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 …December 12, 2022
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). …October 1, 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 …June 11, 2022
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.” …June 9, 2022
Congrats 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, 2022
Dr. 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, 2022
Congrats 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, 2022
Dr. 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, 2022
New 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, 2022
Spotlight: 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, 2021
Maribel 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
New paper published on synthetic CT generation
Xue Li and Dr. Alan B. McMillan just published a new article in the Practical Radiation Oncology journal entitled ‘Synthetic CT Generation from 0.35T MR Images for MR-only Radiation Therapy Planning Using Perceptual Loss Models’. …October 8, 2021
New paper published on robustness of UNets for medical image segmentation
MIMRTL team members just published a new article in the Journal of Digital Imaging entitled ‘Robustifying Deep Networks for Medical Image Segmentation’. This study investigated the robustness of UNets for brain tumor segmentation, in subjects …September 28, 2021
Congratulations to our recent graduate, Hamsalekha Premkumar!
Hamsalekha Premkumar (she/her) M.S. in Electrical Engineering Hometown: Bangalore, India Twitter: @HamsalekhaPrem1 LinkedIn: @hamsalekha-p Hamsalekha graduated with a MS in electrical engineering. Her research focused on radiomics-based machine learning analysis to distinguish …September 14, 2021
New paper published on AI algorithms used in PET imaging
MIMRTL team members Dr. Tyler J. Bradshaw and Dr. Alan McMillan were co-authors on a new article in PET Clinics entitled ‘Anatomy and Physiology of Artificial Intelligence in PET Imaging’. See the article here!August 10, 2021
Fall 2021 GE MR Programming Workshop Announcement!
Join us this fall for the next installment of the virtual GE EPIC and Orchestra programming workshop! Dates: September 7th – December 3rd, 2021 For more information about the workshop, including registration, click here!August 10, 2021
New NFL $4 Million Grant Awarded to Study Hamstring Injuries!
Dr. McMillan and Dr. Hurley are co-investigators in a recently NFL founded groundbreaking international research on hamstring injuries. The objective of this study is to use multimodal MRI imaging to better characterize hamstring injuries in …July 19, 2021
MIMRTL Welcomes our New Summer Students!
Jacob Fuchs (he/him) Email: firstname.lastname@example.org Twitter: @JacobFuchs17 LinkedIn: Jacob Fuchs Hometown: Ellsworth, WI Lab Position: Medical Student Academic Program: Doctor of Medicine (MD) Student, UWSMPH Research Topic: Organ segmentation of PET/CT scans by deep learning …June 29, 2021
Congratulations, 2021 Graduates!
Congratulations to recent graduates and MIMRTL lab members! Check out their post-graduation plans: Charles Hower Charles Hower graduated with a BS in Biomedical Engineering and a Certificate in Computer Science. He is currently applying to …June 8, 2021
New NIH R01 for PET/MR to Study Brain Aging in Epilepsy!
Dr. McMillan, along with Associate Professor Vivek Prabhakaran were awarded an R01 from the National Institute of Neurological Disorders and Stroke. The title of the project is “PET/MR Correlates of Accelerated Aging in Chronic Epilepsy.”April 16, 2021
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