Estimation of in-scanner head pose changes during structural MRI using a convolutional neural network trained on eye tracker video
Estimation of in-scanner head pose changes during structural MRI using a convolutional neural network trained on eye tracker video
This site contains links to datasets and code used to train a convolutional neural network to estimate changes in head pose during acquisition of structural MRI. If you use these datasets for your own work, please cite the following article:
Pardoe, H.R., Martin, S.P., Zhao, Y., George, A., Yuan, H., Zhou, J., Liu, W. and Devinsky, O. (2021), Estimation of in-scanner head pose changes during structural MRI using a convolutional neural network trained on eye tracker video, Magnetic Resonance Imaging, 81:101-108, doi: https://doi.org/10.1016/j.mri.2021.06.010
Contact: Heath Pardoe, heath.pardoe@nyulangone.org
MRI scans [link]
Video files [link]
Code [link]