Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Learning a single step of streamline tractography based on neural networks
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Medical Imaging.ORCID iD: 0000-0002-6827-9162
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Medical Imaging.ORCID iD: 0000-0002-7750-1917
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Biomedical Engineering and Health Systems, Medical Imaging.ORCID iD: 0000-0001-5765-2964
2018 (English)In: Computational Diffusion MRI, Springer, Cham , 2018, p. 103-116Chapter in book (Other academic)
Place, publisher, year, edition, pages
Springer, Cham , 2018. p. 103-116
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:kth:diva-259767OAI: oai:DiVA.org:kth-259767DiVA, id: diva2:1353461
Note

QC 201909223

Available from: 2019-09-23 Created: 2019-09-23 Last updated: 2019-09-23Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records BETA

Jörgens, DanielSmedby, ÖrjanMoreno, Rodrigo

Search in DiVA

By author/editor
Jörgens, DanielSmedby, ÖrjanMoreno, Rodrigo
By organisation
Medical Imaging
Medical Image Processing

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 6 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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