Name
Abstract | ||
|---|---|---|
•A residual-based deep 3D CNN architecture for super-resolution.•Comprehensive performance analysis of key elements of neural networks.•Multi-scale training approach to handle arbitrary scale factors.•Multimodal CNN for super-resolution. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.compmedimag.2019.101647 | Computerized Medical Imaging and Graphics |
Keywords | DocType | Volume |
Super-resolution,3D convolutional neural network,Brain MRI | Journal | 77 |
ISSN | Citations | PageRank |
0895-6111 | 5 | 0.47 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chi-Hieu Pham | 1 | 19 | 1.53 |
| Carlos Tor-Díez | 2 | 9 | 1.19 |
| Hélène Meunier | 3 | 8 | 0.85 |
| Nathalie Bednarek | 4 | 10 | 2.22 |
| Ronan Fablet | 5 | 312 | 47.04 |
| Nicolas Passat | 6 | 469 | 46.22 |
| Francois Rousseau | 7 | 121 | 16.81 |