8 papers
Towards Modality- and Sampling-Universal Learning Strategies for Accelerating Cardiovascular Imaging: Summary of the CMRxRecon2024 Challenge
Fanwen Wang, Zi Wang, Yan Li +60
Cardiovascular health is vital to human well-being, and cardiac magnetic resonance (CMR) imaging is considered the {clinical reference standard} for diagnosing cardiovascular disea…
GENRE-CMR: Generalizable Deep Learning for Diverse Multi-Domain Cardiac MRI Reconstruction
Kian Anvari Hamedani, Narges Razizadeh, Shahabedin Nabavi +1
Accelerated Cardiovascular Magnetic Resonance (CMR) image reconstruction remains a critical challenge due to the trade-off between scan time and image quality, particularly when ge…
FractMorph: A Fractional Fourier-Based Multi-Domain Transformer for Deformable Image Registration
Shayan Kebriti, Shahabedin Nabavi, Ali Gooya
Deformable image registration (DIR) is a crucial and challenging technique for aligning anatomical structures in medical images and is widely applied in diverse clinical applicatio…
Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications
Mahya Nikouei, Bita Baroutian, Shahabedin Nabavi +4
Small object detection (SOD) is a critical yet challenging task in computer vision, with applications like spanning surveillance, autonomous systems, medical imaging, and remote se…
Prognostic Model for Idiopathic Pulmonary Fibrosis Using Context-Aware Sequential-Parallel Hybrid Transformer and Enriched Clinical Information
Mahdie Dolatabadi, Shahabedin Nabavi, Mohsen Ebrahimi Moghaddam
Idiopathic pulmonary fibrosis (IPF) is a progressive disease that irreversibly transforms lung tissue into rigid fibrotic structures, leading to debilitating symptoms such as short…
An All-in-one Approach for Accelerated Cardiac MRI Reconstruction
Kian Anvari Hamedani, Narges Razizadeh, Shahabedin Nabavi +1
Cardiovascular magnetic resonance (CMR) imaging is the gold standard for diagnosing several heart diseases due to its non-invasive nature and proper contrast. MR imaging is time-co…