Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces
Classical deformable registration techniques achieve impressive results and offer a rigorous theoretical treatment, but are computationally intensive since they solve an optimization problem for each image pair. Recently, learning-based methods have facilitated fast registration by learning spatial...
| Main Authors: | , , |
|---|---|
| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Elsevier BV,
2021-01-22T15:28:31Z.
|
| Subjects: | |
| Online Access: | Get fulltext |