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Orthopaedic Journal of Sports Medicine|March 7, 2025
Investigating Injuries to the Anterolateral Corner of the Knee: Imaging Insights Into Kaplan Fibers and the Anterolateral Ligament in Anterior Cruciate Ligament TearsMohammad Ayati Firoozabadi, Seyed Mohammad Javad Mortazavi, Madjid Shakiba, et al.
Plos One|December 8, 2023
Accuracy of artificial intelligence CT quantification in predicting COVID-19 subjects' prognosisArvin Arian, Mohammad-Mehdi Mehrabi Nejad, Mostafa Zoorpaikar, et al.
BMC Medical Research Methodology|March 28, 2024
Methodological insights into ChatGPT's screening performance in systematic reviewsMahbod Issaiy, Hossein Ghanaati, Shahriar Kolahi, et al.
European Radiology|January 15, 2021
Clinical and chest CT features as a predictive tool for COVID-19 clinical progress: introducing a novel semi-quantitative scoring systemFaeze Salahshour, Mohammad-Mehdi Mehrabinejad, Mohssen Nassiri Toosi, et al.
Seminars in Arthritis and Rheumatism|December 19, 2025
Diffuse idiopathic skeletal hyperostosis in the oncologic population: a cross-sectional analysis of 1053 patientsShahriar Kolahi, Madjid Shakiba, Shahryar Rahmani, et al.
Journal of Vascular and Interventional Radiology : JVIR|June 28, 2025
Genicular Artery Embolization Using Mesenchymal Stem Cells for the Treatment of Knee Osteoarthritis: A Prospective StudyHossein Ghanaati, Maedeh Rouzbahani, Jafar Golzarian, et al.
Scientific Reports|October 13, 2025
Structural and diffusion imaging in olfactory-related brain regions in Parkinson's disease: predictors of clinical progressionSeyyed Mohammad Hosseini, Ahmadreza Sohrabi-Ashlaghi, Shahriar Kolahi, et al.
Medical Physics|February 9, 2024
Differential privacy preserved federated learning for prognostic modeling in COVID-19 patients using large multi-institutional chest CT datasetIsaac Shiri, Yazdan Salimi, Nasim Sirjani, et al.
Computers in Biology and Medicine|April 4, 2022
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patientsIsaac Shiri, Yazdan Salimi, Masoumeh Pakbin, et al.
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