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ORCIDMugahed A. Al-antari
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2020 – today
- 2024
[j18]Dilek Ozkan
, Oguzhan Katar, Murat Ak, Mugahed A. Al-antari, Nehir Yasan-Ak, Özal Yildirim, Hasan S. Mir, Ru San Tan, U. Rajendra Acharya:
Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review. IEEE Access 12: 127879-127902 (2024)- [j17]Mugahed A. Al-antari, Zakarya Farea Shaaf, M. Mahadi Abdul Jamil, Nagwan M. Abdel Samee, Reem Alkanhel, Muhammed Talo, Zaid Al-Huda:
Deep learning myocardial infarction segmentation framework from cardiac magnetic resonance images. Biomed. Signal Process. Control. 89: 105710 (2024) - [j16]Abdullah Yahya Mohammed Muaad, Hanumanthappa J. Jayappa Davanagere, Jamil Hussain, Mugahed A. Al-antari:
Deep ensemble transfer learning framework for COVID-19 Arabic text identification via deep active learning and text data augmentation. Multim. Tools Appl. 83(33): 79337-79375 (2024) - [j15]Victor Kwaku Agbesi, Wenyu Chen, Sophyani Banaamwini Yussif, Md Altab Hossin, Chiagoziem Chima Ukwuoma, Noble Arden Elorm Kuadey, Colin Collinson Agbesi, Nagwan M. Abdel Samee, Mona M. Jamjoom, Mugahed A. Al-antari:
Pre-Trained Transformer-Based Models for Text Classification Using Low-Resourced Ewe Language. Syst. 12(1): 1 (2024) - 2023
- [j14]Abobaker Mohammed Qasem Farhan, Shangming Yang, Abdulrahman Q. S. Al-Malahi, Mugahed A. Al-antari:
MCLSG:Multi-modal classification of lung disease and severity grading framework using consolidated feature engineering mechanisms. Biomed. Signal Process. Control. 85: 104916 (2023) - [j13]Asaad Anaam, Mugahed A. Al-antari, Akio Gofuku:
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. 86(Part B): 105191 (2023) - [j12]Zaid Al-Huda, Bo Peng, Riyadh Nazar Ali Algburi, Mugahed A. Al-antari, Rabea Al-Jarazi, Donghai Zhai:
A hybrid deep learning pavement crack semantic segmentation. Eng. Appl. Artif. Intell. 122: 106142 (2023) - [j11]Chiagoziem Chima Ukwuoma, Dongsheng Cai, Md Belal Bin Heyat, Olusola Bamisile, Humphrey Adun, Zaid Al-Huda, Mugahed A. Al-antari:
Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images. J. King Saud Univ. Comput. Inf. Sci. 35(7): 101596 (2023) - [c5]Radhwan A. A. Saleh, Shawqi M. O. Farea, Zaid Al-Huda, H. Metin Ertunç, Daniel Kvak, Mugahed A. Al-antari:
FXAI: Fusing XAI for Predicting COVID-19 Using Diverse Chest X - Ray Images. ISKE 2023: 86-92 - [c4]Zaid Al-Huda, Bo Peng, Mugahed A. Al-antari, Riyadh Nazar Ali Algburi, Radhwan A. A. Saleh, Khaled Moghalles:
MDAU-Net: A Multi-Scale U-Net with Dual Attention Module for Pavement Crack Segmentation. ISKE 2023: 170-177 - 2022
- [j10]Pragati Tripathi, M. A. Ansari, Tapan Kumar Gandhi, Rajat Mehrotra, Md Belal Bin Heyat, Faijan Akhtar, Chiagoziem Chima Ukwuoma, Abdullah Yahya Mohammed Muaad, Yasser M. Kadah, Mugahed A. Al-antari, Jianping Li:
Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal. IEEE Access 10: 108710-108721 (2022) - [j9]Nagwan M. Abdel Samee, Amel Ali Alhussan, Vidan Fathi Ghoneim, Ghada Atteia, Reem Alkanhel, Mugahed A. Al-antari, Yasser M. Kadah:
A Hybrid Deep Transfer Learning of CNN-Based LR-PCA for Breast Lesion Diagnosis via Medical Breast Mammograms. Sensors 22(13): 4938 (2022) - [j8]Soojeong Lee, Hyeonjoon Moon, Mugahed A. Al-antari, Gangseong Lee:
Dual-Sensor Signals Based Exact Gaussian Process-Assisted Hybrid Feature Extraction and Weighted Feature Fusion for Respiratory Rate and Uncertainty Estimations. Sensors 22(21): 8386 (2022) - 2021
- [j7]Abdullah Yahya Mohammed Muaad, Hanumanthappa Jayappa, Mugahed A. Al-antari, Sungyoung Lee:
ArCAR: A Novel Deep Learning Computer-Aided Recognition for Character-Level Arabic Text Representation and Recognition. Algorithms 14(7): 216 (2021) - [j6]Edwin Valarezo Añazco, Patricio Rivera Lopez, Nahyeon Park, Jiheon Oh, Gahyeon Ryu, Mugahed A. Al-antari, Tae-Seong Kim:
Natural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network. Appl. Intell. 51(2): 1041-1055 (2021) - [j5]Mugahed A. Al-antari, Cam-Hao Hua, Jaehun Bang, Sungyoung Lee:
"Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images". Appl. Intell. 51(5): 2890-2907 (2021) - 2020
- [j4]Mugahed A. Al-antari, Seung-Moo Han, Tae-Seong Kim:
Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms. Comput. Methods Programs Biomed. 196: 105584 (2020)
2010 – 2019
- 2018
- [j3]Mohammed A. Al-masni, Mugahed A. Al-antari, Jeong-min Park, Geon Gi, Tae-Yeon Kim, Patricio Rivera, Edwin Valarezo, Mun-Taek Choi, Seung-Moo Han, Tae-Seong Kim:
Simultaneous Detection and Classification of Breast Masses in Digital Mammograms via a Deep Learning YOLO-based CAD System. Comput. Methods Programs Biomed. 157 (2018) - [j2]Mohammed A. Al-masni, Mugahed A. Al-antari, Mun-Taek Choi, Seung-Moo Han, Tae-Seong Kim:
Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks. Comput. Methods Programs Biomed. 162: 221-231 (2018) - [j1]Mugahed A. Al-antari, Mohammed A. Al-masni, Mun-Taek Choi, Seung-Moo Han, Tae-Seong Kim:
A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification. Int. J. Medical Informatics 117: 44-54 (2018) - 2017
- [c3]Mugahed A. Al-antari, Mohammed A. Al-masni, Mohamed K. Metwally, Dildar Hussain, Edwin Valarezo, Patricio Rivera, Geon Gi, Jeong-min Park, Tae-Yeon Kim, Se-Je Park, Jeong-Sik Shin, Seung-Moo Han, Tae-Seong Kim:
Non-local means filter denoising for DEXA images. EMBC 2017: 572-575 - [c2]Mohammed A. Al-masni, Mugahed A. Al-antari, Jeong-min Park, Geon Gi, Tae-Yeon Kim, Patricio Rivera, Edwin Valarezo, Seung-Moo Han, Tae-Seong Kim:
Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network. EMBC 2017: 1230-1233 - 2016
- [c1]S. U. Park, J. H. Park, Mohammed A. Al-Masni, Mugahed A. Al-antari, Md. Z. Uddin, Tae-Seong Kim:
A Depth Camera-based Human Activity Recognition via Deep Learning Recurrent Neural Network for Health and Social Care Services. CENTERIS/ProjMAN/HCist 2016: 78-84
Coauthor Index
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