Michael V. McConnell

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 6

Top Topics

Top Venues

npj Digit. Medicine

Publications

Matthew Abueg, Robert Hinch, Neo Wu, Luyang Liu, William J. M. Probert, Austin Wu, Paul Eastham, Yusef Shafi, Matt Rosencrantz, Michael Dikovsky, Zhao Cheng, Anel Nurtay, Lucie Abeler-Dörner, David G. Bonsall, Michael V. McConnell, Shawn O'Banion, Christophe Fraser
Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state. npj Digit. Medicine 4 (2021)
Marcus A. Badgeley, John R. Zech, Luke Oakden-Rayner, Benjamin S. Glicksberg, Manway Liu, William Gale, Michael V. McConnell, Bethany Percha, Thomas M. Snyder, Joel T. Dudley
Deep learning predicts hip fracture using confounding patient and healthcare variables. npj Digit. Medicine 2 (2019)
Marcus A. Badgeley, Manway Liu, Benjamin S. Glicksberg, Mark M. Shervey, John R. Zech, Khader Shameer, Joseph Lehar, Eric K. Oermann, Michael V. McConnell, Thomas M. Snyder, Joel T. Dudley
CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosis. Bioinform. 35 (9) (2019)
Marcus A. Badgeley, John R. Zech, Luke Oakden-Rayner, Benjamin S. Glicksberg, Manway Liu, William Gale, Michael V. McConnell, Beth Percha, Thomas M. Snyder, Joel T. Dudley
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables. CoRR (2018)
Ravi Narasimhan, Tushar Parlikar, George Verghesel, Michael V. McConnell
Finger-Wearable Blood Pressure Monitor. EMBC (2018)
Ryan Poplin, Avinash V. Varadarajan, Katy Blumer, Yun Liu, Michael V. McConnell, Gregory S. Corrado, Lily Peng, Dale R. Webster
Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning. CoRR (2017)