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2. Improved outcome prediction of oropharyngeal cancer by combining clinical and MRI features in machine learning models. Issue 139 (June 2021)

3. Largest diameter delineations can substitute 3D tumor volume delineations for radiomics prediction of human papillomavirus status on MRI's of oropharyngeal cancer. (September 2022)

4. Simple delineations cannot substitute full 3d tumor delineations for MR-based radiomics prediction of locoregional control in oropharyngeal cancer. Issue 148 (March 2022)