Active contour model driven by Globally Signed Region Pressure Force. - Mohammed M. Abdelsamea; Sotirios A. Tsaftaris (DSP, 2013)

A Concurrent SOM-Based Chan-Vese Model for Image Segmentation. - Mohammed M. Abdelsamea; Giorgio Gnecco; Mohamed Medhat Gaber (WSOM, 2014)

A Survey of SOM-Based Active Contour Models for Image Segmentation. - Mohammed M. Abdelsamea; Giorgio Gnecco; Mohamed Medhat Gaber (WSOM, 2014)

An Enhancement Neighborhood connected Segmentation for 2D-Cellular Image. - Mohammed M. Abdelsamea (CoRR, 2014)

Unsupervised Parallel Extraction based Texture for Efficient Image Representation. - Mohammed M. Abdelsamea (CoRR, 2014)

An Automatic Seeded Region Growing for 2D Biomedical Image Segmentation. - Mohammed M. Abdelsamea (CoRR, 2014)

Self Organization Map based Texture Feature Extraction for Efficient Medical Image Categorization. - Marghny H. Mohamed; Mohammed M. Abdelsamea (CoRR, 2014)

Image-based plant phenotyping with incremental learning and active contours. - Massimo Minervini; Mohammed M. Abdelsamea; Sotirios A. Tsaftaris (Ecol. Informatics, 2014)

On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. - Mohammed M. Abdelsamea; Giorgio Gnecco; Mohamed Medhat Gaber; Eyad Elyan (Comput. Intell. Neurosci., 2015)

Regional Active Contours based on Variational level sets and Machine Learning for Image Segmentation. - Mohammed M. Abdelsamea (CoRR, 2015)

An Effective Image Feature Classiffication using an improved SOM. - Mohammed M. Abdelsamea; Marghny H. Mohamed; Mohamed Bamatraf (CoRR, 2015)

An efficient Self-Organizing Active Contour model for image segmentation. - Mohammed M. Abdelsamea; Giorgio Gnecco; Mohamed Medhat Gaber (Neurocomputing, 2015)

A semi-automated system based on level sets and invariant spatial interrelation shape features for Caenorhabditis elegans phenotypes. - Mohammed M. Abdelsamea (J. Vis. Commun. Image Represent., 2016)

A SOM-based Chan-Vese model for unsupervised image segmentation. - Mohammed M. Abdelsamea; Giorgio Gnecco; Mohamed Medhat Gaber (Soft Comput., 2017)

A Novel Autonomous Perceptron Model for Pattern Classification Applications. - Alaa El. Sagheer; Mohammed Zidan; Mohammed M. Abdelsamea (Entropy, 2019)

A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer. - Mohammed M. Abdelsamea; Alain Pitiot; Ruta Barbora Grineviciute; Justinas Besusparis; Arvydas Laurinavicius; Mohammad Ilyas (Expert Syst. Appl., 2019)

DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks. - Asmaa Abbas; Mohammed M. Abdelsamea; Mohamed Medhat Gaber (IEEE Access, 2020)

On The Effect Of Decomposition Granularity On DeTraC For COVID-19 Detection Using Chest X-Ray Images. - Nicole P. Mugova; Mohammed M. Abdelsamea; Mohamed Medhat Gaber (ECMS, 2021)

Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. - Asmaa Abbas; Mohammed M. Abdelsamea; Mohamed Medhat Gaber (Appl. Intell., 2021)

3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images. - Zakaria Senousy; Mohammed M. Abdelsamea; Mona Mostafa Mohamed; Mohamed Medhat Gaber (Entropy, 2021)

4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection. - Asmaa Abbas; Mohammed M. Abdelsamea; Mohamed Medhat Gaber (IEEE Trans. Neural Networks Learn. Syst., 2021)

XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification. - Asmaa Abbas; Mohamed Medhat Gaber; Mohammed M. Abdelsamea (Sensors, 2022)

MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. - Zakaria Senousy; Mohammed M. Abdelsamea; Mohamed Medhat Gaber; Moloud Abdar; U. Rajendra Acharya; Abbas Khosravi; Saeid Nahavandi (IEEE Trans. Biomed. Eng., 2022)

A survey on artificial intelligence in histopathology image analysis. - Mohammed M. Abdelsamea; Usama Zidan; Zakaria Senousy; Mohamed Medhat Gaber; Emad Rakha; Mohammad Ilyas (WIREs Data Mining Knowl. Discov., 2022)

Idecomp: imbalance-aware decomposition for class-decomposed classification using conditional GANs. - Patryk Buczek; Usama Zidan; Mohamed Medhat Gaber; Mohammed M. Abdelsamea (Discov. Artif. Intell., 2023)

Deep multi-locality convolutional neural network for DDoS detection in smart home IoT. - Mohammed Almehdhar; Mohammed M. Abdelsamea; Na Ruan (Int. J. Inf. Comput. Secur., 2023)

From Pixels to Deposits: Porphyry Mineralization With Multispectral Convolutional Neural Networks. - Usama Zidan; Hamdy A. El Desouky; Mohamed Medhat Gaber; Mohammed M. Abdelsamea (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer. - Usama Zidan; Mohamed Medhat Gaber; Mohammed M. Abdelsamea (Expert Syst. Appl., 2023)

AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification. - Zakaria Senousy; Mohamed Medhat Gaber; Mohammed M. Abdelsamea (Appl. Soft Comput., 2023)

Network intrusion detection using feature fusion with deep learning. - Abiodun Ayantayo; Amrit Kaur; Anit Kour; Xavier Schmoor; Fayyaz Shah; Ian Vickers; Paul Kearney; Mohammed M. Abdelsamea (J. Big Data, 2023)

Human-in-the-Loop Learning With LLMs for Efficient RASE Tagging in Building Compliance Regulations. - Dhoyazan Al-Turki; Hansi Hettiarachchi; Mohamed Medhat Gaber; Mohammed M. Abdelsamea; Shadi Basurra; Sima Iranmanesh; Hadeel Saadany; Edlira Vakaj (IEEE Access, 2024)

GraphX-Net: A Graph Neural Network-Based Shapley Values for Predicting Breast Cancer Occurrence. - Abdullah Basaad; Shadi Basurra; Edlira Vakaj; Mohammed Aleskandarany; Mohammed M. Abdelsamea (IEEE Access, 2024)

DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification. - Suhaib Chughtai; Zakaria Senousy; Ahmed Mahany; Nouh Sabri Elmitwally; Khalid N. Ismail; Mohamed Medhat Gaber; Mohammed M. Abdelsamea (IEEE Open J. Comput. Soc., 2024)

PolyRes-Net: A Polyhierarchical Residual Network for Decoding Anatomical Complexity in Medical Image Segmentation. - Amr Magdy 002; Khalid N. Ismail; Marghny H. Mohamed; Mahmoud Hassaballah; Haitham Mahmoud; Mohammed M. Abdelsamea (IEEE Access, 2025)

CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification. - Asmaa Abbas; Mohamed Medhat Gaber; Mohammed M. Abdelsamea (CoRR, 2025)

CAPRI-CT: Causal Analysis and Predictive Reasoning for Image Quality Optimization in Computed Tomography. - Sneha George Gnanakalavathy; Hairil Abdul Razak; Robert Meertens; Jonathan E. Fieldsend; Xujiong Ye; Mohammed M. Abdelsamea (CoRR, 2025)