Back to search

Article

Estimation of in-scanner head pose changes during structural MRI using a convolutional neural network trained on eye tracker video

2021-03-05

Abstract excerpt

<h4>Introduction</h4> In-scanner head motion is a common cause of reduced image quality in neuroimaging, and causes systematic brain-wide changes in cortical thickness and volumetric estimates derived from structural MRI scans. There are few widely available methods for measuring head motion during structural MRI. Here, we train a deep learning predictive model to estimate changes in head pose using video obtaine...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
79a9b9cb-f38e-5093-83a5-556544b34847
DOI
10.1101/2021.03.04.433975
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Estimation of in-scanner head pose changes during structural MRI using a convolutional neural network trained on eye tracker videoDOI 10.1101/2021.03.04.433975
Select a neighboring publication to make it the new centre.