Mohammed M. Abdelsamea

According to our database, Mohammed M. Abdelsamea authored at least 30 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, December, 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., October, 2023

SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer.

Usama Zidan, Mohamed Medhat Gaber, Mohammed M. Abdelsamea

Expert Syst. Appl., April, 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

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

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

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

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

XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification.

Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea

Sensors, 2022

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

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

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

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

Proceedings of the 35th International ECMS International Conference on Modelling and Simulation, 2021

2020

DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks.

Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber

IEEE Access, 2020

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

A Novel Autonomous Perceptron Model for Pattern Classification Applications.

Alaa El. Sagheer, Mohammed Zidan, Mohammed M. Abdelsamea

Entropy, 2019

2017

A SOM-based Chan-Vese model for unsupervised image segmentation.

Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber

Soft Comput., 2017

2016

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

2015

An efficient Self-Organizing Active Contour model for image segmentation.

Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber

Neurocomputing, 2015

An Effective Image Feature Classiffication using an improved SOM.

Mohammed M. Abdelsamea, Marghny H. Mohamed, Mohamed Bamatraf

CoRR, 2015

Regional Active Contours based on Variational level sets and Machine Learning for Image Segmentation.

Mohammed M. Abdelsamea

CoRR, 2015

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

2014

Image-based plant phenotyping with incremental learning and active contours.

Massimo Minervini, Mohammed M. Abdelsamea, Sotirios A. Tsaftaris

Ecol. Informatics, 2014

Self Organization Map based Texture Feature Extraction for Efficient Medical Image Categorization.

Marghny H. Mohamed, Mohammed M. Abdelsamea

CoRR, 2014

An Automatic Seeded Region Growing for 2D Biomedical Image Segmentation.

Mohammed M. Abdelsamea

CoRR, 2014

Unsupervised Parallel Extraction based Texture for Efficient Image Representation.

Mohammed M. Abdelsamea

CoRR, 2014

An Enhancement Neighborhood connected Segmentation for 2D-Cellular Image.

Mohammed M. Abdelsamea

CoRR, 2014

A Survey of SOM-Based Active Contour Models for Image Segmentation.

Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

A Concurrent SOM-Based Chan-Vese Model for Image Segmentation.

Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014

2013

Active contour model driven by Globally Signed Region Pressure Force.

Mohammed M. Abdelsamea, Sotirios A. Tsaftaris

Proceedings of the 18th International Conference on Digital Signal Processing, 2013