Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Predictive models of tumour response to treatment using functional imaging techniques
Stockholm University, Faculty of Science, Department of Physics. Karolinska Institutet, Sweden.ORCID iD: 0000-0002-7101-240X
Linköping University, Sweden.ORCID iD: 0000-0001-8171-2541
2015 (English)In: Computational & Mathematical Methods in Medicine, ISSN 1748-670X, E-ISSN 1748-6718, 571351Article in journal, Editorial material (Refereed) Published
Place, publisher, year, edition, pages
2015. 571351
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:su:diva-110462DOI: 10.1155/2015/571351OAI: oai:DiVA.org:su-110462DiVA: diva2:771526
Note

Redaktörsförord till temanummer av tidskriften

Available from: 2014-12-14 Created: 2014-12-14 Last updated: 2017-12-05Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textOpen Access PDF (1186kB)

Search in DiVA

By author/editor
Marcu, Loredana G.Bezak, EvaToma-Dasu, IulianaDasu, Alexandru
By organisation
Department of Physics
In the same journal
Computational & Mathematical Methods in Medicine
Cancer and Oncology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 59 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf