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 …
Year: 2023
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 …
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