Shahabedin Nabavi

According to our database, Shahabedin Nabavi authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

GENRE-CMR: Generalizable Deep Learning for Diverse Multi-Domain Cardiac MRI Reconstruction.

Kian Anvari Hamedani, Narges Razizadeh, Shahabedin Nabavi, Mohsen Ebrahimi Moghaddam

CoRR, August, 2025

FractMorph: A Fractional Fourier-Based Multi-Domain Transformer for Deformable Image Registration.

Shayan Kebriti, Shahabedin Nabavi, Ali Gooya

CoRR, August, 2025

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

Intell. Syst. Appl., 2025

2024

Stacked cross-modal feature consolidation attention networks for image captioning.

Mozhgan Pourkeshavarz, Shahabedin Nabavi, Mohsen Ebrahimi Moghaddam, Mehrnoush Shamsfard

Multim. Tools Appl., January, 2024

An All-in-One Approach for Accelerated Cardiac MRI Reconstruction.

Kian Anvari Hamedani, Narges Razizadeh, Shahabedin Nabavi, Mohsen Ebrahimi Moghaddam

Proceedings of the Statistical Atlases and Computational Models of the Heart. Workshop, 2024

Chaotic Convolutional Long Short-Term Memory Network for Respiratory Motion Prediction.

Narges Ghasemi, Shahabedin Nabavi, Mohsen Ebrahimi Moghaddam, Yasser Shekofteh

Proceedings of the 4th International Conference on Image Processing and Vision Engineering, 2024

2023

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., December, 2023

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

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