The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions. - Arash Heidari; Nima Jafari Navimipour; Mehmet Unal; Shiva Toumaj (Comput. Biol. Medicine, 2022)

A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain. - Arash Heidari; Shiva Toumaj; Nima Jafari Navimipour; Mehmet Unal (Comput. Biol. Medicine, 2022)

Machine learning applications for COVID-19 outbreak management. - Arash Heidari; Nima Jafari Navimipour; Mehmet Unal; Shiva Toumaj (Neural Comput. Appl., 2022)

A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems. - Arash Heidari; Danial Javaheri; Shiva Toumaj; Nima Jafari Navimipour; Mahsa Rezaei; Mehmet Unal (Artif. Intell. Medicine, 2023)

The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things. - Sarina Aminizadeh; Arash Heidari; Shiva Toumaj; Mehdi Darbandi; Nima Jafari Navimipour; Mahsa Rezaei; Samira Talebi; Poupak Azad; Mehmet Unal (Comput. Methods Programs Biomed., 2023)

Opportunities and challenges of artificial intelligence and distributed systems to improve the quality of healthcare service. - Sarina Aminizadeh; Arash Heidari; Mahshid Dehghan; Shiva Toumaj; Mahsa Rezaei; Nima Jafari Navimipour; Fabio Stroppa; Mehmet Unal (Artif. Intell. Medicine, 2024)

Leveraging explainable artificial intelligence for transparent and trustworthy cancer detection systems. - Shiva Toumaj; Arash Heidari; Nima Jafari Navimipour (Artif. Intell. Medicine, 2025)

Neurodegenerative disorders: A Holistic study of the explainable artificial intelligence applications. - Hongyuan Wang; Shiva Toumaj; Arash Heidari; Alireza Souri; Nima Jafari; Yiping Jiang (Eng. Appl. Artif. Intell., 2025)

Applications of deep learning in Alzheimer's disease: a systematic literature review of current trends, methodologies, challenges, innovations, and future directions. - Shiva Toumaj; Arash Heidari; Reza Shah-Hosseini; Nima Jafari Navimipour (Artif. Intell. Rev., 2025)