Selected Publications


Haider, S.P., Sharaf, K., Zeevi, T., Baumeister, P., Reichel, C., Forghani, R., Kann, B.H., Petukhova, A., Judson, B.L., Prasad, M.L., Liu, C., Burtness, B., Mahajan, A., Payabvash, S., 2021. Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics. Translational Oncology, 14. doi:/10.1016/j.tranon.2020.100906


Haider, S.P., Zeevi, T., Baumeister, P., Reichel, C., Sharaf, K., Forghani, R., Kann, B.H., Judson, B.L., Prasad, M.L., Burtness, B., Mahajan, A., Payabvash, S., 2020. Potential Added Value of PET/CT Radiomics for Survival Prognostication beyond AJCC 8th Edition Staging in Oropharyngeal Squamous Cell Carcinoma. Cancers, 12(1778). doi:10.3390/cancers12071778

Haider, S. P., Burtness, B., Yarbrough, W. G., & Payabvash, S. (2020). Applications of radiomics in precision diagnosis, prognostication and treatment planning of head and neck squamous cell carcinomas. Cancers of the Head & Neck, 5(1). doi:10.1186/s41199-020-00053-7

Payabvash, S., Aboian, M., Tihan, T., Cha, S., 2020. Machine Learning Decision Tree Models for Differentiation of Posterior Fossa Tumors Using Diffusion Histogram Analysis and Structural MRI Findings. Frontiers in Oncology. doi:10.3389/fonc.2020.00071

Haider SP, Mahajan A, Zeevi T, et al. PET/CT radiomics signature of human papilloma virus association in oropharyngeal squamous cell carcinoma [published online ahead of print, 2020 May 12]. Eur J Nucl Med Mol Imaging. 2020;10.1007/s00259-020-04839-2. doi:10.1007/s00259-020-04839-2