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Journal of Medical Imaging and Radiation Sciences|March 8, 2025
Clinical decision making through game-based learning: Observations within a Radiography Escape RoomTarni Nelson, Johnathan HewisJournal of Medical Imaging and Radiation Sciences|March 1, 2022
Imaging individuals with obesityCaroline Nabasenja, Kym Barry, Tarni Nelson, et al.Journal of Nuclear Medicine Technology|June 9, 2026
Simulation-Enhanced Learning in Nuclear Medicine: Theory, Modalities, and Applications Across the Training ContinuumGeoffrey M Currie, Tarni Nelson, Kym Barry, et al.Journal of Nuclear Medicine Technology|June 9, 2026
Simulation-Enhanced Learning in Nuclear Medicine: Practical-Use SCAFFOLDGeoffrey M Currie, Johnathan Hewis, Kym Barry, et al.Journal of Medical Radiation Sciences|April 16, 2022
Australian perspectives on artificial intelligence in medical imagingGeoffrey Currie, Tarni Nelson, Johnathan Hewis, et al.Journal of Medical Imaging and Radiation Sciences|September 28, 2020
COVID-19 impact on undergraduate teaching: Medical radiation science teaching team experienceGeoffrey Currie, Johnathan Hewis, Tarni Nelson, et al.Journal of Medical Imaging and Radiation Sciences|May 5, 2019
Do MRI Patients Tweet? Thematic Analysis of Patient Tweets About Their MRI ExperienceJohnathan HewisRadiography (London, England : 1995)|February 9, 2023
'Scanxiety': Content analysis of pre-MRI patient experience on InstagramHayley Homewood, Johnathan HewisJournal of Medical Imaging and Radiation Sciences|May 23, 2026
From data-rich to evidence-ready: A narrative review of generative artificial intelligence as a statistical scaffold in medical radiation sciences researchGeoffrey M Currie, Johnathan HewisJournal of Medical Imaging and Radiation Sciences|May 5, 2019
Tomographic Reconstruction: A Nonmathematical OverviewGeoffrey Currie, Johnathan Hewis, Stewart BushongPageof 2