Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks. - Ali Abbasian Ardakani; Alireza Rajabzadeh Kanafi; U. Rajendra Acharya; Nazanin Khadem; Afshin Mohammadi (Comput. Biol. Medicine, 2020)

Diagnosis of carpal tunnel syndrome: A comparative study of shear wave elastography, morphometry and artificial intelligence techniques. - Ali Abbasian Ardakani; Ahmadreza Afshar; Shweta Bhatt; Nathalie J. Bureau; Aylin Tahmasebi; U. Rajendra Acharya; Afshin Mohammadi (Pattern Recognit. Lett., 2020)

A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study. - Ali Abbasian Ardakani; Robert M. Kwee; Mohammad Mirza-Aghazadeh-Attari; Horacio Matías Castro; Taha Yusuf Kuzan; Kübra Murzoglu Altintoprak; Giulia Besutti; Filippo Monelli; Fariborz Faeghi; U. Rajendra Acharya; Afshin Mohammadi (Pattern Recognit. Lett., 2021)

Interpretation of radiomics features-A pictorial review. - Ali Abbasian Ardakani; Nathalie J. Bureau; Edward J. Ciaccio; U. Rajendra Acharya (Comput. Methods Programs Biomed., 2022)

An open-access breast lesion ultrasound image database‏: Applicable in artificial intelligence studies. - Ali Abbasian Ardakani; Afshin Mohammadi; Mohammad Mirza-Aghazadeh-Attari; U. Rajendra Acharya (Comput. Biol. Medicine, 2023)

Automated detection of scaphoid fractures using deep neural networks in radiographs. - Amanpreet Singh; Ali Abbasian Ardakani; Hui Wen Loh; P. V. Anamika; U. Rajendra Acharya; Sidharth Kamath; Anil K. Bhat (Eng. Appl. Artif. Intell., 2023)

Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis. - Ali Abbasian Ardakani; Afshin Mohammadi; Fariborz Faeghi; U. Rajendra Acharya (Int. J. Imaging Syst. Technol., 2023)