
EEG-Based Deep Neural Network Model for Brain Age Prediction and its Association with Patient Health Conditions
Yoav N. Nygate, MS, Sam Rusk, BS, Chris R. Fernandez, MS, Nick Glattard, MS, Jessica Arguelles, BS, Jiaxiao M. Shi,
Yoav N. Nygate, MS, Sam Rusk, BS, Chris R. Fernandez, MS, Nick Glattard, MS, Jessica Arguelles, BS, Jiaxiao M. Shi,
William Hevener, RPSGT • Bretton Beine, BA, RPSGT • John Woodruff • Dominic Munafo, MD • Chris Fernandez, MS1 •
Chris Fernandez1,2 • Sam Rusk, BS1,2 • Nick Glattard, MS1,2 • David Piper, BS1 • Jonathan Solis, BS1 • Brock
Dominic Munafo, MD1 • Bretton Hevener1 • William Hevener1 • Sam Clark, MD1 • Jeff Goe, BS1 • Chris Fernandez,
Fernandez C1,2 • Rusk S1,2 • Glattard N1,2 • Hensen B2, Shokoueinejad M3 • Creado S2 • Hungerford J4 Download
Fernandez C1,2 • Rusk S1,2 • Glattard N1,2 • Shokoueinejad M3 Download the Abstract Download the Poster Download the Presentation
Mehdi Shokoueinejad1,2,3 • Chris Fernandez2,3 • Emily Carroll4 • Fa Wang5 • Jake Levin1 • Sam Rusk2,3 • Nick Glattard2,3 • Ashley
Mehdi Shokoueinejad1,4 • Arman Pazouki2 • Jake Levin1 • Fa Wang3 • Chris Fernandez1 • Samuel Rusk3 • Icaro dos Santos1 • Ashley Mulchrone1 • Jerome Dempsey4 • John
Chris R. Fernandez1 • Samuel J. Rusk1 • Nick J. Glattard1 • Mehdi Shokoueinejad2 Download the Abstract Overview In this
Andrea Ramberg, RPSGT, CCSH EnsoData Clinical Director
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