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: | Qinghua Zhou |
| Institution: | University of Sydney |
| Department: | School of Mathematics & Statistics |
| Country: | |
| Proposed Analysis: | In 2014, Suk & Shen and Li et al. implemented auto-encoder techniques for recognition of Alzheimer’s disease from mild cognitive impairment. In 2016, Morabito & Ebadi implemented CNN with Scalp EEG recordings. These research shows potential of utilising deep learning architectures, particularly CNN, for AD/MCI diagnosis in place of manual analysis. I propose the analysis of ADNI images, which has significantly more biomarkers than EGG recordings, with CNN architectures for automated detection of Alzheimer’s disease, mild cognitive impairment & its subtypes. |
| Additional Investigators |
