Morning Anxiety Detection Through Smartphone-Based Photoplethysmography Signals Analysis Using Machine Learning Methods. - Masoud Sistaninezhad; Ali Jafarizadeh; Saman Rajebi; Siamak Pedrammehr; Roohallah Alizadehsani; Juan Manuel Górriz (IWINAC, 2024)

Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina. - Yasin Sadeghi Bazargani; Majid Mirzaei; Navid Sobhi; Mirsaeed Abdollahi; Ali Jafarizadeh; Siamak Pedrammehr; Roohallah Alizadehsani; Ru-San Tan; Sheikh Mohammed Shariful Islam; U. Rajendra Acharya (CoRR, 2024)

Advancements in Radiomics and Artificial Intelligence for Thyroid Cancer Diagnosis. - Milad Yousefi; Shadi Farabi Maleki; Ali Jafarizadeh; Mahya Ahmadpour Youshanlui; Aida Jafari; Siamak Pedrammehr; Roohallah Alizadehsani; Ryszard Tadeusiewicz; Pawel Plawiak (CoRR, 2024)

Artificial intelligence in assessing cardiovascular diseases and risk factors via retinal fundus images: A review of the last decade. - Mirsaeed Abdollahi; Ali Jafarizadeh; Amirhosein Ghafouri Asbagh; Navid Sobhi; Keysan Pourmoghtader; Siamak Pedrammehr; Houshyar Asadi; Ru-San Tan; Roohallah Alizadehsani; U. Rajendra Acharya (WIREs Data. Mining. Knowl. Discov., 2024)

Artificial intelligence in stroke risk assessment and management via retinal imaging. - Parsa Khalafi; Soroush Morsali; Sana Hamidi; Hamidreza Ashayeri; Navid Sobhi; Siamak Pedrammehr; Ali Jafarizadeh (Frontiers Comput. Neurosci., 2025)

Current and future roles of artificial intelligence in retinopathy of prematurity. - Ali Jafarizadeh; Shadi Farabi Maleki; Parnia Pouya; Navid Sobhi; Mirsaeed Abdollahi; Siamak Pedrammehr; Chee Peng Lim; Houshyar Asadi; Roohallah Alizadehsani; Ru-San Tan; Sheikh Mohammed Shariful Islam; U. Rajendra Acharya (Artif. Intell. Rev., 2025)