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: | Egils Avots |
| Institution: | University of Tartu |
| Department: | Institute of Technology |
| Country: | |
| Proposed Analysis: | Hello, As part of my PhD thesis 'Brain Abnormality Detection Using Statistical Analysis of Individual Structural Connectivity Networks and EEG Signals', I want to use ADNI dataset for developing machine learning methods for detecting brain anomalies. My institute does not have funding, nor resources to gather MRI data, hence I kindly ask access to ANDI dataset. When publishing the results, all credit and acknowledgments for obtained data, goes to the initiative as requested by the user agreement. The brain anomaly classification approach will show the use of image features and classical machine learning as a baseline and use of neural networks to reach state-of-the-art level of performance. Best regards Egils Avots iCV Research Lab University of Tartu |
| Additional Investigators | |
| Investigator's Name: | Gholamreza Anbarjafari |
| Proposed Analysis: | Prof G. Anbarjafari (Shahab) is my PhD thesis supervisor and leading expert in affective computing in Europe. |
| Investigator's Name: | Maie Bachmann |
| Proposed Analysis: | Maie Bachmann is my PhD co-supervisor, she is an expert in brain anomaly detection and analysis using various modalities. |
