Mohammed Abdelsamea
Mohammed Abdelsamea
Senior Lecturer, Exeter University, UK
Verified email at - Homepage
Cited by
Cited by
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
A Abbas, MM Abdelsamea, MM Gaber
Applied Intelligence 51, 854-864, 2021
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
Image-based plant phenotyping with incremental learning and active contours
M Minervini, MM Abdelsamea, SA Tsaftaris
Ecological Informatics 23, 35-48, 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
A novel autonomous perceptron model for pattern classification applications
A Sagheer, M Zidan, MM Abdelsamea
Entropy 21 (8), 763, 2019
4S-DT: Self-supervised super sample decomposition for transfer learning with application to COVID-19 detection
A Abbas, MM Abdelsamea, MM Gaber
IEEE Transactions on Neural Networks and Learning Systems 32 (7), 2798-2808, 2021
An efficient Self-Organizing Active Contour model for image segmentation
MM Abdelsamea, G Gnecco, MM Gaber
Neurocomputing 149, 820-835, 2015
MCUa: Multi-level context and uncertainty aware dynamic deep ensemble for breast cancer histology image classification
Z Senousy, MM Abdelsamea, MM Gaber, M Abdar, UR Acharya, ...
IEEE Transactions on Biomedical Engineering 69 (2), 818-829, 2021
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
A survey on artificial intelligence in histopathology image analysis
MM Abdelsamea, U Zidan, Z Senousy, MM Gaber, E Rakha, M Ilyas
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12 (6 …, 2022
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
A SOM-based Chan–Vese model for unsupervised image segmentation
MM Abdelsamea, G Gnecco, M Medhat Gaber
Soft Computing 21, 2047-2067, 2017
An automatic seeded region growing for 2d biomedical image segmentation
MM Abdelsamea
arXiv preprint arXiv:1412.3958, 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
3E-Net: Entropy-based elastic ensemble of deep convolutional neural networks for grading of invasive breast carcinoma histopathological microscopic images
Z Senousy, MM Abdelsamea, MM Mohamed, MM Gaber
Entropy 23 (5), 620, 2021
Swincup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer
U Zidan, MM Gaber, MM Abdelsamea
Expert Systems with Applications 216, 119452, 2023
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 …, 2014
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
Predicting the economic impact of the COVID-19 pandemic in the United Kingdom using time-series mining
A Rakha, H Hettiarachchi, D Rady, MM Gaber, E Rakha, MM Abdelsamea
Economies 9 (4), 137, 2021
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 …, 2014
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