A Review on Bayesian Deep Learning in Healthcare: Applications and Challenges. - Abdullah A. Abdullah; Masoud Muhammed Hassan; Yaseen T. Mustafa (IEEE Access, 2022)

A Review on Deep Sequential Models for Forecasting Time Series Data. - Dozdar Mahdi Ahmed; Masoud Muhammed Hassan; Ramadhan J. Mstafa (Appl. Comput. Intell. Soft Comput., 2022)

Person-independent facial expression recognition based on the fusion of HOG descriptor and cuttlefish algorithm. - Haval Ismael Hussein; Hivi Ismat Dino; Ramadhan J. Mstafa; Masoud Muhammed Hassan (Multim. Tools Appl., 2022)

Heart disease prediction based on pre-trained deep neural networks combined with principal component analysis. - Diman Hassan; Haval Ismael Hussein; Masoud Muhammed Hassan (Biomed. Signal Process. Control., 2023)

Letter: Application of optimization algorithms to engineering design problems and discrepancies in mathematical formulas. - Adel Sabry Eesa; Masoud Muhammed Hassan; Wahab Khalaf Arabo (Appl. Soft Comput., 2023)

Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images. - Haval Ismael Hussein; Abdulhakeem O. Mohammed; Masoud Muhammed Hassan; Ramadhan J. Mstafa (Expert Syst. Appl., 2023)

Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability. - Masoud Muhammed Hassan (CoRR, 2024)