1. Asad, N. A., Pranto, M. A. M., Shiam, S., Akand, M. M., Yousuf, M. A., Hasan, K. F., & Moni, M. A. (2025). MGAN-CRCM: a novel multiple generative adversarial network and coarse refinement-based cognizant method for image inpainting. Neural Computing and Applications, 37(7), 5459-5480.
2. Esha, J. F., Islam, T., Pranto, M. A. M., Borno, A. S., Faruqui, N., Yousuf, M. A., ... & Moni, M. A. (2024). Multi-View Soft Attention-Based Model for the Classification of Lung Cancer-Associated Disabilities. Diagnostics, 14(20), 2282.
3. Mumenin, N., Pranto, M.A.M., Yousuf, M.A., Monowar, M.M., Hamid, M.A., Alotaibi, F.S. and Alassafi, M.O., 2026. A comprehensive study on multi-dimensional predictive safety analysis of machine learning models in diabetes detection. Scientific Reports.
Last Updated:
12 Oct 2026
1. Appel Mahmud Pranto, M., Asad, N. A., Yousuf, M. A., Uddin, M. N., & Moni, M. A. (2023, December). Enhancing Image Forensics with Transformer: A Multi-head Attention Approach for Robust Metadata Analysis. In International Conference on Trends in Electronics and Health Informatics (pp. 655-669). Singapore: Springer Nature Singapore.
2. Mahmud Pranto, M. A., Al Asad, N., Adnan Palash, M. I., Islam, A. M., & Shamim Kaiser, M. (2022, October). Covid-19 chest x-ray classification with augmented gan. In Proceedings of International Conference on Fourth Industrial Revolution and Beyond 2021 (pp. 125-139). Singapore: Springer Nature Singapore.
3. Pranto, M. A. M., & Al Asad, N. (2021, December). A comprehensive model to monitor mental health based on federated learning and deep learning. In 2021 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON) (pp. 18-21). IEEE.
4. Al Asad, N., Pranto, M. A. M., Afreen, S., & Islam, M. M. (2019, November). Depression detection by analyzing social media posts of user. In 2019 IEEE international conference on signal processing, information, communication & systems (SPICSCON) (pp. 13-17). IEEE.
5. R. Ahmed, S. -E. -A. Aurnima, M. A. M. Pranto, R. Tamanna and A. B. M. K. Hossain, "Machine Learning-Driven Early Warning System for Epidemic and Pandemic Outbreaks with Explainable AI," 2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS), Kushtia, Bangladesh, 2025, pp. 1-6
6. Tabassum, T., Pranto, M.A.M., Della, M.N., Hossain, A.K., Hossain, M.A. and Debnath, P.P., 2025, October. Advancing Brain Stroke Prediction Through Attention-Based Neural Architectures for Temporal Data Analysis. In 2025 IEEE 2nd International Conference on Computing, Applications and Systems (COMPAS) (pp. 1-6). IEEE.
Last Updated:
12 Oct 2026