Prabhat Garg

According to our database, Prabhat Garg authored at least 4 papers between 2017 and 2021.

Collaborative distances:

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

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

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

Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks.

Behrouz Saghafi, Prabhat Garg, Benjamin C. Wagner, S. Carrie Smith, Jianzhao Xu, Ananth J. Madhuranthakam, Youngkyoo Jung, Jasmin Divers, Barry I. Freedman, Joseph A. Maldjian, Albert Montillo

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 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