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 …
June 16, 2023Dr. 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 …
May 18, 2023Research 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 …
May 17, 2023Congrats, 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 things …
May 13, 2023New 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 …
May 9, 2023MIMRTL 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 …
April 28, 2023Dr. 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 …
April 21, 2023MIMRTL 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 …
April 19, 2023Updated 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
April 17, 2023Congrats 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 …
December 12, 2022MIMRTL 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). …
October 1, 2022MIMRTL 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 …
June 11, 2022Congrats 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.” …
June 9, 2022Congrats to our Undergraduate Research Scholars
This past academic year three undergraduate students participated in the undergraduate research scholars (URS) program with MIMRTL. Here are more details about their projects: Analysis of Probabilistic Classifiers for Disease Detection in Medical Imaging Camilla …
June 2, 2022Dr. McMillan presents at the 2022 Statistics in Medical Imaging Conference
Dr. McMillan presented at the 2022 Statistics in Medical Imaging (SMI) Conference that occurred May 25-27th at Vanderbilt University Medical Center. This meeting is the official meeting of the Statistics in Imaging Section of the …
May 27, 2022Congrats 2022 Graduates!
A hearty congratulations to our MIMRTL team members who graduated in May 2022! Graduating team members include: Matthew Parker, BS, Computer Science Helena Van Hemmen, BS, Applied Mathematics, Engineering, and Physics Zeming Xie, MS, …
May 13, 2022Dr. McMillan presents at the 2022 International Society for Magnetic Resonance in Medicine (ISMRM) Conference
Dr. McMillan presented at the 2022 International Society for Magnetic Resonance in Medicine (ISMRM) Conference in London, UK on May 7th, 2022. The ISMRM meeting brings together experts all across the world to present new …
May 7, 2022New paper published on motion robust PET brain imaging
MIMRTL members Dr. Matthew Spangler-Bickell (alum), Dr. Samuel Hurley, and Dr. Alan McMillan recently published a new paper in the Journal of Nuclear Medicine for motion-robust PET brain image reconstruction. This approach leverages a fully …
February 8, 2022Spotlight: Meet our Scientist, Sam Hurley!
Samuel Hurley, Ph.D. (he/him) Hometown: Waukesha, WI, USA Lab Position: Scientist What is your current research area? My background is quantitative neuroimaging, so sequences to map parameters like T1, T2, etc. as well as more …
November 16, 2021Maribel Torres-Velázquez selected as a 2021 MIT EECS Rising Star!
Congrats to MIMRTL team member, and biomedical engineering PhD candidate, Maribel Torres-Velázquez for being selected as one of the 2021 MIT EECS Rising Stars! MIT EECS Rising Stars is an intensive workshop for women graduate …
October 15, 2021- More News