‪Mohamed Farag‬ - ‪Google Scholar‬

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Co-authors

Amr Talaat Abdel-HamidGerman University in CairoVerified email at guc.edu.eg
Mariam FouadRuhr Univeristy BochumVerified email at ruhr-uni-bochum.de
Ribana RoscherResearch Center Jülich and University of BonnVerified email at fz-juelich.de
Jana KierdorfUniversity of BonnVerified email at uni-bonn.de
Ahmed EmamUniversity of BonnVerified email at uni-bonn.de

Mohamed Farag

Mohamed Farag

Ph.D. student

Verified email at uni-bonn.de - Homepage

Deep Learning Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Automatic severity classification of diabetic retinopathy based on denseNet and convolutional block attention module MM Farag, M Fouad, AT Abdel-Hamid IEEE Access 10, 38299-38308, 2022	77	2022
Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness in Fennoscandia with Confidence A Emam, MM Ibrahim, R Roscher Northern Lights Deep Learning Conference Abstracts 2024, 2023	1	2023
Inductive Conformal Prediction for Harvest-Readiness Classification of Cauliflower Plants: A Comparative Study of Uncertainty Quantification Methods RR Jana Kierdorf IEEE/CVF International Conference on Computer Vision (ICCV), 651-659, 2023	1*	2023
Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness A Emam, M Farag, R Roscher IEEE Geoscience and Remote Sensing Letters, 2024		2024

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