Deformable image registration by combining uncertainty estimates from supervoxel belief propagation
- Submitting institution
-
University of Oxford
- Unit of assessment
- 12 - Engineering
- Output identifier
- 15448
- Type
- D - Journal article
- DOI
-
10.1016/j.media.2015.09.005
- Title of journal
- Medical Image Analysis
- Article number
- C
- First page
- 57
- Volume
- 27
- Issue
- -
- ISSN
- 1361-8415
- Open access status
- Out of scope for open access requirements
- Month of publication
- October
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work described in this paper was first presented at Medical Image Computing and Computed Assisted Intervention conference (the premiere international conference), and its extended version was submitted as a journal publication. This work was one of the first works in medical imaging exploring so called “supervoxel” representation of medical volumes in order to represent the complex nature of 3D deformations in human body. Due to its superior accuracy and time run (compared to the state-of-the-art methods), this method has been extensively used in many medical imaging applications (funded by CRUK&EPSRC, NS/A000024/1)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -