Aymen M. Al-Hejri - Publications, H-index & Citations

Aymen M. Al-Hejri

university of albaydha

8H指数

22论文数

288被引数

收录论文 13

发表时间

Boundary-interior ratio: a spatially decomposed evaluation framework for CNN and mamba-based breast ultrasound segmentation 边界-内部比例：一种空间分解评估框架，用于CNN和Mamba基底的乳腺超声分割

Scientific Reports

IF3.9

2026-09-01

OAAI

Aymen M. Al-Hejri; Wad Ghaban; Sultan S. Alshamrani; Ahmed S. AlGhamdi; Ebrahim Mohammed Senan

Improving IoT security through an explainable hybrid CNN-transformer model and federated learning 通过可解释的混合CNN-Transformer模型和联邦学习提升物联网安全

Scientific Reports

IF3.9

2026-05-27

OAAI

Aymen M. Al-Hejri; Riyadh M. Al-Tam; Archana Harsing Sable; Sultan S. Alshamrani; Kaled M. Alshmrany; Abdullah Alshehri

Enhancement of cryptography algorithms for security of cloud-based IoT with machine learning models 基于机器学习模型的云计算物联网安全加密算法增强

Scientific Reports

IF3.9

2026-03-26

OAAI

Mohammed Ali Qasem; Bokare Madhav Motiram; Suryakant Thorat; Aymen M. Al-Hejri; Sultan S. Alshamrani; Kaled M. Alshmrany

An Interpretable Ensemble Transformer Framework for Breast Cancer Detection in Ultrasound Images 一种用于超声图像中乳腺癌检测的可解释集成Transformer框架

Diagnostics

IF3.3

2026-02-27

OAAI

Riyadh M. Al-Tam; Aymen M. Al-Hejri; Fatma A. Hashim; Sachin M. Narangale; Mugahed A. Al-Antari; Sarah A. Alzakari

Predicting tourism growth in Saudi Arabia with machine learning models for vision 2030 perspective 基于视觉2030视角的机器学习模型预测沙特阿拉伯的旅游业增长

Scientific Reports

IF3.9

2026-01-20

OAAI

Amjad Ghazai Alsulami; Amal Alharbi; Usman Ali Khan; Aymen M. Al-Hejri; Sultan S. Alshamrani; Jasem Almotiri

A hybrid vision transformer with ensemble CNN framework for cervical cancer diagnosis 一种结合集成CNN框架的混合视觉Transformer用于宫颈癌诊断

BMC Medical Informatics and Decision Making

IF3.8

2025-11-06

OAAI

Aymen M. Al-Hejri; Riyadh M. Al-Tam; Archana Harsing Sable; Basheer Almuhaya; Sultan S. Alshamrani; Kaled M. Alshmrany

A hybrid explainable federated-based vision transformer framework for breast cancer prediction via risk factors 一种基于混合可解释联邦学习的视觉Transformer框架，用于通过风险因素进行乳腺癌预测

SCIENTIFIC REPORTS

IF3.9

2025-05-27

OAAI

Al-Hejri, Aymen M.; Sable, Archana Harsing; Al-Tam, Riyadh M.; Al-antari, Mugahed A.; Alshamrani, Sultan S.; Alshmrany, Kaled M.; Alatebi, Wedad

A hybrid segmentation and classification CAD framework for automated myocardial infarction prediction from MRI images 一种基于MRI图像的自动化心肌梗死预测的混合分割与分类CAD框架

SCIENTIFIC REPORTS

IF3.9

2025-04-23

OAAI

Al-Antari, Mugahed A.; Al-Tam, Riyadh M.; Al-Hejri, Aymen M.; Al-Huda, Zaid; Lee, Soojeong; Yildirim, Oezal

Multimodal breast cancer hybrid explainable computer-aided diagnosis using medical mammograms and ultrasound Images

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING

IF6.6

2024-07-01

PREAI

Al-Tam, Riyadh M.; Al-Hejri, Aymen M.; Alshamrani, Sultan S.; Al-antari, Mugahed A.; Narangale, Sachin M.

A Hybrid Framework of Transformer Encoder and Residential Conventional for Cardiovascular Disease Recognition Using Heart Sounds

IEEE ACCESS

IF3.6

2024-01-01

OAAI

Al-Tam, Riyadh M.; Al-Hejri, Aymen M.; Naji, Ebrahim; Hashim, Fatma A.; Alshamrani, Sultan S.; Alshehri, Abdullah; Narangale, Sachin M.

Using deep DenseNet with cyclical learning rate to classify leukocytes for leukemia identification 使用具有循环学习率的深度DenseNet对白细胞进行分类以识别白血病

FRONTIERS IN ONCOLOGY

IF3.3

2023-09-12

OAAI

Houssein, Essam H.; Mohamed, Osama; Samee, Nagwan Abdel; Mahmoud, Noha F.; Talaat, Rawan; Al-Hejri, Aymen M.; Al-Tam, Riyadh M.

ETECADx: Ensemble Self-Attention Transformer Encoder for Breast Cancer Diagnosis Using Full-Field Digital X-ray Breast Images ETECADx: 使用全场数字x射线乳腺图像进行乳腺癌诊断的集成自我注意变压器编码器

DIAGNOSTICS

IF3.3

2022-12-28

OAAI

Al-Hejri, Aymen M.; Al-Tam, Riyadh M.; Fazea, Muneer; Sable, Archana Harsing; Lee, Soojeong; Al-antari, Mugahed A.

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

BIOMEDICINES

IF3.9

2022-11-18

OAAI

Al-Tam, Riyadh M.; Al-Hejri, Aymen M.; Narangale, Sachin M.; Samee, Nagwan Abdel; Mahmoud, Noha F.; Al-masni, Mohammed A.; Al-antari, Mugahed A.

研究方向