Your browser doesn't support javascript.
loading
Effect of head motion-induced artefacts on the reliability of deep learning-based whole-brain segmentation.
Kemenczky, Péter; Vakli, Pál; Somogyi, Eszter; Homolya, István; Hermann, Petra; Gál, Viktor; Vidnyánszky, Zoltán.
Affiliation
  • Kemenczky P; Brain Imaging Centre, Research Centre for Natural Sciences, Budapest, 1117, Hungary. kemenczky.peter@ttk.hu.
  • Vakli P; Brain Imaging Centre, Research Centre for Natural Sciences, Budapest, 1117, Hungary. vakli.pal@ttk.hu.
  • Somogyi E; Brain Imaging Centre, Research Centre for Natural Sciences, Budapest, 1117, Hungary.
  • Homolya I; Brain Imaging Centre, Research Centre for Natural Sciences, Budapest, 1117, Hungary.
  • Hermann P; Institute of Nuclear Techniques, Budapest University of Technology and Economics, Budapest, Hungary.
  • Gál V; Brain Imaging Centre, Research Centre for Natural Sciences, Budapest, 1117, Hungary.
  • Vidnyánszky Z; Brain Imaging Centre, Research Centre for Natural Sciences, Budapest, 1117, Hungary.
Sci Rep ; 12(1): 1618, 2022 01 31.
Article in En | MEDLINE | ID: mdl-35102199
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Language: En Journal: Sci Rep Year: 2022 Document type: Article Affiliation country:
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Language: En Journal: Sci Rep Year: 2022 Document type: Article Affiliation country: