Items where Author is "Gaber, Mohamed Medhat"
Number of items: 16. AbAbdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat An efficient Self-Organizing Active Contour model for image segmentation. Neurocomputing, 149 (Part B). 820 - 835. ISSN 0925-2312 (2015) Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat and Elyan, Eyad On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. Computational Intelligence and Neuroscience, 2015 (109029). ISSN 1687-5265 (2015) Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat A SOM-based Chan–Vese model for unsupervised image segmentation. Soft Computing. A Fusion of Foundations, Methodologies and Applications. pp. 1-21. ISSN 1432-7643 (In Press) (2015) Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat A Concurrent SOM-Based Chan-Vese Model for Image Segmentation. In: Advances in Self-Organizing Maps and Learning Vector Quantization. Advances in Intelligent Systems and Computing, 295 . Springer, pp. 199-208. ISBN 978-3-319-07694-2 (2014) Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat A Survey of SOM-Based Active Contour Models for Image Segmentation. In: Advances in Self-Organizing Maps and Learning Vector Quantization. Advances in Intelligent Systems and Computing (295). Springer, pp. 293-302. ISBN 978-3-319-07695-9 (2014) ElAbdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat and Elyan, Eyad On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. Computational Intelligence and Neuroscience, 2015 (109029). ISSN 1687-5265 (2015) GaAbdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat An efficient Self-Organizing Active Contour model for image segmentation. Neurocomputing, 149 (Part B). 820 - 835. ISSN 0925-2312 (2015) Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat and Elyan, Eyad On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. Computational Intelligence and Neuroscience, 2015 (109029). ISSN 1687-5265 (2015) Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat A SOM-based Chan–Vese model for unsupervised image segmentation. Soft Computing. A Fusion of Foundations, Methodologies and Applications. pp. 1-21. ISSN 1432-7643 (In Press) (2015) Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat A Concurrent SOM-Based Chan-Vese Model for Image Segmentation. In: Advances in Self-Organizing Maps and Learning Vector Quantization. Advances in Intelligent Systems and Computing, 295 . Springer, pp. 199-208. ISBN 978-3-319-07694-2 (2014) Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat A Survey of SOM-Based Active Contour Models for Image Segmentation. In: Advances in Self-Organizing Maps and Learning Vector Quantization. Advances in Intelligent Systems and Computing (295). Springer, pp. 293-302. ISBN 978-3-319-07695-9 (2014) GnAbdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat An efficient Self-Organizing Active Contour model for image segmentation. Neurocomputing, 149 (Part B). 820 - 835. ISSN 0925-2312 (2015) Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat and Elyan, Eyad On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. Computational Intelligence and Neuroscience, 2015 (109029). ISSN 1687-5265 (2015) Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat A SOM-based Chan–Vese model for unsupervised image segmentation. Soft Computing. A Fusion of Foundations, Methodologies and Applications. pp. 1-21. ISSN 1432-7643 (In Press) (2015) Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat A Concurrent SOM-Based Chan-Vese Model for Image Segmentation. In: Advances in Self-Organizing Maps and Learning Vector Quantization. Advances in Intelligent Systems and Computing, 295 . Springer, pp. 199-208. ISBN 978-3-319-07694-2 (2014) Abdelsamea, Mohammed and Gnecco, Giorgio and Gaber, Mohamed Medhat A Survey of SOM-Based Active Contour Models for Image Segmentation. In: Advances in Self-Organizing Maps and Learning Vector Quantization. Advances in Intelligent Systems and Computing (295). Springer, pp. 293-302. ISBN 978-3-319-07695-9 (2014) |
