Mostafa Salem
Mostafa Salem
PhD in Medical Image Analysis at University of Girona, Spain, Assistant Professor, Department of
Verified email at aun.edu.eg - Homepage
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Cited by
Cited by
Year
Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge
S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ...
arXiv preprint arXiv:1811.02629, 2018
4752018
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks
S Valverde, M Salem, M Cabezas, D Pareto, JC Vilanova, ...
NeuroImage: Clinical 21, 101638, 2019
422019
A supervised framework with intensity subtraction and deformation field features for the detection of new T2-w lesions in multiple sclerosis
M Salem, M Cabezas, S Valverde, D Pareto, A Oliver, J Salvi, À Rovira, ...
NeuroImage: Clinical 17, 607-615, 2018
302018
Projector calibration using passive stereo and triangulation
YB Mahdy, KF Hussain, MA Abdel-Majid
International Journal of Future Computer and Communication 2 (5), 385, 2013
272013
Multiple Sclerosis Lesion Synthesis in MRI Using an Encoder-Decoder U-NET
M Salem, S Valverde, M Cabezas, D Pareto, A Oliver, J Salvi, À Rovira, ...
IEEE Access 7, 25171 - 25184, 2019
202019
Survival prediction using ensemble tumor segmentation and transfer learning
M Cabezas, S Valverde, S González-Villà, A Clérigues, M Salem, ...
arXiv preprint arXiv:1810.04274, 2018
122018
A fully convolutional neural network for new T2-w lesion detection in multiple sclerosis
M Salem, S Valverde, M Cabezas, D Pareto, A Oliver, J Salvi, À Rovira, ...
NeuroImage: Clinical 25, 102149, 2020
82020
MR brain segmentation using an ensemble of multi-path u-shaped convolutional neural networks and tissue segmentation priors
J Bernal, M Salem, K Kushibar, A Clèrigues, S Valverde, M Cabezas, ...
Accessed: Feb 20, 2019, 2018
12018
Transductive Transfer Learning for Domain Adaptation in Brain Magnetic Resonance Image Segmentation
K Kushibar, M Salem, S Valverde, À Rovira, J Salvi, A Oliver, X Lladó
Frontiers in Neuroscience 15, 444, 2021
2021
Deep learning methods for automated detection of new multiple sclerosis lesions in longitudinal magnetic resonance images
M Salem
Universitat de Girona, 2020
2020
Lesion synthesis for extending MRI training datasets and improving automatic multiple sclerosis lesion segmentation
M Salem, S Valverde, M Cabezas, D Pareto, A Oliver, J Salvi, A Rovira, ...
MULTIPLE SCLEROSIS JOURNAL 25, 463-463, 2019
2019
Detecting the appearance of new T2-w multiple sclerosis lesions in longitudinal studies using deep convolutional neural networks
M Salem, S Valverde, M Cabezas, D Pareto, A Oliver, J Salvi, A Rovira, ...
MULTIPLE SCLEROSIS JOURNAL 25, 462-463, 2019
2019
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks
S Valverde Valverde, M Salem, M Cabezas Grebol, D Pareto, ...
NeuroImage: Clinical, 2019, vol. 21, p. 101638, 2019
2019
Detección automática de lesiones activas en esclerosis múltiple usando substracción de imágenes y campos de deformación
M Salem, S Valverde, M Cabezas, D Pareto, A Oliver, J Salvi, A Rovira, ...
Seram, 2018
2018
Manual delineation of only one image in unseen databases is sufficient for accurate performance in automated multiple sclerosis lesion segmentation
S Valverde, M Salem, M Cabezas, D Pareto, JC Vilanova, ...
Multiple Sclerosis Journal 24 (S2), 121-327, 2018
2018
Detección supervisada de lesiones activas de esclerosis múltiple usando substracción de imágenes y campos de deformación
M Salem, M Cabezas, S Valverde, J Salvi, À Rovira, X Lladó
Congreso Nacional Sociedad Española de Radiología Médica (SERAM), 2018
2018
Supervised detection of newly appearing T2-w multiple sclerosis lesions with subtraction and deformation fields features
M Salem, M Cabezas, S Valverde, D Pareto, A Oliver, J Salvi, À Rovira, ...
MULTIPLE SCLEROSIS JOURNAL 23, 794-794, 2017
2017
White matter hyperintensities segmentation using a cascade of three convolutional neural networks
XL S. Valverde, M.Cabezas, J. Bernal, K. Kushibar, S. González-Villà, M ...
MICCAI Grand Challenge on White Matter Hyperintensties Segmentation. MICCAI …, 2017
2017
Six-month infant brain tissue segmentation using three dimensional fully convolutional neural networks and pseudo-labelling
XL J. Bernal, K. Kushibar, S. Valverde, M.Cabezas, S. González-Villà, M ...
MICCAI Grand Challenge on 6-month infant brain MRI segmentation iSeg-2017 …, 2017
2017
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Articles 1–19