A Machine Learning Pipeline for Three-Way Classification of Alzheimer Patients from Structural Magnetic Resonance Images of the Brain. - Sriraam Natarajan; Saket Joshi; Baidya Nath Saha; Adam Edwards; Tushar Khot; Elizabeth Moody; Kristian Kersting; Christopher T. Whitlow; Joseph A. Maldjian (ICMLA (1), 2012)

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)

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)

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 (ISBI, 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 (ISBI, 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 (MICCAI (3), 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 (PRNI, 2017)

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 (Computer-Aided Diagnosis, 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 (Computer-Aided Diagnosis, 2018)

MEG Sensor Selection for Neural Speech Decoding. - Debadatta Dash; Alan Wisler; Paul Ferrari; Elizabeth M. Davenport; Joseph A. Maldjian; Jun Wang 037 (IEEE Access, 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)

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)

Magnetoencephalography Atlas Viewer for Dipole Localization and Viewing. - N. C. d. Fonseca; Jason Bowerman; Pegah Askari; Amy L. Proskovec; Fabricio Stewan Feltrin; Daniel Veltkamp; Heather Early; Ben C. Wagner; Elizabeth M. Davenport; Joseph A. Maldjian (J. Imaging, 2024)