This title appears in the Scientific Report :
2022
Please use the identifier:
http://hdl.handle.net/2128/32349 in citations.
Large-scale predictive modelling of confound-prone motor targets with neuroimaging features from UKB
Large-scale predictive modelling of confound-prone motor targets with neuroimaging features from UKB
Saved in:
Personal Name(s): | Komeyer, Vera (Corresponding author) |
---|---|
Raimondo, Federico / Grefkes, Christian / Eickhoff, Simon / Patil, Kaustubh | |
Contributing Institute: |
Gehirn & Verhalten; INM-7 |
Imprint: |
2022
|
Conference: | INM & IBI Retreat 2022 "Molecular neuroscience meets brain function", Jülich (Germany), 2022-10-18 - 2022-10-19 |
Document Type: |
Poster |
Research Program: |
Neuroscientific Data Analytics and AI Neuroimaging |
Link: |
OpenAccess |
Publikationsportal JuSER |
Description not available. |