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: | Nicolas Perez de la Blanca |
Institution: | University of Granada |
Department: | Computer Science and AI |
Country: | |
Proposed Analysis: | To explore non supervised feature extraction techniques based on variational autoencoders, as a robust alternative to current CNN approaches in dementia MRI classification |
Additional Investigators | |
Investigator's Name: | Santiago Lopez-Tapia |
Proposed Analysis: | To explore non supervised feature extraction techniques based on variational autoencoders, as a more robust alternative to current CNN approaches in dementia MRI classification |
Investigator's Name: | Rafael Molina |
Proposed Analysis: | To explore non supervised feature extraction techniques based on variational autoencoders, as a more robust alternative to current CNN approaches in dementia MRI classification |