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Computer vision to automatically assess infant neuromotor risk
Claire Chambers, Nidhi Seethapathi, Rachit Saluja, Helen Loeb, Samuel Pierce, Daniel Bogen, Laura Prosser, Michelle J. Johnson, Konrad P. Kording
doi: https://doi.org/10.1101/756262
Claire Chambers
1University of Pennsylvania, Philadelphia, Pennsylvania, USA
Nidhi Seethapathi
1University of Pennsylvania, Philadelphia, Pennsylvania, USA
Rachit Saluja
1University of Pennsylvania, Philadelphia, Pennsylvania, USA
Helen Loeb
2The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
Samuel Pierce
2The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
Daniel Bogen
1University of Pennsylvania, Philadelphia, Pennsylvania, USA
Laura Prosser
1University of Pennsylvania, Philadelphia, Pennsylvania, USA
2The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
Michelle J. Johnson
1University of Pennsylvania, Philadelphia, Pennsylvania, USA
Konrad P. Kording
1University of Pennsylvania, Philadelphia, Pennsylvania, USA
Posted September 10, 2019.
Computer vision to automatically assess infant neuromotor risk
Claire Chambers, Nidhi Seethapathi, Rachit Saluja, Helen Loeb, Samuel Pierce, Daniel Bogen, Laura Prosser, Michelle J. Johnson, Konrad P. Kording
bioRxiv 756262; doi: https://doi.org/10.1101/756262
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