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Computer Methods and Programs in Biomedicine|January 6, 2022
Interpretation of radiomics features-A pictorial reviewAli Abbasian Ardakani, Nathalie J Bureau, Edward J Ciaccio, et al.Computers in Biology and Medicine|December 19, 2022
An open-access breast lesion ultrasound image database: Applicable in artificial intelligence studiesAli Abbasian Ardakani, Afshin Mohammadi, Mohammad Mirza-Aghazadeh-Attari, et al.Basic and Clinical Neuroscience|June 30, 2025
The Optimal Time for Postoperative Magnetic Resonance Imaging of the Sella in Patients With Pituitary AdenomaMohammad Ghorbani, Ehsan Keykhosravi, Mohammad Hasanpour, et al.Foot and Ankle Surgery : Official Journal of the European Society of Foot and Ankle Surgeons|October 17, 2018
Fractures of the anterior process of the calcaneum; a review and proposed treatment algorithmBaljinder S Dhinsa, Ahmed Latif, Roland Walker, et al.Computers in Biology and Medicine|June 23, 2020
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networksAli Abbasian Ardakani, Alireza Rajabzadeh Kanafi, U Rajendra Acharya, et al.Photodiagnosis and Photodynamic Therapy|December 16, 2021
Nonlinear optical response of cancer cells following conventional and nano-technology based treatment strategies: Results of chemo-, thermo- and radiation therapiesAlireza Ghader, Masume Behruzi, Mohammad Hossein Majles Ara, et al.Foot (Edinburgh, Scotland)|October 11, 2016
Correlation and comparison of syndesmosis dimension on CT and MRIFabian Wong, Rebecca Mills, Nadeem Mushtaq, et al.Magma (New York, N.Y.)|September 17, 2022
Radiomics-based machine-learning method to diagnose prostate cancer using mp-MRI: a comparison between conventional and fused modelsGhazaleh Jamshidi, Ali Abbasian Ardakani, Mahyar Ghafoori, et al.Journal of Clinical Ultrasound : JCU|November 20, 2023
AdaRes: A deep learning-based model for ultrasound image denoising: Results of image quality metrics, radiomics, artificial intelligence, and clinical studiesAli Abbasian Ardakani, Afshin Mohammadi, Thomas J Vogl, et al.BMC Cancer|July 3, 2025
Exploring the role of tumor to background parenchymal ratio of the [18F]FLT PET/CT measures in determining response to neoadjuvant chemotherapy in breast cancer: a multicenter studyAlisa Mohebbi, Fatemeh Asli, Saeed Mohammadzadeh, et al.Pageof 8