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Differential Privacy Preserved Federated Learning for Prognostic Modeling in COVID-19 Patients Using Large Multi-Institutional Chest CT Dataset

Isaac Shiri,Yazdan Salimi,Nasim Sirjani,Behrooz Razeghi,Sara Bagherieh,Masoumeh Pakbin,Zahra Mansouri,Ghasem Hajianfar,Atlas Haddadi Avval,Dariush Askari,Mohammadreza Ghasemian,Saleh Sandoughdaran,Ahmad Sohrabi,Elham Sadati,Somayeh Livani,Pooya Iranpour,Shahriar Kolahi,Bardia Khosravi,Salar Bijari, Sahar Sayfollahi,Mohammad Reza Atashzar,Mohammad Hasanian,Alireza Shahhamzeh,Arash Teimouri,Neda Goharpey,Hesamaddin Shirzad-Aski,Jalal Karimi,Amir Reza Radmard,Kiara Rezaei-Kalantari,Mostafa Ghelich Oghli,Mehrdad Oveisi,Alireza Vafaei Sadr,Slava Voloshynovskiy,Habib Zaidi

MEDICAL PHYSICS（2024）

Cited 2|Views23
Key words
COVID-19,CT,deep learning,federated learning,privacy,prognosis
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