11 citations · 26 across the 6 of their papers we have counts for
6 papers
Anatomy and Physiology of Artificial Intelligence in PET Imaging
Tyler J. Bradshaw, Alan B. McMillan
The influence of artificial intelligence (AI) within the field of nuclear medicine has been rapidly growing. Many researchers and clinicians are seeking to apply AI within PET, and…
Domain-adapted large language models for classifying nuclear medicine reports
Zachary Huemann, Changhee Lee, Junjie Hu +2
With the growing use of transformer-based language models in medicine, it is unclear how well these models generalize to nuclear medicine which has domain-specific vocabulary and u…
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine -- The Bethesda Report (AI Summit 2022)
Arman Rahmim, Tyler J. Bradshaw, Irène Buvat +10
The SNMMI Artificial Intelligence (SNMMI-AI) Summit, organized by the SNMMI AI Task Force, took place in Bethesda, MD on March 21-22, 2022. It brought together various community me…
Validation of Monte Carlo Iodine-131 radiopharmaceutical dosimetry workflow using a 3D printed anthropomorphic head and neck phantom
David P. Adam, Joseph Grudzinski, Ian Bormett +5
Purpose: In this study, we present the creation of an anthropomorphic, head and neck, nuclear medicine phantom and its characterization for the validation of a Monte Carlo, SPECT i…
AI-based data corrections for attenuation and scatter in PET and SPECT
Alan B. McMillan, Tyler J. Bradshaw
Recent developments in artificial intelligence technology have enabled new developments that can improve attenuation and scatter correction in PET and SPECT. These technologies wil…
Spatial Process Decomposition for Quantitative Imaging Biomarkers Using Multiple Images of Varying Shapes
ShengLi Tzeng, Jun Zhu, Amy Weisman +2
Quantitative imaging biomarkers (QIB) are extracted from medical images in radiomics for a variety of purposes including noninvasive disease detection, cancer monitoring, and preci…