An uncertainty-aware, shareable, and transparent neural network architecture for brain-age modeling
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
5 January 2022
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| In: |
Science advances
Year: 2022, Volume: 8, Issue: 1 |
| ISSN: | 2375-2548 |
| DOI: | 10.1126/sciadv.abg9471 |
| Online Access: | Resolving-System, kostenfrei: https://doi.org/10.1126/sciadv.abg9471 Resolving-System, kostenfrei: https://doi.org/10.25673/85771 |
| Author Notes: | Tim Hahn, Jan Ernsting, Nils R. Winter, Vincent Holstein, Ramona Leenings, Marie Beisemann, Lukas Fisch, Kelvin Sarink, Daniel Emden, Nils Opel, Ronny Redlich, Jonathan Repple, Dominik Grotegerd, Susanne Meinert, Jochen G. Hirsch, Thoralf Niendorf, Beate Endemann, Fabian Bamberg, Thomas Kröncke, Robin Bülow, Henry Völzke, Oyunbileg von Stackelberg, Ramona Felizitas Sowade, Lale Umutlu, Börge Schmidt, Svenja Caspers, Harald Kugel, Tilo Kircher, Benjamin Risse, Christian Gaser, James H. Cole, Udo Dannlowski, Klaus Berger |
| Item Description: | Gesehen am 28.09.2022 |
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| Physical Description: | Online Resource |
| ISSN: | 2375-2548 |
| DOI: | 10.1126/sciadv.abg9471 |