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: | Tayo Obafemi-Ajayi |
| Institution: | Missouri State University |
| Department: | Engineering Program |
| Country: | |
| Proposed Analysis: | This project would explore the hypothesis that combining complementary neuroimaging data (multimodal data) and transfer learning to classify Alzheimer's disease (AD) patients would yield better performance than single modality data. An increase in performance would lead to a more accurate diagnosis and prognosis of people living with AD. This work would apply deep learning models on positron emission tomography (PET) images and magnetic resonance imaging (MRI) using transfer learning. The following steps will investigate the hypothesis that multimodal neuroimaging data and transfer learning would yield a superior result. (1) Data curation and augmentation to ensure a balanced dataset. (2) Convolutional neural network for fusing MRI and PET modalities. (3) Evaluate the outcome of the fusion in comparison to single modality classification |
| Additional Investigators | |
| Investigator's Name: | Godwin Ekuma |
| Proposed Analysis: | same as above. He is a student in my lab. |
