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: | HyeRyeong Nam |
Institution: | National Institute of Health in Korea |
Department: | Division of Healthcare and Artificial Intelligence |
Country: | |
Proposed Analysis: | ○ Brain Imaging (MRI, Amyloid PET) data collection ○ Refining brain imaging (MRI, amyloid PET) data, establishing and upgrading a pre-processing pipeline ○ Performing brain imaging (MRI, amyloid PET) data labeling and establishing a database for research ○ Development of brain disease diagnosis, prognosis, and prediction models using brain imaging data |
Additional Investigators | |
Investigator's Name: | Sang Cheol Kim |
Proposed Analysis: | ○ Brain Imaging (MRI, Amyloid PET) data collection ○ Refining brain imaging (MRI, amyloid PET) data, establishing and upgrading a pre-processing pipeline ○ Performing brain imaging (MRI, amyloid PET) data labeling and establishing a database for research ○ Development of brain disease diagnosis, prognosis, and prediction models using brain imaging data |
Investigator's Name: | Sang Cheol Kim |
Proposed Analysis: | ○ Brain Imaging (MRI, Amyloid PET) data collection ○ Refining brain imaging (MRI, amyloid PET) data, establishing and upgrading a pre-processing pipeline ○ Performing brain imaging (MRI, amyloid PET) data labeling and establishing a database for research ○ Development of brain disease diagnosis, prognosis, and prediction models using brain imaging data |
Investigator's Name: | Myeong Ji Cho |
Proposed Analysis: | ○ Brain Imaging (MRI, Amyloid PET) data collection ○ Refining brain imaging (MRI, amyloid PET) data, establishing and upgrading a pre-processing pipeline ○ Performing brain imaging (MRI, amyloid PET) data labeling and establishing a database for research ○ Development of brain disease diagnosis, prognosis, and prediction models using brain imaging data |