Deep learning approaches for automated classification and segmentation of head and neck cancers and brain tumors in magnetic resonance images: a meta-analysis study. - Samireh Badrigilan; Shahabedin Nabavi; Ahmad Ali Abin; Nima Rostampour; Iraj Abedi; Atefeh Shirvani; Mohsen Ebrahimi Moghaddam (Int. J. Comput. Assist. Radiol. Surg., 2021)

A High-Resolution Chest CT-Scan Image Dataset for COVID-19 Diagnosis and Differentiation. - Iraj Abedi; Mahsa Vali; Bentolhoda Otroshi Shahreza; Hamidreza Bolhasani (CoRR, 2022)

CHMMOTv1 - Cardiac and Hepatic Multi-Echo (T2*) MRI Images and Clinical Dataset for Iron Overload on Thalassemia Patients. - Iraj Abedi; Maryam Zamanian; Hamidreza Bolhasani; Milad Jalilian (CoRR, 2023)

Diagnostic Accuracy of PET with Different Radiotracers versus Bone Scintigraphy for Detecting Bone Metastases of Breast Cancer: A Systematic Review and a Meta-Analysis. - Maryam Zamanian; Giorgio Treglia; Iraj Abedi (J. Imaging, 2023)

Auto-Segmentation and Classification of Glioma Tumors with the Goals of Treatment Response Assessment Using Deep Learning Based on Magnetic Resonance Imaging. - Zahra Papi; Sina Fathi; Fatemeh Dalvand; Mahsa Vali; Ali Yousefi; Mohammad Hemmatyar Tabatabaei; Alireza Amouheidari; Iraj Abedi (Neuroinformatics, 2023)

Post-chemo-radiotherapy response and pseudo-progression evaluation on glioma cell types by multi-parametric magnetic resonance imaging: a prospective study. - Maryam Zamanian; Iraj Abedi; Fatemeh Danazadeh; Alireza Amouheidari; Bentolhoda Otroshi Shahreza (BMC Medical Imaging, 2023)