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: | Nisarg Upadhyay |
| Institution: | Manipal University |
| Department: | Computer Science |
| Country: | |
| Proposed Analysis: | Alzheimer’s disease (AD) may cause damage to the memory cells permanently, which results in the form of dementia. The diagnosis of Alzheimer’s disease at an early stage is a problematic task for researchers. For this, machine learning and deep convolutional neural network (CNN) based approaches are readily available to solve various problems related to brain image data analysis. In clinical research, magnetic resonance imaging (MRI) is used to diagnose AD. Siamese convolutional neural network (SCNN) model inspired by VGG-16 (also called Oxford Net) to classify Alzheimerstages. In this approach, we extend the insufficient and imbalanced data by using augmentation approaches |
| Additional Investigators |
