Refaat E. Gabr
Biogen (United States)(US)
Publications by Year
Research Areas
Advanced MRI Techniques and Applications, Multiple Sclerosis Research Studies, Medical Imaging Techniques and Applications, Advanced Neuroimaging Techniques and Applications, Ultrasound Imaging and Elastography
Most-Cited Works
- → Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRI(2019)117 cited
- → Brain and lesion segmentation in multiple sclerosis using fully convolutional neural networks: A large-scale study(2019)87 cited
- → Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks(2019)71 cited
- → Deep‐Learning‐Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size(2019)56 cited
- → On restoring motion‐induced signal loss in single‐voxel magnetic resonance spectra(2006)53 cited
- → Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosis(2020)47 cited
- → Ongoing Secondary Degeneration of the Limbic System in Patients With Ischemic Stroke: A Longitudinal MRI Study(2019)44 cited
- → Cardiac work is related to creatine kinase energy supply in human heart failure: a cardiovascular magnetic resonance spectroscopy study(2018)44 cited
- → Magnetic resonance Spectroscopy with Linear Algebraic Modeling (SLAM) for higher speed and sensitivity(2012)39 cited
- → High-energy phosphate transfer in human muscle: diffusion of phosphocreatine(2011)39 cited