Kiziloluk S, Sert E, Hammad M, Tadeusiewicz R, Pławiak P.  2024.  EO-CNN: Equilibrium Optimization-Based hyperparameter tuning for enhanced pneumonia and COVID-19 detection using AlexNet and DarkNet19. Biocybernetics and Biomedical Engineering. 44

Patro KKumar, Allam JPrakash, Neelapu BChakravart, Tadeusiewicz R, U Acharya R, Hammad M, Yildirim O, Plawiak P.  2023.  Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images. Information Sciences. 640

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

Maher A, Qaisar SMian, Salankar N., Jiang F, Tadeusiewicz R, Plawiak P, EL-Latif AAAbd, Hammad M.  2023.  Hybrid EEG-fNIRS brain-computer interface based on the non-linear features extraction and stacking ensemble learning. Biocybernetics and Biomedical Engineering. 43

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

Prakash AJaya, Patro KKumar, Hammad M, Tadeusiewicz R, Plawiak P.  2022.  BAED: A secured biometric authentication system using ECG signal based on deep learning techniques.. Biocybernetics and Biomedical Engineering. 42

Sakr AS, Plawiak P, Tadeusiewicz R, Hammad M.  2022.  Cancelable ECG biometric based on combination of deep transfer learning with DNA and amino acid approaches for human authentication.. Information Sciences. 585

Plawiak P, Salankar N, Qaisar SMian, Tadeusiewicz R, Hammad M.  2022.  EEG based alcoholism detection by oscillatory modes decomposition second order difference plots and machine learning.. Biocybernetics and Biomedical Engineering. 42

Saber S, Amin K, Plawiak P, Tadeusiewicz R, Hammad M.  2022.  Graph Convolutional Network with Triplet Attention learning for Person Re-Identification.. Information Sciences.

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

Mohammed YSalaheldin, Abdelkader H, Plawiak P, Hammad M.  2022.  A novel model to optimize multiple imputation algorithm for missing data using evolution methods.. Biomedical Signal Processing and Control. 76

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)

Wierzbiński M, Plawiak P, Hammad M, U Acharya R.  2021.  Development of accurate classification of heavenly bodies using novel machine learning techniques. Springer, Soft Computing. 25(2021)

Hammad M, Plawiak P, Wang K, Acharya URajendra.  2021.  ResNet‐Attention model for human authentication using ECG signals. Wiley, Expert Systems. 38(6):e12547. (2.75 MB)

Książek W, Hammad M, Plawiak P, U. Acharya R, Tadeusiewicz R.  2020.  Development of novel ensemble model using stacking learning and evolutionary computation techniques for automated hepatocellular carcinoma detection. Biocybernetics and Biomedical Engineering. 40(4):1512-1524. (1.1 MB)

Dogra A, Ewaidat HAl, Samee NAbdel, Allam JPrakash, Patro KKumar, Plawiak P, Mahmoud NF, Hammad M.  0.  The Knowledge and Perception about COVID-19 among Medical Imaging Professionals. Health & Social Care in the Community.