Name
Title | ||
|---|---|---|
Effective deep learning training for single-image super-resolution in endomicroscopy exploiting video-registration-based reconstruction. |
Abstract | ||
|---|---|---|
The proposed training strategy and associated DNNs allows us to perform convincing super-resolution of pCLE images. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s11548-018-1764-0 | Int. J. Computer Assisted Radiology and Surgery |
Keywords | DocType | Volume |
Example-based super-resolution,Deep learning,Probe-based confocal laser endomicroscopy,Mosaicking | Journal | abs/1803.08840 |
Issue | ISSN | Citations |
6 | 1861-6410 | 1 |
PageRank | References | Authors |
0.37 | 13 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniele Ravì | 1 | 232 | 12.31 |
| Agnieszka Barbara Szczotka | 2 | 4 | 0.81 |
| Dzhoshkun I. Shakir | 3 | 47 | 7.63 |
| Stephen P. Pereira | 4 | 49 | 4.90 |
| Tom Vercauteren | 5 | 1956 | 108.68 |