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Hadeer El-Saadawy
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2020 – today
- 2024
- [i1]Hosam S. El-Assiouti, Hadeer El-Saadawy, Maryam N. Al-Berry, Mohamed F. Tolba:
CTRL-F: Pairing Convolution with Transformer for Image Classification via Multi-Level Feature Cross-Attention and Representation Learning Fusion. CoRR abs/2407.06673 (2024) - 2023
- [j5]Hosam S. El-Assiouti
, Hadeer El-Saadawy
Lite-SRGAN and Lite-UNet: Toward Fast and Accurate Image Super-Resolution, Segmentation, and Localization for Plant Leaf Diseases. IEEE Access 11: 67498-67517 (2023) - [j4]Omar S. El-Assiouti
RegionInpaint, Cutoff and RegionMix: Introducing Novel Augmentation Techniques for Enhancing the Generalization of Brain Tumor Identification. IEEE Access 11: 83232-83250 (2023) - 2021
- [j3]Hadeer El-Saadawy
A Hybrid Two-Stage GNG-Modified VGG Method for Bone X-Rays Classification and Abnormality Detection. IEEE Access 9: 76649-76661 (2021) - [j2]Hadeer El-Saadawy, Manal M. Tantawi
A Hybrid Two-Stage CNN-SVM Model for Bone X-Rays Classification and Abnormality Detection. Int. J. Sociotechnology Knowl. Dev. 13(4): 50-65 (2021) - [c5]Hadeer El-Saadawy, Manal M. Tantawi, Howida A. Shedeed, Mohamed F. Tolba:
Deep Learning Method for Bone Abnormality Detection Using Multi-view X-rays. AICV 2021: 46-55 - [c4]Hadeer El-Saadawy, Manal M. Tantawi, Howida A. Shedeed, Mohamed F. Tolba:
One-Stage vs Two-Stage Deep Learning Method for Bone Abnormality Detection. AICV 2021: 122-132 - 2020
- [c3]Hadeer El-Saadawy
A Two-Stage Method for Bone X-Rays Abnormality Detection Using MobileNet Network. AICV 2020: 372-380
2010 – 2019
- 2018
- [j1]Hadeer El-Saadawy
Hybrid hierarchical method for electrocardiogram heartbeat classification. IET Signal Process. 12(4): 506-513 (2018) - 2017
- [c2]Hadeer El-Saadawy
Diagnosing Heart Diseases Using Morphological and Dynamic Features of Electrocardiogram (ECG). AISI 2017: 342-352 - 2016
- [c1]Hadeer El-Saadawy
Electrocardiogram (ECG) Classification Based On Dynamic Beats Segmentation. INFOS 2016: 75-80
Coauthor Index
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last updated on 2024-08-18 00:30 CEST by the dblp team
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