Ahmed EL-Latif

2023

Maher A.; Qaisar S.; Salankar N.; Jiang F.; Tadeusiewicz R.; Plawiak P.; EL-Latif A.; Hammad M.; Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning; Biocybernetics and Biomedical Engineering; 2023

2022

Hammad M.; Bakrey M.; Bakhiet A.; Tadeusiewicz R.; EL-Latif A.; Plawiak P.; A novel end-to-end deep learning approach for cancer detection based on microscopic medical images.; Biocybernetics and Biomedical Engineering; 2022

2021

Hammad M.; Kandala R.; Abdelatey A.; Abdar M.; Zomorodi‐Moghadam M.; San Tan R.; Acharya R.; Pławiak J.; Tadeusiewicz R.; Makarenkov V.; Sarrafzadegan N.; Khosravi A.; Nahavandi S.; EL-Latif A.; Plawiak P.; Automated detection of shockable ECG signals: A review; Elsevier, Information Sciences; 2021