📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Machine learning-based analysis of operator pupillary response to assess cognitive workload in clinical ultrasound imaging. (2021)

First Author: Sharma H

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.compbiomed.2021.104589

PubMed Identifier: 34198044

Publication URI: http://europepmc.org/abstract/MED/34198044

Type: Journal Article/Review

Volume: 135

Parent Publication: Computers in biology and medicine

ISSN: 0010-4825