| 000 | 01995nam a22003375i 4500 | ||
|---|---|---|---|
| 001 | 102413 | ||
| 003 | DE-He213 | ||
| 005 | 20230102113040.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 180120s2018 gw | s |||| 0|eng d | ||
| 020 | _a9783319563275 | ||
| 024 | 7 |
_a10.1007/978-3-319-56327-5 _2doi |
|
| 040 | _aES-MaUEC | ||
| 050 | 4 | _aR856.A6 2018 EB | |
| 100 | 1 |
_aAlimohammadi, Mona _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 245 | 1 | 0 |
_aAortic Dissection: Simulation Tools for Disease Management and Understanding _cby Mona Alimohammadi. |
| 264 | 1 |
_aCham _bSpringer International Publishing _c2018 |
|
| 300 | _a1 recurso en línea (XXIX, 179 páginas 92 ilustraciones, 85 ilustraciones a color) | ||
| 347 |
_atext file _bPDF |
||
| 490 | 0 |
_aSpringer Theses, Recognizing Outstanding Ph.D. Research _x2190-5053 |
|
| 520 | 3 | _aThis 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. . | |
| 650 | 7 |
_aIngeniería biomédica _9143820 _2embne |
|
| 650 | 7 |
_aIngeniería hidráulica _2embne _9138022 |
|
| 776 | 0 | 8 |
_iEdición impresa: _z9783319563268 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319563282 |
| 776 | 0 | 8 |
_iEdición impresa: _z9783319858869 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-56327-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 490 | 0 | _aEngineering (Springer-11647) | |
| 988 | _aEBSPRINGER_2018 | ||
| 998 |
_b01/2019 _dz _ek _feng _ggw _h0 |
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| 999 |
_c102413 _d102413 _x1 |
||