Cite

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

MLA

Pardoe, Heath R., et al. “Estimation of In-Scanner Head Pose Changes during Structural MRI Using a Convolutional Neural Network Trained on Eye Tracker Video.” Magnetic Resonance Imaging, vol. 81, Sept. 2021, pp. 101–08. EBSCOhost, https://doi.org/10.1016/j.mri.2021.06.010.



APA

Pardoe, H. R., Martin, S. P., Zhao, Y., George, A., Yuan, H., Zhou, J., Liu, W., & 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. https://doi.org/10.1016/j.mri.2021.06.010



Chicago

Pardoe, Heath R, Samantha P Martin, Yijun Zhao, Allan George, Hui Yuan, Jingjie Zhou, Wei Liu, and Orrin Devinsky. 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 (September): 101–8. doi:10.1016/j.mri.2021.06.010.