Items where Author is "Abdelsamea, Mohammed M."

Article

Zidan, Usama and Desouky, Hamdy A. El and Gaber, Mohamed Medhat and Abdelsamea, Mohammed M. (2023) From Pixels to Deposits: Porphyry Mineralization With Multispectral Convolutional Neural Networks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16. pp. 9259-9271. ISSN 1939-1404

Al-Turki, Dhoyazan and Kyriakou, Marios and Basurra, Shadi and Gaber, Mohamed Medhat and Abdelsamea, Mohammed M. (2023) The power of progressive active learning in floorplan images for energy assessment. Scientific Reports, 13 (1). ISSN 2045-2322

Buczek, Patryk and Zidan, Usama and Gaber, Mohamed Medhat and Abdelsamea, Mohammed M. (2023) Idecomp: imbalance-aware decomposition for class-decomposed classification using conditional GANs. Discover Artificial Intelligence, 3 (1). ISSN 2731-0809

Senousy, Zakaria and Gaber, Mohamed Medhat and Abdelsamea, Mohammed M. (2023) AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification. Applied Soft Computing, 146. p. 110666. ISSN 1568-4946

Abdelsamea, Mohammed M. and Gaber, Mohamed Medhat and Ali, Aliyuda and Kyriakou, Marios and Fawki, Shams (2023) A logarithmically amortising temperature effect for supervised learning of wheat solar disinfestation of rice weevil Sitophilus oryzae (Coleoptera: Curculionidae) using plastic bags. Scientific Reports, 13. p. 2655. ISSN 2045-2322

Zidan, Usama and Gaber, Mohamed Medhat and Abdelsamea, Mohammed M. (2022) SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer. Expert Systems with Applications, 216. p. 119452. ISSN 0957-4174

Abdelsamea, Mohammed M. (2022) XDecompo: eXplainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification. Sensors, 22 (24). ISSN 1424-8220

Abdelsamea, Mohammed M. and Zidan, Usama and Senousy, Zakaria and Gaber, Mohamed Medhat and Rakha, Emad and Ilyas, Mohammad (2022) A survey on artificial intelligence in histopathology image analysis. WIREs Data Mining and Knowledge Discovery, 12 (6). e1474. ISSN 1942-4787

Rakha, Ahmed and Hettiarachchi, Hansi and Rady, Dina and Gaber, Mohamed Medhat and Rakha, Emad and Abdelsamea, Mohammed M. (2021) Predicting the Economic Impact of the COVID-19 Pandemic in the United Kingdom Using Time-Series Mining. Economies, 9 (4). e137. ISSN 2227-7099

Senousy, Zakaria and Abdelsamea, Mohammed M. and Gaber, Mohamed Medhat and Abdar, Moloud and Acharya, Rajendra U. and Khosravi, Abbas and Nahavandi, Saeid (2021) MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification. IEEE Transactions on Biomedical Engineering. ISSN 0018-9294

Abbas, Asmaa and Abdelsamea, Mohammed M. and Gaber, Mohamed Medhat (2021) 4S-DT: Self-Supervised Super Sample Decomposition for Transfer Learning With Application to COVID-19 Detection. IEEE Transactions on Neural Networks and Learning Systems, 32 (7). pp. 2798-2808. ISSN 2162-237X

Senousy, Zakaria and Abdelsamea, Mohammed M. and Mohamed, Mona Mostafa and Gaber, Mohamed Medhat (2021) 3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images. Entropy, 23 (5). e620. ISSN 1099-4300

Abbas, Asmaa and Abdelsamea, Mohammed M. and Gaber, Mohamed Medhat (2020) Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network. Applied Intelligence. ISSN 0924-669X

Abbas, Asmaa and Abdelsamea, Mohammed M. and Gaber, Mohamed Medhat (2020) DeTraC: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks. IEEE Access, 8. pp. 74901-74913. ISSN 2169-3536

Abdelsamea, Mohammed M. and Gnecco, Giorgio and Gaber, Mohamed Medhat (2015) A SOM-based Chan–Vese model for unsupervised image segmentation. Soft Computing. pp. 1-21. ISSN 1432-7643

Abdelsamea, Mohammed M. and Gnecco, Giorgio and Gaber, Mohamed Medhat (2015) An efficient Self-Organizing Active Contour model for image segmentation. Neurocomputing, 149 (B). pp. 820-835. ISSN 0925-2312