Confounding variables can degrade generalization performance of radiological deep learning models. - John R. Zech; Marcus A. Badgeley; Manway Liu; Anthony B. Costa; Joseph J. Titano; Eric K. Oermann (CoRR, 2018)

CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosis. - 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 (Bioinform., 2019)

Deep learning predicts hip fracture using confounding patient and healthcare variables. - 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 (npj Digit. Medicine, 2019)

Quantifying neurologic disease using biosensor measurements in-clinic and in free-living settings in multiple sclerosis. - Tanuja Chitnis; Bonnie I. Glanz; Cindy Gonzalez; Brian C. Healy; Taylor J. Saraceno; Neda Sattarnezhad; Camilo Diaz-Cruz; Mariann Polgar-Turcsanyi; Subhash Tummala; Rohit Bakshi; Vikram Bajaj; David Ben Shimol; et al. (npj Digit. Medicine, 2019)