A Multi-Resolution t-Mixture Model Approach to Robust Group-wise Alignment of Shapes

Ravikumar, N., Gooya, A., Cimen, S. et al. (2 more authors) (2016) A Multi-Resolution t-Mixture Model Approach to Robust Group-wise Alignment of Shapes. In: Lecture Notes in Computer Science. Medical Image Computing and Computer Assisted Interventions (MICCAI), 17-21 October 2016, Athens, Greece. Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016 . , pp. 142-149. ISBN 978-3-319-46725-2

Abstract

Metadata

Authors/Creators:
  • Ravikumar, N.
  • Gooya, A.
  • Cimen, S.
  • Frangi, A.
  • Taylor, Z.
Copyright, Publisher and Additional Information: © 2016 Springer Verlag. This is an author produced version of a paper subsequently published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy.
Dates:
  • Published: 2 October 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield)
The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
Funding Information:
FunderGrant number
EUROPEAN COMMISSION - FP6/FP7VPH DARE - 601055
Depositing User: Symplectic Sheffield
Date Deposited: 30 Nov 2016 15:43
Last Modified: 23 Mar 2018 15:58
Published Version: http://doi.org/10.1007/978-3-319-46726-9_17
Status: Published
Series Name: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016
Refereed: Yes
Identification Number: https://doi.org/10.1007/978-3-319-46726-9_17

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