Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/97439
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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Marcu, L.G. | - |
dc.contributor.author | Bezak, E. | - |
dc.contributor.author | Toma-Dasu, I. | - |
dc.contributor.author | Dasu, A. | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | Computational and Mathematical Methods in Medicine, 2015; 2015:571371-1-571371-2 | - |
dc.identifier.issn | 1748-670X | - |
dc.identifier.issn | 1748-6718 | - |
dc.identifier.uri | http://hdl.handle.net/2440/97439 | - |
dc.description | Editorial, abstract not included. | - |
dc.description.statementofresponsibility | Loredana G. Marcu, Eva Bezak, Iuliana Toma-Dasu, and Alexandru Dasu | - |
dc.language.iso | en | - |
dc.publisher | Hindawi Publishing Corporation | - |
dc.rights | Copyright © 2015 Loredana G. Marcu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | - |
dc.source.uri | http://dx.doi.org/10.1155/2015/571351 | - |
dc.subject | Humans | - |
dc.subject | Neoplasms | - |
dc.subject | Diagnostic Imaging | - |
dc.subject | Positron-Emission Tomography | - |
dc.subject | Medical Oncology | - |
dc.subject | Cell Hypoxia | - |
dc.subject | Algorithms | - |
dc.subject | Computer Simulation | - |
dc.title | Predictive models of tumour response to treatment using functional imaging techniques | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1155/2015/571351 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Bezak, E. [0000-0002-1315-1735] | - |
Appears in Collections: | Aurora harvest 3 Physics publications |
Files in This Item:
File | Description | Size | Format | |
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hdl_97439.pdf | Published version | 1.22 MB | Adobe PDF | View/Open |
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