Elizabeth M. Davenport

According to our database, Elizabeth M. Davenport authored at least 11 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

MEGnet: Automatic ICA-based artifact removal for MEG using spatiotemporal convolutional neural networks.

Alex Treacher, Prabhat Garg, Elizabeth M. Davenport, Ryan Godwin, Amy L. Proskovec, Leonardo Guimaraes Bezerra, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo

NeuroImage, 2021

2020

BrainNET: Inference of Brain Network Topology Using Machine Learning.

Gowtham Krishnan Murugesan, Chandan Ganesh Bangalore Yogananda, Sahil S. Nalawade, Elizabeth M. Davenport, Benjamin C. Wagner, Won Hwa Kim, Joseph A. Maldjian

Brain Connect., 2020

MEG Sensor Selection for Neural Speech Decoding.

Debadatta Dash, Alan Wisler, Paul Ferrari, Elizabeth M. Davenport, Joseph A. Maldjian, Jun Wang

IEEE Access, 2020

2018

Quantifying the association between white matter integrity changes and subconcussive head impact exposure from a single season of youth and high school football using 3D convolutional neural networks.

Behrouz Saghafi, Gowtham Murugesan, Elizabeth M. Davenport, Benjamin C. Wagner, Jillian Urban, Mireille Kelley, Derek Jones, Alexander Powers, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Single season changes in resting state network power and the connectivity between regions distinguish head impact exposure level in high school and youth football players.

Gowtham Krishnan Murugesan, Behrouz Saghafi, Elizabeth M. Davenport, Benjamin C. Wagner, Jillian Urban-Hobson, Mireille Kelley, Derek Jones, Alex Powers, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017

Automatic 1D convolutional neural network-based detection of artifacts in MEG acquired without electrooculography or electrocardiography.

Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo

Proceedings of the 2017 International Workshop on Pattern Recognition in Neuroimaging, 2017

Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography Without Resorting to Electrooculography.

Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Benjamin C. Wagner, Christopher T. Whitlow, Joseph A. Maldjian, Albert Montillo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Changes in resting state MRI networks from a single season of football distinguishes controls, low, and high head impact exposure.

Gowtham Murugesan, Afarin Famili, Elizabeth M. Davenport, Benjamin C. Wagner, Jillian Urban, Mireille Kelley, Derek Jones, Christopher T. Whitlow, Joel D. Stitzel, Joseph A. Maldjian, Albert Montillo

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Automatic identification of successful memory encoding in stereo-eeg of refractory, mesial temporal lobe epilepsy.

Afarin Famili, Gowtham Krishnan Murugesan, Elizabeth M. Davenport, James Germi, Benjamin C. Wagner, Bradley Lega, Albert Montillo

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2014

Graph theoretical analysis of resting-state MEG data: Identifying interhemispheric connectivity and the default mode.

Joseph A. Maldjian, Elizabeth M. Davenport, Christopher T. Whitlow

NeuroImage, 2014

Relational learning helps in three-way classification of Alzheimer patients from structural magnetic resonance images of the brain.

Sriraam Natarajan, Baidya Nath Saha, Saket Joshi, Adam Edwards, Tushar Khot, Elizabeth M. Davenport, Kristian Kersting, Christopher T. Whitlow, Joseph A. Maldjian

Int. J. Mach. Learn. Cybern., 2014