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 studying efficient and robust deep learning models applied to medical imaging. Thanks to the committee members for their advice and …
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). Radiomics for Intractable vs not Intractable Epilepsy Classification using Magnetic Resonance Imaging Data. (oral presentation) – Zhang J, Joshi T, …
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 using novel radiotracers and novel technical developments! Oral Presentations Staging Liver Fibrosis by Fibroblast Activation Protein Inhibitor Positron Emission Tomography …
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.” In her thesis, Maribel conducted interesting and state of the art analyses using a combination of machine learning and deep …
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 Appiani Project Description: The medical field is constantly growing with regards to new applications of artificial intelligence and machine learning. …
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 American Statistical Association and focuses on statistical work in imaging sciences. Dr. McMillan gave a talk entitled “Robustness (or not) …
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, Electrical and Computer Engineering Maribel Torres-Velázquez, PhD, Biomedical Engineering
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 research and provide educational opportunities for scientists and clinicians working in the magnetic resonance imaging (MRI) field. Dr. McMillan presented …
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 data-driven approach using a ultra-short PET frames (approximately 1 second long) to estimate head motion during a PET scan. This …