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: | Anita Saini |
| Institution: | National Institute of Technology Rourkela |
| Department: | Computer Science |
| Country: | |
| Proposed Analysis: | Deep neural networks with massive data learning ability supply a powerful tool for detecting Alzheimer’s Disease. we propose a novel automatic method to accurately predict Alzheimer’s disease from Magnetic Resonance Imaging (MRI) scans, functional MRI (fMRI) and Positron Emission Tomography (PET) images using an ensemble of different convolutional neural networks based on the U-Net architecture. |
| Additional Investigators | |
| Investigator's Name: | Puneet Kumar Jain |
| Proposed Analysis: | Deep neural networks with massive data learning ability supply a powerful tool for detecting Alzheimer’s Disease. we propose a novel automatic method to accurately predict Alzheimer’s disease from Magnetic Resonance Imaging (MRI) scans, functional MRI (fMRI) and Positron Emission Tomography (PET) images using an ensemble of different convolutional neural networks based on the U-Net architecture. |
