Muhammad Usman
Orcid: 0000-0002-7278-8488Affiliations:
- COMSATS University Islamabad (CUI), Pakistan
According to our database1,
Muhammad Usman authored at least 28 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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on orcid.org
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Bibliography
2026
Advancing Metaverse-Based Healthcare With Multimodal Neuroimaging Fusion via Multi-Task Adversarial Variational Autoencoder for Brain Age Estimation.
IEEE J. Biomed. Health Informatics, March, 2026
SA-AVAE: A sex-Aware adversarial variational autoencoder network for biological brain age estimation in IoMT-Enabled multimodal neuroimages.
Internet Things, 2026
PHOG-Net: An interpretable and efficient hybrid CNN framework for medical image classification using gradient histogram integration.
Appl. Soft Comput., 2026
SSMT-Net: A Semi-Supervised Multitask Transformer-Based Network for Thyroid Nodule Segmentation in Ultrasound Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
2025
CoRR, December, 2025
Dual-Encoder Transformer-Based Multimodal Learning for Ischemic Stroke Lesion Segmentation Using Diffusion MRI.
CoRR, December, 2025
Anatomy-Guided Representation Learning Using a Transformer-Based Network for Thyroid Nodule Segmentation in Ultrasound Images.
CoRR, December, 2025
GDSSA-Net: A gradually deeply supervised self-ensemble attention network for IoMT-integrated thyroid nodule segmentation.
Internet Things, 2025
Multi-encoder self-adaptive hard attention network with maximum intensity projections for lung nodule segmentation.
Comput. Biol. Medicine, 2025
2024
LDMRes-Net: A Lightweight Neural Network for Efficient Medical Image Segmentation on IoT and Edge Devices.
IEEE J. Biomed. Health Informatics, July, 2024
Intelligent healthcare system for IoMT-integrated sonography: Leveraging multi-scale self-guided attention networks and dynamic self-distillation.
Internet Things, April, 2024
MEDS-Net: Multi-encoder based self-distilled network with bidirectional maximum intensity projections fusion for lung nodule detection.
Eng. Appl. Artif. Intell., 2024
Biological Brain Age Estimation using Sex-Aware Adversarial Variational Autoencoder with Multimodal Neuroimages.
CoRR, 2024
Multi-Task Adversarial Variational Autoencoder for Estimating Biological Brain Age with Multimodal Neuroimaging.
CoRR, 2024
2023
MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images.
Expert Syst. Appl., April, 2023
DEHA-Net: A Dual-Encoder-Based Hard Attention Network with an Adaptive ROI Mechanism for Lung Nodule Segmentation.
Sensors, February, 2023
Selective Deeply Supervised Multi-Scale Attention Network for Brain Tumor Segmentation.
Sensors, February, 2023
LDMRes-Net: Enabling Real-Time Disease Monitoring through Efficient Image Segmentation.
CoRR, 2023
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan.
CoRR, 2023
2022
Dual-Stage Deeply Supervised Attention-Based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans.
Sensors, 2022
Cascade multiscale residual attention CNNs with adaptive ROI for automatic brain tumor segmentation.
Inf. Sci., 2022
MEDS-Net: Self-Distilled Multi-Encoders Network with Bi-Direction Maximum Intensity projections for Lung Nodule Detection.
CoRR, 2022
Dual-Stage Deeply Supervised Attention-based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans.
CoRR, 2022
2020
IEEE Trans. Artif. Intell., 2020
2019
Motion Corrected Multishot MRI Reconstruction Using Generative Networks with Sensitivity Encoding.
CoRR, 2019
2018
CoRR, 2018
Proceedings of the 2018 International Conference on Frontiers of Information Technology, 2018