Manway Liu

According to our database, Manway Liu authored at least 4 papers between 2018 and 2019.

Collaborative distances:

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

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, Nikhil Bikhchandani, Alexander W. Blocker, Joshua Burkart, Raphael Cendrillon, Michael P. Cusack, Emre Demiralp, Sarel Kobus Jooste, Alaa Kharbouch, Amy A. Lee, Joseph Lehar, Manway Liu, Swaminathan Mahadevan, Mark Murphy, Linda C. Norton, Tushar Anil Parlikar, Anupam Pathak, Ali Shoeb, Erin Soderberg, Philip Stephens, Aaron H. Stoertz, Florence Thng, Kashyap R. Tumkur, Hongsheng Wang, Jane Rhodes, Richard A. Rudick, Richard M. Ransohoff, Glenn A. Phillips, Effie Bruzik, William J. Marks, Howard L. Weiner, Thomas M. Snyder

npj Digit. Medicine, 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

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

2018

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