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: | Kritesh Rauniyar |
Institution: | Delhi Technological University |
Department: | Computer Science and Engineering |
Country: | |
Proposed Analysis: | Me and my team’s goal for the use of the ADNI dataset is to test and develop detection and classification models through the use of existing and custom-built CNN architectures. We wish to compare the performance of different architecture against the ADNI dataset and propose a custom architecture best suited for the ADNI dataset. |
Additional Investigators | |
Investigator's Name: | Shuvam Shiwakoti |
Proposed Analysis: | Me and my team’s goal for the use of the ADNI dataset is to test and develop detection and classification models through the use of existing and custom-built CNN architectures. We wish to compare the performance of different architectures against the ADNI dataset and propose a custom architecture best suited for the ADNI dataset. |
Investigator's Name: | Shuvam Thakur |
Proposed Analysis: | Me and my team’s goal for the use of the ADNI dataset is to test and develop detection and classification models through the use of existing and custom-built CNN architectures. We wish to compare the performance of different architectures against the ADNI dataset and propose a custom architecture best suited for the ADNI dataset. |