"A novel Bayesian respiratory motion model to estimate and resolve ..."

Devis Peressutti et al. (2013)

> Home

Details and statistics

DOI: 10.1016/J.MEDIA.2013.01.007

access: closed

type: Journal Article

metadata version: 2020-10-26

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/mia/PeressuttiPHKGRBRK13
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/mia/PeressuttiPHKGRBRK13
Devis Peressutti, Graeme P. Penney, Richard James Housden, Christoph Kolbitsch, Alberto Gómez, Erik-Jan Rijkhorst, Dean C. Barratt, Kawal S. Rhode, Andrew P. King:
A novel Bayesian respiratory motion model to estimate and resolve uncertainty in image-guided cardiac interventions. Medical Image Anal. 17(4): 488-502 (2013)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.