This title appears in the Scientific Report :
2022
Please use the identifier:
http://dx.doi.org/10.1126/sciadv.abg9471 in citations.
Please use the identifier: http://hdl.handle.net/2128/30435 in citations.
An uncertainty-aware, shareable, and transparent neural network architecture for brain-age modeling
An uncertainty-aware, shareable, and transparent neural network architecture for brain-age modeling
Saved in:
Personal Name(s): | Hahn, Tim |
---|---|
Ernsting, Jan / Winter, Nils R. / Holstein, Vincent / Leenings, Ramona / Beisemann, Marie / Fisch, Lukas / Sarink, Kelvin / Emden, Daniel / Opel, Nils / Redlich, Ronny / Repple, Jonathan / Grotegerd, Dominik / Meinert, Susanne / Hirsch, Jochen G. / Niendorf, Thoralf / Endemann, Beate / Bamberg, Fabian / Kröncke, Thomas / Bülow, Robin / Völzke, Henry / von Stackelberg, Oyunbileg / Sowade, Ramona Felizitas / Umutlu, Lale / Schmidt, Börge / Caspers, Svenja / Kugel, Harald / Kircher, Tilo / Risse, Benjamin / Gaser, Christian / Cole, James H. / Dannlowski, Udo / Berger, Klaus | |
Contributing Institute: |
Strukturelle und funktionelle Organisation des Gehirns; INM-1 |
Published in: | Science advances, 8 (2022) 1, S. eabg9471 |
Imprint: |
Washington, DC [u.a.]
Assoc.
2022
|
DOI: |
10.1126/sciadv.abg9471 |
Document Type: |
Journal Article |
Research Program: |
Multilevel Brain Organization and Variability |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/30435 in citations.
Description not available. |