Mugahed A. Al-antari

Orcid: 0000-0002-4457-4407

According to our database1, Mugahed A. Al-antari authored at least 23 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Deep ensemble transfer learning framework for COVID-19 Arabic text identification via deep active learning and text data augmentation.
Multim. Tools Appl., October, 2024

Pre-Trained Transformer-Based Models for Text Classification Using Low-Resourced Ewe Language.
Syst., 2024

Deep learning myocardial infarction segmentation framework from cardiac magnetic resonance images.
Biomed. Signal Process. Control., 2024

Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review.
IEEE Access, 2024

2023
A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images.
Biomed. Signal Process. Control., September, 2023

MCLSG:Multi-modal classification of lung disease and severity grading framework using consolidated feature engineering mechanisms.
Biomed. Signal Process. Control., August, 2023

Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images.
J. King Saud Univ. Comput. Inf. Sci., July, 2023

A hybrid deep learning pavement crack semantic segmentation.
Eng. Appl. Artif. Intell., 2023

FXAI: Fusing XAI for Predicting COVID-19 Using Diverse Chest X - Ray Images.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

MDAU-Net: A Multi-Scale U-Net with Dual Attention Module for Pavement Crack Segmentation.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

2022
A Hybrid Deep Transfer Learning of CNN-Based LR-PCA for Breast Lesion Diagnosis via Medical Breast Mammograms.
Sensors, 2022

Dual-Sensor Signals Based Exact Gaussian Process-Assisted Hybrid Feature Extraction and Weighted Feature Fusion for Respiratory Rate and Uncertainty Estimations.
Sensors, 2022

Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal.
IEEE Access, 2022

2021
Natural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network.
Appl. Intell., 2021

"Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images".
Appl. Intell., 2021

ArCAR: A Novel Deep Learning Computer-Aided Recognition for Character-Level Arabic Text Representation and Recognition.
Algorithms, 2021

2020
Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms.
Comput. Methods Programs Biomed., 2020

2018
A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
Int. J. Medical Informatics, 2018

Simultaneous Detection and Classification of Breast Masses in Digital Mammograms via a Deep Learning YOLO-based CAD System.
Comput. Methods Programs Biomed., 2018

Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks.
Comput. Methods Programs Biomed., 2018

2017
Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

Non-local means filter denoising for DEXA images.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
A Depth Camera-based Human Activity Recognition via Deep Learning Recurrent Neural Network for Health and Social Care Services.
Proceedings of the International Conference on ENTERprise Information Systems/International Conference on Project MANagement/International Conference on Health and Social Care Information Systems and Technologies, 2016


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