kth.sePublications
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
Interactive Deep Learning-Based Delineation of Gross Tumor Volume for Postoperative Glioma Patients
KTH. RaySearch Labs, Stockholm, Sweden..
RaySearch Labs, Stockholm, Sweden..
Massachusetts Gen Hosp, Boston, MA 02114 USA..
Massachusetts Gen Hosp, Boston, MA 02114 USA..
Show others and affiliations
2019 (English)In: Medical physics (Lancaster), ISSN 0094-2405, Vol. 46, no 6, p. E426-E427Article in journal, Meeting abstract (Other academic) Published
Place, publisher, year, edition, pages
WILEY , 2019. Vol. 46, no 6, p. E426-E427
National Category
Other Physics Topics
Identifiers
URN: urn:nbn:se:kth:diva-255208ISI: 000471277703114OAI: oai:DiVA.org:kth-255208DiVA, id: diva2:1348321
Conference
Annual Meeting of the American-Association-of-Physicists-in-Medicine (AAPM), JUL 14-18, 2019, San Antonio, TX
Note

QC 20190904

Available from: 2019-09-04 Created: 2019-09-04 Last updated: 2022-06-26Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records

Hult, HenrikMaki, Atsuto

Search in DiVA

By author/editor
Nordström, MarcusHult, HenrikMaki, Atsuto
By organisation
KTHMathematical StatisticsRobotics, Perception and Learning, RPL
In the same journal
Medical physics (Lancaster)
Other Physics Topics

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 342 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