Dr. Bradshaw and Dr. McMillan gave a hands-on webinar demonstrating artificial intelligence applications for medical imaging. Attendees of the webinar participated in hands-on learning activities to develop and test a classification model to determine the modality of medical images and also developed an AI-based segmentation tool. This webinar was organized by the Physics, Instrumentation, and …
Dr. McMillan gave an SNMMI webinar entitled “Introduction to AI, Machine Learning, and Deep Learning (DL), with focus on DL Methods and Architectures” for the Society of Nuclear Medicine and Molecular Imaging. This was an online webinar that introduced concepts of artificial intelligence and deep learning for nuclear medicine and molecular imaging applications. More information …
Congratulations to MIMRTL team members Sam, Weijie, and Matthew on their acceptance of their SNMMI Abstract Submissions! Chen W, McMillan AB. (2020). Single Subject Deep Learning-based Partial Volume Correction for PET using Simulated Data and Cycle Consistent Networks. Society of Nuclear Medicine and Molecular Imaging 2020 Meeting. New Orleans, Louisiana. (oral presentation) Hurley SA, McMillan …
Congratulations to MIMRTL Graduate Student, Bahar Behzadnezhad for successfully defending her PhD thesis entitled “Conformal and Flexible MRI Coils for Improved SNR.” After graduation, Dr. Behzadnezhad has obtained a position with Apple. Congrats Bahar!