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 …
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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 …
Congrats to Weijie Chen, MS on a successful PhD preliminary examination!
Congratulations to Weijie Chen on a successful preliminary examination! Weijie’s PhD thesis work in the MIMRTL group will develop efficient ensemble methods applied to medical imaging. His hypothesis is that such models will yield not …
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 …