Muhammad Usman Saeed

According to our database, Muhammad Usman Saeed authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Empowering cardiovascular diagnostics with SET-MobileNet: A lightweight and accurate deep learning based classification approach.

Zunair Safdar, Jinfang Sheng, Muhammad Usman Saeed, Muhammad Ramzan, A. Al-Zubaidi

Image Vis. Comput., 2025

MAFMv3: An automated Multi-Scale Attention-Based Feature Fusion MobileNetv3 for spine lesion classification.

Aqsa Dastgir, Bin Wang, Muhammad Usman Saeed, Jinfang Sheng, Salman Saleem

Image Vis. Comput., 2025

3D MFA: An automated 3D Multi-Feature Attention based approach for spine segmentation using a multi-stage network pruning.

Muhammad Usman Saeed, Wang Bin, Jinfang Sheng, Salman Saleem

Comput. Biol. Medicine, 2025

Multimodal Lumbar Spine Segmentation Pipeline with Optimized Deep Learning and Network Pruning.

Muhammad Usman Saeed, Wang Bin, Jinfang Sheng

Proceedings of the International Joint Conference on Neural Networks, 2025

Omni-V2X: A Vision-Language Model for Actionable Insights in Vehicle-to-Everything Systems.

Nicanor Mayumu, Xiaoheng Deng, Patrick Mukala, Saif Ur Rehman Khan, Muhammad Usman Saeed

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms.

Muhammad Ramzan, Jinfang Sheng, Muhammad Usman Saeed, Bin Wang, Faisal Z. Duraihem

Vis. Comput. Ind. Biomed. Art, December, 2024

An Automated Multi-scale Feature Fusion Network for Spine Fracture Segmentation Using Computed Tomography Images.

Muhammad Usman Saeed, Bin Wang, Jinfang Sheng, Hussain Mobarak Albarakati

J. Imaging Inform. Medicine, 2024

Enhancing anemia detection through multimodal data fusion: a non-invasive approach using EHRs and conjunctiva images.

Muhammad Ramzan, Muhammad Usman Saeed, Ghulam Ali

Discov. Artif. Intell., 2024

MSFF: An automated multi-scale feature fusion deep learning model for spine fracture segmentation using MRI.

Muhammad Usman Saeed, Bin Wang, Jinfang Sheng, Hussain Mobarak Albarakati, Aqsa Dastgir

Biomed. Signal Process. Control., 2024

2023

3D MRU-Net: A novel mobile residual U-Net deep learning model for spine segmentation using computed tomography images.

Muhammad Usman Saeed, Bin Wang, Jinfang Sheng, Ghulam Ali, Aqsa Dastgir

Biomed. Signal Process. Control., September, 2023