A Depth Camera-based Human Activity Recognition via Deep Learning Recurrent Neural Network for Health and Social Care Services. - S. U. Park; J. H. Park; Mohammed A. Al-Masni; Mugahed A. Al-antari; Md. Zia Uddin; Tae-Seong Kim 001 (CENTERIS/ProjMAN/HCist, 2016)

Non-local means filter denoising for DEXA images. - 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; et al. (EMBC, 2017)

Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network. - 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 001 (EMBC, 2017)

Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks. - Mohammed A. Al-masni; Mugahed A. Al-antari; Mun-Taek Choi; Seung-Moo Han; Tae-Seong Kim 001 (Comput. Methods Programs Biomed., 2018)

Simultaneous Detection and Classification of Breast Masses in Digital Mammograms via a Deep Learning YOLO-based CAD System. - 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 001 (Comput. Methods Programs Biomed., 2018)

A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification. - Mugahed A. Al-antari; Mohammed A. Al-masni; Mun-Taek Choi; Seung-Moo Han; Tae-Seong Kim 001 (Int. J. Medical Informatics, 2018)

Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms. - Mugahed A. Al-antari; Seung-Moo Han; Tae-Seong Kim 001 (Comput. Methods Programs Biomed., 2020)

ArCAR: A Novel Deep Learning Computer-Aided Recognition for Character-Level Arabic Text Representation and Recognition. - Abdullah Yahya Mohammed Muaad; Hanumanthappa Jayappa; Mugahed A. Al-antari; Sungyoung Lee 001 (Algorithms, 2021)

"Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images". - Mugahed A. Al-antari; Cam-Hao Hua; Jaehun Bang; Sungyoung Lee 001 (Appl. Intell., 2021)

Natural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network. - Edwin Valarezo Añazco; Patricio Rivera Lopez; Nahyeon Park; Jiheon Oh; Gahyeon Ryu; Mugahed A. Al-antari; Tae-Seong Kim 001 (Appl. Intell., 2021)

Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal. - 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 002 (IEEE Access, 2022)

Dual-Sensor Signals Based Exact Gaussian Process-Assisted Hybrid Feature Extraction and Weighted Feature Fusion for Respiratory Rate and Uncertainty Estimations. - Soojeong Lee; Hyeonjoon Moon; Mugahed A. Al-antari; Gangseong Lee (Sensors, 2022)

A Hybrid Deep Transfer Learning of CNN-Based LR-PCA for Breast Lesion Diagnosis via Medical Breast Mammograms. - Nagwan M. Abdel Samee; Amel Ali Alhussan; Vidan Fathi Ghoneim; Ghada Atteia; Reem Alkanhel; Mugahed A. Al-antari; Yasser M. Kadah (Sensors, 2022)

MDAU-Net: A Multi-Scale U-Net with Dual Attention Module for Pavement Crack Segmentation. - Zaid Al-Huda; Bo Peng 006; Mugahed A. Al-antari; Riyadh Nazar Ali Algburi; Radhwan A. A. Saleh; Khaled Moghalles (ISKE, 2023)

FXAI: Fusing XAI for Predicting COVID-19 Using Diverse Chest X - Ray Images. - Radhwan A. A. Saleh; Shawqi M. O. Farea; Zaid Al-Huda; H. Metin Ertunç; Daniel Kvak; Mugahed A. Al-antari (ISKE, 2023)

A hybrid deep learning pavement crack semantic segmentation. - Zaid Al-Huda; Bo Peng 006; Riyadh Nazar Ali Algburi; Mugahed A. Al-antari; Rabea Al-Jarazi; Donghai Zhai (Eng. Appl. Artif. Intell., 2023)

Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images. - Chiagoziem Chima Ukwuoma; Dongsheng Cai; Md Belal Bin Heyat; Olusola Bamisile; Humphrey Adun; Zaid Al-Huda; Mugahed A. Al-antari (J. King Saud Univ. Comput. Inf. Sci., 2023)

MCLSG:Multi-modal classification of lung disease and severity grading framework using consolidated feature engineering mechanisms. - Abobaker Mohammed Qasem Farhan; Shangming Yang; Abdulrahman Q. S. Al-Malahi; Mugahed A. Al-antari (Biomed. Signal Process. Control., 2023)

A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images. - Asaad Anaam; Mugahed A. Al-antari; Akio Gofuku (Biomed. Signal Process. Control., 2023)

Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review. - Dilek Ozkan; Oguzhan Katar; Murat Ak; Mugahed A. Al-antari; Nehir Yasan-Ak; Özal Yildirim; Hasan Saeed Mir; Ru-San Tan; U. Rajendra Acharya (IEEE Access, 2024)

Deep learning myocardial infarction segmentation framework from cardiac magnetic resonance images. - Mugahed A. Al-antari; Zakarya Farea Shaaf; M. Mahadi Abdul Jamil; Nagwan M. Abdel Samee; Reem Alkanhel; Muhammed Talo; Zaid Al-Huda (Biomed. Signal Process. Control., 2024)

Pre-Trained Transformer-Based Models for Text Classification Using Low-Resourced Ewe Language. - Victor Kwaku Agbesi; Wenyu Chen 001; 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 (Syst., 2024)

Deep ensemble transfer learning framework for COVID-19 Arabic text identification via deep active learning and text data augmentation. - Abdullah Yahya Mohammed Muaad; Hanumanthappa J. Jayappa Davanagere; Jamil Hussain; Mugahed A. Al-antari (Multim. Tools Appl., 2024)

A novel framework integrating ensemble transfer learning and Ant Colony Optimization for Knee Osteoarthritis severity classification. - Isra Malik; Mussarat Yasmin; Ahmed Iqbal; Mudassar Raza; Chang-Jae Chun; Mugahed A. Al-antari (Multim. Tools Appl., 2024)

Deep Learning IoT Malware Analysis: Investigation and Understanding. - Muhammed Amin Abdullah; Yongbin Yu 001; Jingye Cai; Daniel Addo; Edem K. Bankas; Yeong Hyeon Gu; Ali Alqahtani 001; Mugahed A. Al-antari (Neural Comput. Appl., 2025)

Evaluating AI-powered predictive solutions for MRI in lumbar spinal stenosis: a systematic review. - Mugahed A. Al-antari; Saied Salem; Mukhlis Raza; Ahmed S. Elbadawy; Ertan Bütün; Ahmet Arif Aydin; Murat Aydogan; Bilal Ertugrul; Muhammed Talo; Yeong Hyeon Gu (Artif. Intell. Rev., 2025)