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: | HYANG-WOON LEE |
| Institution: | EHWA WOMANS UNIVERSITY |
| Department: | Medicine |
| Country: | |
| Proposed Analysis: | In this study, (1) brain magnetic resonance imaging data were collected using an open magnetic resonance imaging database, (2) brain structural and functional characteristic images were extracted by processing the magnetic resonance image data, and (3) these characteristic images were extracted. This includes constructing a deep learning model for age prediction with input and evaluating its performance. While existing age prediction models mainly used one characteristic of the brain, this study will focus on improving the accuracy of age prediction by developing an artificial intelligence model that can utilize various characteristics of the brain. |
| Additional Investigators | |
| Investigator's Name: | CHANG-HYUN PARK |
| Proposed Analysis: | In this study, (1) brain magnetic resonance imaging data were collected using an open magnetic resonance imaging database, (2) brain structural and functional characteristic images were extracted by processing the magnetic resonance image data, and (3) these characteristic images were extracted. This includes constructing a deep learning model for age prediction with input and evaluating its performance. While existing age prediction models mainly used one characteristic of the brain, this study will focus on improving the accuracy of age prediction by developing an artificial intelligence model that can utilize various characteristics of the brain. |
