News

  • Professor McMillan Participates in Cancer Moonshot Webinar

    The Cancer Moonshot initiative, supported by the bipartisan 21st Century Cures Act, known as the “Cancer Moonshot bill,” was enacted in December 2016. It was reinvigorated by President Biden in February 2022 and continues its …

  • Professor McMillan Honored as Distinguished Investigator by the Academy for Radiology and Biomedical Imaging Research

    In a recognition of contributions to the field of imaging research, Professor McMillan has been selected as a Distinguished Investigator by the Academy for Radiology and Biomedical Imaging Research. This prestigious accolade, presented at the …

  • 2023 ISMRM-SNMMI PET/MR Workshop

    The PET/MR Workshop, co-chaired by Professor Alan B. McMillan, Ph.D., of the University of Wisconsin-Madison, and Patrick Veit-Haibach, M.D., from the University Health Network, Toronto, occurred on October 26th to 29th, 2023, at the University …

  • Professor McMillan presents at ML4MI retreat

    At the UW-Madison Machine Learning for Medical Imaging (ML4MI) retreat, themed “AI in Imaging and Medicine: Breaking Silos, Building Bridges,” Professor McMillan gave a presentation on the relevance and impact of foundation models in medical …

  • MIMRTL Presents at CMIMI 2023

    The MIMRTL team presented research at the 2023 Conference on Machine Intelligence in Medical Imaging (CMIMI), held on October 1-2, 2023, at Johns Hopkins University in Baltimore, Maryland. This event was organized by the Society …

  • New paper published on stroke clot and edema segmentation

    Professor McMillan was a co-author on a study published in the journal “Magnetic Resonance Imaging” entitled “Neural network for autonomous segmentation and volumetric assessment of clot and edema in acute and subacute intracerebral hemorrhages.” A …

  • Dr. McMillan Presents at “Exploring Artificial Intelligence @ UW–Madison” webinar series

    On August 11, 2023, as part of the ongoing “Exploring Artificial Intelligence @ UW–Madison” webinar series, Professor Alan McMillan provided valuable insights into the integration of AI in medical imaging. This session, marking the 8th …

  • MIMRTL Team Presents Work at SIIM 2023

    The MIMRTL team had several presentations at the Society for Imaging Informatics (SIIM) Annual Meeting in that occurred June 14th-16th in Austin, Texas. The team presented work on differential privacy in medical imaging, use of …

  • Dr. McMillan presents at Practical Big Data Workshop

    Dr. McMillan presented at the Practical Big Data Workshop at the University of Michigan in Ann Arbor on May 18th. The title of Dr. McMillan’s talk was “Can Machines be Trusted? Robustification of Deep Learning …

  • Research Presented at Midwest Machine Learning Symposium

    MIMRTL research was presented at the 2023 Midwest Machine Learning Symposium (https://midwest-ml.org/2023). Contributions included poster presentations on CT synthesis from MR images (On The Effect of Training Database Size For MR-based Synthetic CT Generation In …

  • Congrats, 2023 Grads!

    Congratulations to MIMRTL graduate students Sabeeka Khan (LinkedIn: https://www.linkedin.com/in/sabeeka-khan/) and Nikhil Nagam (LinkedIn: https://www.linkedin.com/in/nikhil-nigam-31131b12a/). Both recently graduated with Masters’ degrees in the Department of Electrical and Computer Engineering. We look forward to seeing the great …

  • New Paper Published on Synthetic CT Generation. Quality over Quantity!

    MIMRTL researchers and collaborators, led by S. Iman Zare Estakhraji, PhD recently published a paper that explored the use of unsupervised and supervised training methods to generate synthetic computed tomography (sCT) images from magnetic resonance …

  • MIMRTL Team Members Participate in Undergraduate Research Symposium

    MIMRTL Undergraduate Student Researchers Divya Durgavarjhula, Tracy He, Mahathi Karthikeyan, Kevin Yuan presented their research at the 2023 Undergraduate Symposium (https://ugradsymposium.wisc.edu/). Divya, Tracy, Mahathi, and Kevin participated in research using machine learning and artificial intelligence …

  • Dr. McMillan Selected as Data Science Institute Affiliate

    Dr. McMillan, MIMRTL Principal Investigator, was recently selected as a Data Science Institute Affiliate. The Data Science Institute (DSI) at the University of Wisconsin collaborates with campus researchers to address data science challenges, such as …

  • MIMRTL Research Featured in Video from the National Library of Medicine

    MIMRTL research was featured in a video produced with support from the National Library of Medicine. This video features Dr. McMillan as well as MIMRTL collaborators John Garrett, PhD and Richard Bruce, MD discussing our …

  • Updated 4.7T MRI!

    Please see this related story from the Department of Medical Physics regarding the upgraded 4.7T MR Scanner: Animal Imaging Gets a Boost with Updated 4.7T MRI

  • Congrats Jinnian Zhang, PhD!

    MIMRTL team member Jinnian Zhang successfully defended his PhD thesis in the Department of Electrical and Computer Engineering entitled “Towards Efficient Deep Learning Models for Image Recognition.” Jinnian conducted state of the art research towards …

  • MIMRTL Team Members Present at CMIMI 2022!

    MIMRTL team members presented at the 2022 Conference on Machine Intelligence in Medical Imaging (CMIMI) from the Society for Imaging Informatics in Medicine (SIIM). Presentations included: (poster) – Torres-Velázquez M, Joshi T, McMillan A. (2022). …

  • MIMRTL team members and collaborators present at SNMMI 2022!

    Congratulations to our MIMRTL team members and collaborators who presented their research at the 2022 Society for Nuclear Medicine and Molecular Imaging (SNMMI) in Vancouver, British Columbia from June 11th-14th. There are many great contributions …

  • Congrats Maribel Torres-Velázquez, PhD!

    MIMRTL team member Maribel Torres-Velázquez succesfully defended her PhD thesis in the Department of Biomedical Engineering entitled “Deep Learning and Radiomics Applied to Magnetic Resonance Images of the Brain and Muscles to Better Detect Disease.” …

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