Synthesizing Brain Images Using Deep Learning
The performance of image-generation artificial intelligence using deep neural networks has significantly improved. This article presents an overview of the technology driving these advancements and explores its potential applications in brain research. The article also discusses how state-of-the-art generative models can create realistic brain images as data, highlighting their potential for future research.
Authors
- Masahiro Takamura (ORCID: https://orcid.org/0000-0001-9742-152X)
Institutions
- Fujita Health University (JP)
Publication Details
- Journal
- Japanese Journal of Physiological Psychology and Psychophysiology
- Published
- 2024-09-19
- DOI
- https://doi.org/10.5674/jjppp.2410si
- Citations
- 2
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 0.49