Publications

2025

  1. Vision
    RetinexDual: Retinex-based Dual Nature Approach for Generalized Ultra-High-Definition Image Restoration
    M. Kishawy, A. A. Hussein, and J. Chen
    2025
    DOI
  2. Vision
    NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results
    Xiaohong Liu, Zicheng Wu, Florin-Alexandru Vasluianu, Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte, Mohab Kishawy, Jun Chen, and others
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2025
    DOI

2024

  1. Vision
    Federated learning system on autonomous vehicles for lane segmentation
    M. M. Eid Kishawy, M. T. Abd El-Hafez, R. Yousri, and M. S. Darweesh
    Scientific Reports, Oct 2024
    DOI
  2. Vision
    NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report
    C. O. Ancuti, C. Ancuti, F.-A. Vasluianu, R. Timofte, M. Kishawy, and others
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun 2024
    DOI

2022

  1. ML
    A generic AI-based technique for assessing student performance in conducting online virtual and remote controlled laboratories
    A. M. Abd El-Haleem, M. M. Eid, M. M. Elmesalawy, and H. A. Hosny
    IEEE Access, Jun 2022
    DOI
  2. ML
    A new intelligent system for evaluating and assisting students in Laboratory Learning Management System
    H. A. Hassan, M. M. Eid, M. M. Elmesalawy, and A. M. Abd El-Haleem
    In 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN), Jun 2022
    DOI
  3. ML
    Using Machine Learning Algorithms for Breast Cancer Diagnosis
    M. M. El-Lamey, M. M. Eid, M. Gamal, N.-E. M. Bishady, and A. W. Mohamed
    Research Anthology on Medical Informatics in Breast and Cervical Cancer, Jul 2022
    DOI

2021

  1. ML
    Using Machine Learning Algorithms for Breast Cancer Diagnosis
    M. M. El-Lamey, M. M. Eid, M. Gamal, N.-E. M. Bishady, and A. W. Mohamed
    International Journal of Applied Metaheuristic Computing, Oct 2021
    DOI
  2. MATH
    Modelling and Analysis the Population Density Effect on the Infectiousness Rate of COVID-19 Novel Virus and the Mortality Rate Percentage Regarding Oxford’s Stringency Index Model of Governmental Response in MATLAB
    A. M. Ibrahim, N. E. H. M. Bishady, S. H. Elghalban, N. N. Mostafa, M. M. Eid, and K. M. Abdelhamid
    In Artificial Intelligence for COVID-19, Oct 2021
    DOI

2020

  1. MATH
    Modeling the effect of population density on controlling Covid-19 initial Spread with the use of MATLAB numerical methods and stringency index model
    A. M. Ibrahim, M. M. Eid, N. N. Mostafa, N. E.-H. Mohamed Bishady, and S. H. Elghalban
    In 2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES), Oct 2020
    DOI