Mohammed M. Abdelsamea

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 23

Top Topics

Convolutional Neural Networks

Active Contours

Seeded Region Growing

Top Venues

Expert Syst. Appl.

Publications

Suhaib Chughtai, Zakaria Senousy, Ahmed Mahany, Nouh Sabri Elmitwally, Khalid N. Ismail, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification. IEEE Open J. Comput. Soc. 5 (2024)
Abdullah Basaad, Shadi Basurra, Edlira Vakaj, Mohammed Aleskandarany, Mohammed M. Abdelsamea
GraphX-Net: A Graph Neural Network-Based Shapley Values for Predicting Breast Cancer Occurrence. IEEE Access 12 (2024)
Mohammed Almehdhar, Mohammed M. Abdelsamea, Na Ruan
Deep multi-locality convolutional neural network for DDoS detection in smart home IoT. Int. J. Inf. Comput. Secur. 22 (3/4) (2023)
Usama Zidan, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer. Expert Syst. Appl. 216 (2023)
Abiodun Ayantayo, Amrit Kaur, Anit Kour, Xavier Schmoor, Fayyaz Shah, Ian Vickers, Paul Kearney, Mohammed M. Abdelsamea
Network intrusion detection using feature fusion with deep learning. J. Big Data 10 (1) (2023)
Usama Zidan, Hamdy A. El Desouky, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
From Pixels to Deposits: Porphyry Mineralization With Multispectral Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Zakaria Senousy, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification. Appl. Soft Comput. 146 (2023)
Patryk Buczek, Usama Zidan, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
Idecomp: imbalance-aware decomposition for class-decomposed classification using conditional GANs. Discov. Artif. Intell. 3 (1) (2023)
Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification. Sensors 22 (24) (2022)
Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi
MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. IEEE Trans. Biomed. Eng. 69 (2) (2022)
Mohammed M. Abdelsamea, Usama Zidan, Zakaria Senousy, Mohamed Medhat Gaber, Emad Rakha, Mohammad Ilyas
A survey on artificial intelligence in histopathology image analysis. WIREs Data Mining Knowl. Discov. 12 (6) (2022)
Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi
MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. CoRR (2021)
Zakaria Senousy, Mohammed M. Abdelsamea, Mona Mostafa Mohamed, Mohamed Medhat Gaber
3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images. Entropy 23 (5) (2021)
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. Appl. Intell. 51 (2) (2021)
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection. IEEE Trans. Neural Networks Learn. Syst. 32 (7) (2021)
Nicole P. Mugova, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
On The Effect Of Decomposition Granularity On DeTraC For COVID-19 Detection Using Chest X-Ray Images. ECMS (2021)
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. CoRR (2020)
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection. CoRR (2020)
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks. IEEE Access 8 (2020)
Mohammed M. Abdelsamea, Alain Pitiot, Ruta Barbora Grineviciute, Justinas Besusparis, Arvydas Laurinavicius, Mohammad Ilyas
A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer. Expert Syst. Appl. 118 (2019)
Alaa El. Sagheer, Mohammed Zidan, Mohammed M. Abdelsamea
A Novel Autonomous Perceptron Model for Pattern Classification Applications. Entropy 21 (8) (2019)
Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
A SOM-based Chan-Vese model for unsupervised image segmentation. Soft Comput. 21 (8) (2017)
Mohammed M. Abdelsamea
A semi-automated system based on level sets and invariant spatial interrelation shape features for Caenorhabditis elegans phenotypes. J. Vis. Commun. Image Represent. 41 (2016)
Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
An efficient Self-Organizing Active Contour model for image segmentation. Neurocomputing 149 (2015)
Mohammed M. Abdelsamea
Regional Active Contours based on Variational level sets and Machine Learning for Image Segmentation. CoRR (2015)
Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber, Eyad Elyan
On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. Comput. Intell. Neurosci. 2015 (2015)
Mohammed M. Abdelsamea, Marghny H. Mohamed, Mohamed Bamatraf
An Effective Image Feature Classiffication using an improved SOM. CoRR (2015)
Mohammed M. Abdelsamea
An Automatic Seeded Region Growing for 2D Biomedical Image Segmentation. CoRR (2014)
Marghny H. Mohamed, Mohammed M. Abdelsamea
Self Organization Map based Texture Feature Extraction for Efficient Medical Image Categorization. CoRR (2014)
Mohammed M. Abdelsamea
Unsupervised Parallel Extraction based Texture for Efficient Image Representation. CoRR (2014)
Massimo Minervini, Mohammed M. Abdelsamea, Sotirios A. Tsaftaris
Image-based plant phenotyping with incremental learning and active contours. Ecol. Informatics 23 (2014)
Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
A Survey of SOM-Based Active Contour Models for Image Segmentation. WSOM (2014)
Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
A Concurrent SOM-Based Chan-Vese Model for Image Segmentation. WSOM (2014)
Mohammed M. Abdelsamea
An Enhancement Neighborhood connected Segmentation for 2D-Cellular Image. CoRR (2014)
Mohammed M. Abdelsamea, Sotirios A. Tsaftaris
Active contour model driven by Globally Signed Region Pressure Force. DSP (2013)