D FLAIR) can be used as a single input. The use of this model is expected to improve accuracy in classifying AD. Because I'm using LSTM in the process, I need the MRI sequence data (3D T1 and 3D FLAIR) which is being provided by ADNI. So, I really appreciate if my application is being accepted. Thank you! |
| Additional Investigators |
