News

  • New NIH R01 for PET/MR to Study Brain Aging in Epilepsy!

    Dr. McMillan, along with Associate Professor Vivek Prabhakaran were awarded an R01 from the National Institute of Neurological Disorders and Stroke. The title of the project is “PET/MR Correlates of Accelerated Aging in Chronic Epilepsy.”

  • New Paper Published on Simultaneous Cardiac PET/MR

    Dr. Alan McMillan was a co-author on a new paper published in the Journal of Clinical Medicine entitled ‘Dynamic FDG PET Imaging to Probe for Cardiac Metabolic Remodeling in Adults Born Premature’ that studies simultaneous …

  • New Paper Published on Simultaneous Breast PET/MR

    MIMRTL team members Dr. Samuel Hurley and Dr. Alan McMillan were co-authors on a new paper in Radiology: Cancer Imaging entitled ‘Measuring Glucose Uptake in Primary Invasive Breast Cancer Using Simultaneous Time-of-Flight Breast PET/MRI: A …

  • New Paper Published on CT Synthesis from MRI using Deep Learning

    MIMRTL team members Haley Massa and Dr. Alan McMillan published a new paper in Physics in Medicine and Biology entitled ‘Comparison of deep learning synthesis of synthetic CTs using clinical MRI inputs’ that studies the …

  • New Paper Published on Lightweight MRI Coils for Improved PET Quality in Simultaneous PET/MR

    MIMRTL team members Nick Mathew, Dr. Samuel Hurley, and Dr. Alan McMillan published a new paper in Radiology entitled ‘PET Image Quality Improvement for Simultaneous PET/MRI with a Lightweight MRI Surface Coil’ that demonstrates improved …

  • New Review Paper Published on the Application and Construction of Deep Learning Networks

    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 …

  • New Paper Published on Rapid MRI Coil Development

    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’ …

  • Dr. McMillan writes editorial for the journal Radiology on continuous learning in artificial intelligence for medical imaging

    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 …

  • 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, 2020 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!

  • Dr. McMillan speaks at EANM

    Dr. McMillan participated in the Pre-Congress Symposium entitled “Advances in Image Processing Techniques” organized by the Physics + Dosimetry Committee of the European Association of Nuclear Medicine (EANM) annual meeting in Barcelona, Spain on October …

  • Postdoctoral Researcher Opportunity

    This position is currently filled. MIMRTL is looking for a Postdoctoral Researcher to join our team! Description: A postdoctoral researcher position is available in the Departments of Medical Physics and Radiology at the University of …

  • Join us in Madison for the UW+GE MRI Programming Workshop in August 2019

    Dr. McMillan is one of the organizers and instructors of the GE Healthcare Magnetic Resonance Imaging Programming (MRI) Workshop. Going into its 6th year, this workshop is designed for beginners to learn how to use the …

  • More News