Data Quality and Harmonization Subcommittee (DQH).
Lead: AAPM
DQH advises on ensuring the integrity of the data collected and distributed by designing and reviewing quality/assurance, data acquisition processes, data quality processes, and harmonization methods across image acquisition systems and protocols.
Members:
Johnbright Anyaibe, Gen3 / University of Chicago, Sam Armato, PhD, University of Chicago, Charlie Apgar, ACR,, Sarah Beth Bdoyan, ACR, Brian Bialecki, ACR, John Boone, PhD, University of California Davis, Brad Bower, PhD, NIH, Gillian Campbell, University of Chicago, Christopher Carr, RSNA, Thomas Chenevert, PhD, University of Michigan, Laura Coombs, PhD, ACR, Vaitheesh Dharmalingam, Gen 3 / University of Chicago, Karen Drukker, PhD, University of Chicago, Lindsey Dymond, ACR, Jamie Dulkowski, RSNA, Andrey Fedorov, PhD, Brigham and Women’s, Dena Flamini, ACR, Eric Giger, Gen 3 / University of Chicago, Maryellen Giger, PhD, University of Chicago, Robert Grossman, PhD, Gen 3 / University of Chicago, Nick Gruszauskas, PhD, University of Chicago, Paul Kinahan, PhD,(lead), University of Washington, Curtis Langlotz, MD, PhD, Stanford University, Zihan Li, University of Washington, Tara Lichtenberg, Gen 3 / University of Chicago, Jon Ludwig, RSNA, Michael McNitt-Gray, PhD, University of California Los Angeles, Chris Meyer, PhD, Gen 3 / University of Chicago, Sam Miller, RSNA, Thomas O’Sullivan, RSNA, Shree Periakaruppan, ACR, Katie Pizer, University of Chicago, Tara Retson, MD, PhD, University of California San Diego, Michelle Riopel, RSNA, Jason Sho, RSNA, George Shih, MD, Weill Cornell, William Shuman, MD, University of Washington, Mike Tilkin, ACR, Emily Townley, AAPM, Maryam Vazirabad, RSNA