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: | Maryam Zokaeinikoo |
| Institution: | Pennsylvania State University |
| Department: | Engineering |
| Country: | |
| Proposed Analysis: | Developing interpretable prediction models can build trust especially in the healthcare domain. In recent years, deep learning models have performed promisingly in various applications including computer vision, audio processing, and natural language processing. However, deep learning models are black-box models, which make their application difficult in healthcare due to a lack of interpretability. In this study, we plan to develop an interpretable hierarchical deep neural network for patients' MRI screening to detect the onset of Alzheimer's disease. In addition, we aim to develop an interpretable model that can tell clinicians which part of the brain gets gradually affected by Alzheimer's progression. This MRI dataset can help us dramatically to perform this valuable research. We really appreciate your help. Best Regards |
| Additional Investigators | |
| Investigator's Name: | Prasenjit Mitra |
| Proposed Analysis: | In this study, we plan to use ADNI dataset to detect the onset of Alzheimer's disease by using deep neural networks. Our model is going to be trained on MRI data to learn the memory loss pattern. We also aim to develop an interpretable model that can inform clinicians why the patient may have Alzheimer's and how the disease is going to progress by the course of time. ADNI dataset play an important roll in this study. We really appreciate your consideration. Thanks |
