News

  • 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, 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 …

  • 2019 SNMMI Abstracts Accepted!

    Congrats to the team for success on Society of Nuclear Medicine and Molecular Imaging (SNMMI) abstract submissions. These abstracts will be preseted as poster or oral presentations at the 2019 SNMMI meeting in Anaheim, California. …

  • New publication in Journal of Applied Clinical Medical Physics

    Team members Fang and Alan along with collaborators from the Department of Human Oncology recently published an article in the Journal of Applied Clinical Medical Physics entitled “MR‐based treatment planning in radiation therapy using a …

  • New publication in IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology

    Team members from MIMRTL (Bahar, Jake, Sam, Bruce, Alan) recently published an article in the IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology entitled “Subject-specific, Non-invasive Helmet-restraint RF Coil for Awake, Non-human …

  • 2019 ISMRM Abstracts Accepted!

    Congrats to the team for 100% success on ISMRM abstract submissions. This includes Bahar (2x) for her abstracts “Rapid Material Characterization For 3D-printed MRI Coils: A Deep Learning Approach” and “Traveling-Wave Excitation for Electron Paramagnetic …

  • SNMMI Mid-Winter Meeting and Deep Learning in Nuclear Medicine

    Dr. McMillan gave an educational presentation at the 2019 Society of Nuclear Medicine and Molecular Imaging (SNMMI) Mid-Winter Meeting in Palm Springs, California on January 19th 2019. The talk, entitled “What is Machine Learning? What …

  • Alan McMillan, PhD, Appointed to Radiology Editorial Board

    Alan McMillan, PhD, was recently appointed to the Editorial Board of the journal Radiology, as an Associate Editor in the area of Artificial Intelligence and Radiomics. New members of the Editorial board are peer reviewers …

  • Dr. McMillan Awarded NIH Grant for Deep Learning MR Research to Improve Substitute CT Generation for PET/MR and MR-based Radiation Treatment Planning

    Alan McMillan, PhD, an Associate Professor of Clinical Health Sciences in the UW Department of Radiology, was recently awarded a four-year, $1.84 million grant awarded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) …

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