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 …
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Dr. McMillan Receives NSF Grant
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 …
New NIH R01 for Robust Deep Learning in Medical 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 …
Congrats Alex Kaeck, MS!
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 …
Dr. McMillan receives University of Wisconsin Research Core Revitalization Program Award
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 …
Congrats, Grads!
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 give hands-on SNMMI webinar on AI
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 …
Dr. McMillan gives Educational SNMMI Webinar on AI
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 …
2020 SNMMI Abstracts Accepted
Congratulations to MIMRTL team members Sam, Weijie, and Matthew on their acceptance of their SNMMI Abstract Submissions! Chen W, McMillan AB. (2020). Single Subject Deep Learning-based Partial Volume Correction for PET using Simulated Data and …
Congratulations Bahar Behzadnezhad, PhD!
Congratulations to MIMRTL Graduate Student, Bahar Behzadnezhad for successfully defending her PhD thesis entitled “Conformal and Flexible MRI Coils for Improved SNR.” After graduation, Dr. Behzadnezhad has obtained a position with Apple. Congrats Bahar!