Name
Abstract | ||
|---|---|---|
•Unsupervised Deep Learning Image Registration (DLIR) is feasible for affine and deformable image registration.•The method is unsupervised; no registration examples are necessary to train a ConvNet for image registration.•Once a ConvNet is trained, image registration can be performed on unseen images in one-shot.•Registration, including image resampling, is near real-time.•Unsupervised DLIR yields image registration performance similar to a conventional approach. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.media.2018.11.010 | Medical Image Analysis |
Keywords | DocType | Volume |
Deep learning,Unsupervised learning,Affine image registration,Deformable image registration,Cardiac cine MRI,Chest CT | Journal | 52 |
ISSN | Citations | PageRank |
1361-8415 | 39 | 0.90 |
References | Authors | |
23 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bob D. de Vos | 1 | 124 | 9.33 |
| Floris F. Berendsen | 2 | 85 | 3.82 |
| M.A. Viergever | 3 | 227 | 20.34 |
| Hessam Sokooti | 4 | 61 | 3.74 |
| Marius Staring | 5 | 971 | 59.25 |
| Ivana Isgum | 6 | 766 | 50.08 |