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


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.

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Description/Abstract

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

Item Type: Conference or Workshop Item (Paper)
Venue - Dates: Engineers and Surgeons: Joined at the Hip III, United Kingdom, 2011-11-01 - 2011-11-03
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Organisations: Bioengineering Group
ePrint ID: 202765
Date :
Date Event
November 2011Published
Date Deposited: 09 Nov 2011 14:53
Last Modified: 18 Apr 2017 01:19
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/202765

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