Sakr AS, Plawiak P, Tadeusiewicz R, Pławiak J, Sakr M, Hammad M.  2023.  ECG-COVID: An end-to-end deep model based on electrocardiogram for COVID-19 detection. Information Sciences. 619

Patro KKumar, Allam JPrakash, Hammad M, Tadeusiewicz R, Plawiak P.  2023.  SCovNet: A skip connection-based feature union deep learning technique with statistical approach analysis for the detection of COVID-19. Biocybernetics and Biomedical Engineering. 43

Oztekin F, Katar O, Sadak F, Aydogan M, Yildirim TTalo, Plawiak P, Yildirim O, Talo M, Karabatak M.  2022.  Automatic semantic segmentation for dental restorations in panoramic radiography images using U-Net model.. International Journal of Imaging Systems and Technology. 32

Hammad M, Bakrey M, Bakhiet A, Tadeusiewicz R, EL-Latif AAAbd, Plawiak P.  2022.  A novel end-to-end deep learning approach for cancer detection based on microscopic medical images.. Biocybernetics and Biomedical Engineering. 42

Hammad M, Kandala RNVPS, Abdelatey A, Abdar M, Zomorodi‐Moghadam M, San Tan R, U. Acharya R, Pławiak J, Tadeusiewicz R, Makarenkov V et al..  2021.  Automated detection of shockable ECG signals: A review. Elsevier, Information Sciences.  (3.76 MB)

Abdar M, Fahami MAmin, Chakrabarti S, Khosravi A, Plawiak P, U. Acharya R, Tadeusiewicz R, Nahavandi S.  2021.  BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification. Elsevier, Information Sciences. 577 (4.62 MB)

Plawiak P, Abdar M, Pławiak J, Makarenkov V, U Acharya R.  2020.  DGHNL: A new deep genetic hierarchical network of learners for prediction of credit scoring. Elsevier, Information Sciences. 516:401-418. (1.21 MB)