Showing results (1-10 of 8) with videos related to
Sort By:
Pageof 1
Radiography (London, England : 1995)|September 3, 2025
Convolutional neural network application for automated lung cancer detection on chest CT using Google AI StudioZ Aljneibi, S Almenhali, L LancaRadiography (London, England : 1995)|February 14, 2020
Can the anode heel effect be used to optimise radiation dose and image quality for AP pelvis radiography?H A A B Mraity, L Walton, A England, et al.Radiography (London, England : 1995)|July 30, 2021
The use of deep learning towards dose optimization in low-dose computed tomography: A scoping reviewE Immonen, J Wong, M Nieminen, et al.Radiography (London, England : 1995)|February 28, 2026
Exploring social accountability in radiography education: Student perspectives on current practices and understandingM M Abuzaid, W Elshami, M H Taha, et al.Radiography (London, England : 1995)|June 11, 2020
Initial data from an experiment to implement a safe procedure to perform PA erect chest radiographs for COVID-19 patients with a mobile radiographic system in a "clean" zone of the hospital wardL H Sng, L Arlany, L C Toh, et al.Radiography (London, England : 1995)|February 14, 2020
A multi institutional comparison of imaging dose and technique protocols for neonatal chest radiographyC Gunn, K O'Brien, K Fosså, et al.Radiography (London, England : 1995)|November 23, 2020
The impact of COVID-19 upon student radiographers and clinical trainingL A Rainford, M Zanardo, C Buissink, et al.Radiography (London, England : 1995)|June 12, 2025
Professional challenges faced by student radiographers during COVID-19J P McNulty, M Zarnado M, C Buissink, et al.Pageof 1