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 | 2061 | 2018 |
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 | 155 | 2019 |
One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks. NeuroImage Clin. 21, 101638 S Valverde, M Salem, M Cabezas, D Pareto, JC Vilanova, ... | 155* | 2018 |
A blockchain-based hybrid platform for multimedia data processing in IoT-Healthcare AI Taloba, A Elhadad, A Rayan, RM Abd El-Aziz, M Salem, AA Alzahrani, ... Alexandria Engineering Journal 65, 263-274, 2023 | 97 | 2023 |
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 | 75 | 2020 |
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 | 71 | 2018 |
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 | 67 | 2019 |
A novel approach to predicting the stability of the smart grid utilizing MLP-ELM technique A Alsirhani, MM Alshahrani, A Abukwaik, AI Taloba, RM Abd El-Aziz, ... Alexandria Engineering Journal 74, 495-508, 2023 | 41 | 2023 |
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 | 32 | 2013 |
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 | 31 | 2018 |
Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 29 | 2022 |
Utilizing CNN-LSTM techniques for the enhancement of medical systems A Rayan, AS Alaerjan, S Alanazi, AI Taloba, OR Shahin, M Salem Alexandria Engineering Journal 72, 323-338, 2023 | 26 | 2023 |
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, 608808, 2021 | 13 | 2021 |
Improving the detection of new lesion in multiple sclerosis with a cascaded 3D fully convolutional neural network approach M Salem, MA Ryan, A Oliver, KF Hussain, X Lladó Frontiers in Neuroscience, 1939, 2022 | 8 | 2022 |
An Efficient Indoor Localization Based on Deep Attention Learning Model AE Amr Abozeid, Ahmed I. Taloba, Rasha M. Abd El-Aziz, Alhanoof Faiz ... Computer Systems Science and Engineering 46, 2637--2650, 2023 | 4* | 2023 |
Evaluating the use of synthetic T1-w images in new T2 lesion detection in multiple sclerosis L Valencia, A Clèrigues, S Valverde, M Salem, A Oliver, À Rovira, X Lladó Frontiers in Neuroscience 16, 954662, 2022 | 4 | 2022 |
Deep learning methods for automated detection of new multiple sclerosis lesions in longitudinal magnetic resonance images M Salem Universitat de Girona, 2020 | 1 | 2020 |
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 | 1 | 2018 |
MSDetector: A fully convolutional neural network for the detection of new T2-w lesion in multiple sclerosis M Salem, A Oliver, J Salvi, X Lladó MSSEG-2 challenge proceedings: Multiple sclerosis new lesions segmentation …, 2021 | | 2021 |
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 |