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Andrew Dienstfrey (Fed)

Publications

Database of Diffusion MRI Brain Scans at 64 mT and 3 T

Author(s)
Andrew Dienstfrey, Zydrunas Gimbutas, Joe Chalfoun, Adele Peskin, Kalina Jordanova, Kathryn Keenan, Stephen Ogier
Low-field magnetic resonance imaging offers the promise to significantly increase access to in vivo soft tissue imaging. The technology is both portable and low...
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Data and Software Publications

Database of Diffusion MRI Brain Scans at 64 mT and 3 T

Author(s)
Andrew Dienstfrey, Zydrunas Gimbutas, Joe Chalfoun, Adele Peskin, Kalina V. Jordanova, Kathryn E. Keenan, Stephen E. Ogier
Twenty healthy volunteers gave informed consent to participate in this study, which was approved by the Advarra Institutional Review Board on behalf of NIST. Brain scans were conducted for each

Patents (2018-Present)

The figure illustrates a system for parameter multiplexed gradient descent in accordance with embodiments of the present invention.

System And Method For Parameter Multiplexed Gradient Descent

NIST Inventors
Adam McCaughan , Sonia Buckley and Andrew Dienstfrey
Parameter multiplexed gradient descent (PMGD) is a machine learning training method designed to easily train emergent non-volatile memory and neuromorphic hardware platforms.
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Created May 31, 2018, Updated December 8, 2022
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