Name
Abstract | ||
|---|---|---|
Multi-modal magnetic resonance imaging (MRI) plays a critical role in clinical diagnosis and treatment nowadays. Each modality of MRI presents its own specific anatomical features which serve as complementary information to other modalities and can provide rich diagnostic information. However, due to the limitations of time consuming and expensive cost, some image sequences of patients may be lost... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JBHI.2021.3088866 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Magnetic resonance imaging,Logic gates,Generative adversarial networks,Feature extraction,Generators,Image synthesis,Convolution | Journal | 26 |
Issue | ISSN | Citations |
1 | 2168-2194 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |