Name
Title | ||
|---|---|---|
GAN-Based Synthetic FDG PET Images from T1 Brain MRI Can Serve to Improve Performance of Deep Unsupervised Anomaly Detection Models. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/978-3-030-87592-3_14 | SASHIMI@MICCAI |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daria Zotova | 1 | 0 | 0.68 |
| Julien Jung | 2 | 0 | 0.34 |
| C Lartizien | 3 | 83 | 12.48 |