Mohammed M. Abdelsamea

51 papers B 1C 1Journal 45Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal Transfer in Medical Image Analysis. CoRR Mohammed M. Abdelsamea, Daniel Tweneboah Anyimadu, Tasneem Selim, Saif Alzubi, Lei Zhang, Ahmed Karam Eldaly, Xujiong Ye
2026	J	`jnl`	DeepHistoViT: An Interpretable Vision Transformer Framework for Histopathological Cancer Classification. CoRR Ravi Mosalpuri, Mohammed M. Abdelsamea, Ahmed Karam Eldaly
2026	J	`jnl`	Direct low-field MRI super-resolution using undersampled k-space. CoRR Daniel Tweneboah Anyimadu, Mohammed M. Abdelsamea, Ahmed Karam Eldaly
2026	J	`jnl`	HMSA-Net: A hierarchical multi-scale aggregation network for multimodal biomedical image segmentation. Comput. Electr. Eng. Amr Magdy, Mahmoud Hassaballah, Marghny H. Mohamed, Mohammed M. Abdelsamea, Khalid N. Ismail
2026	J	`jnl`	Low-Field Magnetic Resonance Image Enhancement using Undersampled k-Space. CoRR Daniel Tweneboah Anyimadu, Mohammed Abdalla, Mohammed M. Abdelsamea, Ahmed Karam Eldaly
2026	J	`jnl`	Low-Field Magnetic Resonance Image Quality Enhancement using Undersampled k-Space and Out-of-Distribution Generalisation. CoRR Daniel Tweneboah Anyimadu, Mohammed M. Abdelsamea, Ahmed Karam Eldaly
2026	J	`jnl`	ShapeSpaceExplorer: Analysis of morphological transitions in migrating cells using similarity-based shape space mapping. PLoS Comput. Biol. Samuel D. R. Jefferyes, Roswitha Gostner, Laura Cooper, Mohammed M. Abdelsamea, Elly Straube, Nasir M. Rajpoot, David B. A. Epstein, Anne Straube
2025	J	`jnl`	CAPRI-CT: Causal Analysis and Predictive Reasoning for Image Quality Optimization in Computed Tomography. CoRR Sneha George Gnanakalavathy, Hairil Abdul Razak, Robert Meertens, Jonathan E. Fieldsend, Xujiong Ye, Mohammed M. Abdelsamea
2025	J	`jnl`	CLOG-CD: Curriculum Learning Based on Oscillating Granularity of Class Decomposed Medical Image Classification. IEEE Trans. Emerg. Top. Comput. Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2025	J	`jnl`	CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification. CoRR Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2025	—	`conf`	CURVETE: Curriculum Learning and Progressive Self-supervised Training for Medical Image Classification. ICONIP (3) Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2025	J	`jnl`	CURVETE: Curriculum Learning and Progressive Self-supervised Training for Medical Image Classification. CoRR Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2025	B	`conf`	HITSQL: Human-In-The-Loop Techniques for Enhancing Text-to-SQL Query Generation with Large Language Models. IJCNN Dhoyazan Al-Turki, Shadi Basurra, Mohamed Medhat Gaber, Bushra Attasi, Mohammed M. Abdelsamea
2025	J	`jnl`	PolyRes-Net: A Polyhierarchical Residual Network for Decoding Anatomical Complexity in Medical Image Segmentation. IEEE Access Amr Magdy, Khalid N. Ismail, Marghny H. Mohamed, Mahmoud Hassaballah, Haitham H. Mahmoud, Mohammed M. Abdelsamea
2025	J	`jnl`	iPac: Incorporating Intra-image Patch Context into Graph Neural Networks for Medical Image Classification. CoRR Usama Zidan, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2024	J	`jnl`	DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification. IEEE Open J. Comput. Soc. Suhaib Chughtai, Zakaria Senousy, Ahmed Mahany, Nouh Sabri Elmitwally, Khalid N. Ismail, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2024	J	`jnl`	GraphX-Net: A Graph Neural Network-Based Shapley Values for Predicting Breast Cancer Occurrence. IEEE Access Abdullah Basaad, Shadi Basurra, Edlira Vakaj, Mohammed Aleskandarany, Mohammed M. Abdelsamea
2024	J	`jnl`	Human-in-the-Loop Learning With LLMs for Efficient RASE Tagging in Building Compliance Regulations. IEEE Access Dhoyazan Al-Turki, Hansi Hettiarachchi, Mohamed Medhat Gaber, Mohammed M. Abdelsamea, Shadi Basurra, Sima Iranmanesh, Hadeel Saadany, Edlira Vakaj
2023	J	`jnl`	AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification. Appl. Soft Comput. Zakaria Senousy, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2023	J	`jnl`	Deep multi-locality convolutional neural network for DDoS detection in smart home IoT. Int. J. Inf. Comput. Secur. Mohammed Almehdhar, Mohammed M. Abdelsamea, Na Ruan
2023	J	`jnl`	From Pixels to Deposits: Porphyry Mineralization With Multispectral Convolutional Neural Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Usama Zidan, Hamdy A. El Desouky, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2023	J	`jnl`	Idecomp: imbalance-aware decomposition for class-decomposed classification using conditional GANs. Discov. Artif. Intell. Patryk Buczek, Usama Zidan, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2023	J	`jnl`	Network intrusion detection using feature fusion with deep learning. J. Big Data Abiodun Ayantayo, Amrit Kaur, Anit Kour, Xavier Schmoor, Fayyaz Shah, Ian Vickers, Paul Kearney, Mohammed M. Abdelsamea
2023	J	`jnl`	SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer. Expert Syst. Appl. Usama Zidan, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2022	J	`jnl`	A survey on artificial intelligence in histopathology image analysis. WIREs Data Mining Knowl. Discov. Mohammed M. Abdelsamea, Usama Zidan, Zakaria Senousy, Mohamed Medhat Gaber, Emad Rakha, Mohammad Ilyas
2022	J	`jnl`	MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. IEEE Trans. Biomed. Eng. Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi
2022	J	`jnl`	XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification. Sensors Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea
2021	J	`jnl`	3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images. Entropy Zakaria Senousy, Mohammed M. Abdelsamea, Mona Mostafa Mohamed, Mohamed Medhat Gaber
2021	J	`jnl`	4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection. IEEE Trans. Neural Networks Learn. Syst. Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
2021	J	`jnl`	Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. Appl. Intell. Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
2021	J	`jnl`	MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. CoRR Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber, Moloud Abdar, U. Rajendra Acharya, Abbas Khosravi, Saeid Nahavandi
2021	C	`conf`	On The Effect Of Decomposition Granularity On DeTraC For COVID-19 Detection Using Chest X-Ray Images. ECMS Nicole P. Mugova, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
2020	J	`jnl`	4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection. CoRR Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
2020	J	`jnl`	Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. CoRR Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
2020	J	`jnl`	DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks. IEEE Access Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber
2019	J	`jnl`	A Novel Autonomous Perceptron Model for Pattern Classification Applications. Entropy Alaa El. Sagheer, Mohammed Zidan, Mohammed M. Abdelsamea
2019	J	`jnl`	A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer. Expert Syst. Appl. Mohammed M. Abdelsamea, Alain Pitiot, Ruta Barbora Grineviciute, Justinas Besusparis, Arvydas Laurinavicius, Mohammad Ilyas
2017	J	`jnl`	A SOM-based Chan-Vese model for unsupervised image segmentation. Soft Comput. Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
2016	J	`jnl`	A semi-automated system based on level sets and invariant spatial interrelation shape features for Caenorhabditis elegans phenotypes. J. Vis. Commun. Image Represent. Mohammed M. Abdelsamea
2015	J	`jnl`	An Effective Image Feature Classiffication using an improved SOM. CoRR Mohammed M. Abdelsamea, Marghny H. Mohamed, Mohamed Bamatraf
2015	J	`jnl`	An efficient Self-Organizing Active Contour model for image segmentation. Neurocomputing Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
2015	J	`jnl`	On the Relationship between Variational Level Set-Based and SOM-Based Active Contours. Comput. Intell. Neurosci. Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber, Eyad Elyan
2015	J	`jnl`	Regional Active Contours based on Variational level sets and Machine Learning for Image Segmentation. CoRR Mohammed M. Abdelsamea
2014	—	`conf`	A Concurrent SOM-Based Chan-Vese Model for Image Segmentation. WSOM Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
2014	—	`conf`	A Survey of SOM-Based Active Contour Models for Image Segmentation. WSOM Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber
2014	J	`jnl`	An Automatic Seeded Region Growing for 2D Biomedical Image Segmentation. CoRR Mohammed M. Abdelsamea
2014	J	`jnl`	An Enhancement Neighborhood connected Segmentation for 2D-Cellular Image. CoRR Mohammed M. Abdelsamea
2014	J	`jnl`	Image-based plant phenotyping with incremental learning and active contours. Ecol. Informatics Massimo Minervini, Mohammed M. Abdelsamea, Sotirios A. Tsaftaris
2014	J	`jnl`	Self Organization Map based Texture Feature Extraction for Efficient Medical Image Categorization. CoRR Marghny H. Mohamed, Mohammed M. Abdelsamea
2014	J	`jnl`	Unsupervised Parallel Extraction based Texture for Efficient Image Representation. CoRR Mohammed M. Abdelsamea
2013	—	`conf`	Active contour model driven by Globally Signed Region Pressure Force. DSP Mohammed M. Abdelsamea, Sotirios A. Tsaftaris