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: | Francesco Lelli |
| Institution: | University of Rome "La Sapienza" |
| Department: | Ingegneria Informatica Automatica e Gestionale |
| Country: | |
| Proposed Analysis: | We are Master students which are trying to reproduce, for accademic reason, the results obtained by the scientific paper: Medical Image Synthesis with Deep Convolutional Adversarial Networks, published in December 2018 on IEEE. The goal of our work is to achieve a good medical image synthesis by estimating a desired imaging modality without incurring in actual scan, since they are not always possible due to ealth and cost reasons. To achieve this aim we will investigate deep learning methods; in particular Adversarial and Residual Learning. |
| Additional Investigators | |
| Investigator's Name: | Chiara Germanò |
| Proposed Analysis: | I'm a Master student at University of Rome "La Sapineza". For academic reason we want to reproduce the results of the scientific paper: Medical Image Synthesis with Deep Convolutional Adversarial Networks, published in December 2018 on IEEE. |
