Name
Title | ||
|---|---|---|
Individual refinement of attenuation correction maps for hybrid PET/MR based on multi-resolution regional learning. |
Abstract | ||
|---|---|---|
•Individual refinement of PET/MR attenuation correction.•Multi-resolution regional learning.•Robust with different training and initial setting.•Flexible combination with certified.•Methods or new development. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.compmedimag.2016.11.005 | Computerized Medical Imaging and Graphics |
Keywords | Field | DocType |
PET/MR,Attenuation correction,Multi-resolution,Machine learning | Computer vision,Segmentation,Artificial intelligence,Correction for attenuation,Attenuation,Medicine | Journal |
Volume | ISSN | Citations |
60 | 0895-6111 | 0 |
PageRank | References | Authors |
0.34 | 8 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kuangyu Shi | 1 | 36 | 8.12 |
| Sebastian Fürst | 2 | 78 | 4.77 |
| Liang Sun | 3 | 0 | 0.34 |
| Mathias Lukas | 4 | 11 | 1.80 |
| Nassir Navab | 5 | 6594 | 578.60 |
| Stefan Förster | 6 | 30 | 6.99 |
| Sibylle Ziegler | 7 | 7 | 5.80 |