Mohammed M. Abdelsamea
Orcid: 0000-0002-2728-1127
According to our database1,
Mohammed M. Abdelsamea
authored at least 33 papers
between 2013 and 2024.
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Bibliography
2024
DeepCon: Unleashing the Power of Divide and Conquer Deep Learning for Colorectal Cancer Classification.
IEEE Open J. Comput. Soc., 2024
GraphX-Net: A Graph Neural Network-Based Shapley Values for Predicting Breast Cancer Occurrence.
IEEE Access, 2024
Human-in-the-Loop Learning With LLMs for Efficient RASE Tagging in Building Compliance Regulations.
IEEE Access, 2024
2023
J. Big Data, December, 2023
AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification.
Appl. Soft Comput., October, 2023
SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer.
Expert Syst. Appl., April, 2023
From Pixels to Deposits: Porphyry Mineralization With Multispectral Convolutional Neural Networks.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Deep multi-locality convolutional neural network for DDoS detection in smart home IoT.
Int. J. Inf. Comput. Secur., 2023
Idecomp: imbalance-aware decomposition for class-decomposed classification using conditional GANs.
Discov. Artif. Intell., 2023
2022
WIREs Data Mining Knowl. Discov., 2022
MCUa: Multi-Level Context and Uncertainty Aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification.
IEEE Trans. Biomed. Eng., 2022
XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification.
Sensors, 2022
2021
4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection.
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.
Entropy, 2021
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network.
Appl. Intell., 2021
On The Effect Of Decomposition Granularity On DeTraC For COVID-19 Detection Using Chest X-Ray Images.
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.
IEEE Access, 2020
2019
A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer.
Expert Syst. Appl., 2019
Entropy, 2019
2017
2016
A semi-automated system based on level sets and invariant spatial interrelation shape features for Caenorhabditis elegans phenotypes.
J. Vis. Commun. Image Represent., 2016
2015
Neurocomputing, 2015
Regional Active Contours based on Variational level sets and Machine Learning for Image Segmentation.
CoRR, 2015
On the Relationship between Variational Level Set-Based and SOM-Based Active Contours.
Comput. Intell. Neurosci., 2015
2014
Ecol. Informatics, 2014
Self Organization Map based Texture Feature Extraction for Efficient Medical Image Categorization.
CoRR, 2014
CoRR, 2014
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014
2013
Proceedings of the 18th International Conference on Digital Signal Processing, 2013