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A generative modeling approach for interpreting population-level variability in brain structure
Ran Liu, Cem Subakan, Aishwarya H. Balwani, Jennifer Whitesell, Julie Harris, Sanmi Koyejo, Eva Dyer
doi: https://doi.org/10.1101/2020.06.04.134635
Ran Liu
1School of Electrical & Computer Engineering, Georgia Institute of Technology
Cem Subakan
2Montreal Institute for Learning Algorithms, University of Montreal
Aishwarya H. Balwani
1School of Electrical & Computer Engineering, Georgia Institute of Technology
Jennifer Whitesell
3Neuroanatomy Division, Allen Institute for Brain Science
Julie Harris
3Neuroanatomy Division, Allen Institute for Brain Science
Sanmi Koyejo
4Computer Science, University of Illinois at Urbana Champaign
Eva Dyer
1School of Electrical & Computer Engineering, Georgia Institute of Technology
5Department of Biomedical Engineering, Georgia Institute of Technology
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Posted June 05, 2020.
A generative modeling approach for interpreting population-level variability in brain structure
Ran Liu, Cem Subakan, Aishwarya H. Balwani, Jennifer Whitesell, Julie Harris, Sanmi Koyejo, Eva Dyer
bioRxiv 2020.06.04.134635; doi: https://doi.org/10.1101/2020.06.04.134635
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