Month: August 2020

Dr. McMillan from MIMRTL recently wrote an editorial for the journal Radiology, entitled “Making Your AI Smarter: Continuous Learning Artificial Intelligence for Radiology.” Continuous learning is strategy that allows models to evolve and improve over time. It will have substantial implications as more and more deep learning applications are clinically approved for medical imaging. Read …

Dr. McMillan is co-PI on a new NSF award, from the division Electrical, Communications and Cyber Systems, with Professor Nader Behdad, PhD (PI,  Department of Electrical and Computer Engineering). The title of the award is “Traveling Wave Approaches for Improved Sensitivity and Spatial Coverage in Continuous-Wave (CW) Electron Paramagnetic Resonance Imaging.”

Dr. McMillan, along with Associate Professor Po-Ling Loh, PhD (Statistics) and Assistant Professor  Varun Jog, PhD (Electrical and Computer Engineering)  were awarded an R01 from the National Library of Medicine. The title of the project is “Can Machines Be Trusted? Robustification of Deep Learning for Medical Imaging.”