N. Goharpey

Radiotherapy based management during Covid-19 pandemic – A systematic review of presented consensus and guidelines

Z. Siavashpour, Mosayyeb Mobasheri, N. Goharpey, 2021, Critical Reviews in Oncology/Hematology.

COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients

A. Saberi, A. Akhavanallaf, Y. Salimi, 2021, Computers in Biology and Medicine.

Correlation between gastric volume and organs at risk dose in adjuvant radiotherapy for left breast cancer

F. Zayeri, Hamid Reza Mirzai, L. Mohammadi, 2021, Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology.

Diagnosis of COVID-19 Using CT image Radiomics Features: A Comprehensive Machine Learning Study Involving 26,307 Patients

A. Rahmim, H. Zaidi, P. Geramifar, 2021, medRxiv.

Differentiation of COVID‐19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study

P. Geramifar, A. Saberi, A. Akhavanallaf, 2024, Int. J. Imaging Syst. Technol..

Differential privacy preserved federated learning for prognostic modeling in COVID-19 patients using large multi-institutional chest CT dataset.

Mostafa Ghelich Oghli, Y. Salimi, D. Askari, 2024, Medical Physics (Lancaster).