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Disambiguation of "Abdel-Nasser, Mohamed"

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A Curated Dataset for Crack Image Analysis: Experimental Verification and Future Perspectives.

, , , and . CCIA, volume 356 of Frontiers in Artificial Intelligence and Applications, page 225-228. IOS Press, (2022)

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Nasser Mohamed

Abdel-Nasser Assimi

Nasser Hassan Mohamed

Mohamed Abdel Razek Mohamed Abdel Hafiz

Abdel-Moneim Mohamed Mohamed

 

Other publications of authors with the same name

Improvement of Mass Detection In Breast X-Ray Images Using Texture Analysis Methods., , and . CCIA, volume 269 of Frontiers in Artificial Intelligence and Applications, page 159-168. IOS Press, (2014)Development of advanced computer methods for breast cancer image interpretation through texture and temporal evolution analysis.. University of Rovira i Virgili, Spain, (2016)Breast Tissue Characterization in X-Ray and Ultrasound Images using Fuzzy Local Directional Patterns and Support Vector Machines., , , , , , and . VISAPP (1), page 387-394. SciTePress, (2015)Modeling the Evolution of Breast Skin Temperatures for Cancer Detection., , , and . CCIA, volume 288 of Frontiers in Artificial Intelligence and Applications, page 117-126. IOS Press, (2016)Analysis of Temporal Coherence in Videos for Action Recognition., , , , and . ICIAR, volume 9730 of Lecture Notes in Computer Science, page 325-332. Springer, (2016)Correction: Aggregating efficient transformer and CNN networks using learnable fuzzy measure for breast tumor malignancy prediction in ultrasound images., , and . Neural Comput. Appl., 36 (11): 5907 (April 2024)Predicting Personalized Quality of Life of an Intellectually Disabled Person Utilizing Machine Learning., , , , , , and . CCIA, volume 356 of Frontiers in Artificial Intelligence and Applications, page 139-142. IOS Press, (2022)A Curated Dataset for Crack Image Analysis: Experimental Verification and Future Perspectives., , , and . CCIA, volume 356 of Frontiers in Artificial Intelligence and Applications, page 225-228. IOS Press, (2022)Breast Tumor Classification in Digital Tomosynthesis Based on Deep Learning Radiomics., , , and . CCIA, volume 356 of Frontiers in Artificial Intelligence and Applications, page 269-278. IOS Press, (2022)Multi-disease, Multi-view and Multi-center Right Ventricular Segmentation in Cardiac MRI Using Efficient Late-Ensemble Deep Learning Approach., , , , and . STACOM@MICCAI, volume 13131 of Lecture Notes in Computer Science, page 335-343. Springer, (2021)