High Dimensional Classification of Structural MRI Alzheimer's Disease Data Based on Large Scale Regularization. - Ramon Casanova; Christopher T. Whitlow; Benjamin C. Wagner; Jeff Williamson; Sally A. Shumaker; Joseph A. Maldjian; Mark A. Espeland (Frontiers Neuroinformatics, 2011)

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)

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 (DLMIA/ML-CDS@MICCAI, 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)

Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. - Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh Bangalore Yogananda; Benjamin C. Wagner; Fang F. Yu; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian (BrainLes@MICCAI (2), 2019)

Fully Automated Brain Tumor Segmentation and Survival Prediction of Gliomas Using Deep Learning and MRI. - Chandan Ganesh Bangalore Yogananda; Benjamin C. Wagner; Sahil S. Nalawade; Gowtham Krishnan Murugesan; Marco C. Pinho; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian (BrainLes@MICCAI (2), 2019)

A Deep Learning Pipeline for Automatic Skull Stripping and Brain Segmentation. - Chandan Ganesh Bangalore Yogananda; Benjamin C. Wagner; Gowtham Krishnan Murugesan; Ananth J. Madhuranthakam; Joseph A. Maldjian (ISBI, 2019)

Multidimensional and Multiresolution Ensemble Networks for Brain Tumor Segmentation. - Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; Benjamin C. Wagner; Fang F. Yu; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian (BrainLes@MICCAI (1), 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)

Federated Learning for Brain Tumor Segmentation Using MRI and Transformers. - Sahil S. Nalawade; Chandan Ganesh; Benjamin C. Wagner; Divya D. Reddy; Yudhajit Das; Fang F. Yu; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian (BrainLes@MICCAI (2), 2021)

Disparity Autoencoders for Multi-class Brain Tumor Segmentation. - Chandan Ganesh Bangalore Yogananda; Yudhajit Das; Benjamin C. Wagner; Sahil S. Nalawade; Divya D. Reddy; James M. Holcomb; Marco C. Pinho; Baowei Fei; Ananth J. Madhuranthakam; Joseph A. Maldjian (BrainLes@MICCAI (2), 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 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)

Advancing Brain Tumor Analysis: Curating a High-Quality MRI Dataset for Deep Learning-Based Molecular Marker Profiling. - Divya D. Reddy; Niloufar Saadat; James M. Holcomb; Benjamin C. Wagner; Nghi C. Truong; Jason Bowerman; Kimmo J. Hatanpaa; Toral R. Patel; Marco C. Pinho; Ananth J. Madhuranthakam; Chandan Ganesh Bangalore Yogananda; Joseph A. Maldjian (CVPR Workshops, 2024)

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)