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32. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers. Issue 7 (13th June 2018)

34. Multicenter CT phantoms public dataset for radiomics reproducibility tests. Issue 3 (29th January 2019)

37. Predicting outcomes in anal cancer patients using multi-centre data and distributed learning – A proof-of-concept study. (June 2021)

39. Sensitivity of radiomic features to inter-observer variability and image pre-processing in Apparent Diffusion Coefficient (ADC) maps of cervix cancer patients. (February 2020)