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02661nam a2200517 4500 |
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20191022161521.0 |
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180120s2018 gw | s |||| 0|eng d |
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|a 9783319563275
|9 978-3-319-56327-5
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|a 10.1007/978-3-319-56327-5
|2 doi
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|a 610.28
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|a Alimohammadi, Mona.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Aortic Dissection: Simulation Tools for Disease Management and Understanding
|h [electronic resource] /
|c by Mona Alimohammadi.
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|a 1st ed. 2018.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2018.
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|a XXIX, 179 p. 92 illus., 85 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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|a This thesis addresses computation fluid dynamics modelling of aortic dissection (AD), in order to generate in silico diagnostic information and assess 'virtual surgery' outcomes. The thesis introduces several important advances in the modelling of aortic dissection and lays essential groundwork for further development of this technology. The work thesis represents a unique and major step forward in our understanding of AD using a patient-specific, systematic and coherent simulation approach, and is currently the most advanced work available on AD. .
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|a Biomedical engineering.
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|a Fluid mechanics.
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|a Cardiac surgery.
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|a Biomedical Engineering and Bioengineering.
|0 http://scigraph.springernature.com/things/product-market-codes/T2700X
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|a Engineering Fluid Dynamics.
|0 http://scigraph.springernature.com/things/product-market-codes/T15044
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|a Cardiac Surgery.
|0 http://scigraph.springernature.com/things/product-market-codes/H59028
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319563268
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|i Printed edition:
|z 9783319563282
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|i Printed edition:
|z 9783319858869
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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|u https://doi.org/10.1007/978-3-319-56327-5
|z Full Text via HEAL-Link
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|a ZDB-2-ENG
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|a Engineering (Springer-11647)
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