Research Publications

Saeed, M. U., Wang, B., Sheng, J., & Saleem, S. 2025. “3D MFA: An automated 3D multi-feature attention-based approach for spine segmentation using a multi-stage network pruning.” Computers in Biology and Medicine, 185, 109526. https://doi.org/10.1016/j.compbiomed.2025.109526. 

Saeed, M. U. 2024. “MSFF: An automated multi-scale feature fusion deep learning model for spine fracture segmentation using MRI.” Biomedical Signal Processing and Control, May, 2024. https://doi.org/10.1016/j.bspc.2024.105943.

Saeed, M. U. 2024. “An Automated Multi-scale Feature Fusion Network for Spine Fracture Segmentation Using Computed Tomography Images.” Journal of Imaging Informatics in Medicine, April 15, 2024. https://doi.org/10.1007/s10278-024-01091-0 .

Saeed, M. U. 2023. “An Automated Deep Learning Approach for Spine Segmentation and Vertebrae Recognition Using Computed Tomography Images.” Diagnostics MDPI, August 12, 2023. https://doi.org/10.3390/diagnostics13162658.

Saeed, M. U. 2023. “3D MRU-Net: A novel mobile residual U-Net deep learning model for spine segmentation using computed tomography images.” Biomedical Signal Processing and Control, September 2023. https://doi.org/10.1016/j.bspc.2023.105153.

Saeed, M. U. 2021. “RMU-Net: A Novel Residual Mobile U-Net Model for Brain Tumor Segmentation from MR Images.” Electronics MDPI, August 14, 2021. https://doi.org/10.3390/electronics10161962.

Saeed, M. U. 2025. “Empowering cardiovascular diagnostics with SET-MobileNet: A lightweight and accurate deep learning based classification approach.” Image and Vision Computing, July 31, 2025. https:/www.sciencedirect.com/science/article/pii/S0262885625002720 . 

Dastgir, A., Wang, B., Saeed, M. U., Sheng, J., Site, L., & Hassan, H. 2025. “Attention LinkNet-152: A novel encoder-decoder based deep learning network for automated spine segmentation.” Scientific Reports, 15(1), 13102. https://doi.org/10.1038/s41598-025-13456-9. 

Dastgir, A., Wang, B., Saeed, M. U., Sheng, J., & Saleem, S. 2025. “MAFMv3: An automated Multi-Scale Attention-Based Feature Fusion MobileNetv3 for spine lesion classification.” Image and Vision Computing, 155, 105440. https://doi.org/10.1016/j.image.2025.105440. 

Saeed, M. U. 2024. “Enhancing Anemia Detection through Multimodal Data Fusion: A Non-Invasive Approach Using EHRs and Conjunctiva Images.” Discover Artificial Intelligence, November 12, 2024. https://doi.org/10.1007/s44163-024-00196-3. 

Saeed, M. U. 2024. “ET-Network: A novel efficient transformer deep learning model for automated Urdu handwritten text recognition.” PLOS One, May 17, 2024. https://doi.org/10.1371/journal.pone.0302590.

Saeed, M. U. 2024. “Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms.” Visual Computing for Industry, Biomedicine, and Art, July 17, 2024. https://doi.org/10.1186/s42492-024-00169-4.

Saeed, M. U. 2024. “Enhancing facial recognition accuracy through multi-scale feature fusion and spatial attention mechanisms.” Electronic Research Archive, March 21, 2024. 10.3934/era.2024103.

Saeed, M. U. 2024. “Efficient-MobileNet: A Feature Fusion Approach for Vehicle Driver Behavior Detection and Classification.” The 26th IEEE International Conference on High Performance Computing and Communications (IEEE HPCC 2024), December 13, 2024. ieeexplore.ieee.org/document/11083159.

Saeed, M. U. 2024. “Autoencoder with Multi-Head Attention for Voltage Anomaly Detection in Electric Vehicle Battery.” The 26th IEEE International Conference on High Performance Computing and Communications (IEEE HPCC 2024), December 13, 2024. ieeexplore.ieee.org/document/11083325. 

Saeed, M. U. 2024. “Spine Image Reconstruction and Lesion Classification Based on Transfer Learning and Quantum Convolutional Neural Network.” The 26th IEEE International Conference on High Performance Computing and Communications (IEEE HPCC 2024), December 13, 2024. ieeexplore.ieee.org/document/11083346. 

Saeed, M. U. 2023. “MAFF: A Novel MobileNetV3 Attention Feature Fusion Network for Automatic Vehicle Classification.” 2023 6th International Conference on Software Engineering and Computer Science (CSECS), December 22, 2023. 10.1109/CSECS60003.2023.10428161.