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)

Medical imaging and computational image analysis in COVID-19 diagnosis: A review. - Shahabedin Nabavi; Azar Ejmalian; Mohsen Ebrahimi Moghaddam; Ahmad Ali Abin; Alejandro F. Frangi; Mohammad Mohammadi; Hamidreza Saligheh Rad (Comput. Biol. Medicine, 2021)

A generalised deep meta-learning model for automated quality control of cardiovascular magnetic resonance images. - Shahabedin Nabavi; Hossein Simchi; Mohsen Ebrahimi Moghaddam; Ahmad Ali Abin; Alejandro F. Frangi (Comput. Methods Programs Biomed., 2023)

Chaotic Convolutional Long Short-Term Memory Network for Respiratory Motion Prediction. - Narges Ghasemi; Shahabedin Nabavi; Mohsen Ebrahimi Moghaddam; Yasser Shekofteh (IMPROVE, 2024)

An All-in-One Approach for Accelerated Cardiac MRI Reconstruction. - Kian Anvari Hamedani; Narges Razizadeh; Shahabedin Nabavi; Mohsen Ebrahimi Moghaddam (CMRxRecon/MBAS/STACOM@MICCAI, 2024)

Stacked cross-modal feature consolidation attention networks for image captioning. - Mozhgan Pourkeshavarz; Shahabedin Nabavi; Mohsen Ebrahimi Moghaddam; Mehrnoush Shamsfard (Multim. Tools Appl., 2024)

Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications. - Mahya Nikouei; Bita Baroutian; Shahabedin Nabavi; Fateme Taraghi; Atefe Aghaei; Ayoob Sajedi; Mohsen Ebrahimi Moghaddam (CoRR, 2025)