| Graph convolutional networks for assessment of physical rehabilitation exercises S Deb, MF Islam, S Rahman, S Rahman IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 410-419, 2022 | 86 | 2022 |
| AI-driven stroke rehabilitation systems and assessment: A systematic review S Rahman, S Sarker, AKMN Haque, MM Uttsha, MF Islam, S Deb IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 192-207, 2022 | 77 | 2022 |
| Data-augmentation for bangla-english code-mixed sentiment analysis: Enhancing cross linguistic contextual understanding M Tareq, MF Islam, S Deb, S Rahman, A Al Mahmud IEEE Access 11, 51657-51671, 2023 | 37 | 2023 |
| SEA-GWNN: simple and effective adaptive graph wavelet neural network S Deb, S Rahman, S Rahman Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11740 …, 2024 | 6 | 2024 |
| Ga-gwnn: generalized adaptive graph wavelet neural network S Deb, S Rahman, S Rahman Pattern recognition letters 177, 128-134, 2024 | 3 | 2024 |
| GEMM: A Graph Embedded Model for Memorability Prediction TT Banna, S Deb, S Rahman, S Rahman 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 1 | 2023 |
| MF-GCN: A Multi-Frequency Graph Convolutional Network for Tri-Modal Depression Detection Using Eye-Tracking, Facial, and Acoustic Features S Rahman, S Deb, MD Chowdhury, MD Sourov, M Shamsuddin arXiv preprint arXiv:2511.15675, 2025 | | 2025 |
| Unsupervised Cardiac Video Translation Via Motion Feature Guided Diffusion Model S Deb, N Wu, FH Epstein, M Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2025 | | 2025 |
Sejuti Rahman, PhDProfessor, Department of Computer Science, New Uzbekistan UniversityVerified email at du.ac.bd
