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 annual Radiological Society of North America (RSNA) meeting on November 28, 2023, underscores Professor McMillan’s achievements and sustained excellence in …

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 of Southern California in Los Angeles, California. This event, a collaborative effort between the International Society for Magnetic Resonance in …

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 imaging AI​​. The retreat was co-organized by Associate Professor Pallavi Tiwari, PhD from the Department of Radiology and Professor Kyle …

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 for Imaging Informatics in Medicine (SIIM), a professional scientific society for imaging informatics. Hybrid Model for Synthetic CT Generation from …

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 link to the full paper is available here: https://doi.org/10.1016/j.mri.2023.07.015 Co-authors of the study included: Dr. Azam Ahmed, Associate Professor of …

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 installment of the series, delved into the evolving role of AI as a critical tool in enhancing the capabilities of …

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 ontology mapping to aid in machine learning classification of medical images, and automated ways to detect body regions in medical …

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 for Medical Imaging.” This work highlighted some of the work the MIMRTL group is doing towards the development of robust …

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 The Head by S. Iman Zare Estakhraji; Weijie Chen; Ali Pirasteh; Tyler Bradshaw; Alan McMillan) and convex optimization strategies to …

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 things that you accomplish. Congrats to Sabeeka and Nikhil!