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HARVARD Citation
Motley, R. et al. (2022). A feasibility study on the development and use of a deep learning model to automate real-time monitoring of tumor position and assessment of interfraction fiducial marker migration in prostate radiotherapy patients**Deep Learning Fiducial Marker Localisation.. Biomedical physics & engineering express. p. . [Online].