M. A. Al-antari

发表

A Depth Camera-based Human Activity Recognition via Deep Learning Recurrent Neural Network for Health and Social Care Services

Md. Zia Uddin, Tae-Seong Kim, S. U. Park, 2016, CENTERIS/ProjMAN/HCist.

Detection and classification of the breast abnormalities in digital mammograms via regional Convolutional Neural Network

M. A. Al-masni, M. A. Al-antari, J. M. Park, 2017, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Single Depth Sensor Based Human Activity Recognition via Convolutional Neural Network

Md. Zia Uddin, S. U. Park, M. A. Al-masni, 2017 .

A rapid algebraic 3D volume image reconstruction technique for cone beam computed tomography

M. A. Al-masni, M. A. Al-antari, Y. Kadah, 2017 .

A Rapid Deep Learning Computer-Aided Diagnosis to Simultaneously Detect and Classify the Novel COVID-19 Pandemic

M. A. Al-antari, Sungyoung Lee, D. Choi, 2021, 2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES).

Arabic Document Classification: Performance Investigation of Preprocessing and Representation Techniques

M. A. Al-antari, Abdullah Y. Muaad, A. Gumaei, 2022, Mathematical Problems in Engineering.

A Hybrid Deep Learning Approach for COVID-19 Diagnosis via CT and X-ray Medical Images

M. A. Al-antari, J. V. Bibal Benifa, Abdullah Y. Muaad, 2021, Computer Sciences & Mathematics Forum.

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

Vidan F. Ghoneim, M. A. Al-antari, Y. Kadah, 2022, Sensors.

A hybrid explainable ensemble transformer encoder for pneumonia identification from chest X-ray images

M. A. Al-antari, Chiagoziem C. Ukwuoma, C. C. Ukwuoma, 2022, Journal of advanced research.

“Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images”

M. A. Al-antari, Sungyoung Lee, J. Bang, 2020, Applied Intelligence.

Deep Learning-Based Software Defect Prediction via Semantic Key Features of Source Code—Systematic Survey

M. A. Al-antari, K. Hamad, Hakim A. Abdo, 2022, Mathematics.

Ensemble Computational Intelligent for Insomnia Sleep Stage Detection via the Sleep ECG Signal

Md Belal Bin Heyat, M. A. Ansari, M. A. Al-antari, 2022, IEEE Access.

Artificial Intelligence-Based Approach for Misogyny and Sarcasm Detection from Arabic Texts

M. A. Al-antari, Abdullah Y. Muaad, Amerah Alabrah, 2022, Computational intelligence and neuroscience.

BCNet: A Deep Learning Computer-Aided Diagnosis Framework for Human Peripheral Blood Cell Identification

M. A. Al-antari, Md Belal Bin Heyat, Y. Kadah, 2022, Diagnostics.

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

Sungyoung Lee, Mugahed A. Al-antari, M. A. Al-antari, 2021, Algorithms.

Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks

Mun-Taek Choi, Mugahed A. Al-antari, Seung-Moo Han, 2018, Comput. Methods Programs Biomed..

Simultaneous Detection and Classification of Breast Masses in Digital Mammograms via a Deep Learning YOLO-based CAD System

Edwin Valarezo, Mun-Taek Choi, Tae-Yeon Kim, 2018, Comput. Methods Programs Biomed..

Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms

Tae-Seong Kim, M. A. Al-antari, Seung-Moo Han, 2020, Comput. Methods Programs Biomed..

Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram.

Tae-Seong Kim, M. A. Al-masni, M. A. Al-antari, 2020, Advances in experimental medicine and biology.

An Automatic Computer-Aided Diagnosis System for Breast Cancer in Digital Mammograms via Deep Belief Network

Yasser M. Kadah, Mugahed A. Al-antari, Seung-Moo Han, 2018 .

Deep Learning Cascaded Feature Selection Framework for Breast Cancer Classification: Hybrid CNN with Univariate-Based Approach

M. A. Al-antari, Y. Kadah, G. Atteia, 2022, Mathematics.

ETECADx: Ensemble Self-Attention Transformer Encoder for Breast Cancer Diagnosis Using Full-Field Digital X-ray Breast Images

M. A. Al-antari, A. Sable, Muneer Fazea, 2022, Diagnostics.

A Hybrid Workflow of Residual Convolutional Transformer Encoder for Breast Cancer Classification Using Digital X-ray Mammograms

M. A. Al-masni, M. A. Al-antari, N. A. Samee, 2022, Biomedicines.

A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification

Tae-Seong Kim, Mun-Taek Choi, Mugahed A. Al-antari, 2018, Int. J. Medical Informatics.

Leveraging Deep Learning Decision-Support System in Specialized Oncology Center: A Multi-Reader Retrospective Study on Detection of Pulmonary Lesions in Chest X-ray Images

M. A. Al-antari, Daniel Kvak, R. Hrubý, 2023, Diagnostics.

MCLSG:Multi-modal classification of lung disease and severity grading framework using consolidated feature engineering mechanisms

M. A. Al-antari, Abobaker Mohammed Qasem Farhan, Shangming Yang, 2023, Biomed. Signal Process. Control..

CT and X-Ray Medical Images

M. A. Al-antari, C. Chola, Prof. Jayappa(J) Hanumanthappa Davanagere, 2021 .

A Hybrid Stacked Restricted Boltzmann Machine with Sobel Directional Patterns for Melanoma Prediction in Colored Skin Images

Md Belal Bin Heyat, Belal Abdullah Hezam Murshed, M. A. Al-antari, 2023, Diagnostics.

Gender Identification and Classification of Drosophila melanogaster Flies Using Machine Learning Techniques

D. S. Guru, Abdu Gumaei, Mugahed A. Al-antari, 2022, Comput. Math. Methods Medicine.

Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images

M. A. Al-antari, C. C. Ukwuoma, Humphrey Adun, 2023, Journal of King Saud University - Computer and Information Sciences.

A hybrid deep learning pavement crack semantic segmentation

M. A. Al-antari, Riyadh Nazar Ali Algburi, Zaid Al-Huda, 2023, Eng. Appl. Artif. Intell..

A Deep Learning Model Integrating FrCN and Residual Convolutional Networks for Skin Lesion Segmentation and Classification

Mugahed A. Al-antari, Tae-Seong Kim, M. A. Al-masni, 2019, 2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS).

Artificial Intelligence for Medical Diagnostics—Existing and Future AI Technology!

M. A. Al-antari, 2023, Diagnostics.

Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system

M. A. Al-masni, M. A. Al-antari, Mun-Taek Choi, 2018 .

A Hybrid Ensemble Learning with Generative Adversarial Networks for HEp-2 Cell Image Classification

M. A. Al-antari, A. Gofuku, Asaad Anaam, 2022, 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES).

Natural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network

M. A. Al-antari, Tae-Seong Kim, Edwin Valarezo Añazco, 2020, Applied intelligence (Boston).

Deep Active Learning for Automatic Mitotic Cell Detection on HEp-2 Specimen Medical Images

M. A. Al-antari, Nagwan Abdel Samee, Jamil Hussain, 2023, Diagnostics.

A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images

M. A. Al-antari, Akio Gofuku, Asaad Anaam, 2023, Biomedical Signal Processing and Control.

A Comprehensive Review and Analysis of Deep Learning-Based Medical Image Adversarial Attack and Defense

M. A. Al-antari, C. Ejiyi, C. Ukwuoma, 2023, Mathematics.

Computer Methods and Programs in Biomedicine

M. A. Al-antari, Tae-Seong Kim, E. Valarezo, 2022 .

PLDPNet: End-to-end hybrid deep learning framework for potato leaf disease prediction

M. A. Al-antari, Muhammad Mateen, Shaukat Hayat, 2023, Alexandria Engineering Journal.

Pre-Trained Transformer-Based Models for Text Classification Using Low-Resourced Ewe Language

M. A. Al-antari, M. A. Hossin, V. K. Agbesi, 2023, Syst..

Asymmetric dual-decoder-U-Net for pavement crack semantic segmentation

M. A. Al-antari, Riyadh Nazar Ali Algburi, Donghai Zhai, 2023, Automation in Construction.

Comparative Analysis of Artificial Intelligence for Predicting COVID-19 using Diverse Chest X-ray Images

M. A. Al-antari, Radhwan A. A. Saleh, Zaid Al-Huda, 2023, 2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA).

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

M. A. Al-antari, Hyeonjoon Moon, Gangseong Lee, 2022, Sensors.

A hybrid lightweight breast cancer classification framework using the histopathological images

M. A. Al-antari, Daniel Addo, K. Sarpong, 2024, Biocybernetics and Biomedical Engineering.

A unified 2D medical image segmentation network (SegmentNet) through distance-awareness and local feature extraction

M. A. Al-antari, Ariyo Oluwasanmi, Chukwuebuka Joseph Ejiyi, 2024, Biocybernetics and Biomedical Engineering.

Advancements in Artificial Intelligence for Medical Computer-Aided Diagnosis

M. A. Al-antari, 2024, Diagnostics.

Deep learning myocardial infarction segmentation framework from cardiac magnetic resonance images

M. A. Al-antari, Zakarya Farea Shaaf, N. A. Samee, 2024, Biomed. Signal Process. Control..

Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks

M. A. Al-masni, M. A. Al-antari, Mun-Taek Choi, 2018, Comput. Methods Programs Biomed..

Deep Learning Techniques for Automated Dementia Diagnosis Using Neuroimaging Modalities: A Systematic Review

M. A. Al-antari, Ruyan Tan, Oğuzhan Katar, 2024, IEEE Access.