| Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network A Abbas, MM Abdelsamea, MM Gaber arXiv preprint arXiv:2003.13815, 2020 | 110 | 2020 |
| Image-based plant phenotyping with incremental learning and active contours M Minervini, MM Abdelsamea, SA Tsaftaris Ecological Informatics 23, 35-48, 2014 | 102 | 2014 |
| An efficient Self-Organizing Active Contour model for image segmentation MM Abdelsamea, G Gnecco, MM Gaber Neurocomputing 149, 820-835, 2015 | 52 | 2015 |
| An automatic seeded region growing for 2d biomedical image segmentation MM Abdelsamea arXiv preprint arXiv:1412.3958, 2014 | 25 | 2014 |
| Active contour model driven by globally signed region pressure force MM Abdelsamea, SA Tsaftaris 2013 18th International Conference on Digital Signal Processing (DSP), 1-6, 2013 | 23 | 2013 |
| A SOM-based Chan–Vese model for unsupervised image segmentation MM Abdelsamea, G Gnecco, MM Gaber Soft Computing 21 (8), 2047-2067, 2017 | 22 | 2017 |
| A concurrent SOM-based Chan-Vese model for image segmentation MM Abdelsamea, G Gnecco, MM Gaber Advances in Self-Organizing Maps and Learning Vector Quantization, 199-208, 2014 | 20 | 2014 |
| Detrac: Transfer learning of class decomposed medical images in convolutional neural networks A Abbas, MM Abdelsamea, MM Gaber IEEE Access 8, 74901-74913, 2020 | 16 | 2020 |
| A novel autonomous perceptron model for pattern classification applications A Sagheer, M Zidan, MM Abdelsamea Entropy 21 (8), 763, 2019 | 15 | 2019 |
| A Survey of SOM-Based Active Contour Models for Image Segmentation MM Abdelsamea, G Gnecco, MM Gaber Advances in Self-Organizing Maps and Learning Vector Quantization, 293-302, 2014 | 15 | 2014 |
| Artificial intelligence in digital breast pathology: Techniques and applications A Ibrahim, P Gamble, R Jaroensri, MM Abdelsamea, CH Mermel, ... The Breast 49, 267-273, 2020 | 12 | 2020 |
| Robust local–global SOM-based ACM MM Abdelsamea, G Gnecco Electronics Letters 51 (2), 142-143, 2015 | 12 | 2015 |
| A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer MM Abdelsamea, A Pitiot, RB Grineviciute, J Besusparis, A Laurinavicius, ... Expert Systems with Applications 118, 539-552, 2019 | 10 | 2019 |
| An enhancement neighborhood connected segmentation for 2D-cellular image MM Abdelsamea arXiv preprint arXiv:1407.3664, 2014 | 9 | 2014 |
| An efficient clustering based texture feature extraction for medical image MH Mohamed, MM Abdelsamea 2008 11th International Conference on Computer and Information Technology, 88-93, 2008 | 9 | 2008 |
| Learning transformations for automated classification of manifestation of tuberculosis using convolutional neural network A Abbas, MM Abdelsamea 2018 13th International Conference on Computer Engineering and Systems …, 2018 | 8 | 2018 |
| On the relationship between variational level set-based and som-based active contours MM Abdelsamea, G Gnecco, MM Gaber, E Elyan Computational intelligence and neuroscience 2015, 2015 | 8 | 2015 |
| Automated classification of malignant and benign breast cancer lesions using neural networks on digitized mammograms MM Abdelsamea, MH Mohamed, M Bamatraf Cancer informatics 18, 1176935119857570, 2019 | 5 | 2019 |
| 4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection A Abbas, MM Abdelsamea, M Gaber arXiv preprint arXiv:2007.11450, 2020 | 4 | 2020 |
| A semi-automated system based on level sets and invariant spatial interrelation shape features for Caenorhabditis elegans phenotypes MM Abdelsamea Journal of Visual Communication and Image Representation 41, 314-323, 2016 | 4 | 2016 |
Mohamed Medhat GaberProfessor in Data Analytics, Birmingham City University, and Galala UniversityVerified email at bcu.ac.uk
