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ORCIDMohammed M. Abdelsamea
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2020 – today
- 2024
[j22]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: 93993-94007 (2024)- [j21]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: 380-388 (2024) - 2023
- [j20]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: 110666 (2023) - [j19]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) - [j18]Usama Zidan, Mohamed Medhat Gaber, Mohammed M. Abdelsamea:
SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer. Expert Syst. Appl. 216: 119452 (2023) - [j17]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): 453-474 (2023) - [j16]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): 167 (2023) - [j15]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: 9474-9486 (2023) - 2022
- [j14]Asmaa Abbas, Mohamed Medhat Gaber, Mohammed M. Abdelsamea:
XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification. Sensors 22(24): 9875 (2022) - [j13]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): 818-829 (2022) - [j12]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) - 2021
- [j11]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): 854-864 (2021) - [j10]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): 620 (2021) - [j9]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): 2798-2808 (2021) - [c4]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: 29-34 - [i9]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 abs/2108.10709 (2021) - 2020
- [j8]Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber:
DeTrac: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks. IEEE Access 8: 74901-74913 (2020) - [i8]Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber:
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. CoRR abs/2003.13815 (2020) - [i7]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 abs/2007.11450 (2020)
2010 – 2019
- 2019
- [j7]Alaa El. Sagheer, Mohammed Zidan, Mohammed M. Abdelsamea:
A Novel Autonomous Perceptron Model for Pattern Classification Applications. Entropy 21(8): 763 (2019) - [j6]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: 539-552 (2019) - 2017
- [j5]Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber:
A SOM-based Chan-Vese model for unsupervised image segmentation. Soft Comput. 21(8): 2047-2067 (2017) - 2016
- [j4]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: 314-323 (2016) - 2015
- [j3]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: 109029:1-109029:19 (2015) - [j2]Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber:
An efficient Self-Organizing Active Contour model for image segmentation. Neurocomputing 149: 820-835 (2015) - [i6]Mohammed M. Abdelsamea, Marghny H. Mohamed, Mohamed Bamatraf:
An Effective Image Feature Classiffication using an improved SOM. CoRR abs/1501.01723 (2015) - [i5]Mohammed M. Abdelsamea:
Regional Active Contours based on Variational level sets and Machine Learning for Image Segmentation. CoRR abs/1511.00111 (2015) - 2014
- [j1]Massimo Minervini, Mohammed M. Abdelsamea, Sotirios A. Tsaftaris:
Image-based plant phenotyping with incremental learning and active contours. Ecol. Informatics 23: 35-48 (2014) - [c3]Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber:
A Concurrent SOM-Based Chan-Vese Model for Image Segmentation. WSOM 2014: 199-208 - [c2]Mohammed M. Abdelsamea, Giorgio Gnecco, Mohamed Medhat Gaber:
A Survey of SOM-Based Active Contour Models for Image Segmentation. WSOM 2014: 293-302 - [i4]Mohammed M. Abdelsamea:
An Enhancement Neighborhood connected Segmentation for 2D-Cellular Image. CoRR abs/1407.3664 (2014) - [i3]Marghny H. Mohamed, Mohammed M. Abdelsamea:
Self Organization Map based Texture Feature Extraction for Efficient Medical Image Categorization. CoRR abs/1408.4143 (2014) - [i2]Mohammed M. Abdelsamea:
Unsupervised Parallel Extraction based Texture for Efficient Image Representation. CoRR abs/1408.4504 (2014) - [i1]Mohammed M. Abdelsamea:
An Automatic Seeded Region Growing for 2D Biomedical Image Segmentation. CoRR abs/1412.3958 (2014) - 2013
- [c1]Mohammed M. Abdelsamea, Sotirios A. Tsaftaris:
Active contour model driven by Globally Signed Region Pressure Force. DSP 2013: 1-6
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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