43 lines
No EOL
1.4 KiB
Markdown
43 lines
No EOL
1.4 KiB
Markdown
---
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title: A reproducible and generalizable software workflow for analysis of large-scale neuroimaging
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data collections using BIDS Apps
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persons:
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- orcid:0000-0003-3456-2493
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- simon-eickhoff
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- michael-hanke
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topics:
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- research-software-engineering
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- neuroimaging
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- research-data-management
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- distributed-systems
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- high-throughput-computing
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params:
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graphRootNodePID: xyzrins:publications/a2c0e912-ae8e-48b4-aac5-d023afb4a048
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pid: xyzrins:publications/a2c0e912-ae8e-48b4-aac5-d023afb4a048
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doi: 10.1162/imag_a_00074
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date: 2024-01
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title: A reproducible and generalizable software workflow for analysis of large-scale
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neuroimaging data collections using BIDS Apps
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kind: bibo:AcademicArticle
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author:
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- pid: orcid:0000-0003-3456-2493
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given_name: Yaroslav
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family_name: Halchenko
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- pid: xyzrins:persons/simon-eickhoff
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given_name: Simon
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family_name: Eickhoff
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- pid: xyzrins:persons/michael-hanke
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given_name: Michael
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family_name: Hanke
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topic:
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- pid: xyzrins:topics/research-software-engineering
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display_label: Research software engineering (RSE)
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- pid: xyzrins:topics/neuroimaging
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display_label: Neuroimaging
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- pid: xyzrins:topics/research-data-management
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display_label: Research data management (RDM)
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- pid: xyzrins:topics/distributed-systems
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display_label: Distributed systems
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- pid: xyzrins:topics/high-throughput-computing
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display_label: High-throughput computing
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--- |