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COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients Shiri Lord, Isaac; Salimi, Yazdan; Pakbin, Masoumeh; Hajianfar, Ghasem; ... Zaidi, Habib 2022
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Deep learning-based denoising of low-dose SPECT myocardial perfusion images: quantitative assessment and clinical performance Aghakhan Olia, Narges; Kamali-Asl, Alireza; Hariri Tabrizi, Sanaz; Geramifar, Parham; ... Zaidi, Habib 2022
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Machine Learning-based Prognostic Modeling using Clinical Data and Quantitative Radiomic Features from Chest CT Images in COVID-19 Patients Shiri Lord, Isaac; Sorouri, Majid; Geramifar, Parham; Nazari, Mostafa; ... Zaidi, Habib 2021
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Repeatability of radiomic features in magnetic resonance imaging of glioblastoma: test-retest and image registration analyses Shiri Lord, Isaac; Hajianfar, Ghasem; Sohrabi, Ahmad; Abdollahi, Hamid; ... Rahmim, Arman 2020
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Deep-JASC: joint attenuation and scatter correction in whole-body 18F-FDG PET using a deep residual network Shiri Lord, Isaac; Arabi, Hossein; Geramifar, Parham; Hajianfar, Ghasem; ... Zaidi, Habib 2020
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NEMA NU-4 2008 Performance Evaluation of Xtrim-PET: A prototype SiPM-based preclinical scanner Amirrashedi, Mahsa; Sarkar, Saeed; Ghafarian, Pardis; Shahraki, Reza Hashemi; ... Ay, Mohammad Reza 2019
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Evaluating the Application of Tissue-Specific Dose Kernels Instead of Water Dose Kernels in Internal Dosimetry: A Monte Carlo Study Khazaee Moghadam, Maryam; Kamali Asl, Alireza; Geramifar, Parham; Zaidi, Habib 2016