Name
Title | ||
|---|---|---|
Progressively volumetrized deep generative models for data-efficient contextual learning of MR image recovery |
Abstract | ||
|---|---|---|
•A novel progressively volumetrization strategy for deep generative models in medical image processing.•Serial decomposition of complex volumetric mappings into task-optimally ordered cross-sectional mappings.•Preservation of context and structural details with low model complexity and improved learning behavior.•State-of-the-art performance in MRI reconstruction and synthesis tasks. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.media.2022.102429 | Medical Image Analysis |
Keywords | DocType | Volume |
MRI,Generative adversarial networks,Synthesis,Reconstruction,Cross-section,Model complexity,Context | Journal | 78 |
ISSN | Citations | PageRank |
1361-8415 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mahmut Yurt | 1 | 0 | 0.68 |
| Muzaffer Özbey | 2 | 0 | 0.68 |
| Salman Ul Hassan Dar | 3 | 0 | 0.34 |
| Berk Tınaz | 4 | 0 | 0.34 |
| Kader Karli Oguz | 5 | 2 | 0.71 |
| Tolga Çukur | 6 | 36 | 8.84 |