Muhammad Owais
Orcid: 0000-0001-7679-081X
According to our database1,
Muhammad Owais
authored at least 28 papers
between 2011 and 2024.
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Bibliography
2024
IEEE Trans. Ind. Informatics, April, 2024
Pattern Recognit., 2024
Unified Synergistic Deep Learning Framework for Multimodal 2-D and 3-D Radiographic Data Analysis: Model Development and Validation.
IEEE Access, 2024
2023
Volumetric Model Genesis in Medical Domain for the Analysis of Multimodality 2-D/3-D Data Based on the Aggregation of Multilevel Features.
IEEE Trans. Ind. Informatics, December, 2023
Transformers for autonomous recognition of psychiatric dysfunction via raw and imbalanced EEG signals.
Brain Informatics, December, 2023
COVID-19 detection and analysis from lung CT images using novel channel boosted CNNs.
Expert Syst. Appl., November, 2023
A comprehensive computer-aided system for an early-stage diagnosis and classification of diabetic macular edema.
J. King Saud Univ. Comput. Inf. Sci., September, 2023
Comput. Secur., September, 2023
MDFU-Net: Multiscale dilated features up-sampling network for accurate segmentation of tumor from heterogeneous brain data.
J. King Saud Univ. Comput. Inf. Sci., May, 2023
Strengthening Deep Learning Model for Robust Screening of Volumetric Chest Radiographic Scans.
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
2022
DMDF-Net: Dual multiscale dilated fusion network for accurate segmentation of lesions related to COVID-19 in lung radiographic scans.
Expert Syst. Appl., 2022
Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images.
Expert Syst. Appl., 2022
2021
Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data.
IEEE J. Biomed. Health Informatics, 2021
Restoration of Motion Blurred Image by Modified DeblurGAN for Enhancing the Accuracies of Finger-Vein Recognition.
Sensors, 2021
Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database.
Appl. Soft Comput., 2021
A Novel Approach to Network's Topology Evolution and Robustness Optimization of Scale Free Networks.
Proceedings of the Complex, Intelligent and Software Intensive Systems, 2021
2020
SlimDeblurGAN-Based Motion Deblurring and Marker Detection for Autonomous Drone Landing.
Sensors, 2020
Deep Learning-Based Detection of Pigment Signs for Analysis and Diagnosis of Retinitis Pigmentosa.
Sensors, 2020
OR-Skip-Net: Outer residual skip network for skin segmentation in non-ideal situations.
Expert Syst. Appl., 2020
ESSN: Enhanced Semantic Segmentation Network by Residual Concatenation of Feature Maps.
IEEE Access, 2020
Modified Conditional Generative Adversarial Network-Based Optical Blur Restoration for Finger-Vein Recognition.
IEEE Access, 2020
2019
Expert Syst. Appl., 2019
2018
IrisDenseNet: Robust Iris Segmentation Using Densely Connected Fully Convolutional Networks in the Images by Visible Light and Near-Infrared Light Camera Sensors.
Sensors, 2018
Visual saliency based redundancy allocation in HEVC compatible multiple description video coding.
Multim. Tools Appl., 2018
Biomechanical Design and Control of Lower Limb Exoskeleton for Sit-to-Stand and Stand-to-Sit Movements.
Proceedings of the 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2018
2011
Incorporating Small Length Data Cells in TCP Frame to Reduce Retransmission of Corrupted Packets.
Proceedings of the Computer Networks - 18th Conference, 2011