MIMRTL team members Maribel Torres-Velazquez, Wei-Jie Chen, Xue Li, and Dr. Alan McMillan published a new paper in IEEE Transactions on Radiation and Plasma Medical Sciences entitled ‘Application and construction of deep learning networks in medical imaging’ that outlines the steps necessary for the application of deep learning to medical imaging data. Link: https://doi.org/10.1109/TRPMS.2020.3030611
MIMRTL team members Dr. Bruce Collick, Dr. Bahareh Bezhadnezhad, Dr. Samuel Hurley, and Dr. Alan McMillan published a new paper in Physics in Medicine and Biology entitled ‘Rapid development of application-specific flexible MRI receive coils’ that describes rapid prototyping of MRI coils utilizing lightweight and flexible AIR coil technology. Link: https://doi.org/10.1088/1361-6560/abaffb
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.”
Congratulations to MIMRTL graduate student Alex Kaeck for successfully defending his Masters’ thesis in Medical Physics. Alex’s thesis is entitled “Quantitative Whole-Body Dynamic PET Imaging and Applications.” After graduation, Alex is beginning a medical physics residency at Naval Medical Center Portsmouth. Congrats, Alex!
Dr. McMillan with co-PI Sean Fain (Professor, Medical Physics) received a University of Wisconsin Research Core Revitalization Project. This important investment from the University of Wisconsin will help fund an upgrade to the 4.7T small animal MRI scanner located in the Wisconsin Institutes for Medical Research. Additional supporting funds have been pledged by the UW …
Congrats to our undergraduate MIMRTL researchers who graduated recently. This includes: Grace Herbeck (Dec 2019), Murad Jaber (May 2020), Nick Mathew (May 2020), Tyler Walters (May 2020).
Dr. Bradshaw and Dr. McMillan gave a hands-on webinar demonstrating artificial intelligence applications for medical imaging. Attendees of the webinar participated in hands-on learning activities to develop and test a classification model to determine the modality of medical images and also developed an AI-based segmentation tool. This webinar was organized by the Physics, Instrumentation, and …
Dr. McMillan gave an SNMMI webinar entitled “Introduction to AI, Machine Learning, and Deep Learning (DL), with focus on DL Methods and Architectures” for the Society of Nuclear Medicine and Molecular Imaging. This was an online webinar that introduced concepts of artificial intelligence and deep learning for nuclear medicine and molecular imaging applications. More information …