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Active Investigations

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: Sriharsha Devarapu
Institution: University of Wisconsin Madison
Department: Biostatistics and Medical Informatics
Country:
Proposed Analysis: I'm currently pursuing masters in the biomedical data science program. As part of the computer vision course, I will be doing a project (which accounts for ~50% grade) on analyzing brain images using deep learning. The project's primary goal is to use CNNs with ensemble learning to assess structural brain changes on MRIs for early detection of Alzheimer’s Disease (AD) and Mild Cognitive Impairment (MCI). We plan to identify subjects as one of these four classes: (1) healthy cognition (HC), (2) MCI patients who will convert to AD (MCIc), (3) MCI patients who will not convert to AD (MCInc) or (4) Alzheimer’s disease (AD). To train & test our model, we will be using Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Also, we would like to compare our model's results with the previously reported results from similar models which used the same dataset.
Additional Investigators  
Investigator's Name: Tapanmitra Ravi
Proposed Analysis: I'm currently pursuing masters in the biomedical data science program. As part of the computer vision course, I will be doing a project (with the primary investigator) (which accounts for ~50% grade) on analyzing brain images using deep learning. The project's primary goal is to use CNNs with ensemble learning to assess structural brain changes on MRIs for early detection of Alzheimer’s Disease (AD) and Mild Cognitive Impairment (MCI). We plan to identify subjects as one of these four classes: (1) healthy cognition (HC), (2) MCI patients who will convert to AD (MCIc), (3) MCI patients who will not convert to AD (MCInc) or (4) Alzheimer’s disease (AD). To train & test our model, we will be using Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. Also, we would like to compare our model's results with the previously reported results from similar models which used the same dataset.