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Fast pre-clinical in-silico surrogate methods for statistical shape modelling

Record type: Conference or Workshop Item (Paper)

In both industrial and clinical use, contemporary pre-clinical analysis methods place increasing emphasis on a more ‘holistic’ understanding of performance, accounting for a wider range of factors. This places a heavy time-burden on pre-clinical analysis methods, with wide-ranging stochastic methods, sweep studies or sensitivity analysis methods requiring extended processing time. In tension with this, there is an expectation that, in order to be practically useful, any computational support tool should be responsive, delivering results more quickly or even near-instantaneously for ‘real-time’ clinical use. The broad challenge is to make these models fast, accessible and relevant for end-users in a clinical and/or industrial context

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Citation

Strickland, Michael A. and Taylor, Mark (2011) Fast pre-clinical in-silico surrogate methods for statistical shape modelling At Engineers and Surgeons: Joined at the Hip III, United Kingdom. 01 - 03 Nov 2011. 3 pp.

More information

Published date: November 2011
Venue - Dates: Engineers and Surgeons: Joined at the Hip III, United Kingdom, 2011-11-01 - 2011-11-03
Organisations: Bioengineering Group

Identifiers

Local EPrints ID: 202765
URI: http://eprints.soton.ac.uk/id/eprint/202765
PURE UUID: e375b815-1e6a-4a11-8c95-9f99e8f36c6f

Catalogue record

Date deposited: 09 Nov 2011 14:53
Last modified: 18 Jul 2017 11:10

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Contributors

Author: Michael A. Strickland
Author: Mark Taylor

University divisions


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