The selection is based only on anatomical features of the heart extracted from a static image. The features used are learnt using a neighbourhood approximation ...
The selection is based only on anatomical features of the heart extracted from a static image. The features used are learnt using a neighbourhood approximation ...
Abstract. Respiratory motion models have been proposed to compensate for respiratory motion of the heart in image acquisition and image-guided.
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Personalising population-based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features. D. Peressutti ...
The selection is based on anatomical features and therefore exploits inter-subject variability in motion to improve the accuracy of the resulting model. We ...
A novel personalisation method is proposed for cross-population respiratory motion models that selects a subset of the population sample that is more likely ...
Personalising population-based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features · D. PeressuttiG ...
Publication: Personalising population-based respiratory motion ...
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Personalising population-based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features.
... Personalising population- based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features. Med Image Anal ...
... population-based respiratory motion models of the heart using neighbourhood approximation based on learnt anatomical features. Opens external link in new window ...