Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans
2. Februar 2021 - 12:28 | 
| Titel | Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans |
| Publication Type | Journal Article |
| Year of Publication | 2019 |
| Authors | Hering A., Kuckertz S., Heldmann S., Heinrich M.P. |
| Journal | International Journal of Computer Assisted Radiology and Surgery |
| Volume | 14 |
| Issue | 11 |
| Pages | 1901 - 1912 |
| Date Published | 11/2019 |
| URL | https://link.springer.com/article/10.1007%2Fs11548-019-02068-z |
| DOI | 10.1007/s11548-019-02068-z |
| PubMed Link | |
| Short Title | Int J CARS |
Erstellt am 2. Februar 2021 - 12:28 von Kulbe.
English
DeutschMedizinische Informatik
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Susanne Petersen
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Susanne Petersen
Tel+49 451 3101 5601
Fax+49 451 3101 5604
Gebäude 64 (Informatik)
Ratzeburger Allee 160
23538 Lübeck
Deutschland