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: | tomomi daigo |
Institution: | Nara Institute of Science and Technology |
Department: | Information Science |
Country: | |
Proposed Analysis: | Image recognition by deep learning technology enabled machines to diagnose human diseases. The technology requires large amount of training data to get accurate result, though medical image data have a problem of shortage of its supply. Generative Adversarial Networks(GANs) can synthesize new image data which similar to the training data from random noise. This can be a solution to the data shortage problem. We want to check the ability of synthesis and the training process of previously proposed work of Kwon et al. [1] using brain MR images of ADNI Data, and planning to improve the algorithm further. [1] Gihyun Kwon, Chihye Han, Dae-shik Kim, "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks", MICCAI 2019. |
Additional Investigators |