Refaat E Gabr

Automated patient‐specific optimization of three‐dimensional double‐inversion recovery magnetic resonance imaging

Amol S Pednekar, Refaat E Gabr, Xiaojun Sun, 2016, Magnetic resonance in medicine.

Deconvolution‐interpolation gridding (DING): Accurate reconstruction for arbitrary k‐space trajectories

Yasser M Kadah, Paul A Bottomley, Refaat E Gabr, 2006, Magnetic resonance in medicine.

Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosis

Refaat E Gabr, Ponnada A Narayana, Ivan Coronado, 2020, Multiple sclerosis.

Quantifying in vivo MR spectra with circles.

Paul A Bottomley, Refaat E Gabr, Ronald Ouwerkerk, 2006, Journal of magnetic resonance.

Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks

Arash Kamali, Refaat E Gabr, Ponnada A Narayana, 2019, Journal of magnetic resonance imaging : JMRI.

Deep‐Learning‐Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size

Refaat E Gabr, Ponnada A Narayana, Ivan Coronado, 2020, Journal of magnetic resonance imaging : JMRI.

Brain and lesion segmentation in multiple sclerosis using fully convolutional neural networks: A large-scale study

Refaat E Gabr, Xiaojun Sun, Ponnada A Narayana, 2020, Multiple sclerosis.

MRI dynamic range and its compatibility with signal transmission media.

Michael Schär, Paul A Bottomley, William A Edelstein, 2009, Journal of magnetic resonance.

Spectroscopy with linear algebraic modeling (SLAM): speed and quantification in brain tumor studies.

Paul A Bottomley, Yi Zhang, Jinyuan Zhou, 2013, Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.

Magnetic resonance Spectroscopy with Linear Algebraic Modeling (SLAM) for higher speed and sensitivity.

Michael Schär, Paul A Bottomley, Yi Zhang, 2012, Journal of magnetic resonance.

Deep Learning for Predicting Enhancing Lesions in Multiple Sclerosis from Noncontrast MRI.

Refaat E Gabr, Ponnada A Narayana, Ivan Coronado, 2019, Radiology.

Are multi-contrast magnetic resonance images necessary for segmenting multiple sclerosis brains? A large cohort study based on deep learning.

Refaat E Gabr, Xiaojun Sun, Ponnada A Narayana, 2020, Magnetic resonance imaging.

Interleaved susceptibility‐weighted and FLAIR MRI for imaging lesion‐penetrating veins in multiple sclerosis

Arash Kamali, Amol S Pednekar, Refaat E Gabr, 2018, Magnetic resonance in medicine.

On restoring motion‐induced signal loss in single‐voxel magnetic resonance spectra

Michael Schär, Paul A Bottomley, Robert G Weiss, 2006, Magnetic resonance in medicine.

Optimal combination of FLAIR and T2‐weighted MRI for improved lesion contrast in multiple sclerosis

Khader M Hasan, Refaat E Gabr, Ponnada A Narayana, 2016, Journal of magnetic resonance imaging : JMRI.

Highly-accelerated quantitative 2D and 3D localized spectroscopy with linear algebraic modeling (SLAM) and sensitivity encoding.

Paul A Bottomley, Yi Zhang, Jinyuan Zhou, 2013, Journal of magnetic resonance.