日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Audit-as-code: a policy-as-code framework for continuous AI assurance

审计即代码:一种用于持续人工智能保障的策略即代码框架

Muhammad, Aoun E; Yow, Kin-Choong; Alsenan, Shrooq

State estimator and convolutional neural networks-based fault localization approach for modern grids

基于状态估计器和卷积神经网络的现代电网故障定位方法

Bhutto, Jameel Ahmed; Chauhdary, Sohaib Tahir; Arif, Saad; Niaz, Akbar; Alnamasi, Khaled; Moinuddin, Syed Quadir; Alsenan, Shrooq; Khan, Muhammad Attique

From Annotation to Prediction: Hospital-Grade Early Seizure Risk Prediction from Adult EEG

从标注到预测:基于成人脑电图的医院级早期癫痫发作风险预测

Alharbi, Norah; Aldayel, Mashael; Alsenan, Shrooq; Alyami, Raneem; Almowalad, Enas; Alkethiry, Eman

Morphology-guided attention networks for explainable skin cancer detection under clinical uncertainty

基于形态学引导的注意力网络在临床不确定性下的可解释皮肤癌检测中的作用

Sajid, Muhammad Zaheer; Hamid, Muhammad Fareed; Yang, Zepa; Alhefdi, Mohammad; Alsenan, Shrooq; Nam, Yunyoung

A novel deep semantic- and vision-based self-attention architecture for skin cancer classification

一种用于皮肤癌分类的新型基于深度语义和视觉的自注意力架构

Aftab, Junaid; Khan, Muhammad Attique; Arshad, Sobia; Hussain, Amir; Alsenan, Shrooq; Cho, Yongwon; Nam, Yunyoung

A novel approach in diagnosing knee osteoarthritis for content based image retrieval in big data analytics and medical images

一种用于大数据分析和医学图像中基于内容的图像检索诊断膝骨关节炎的新方法

Bozdag, Pinar Gundogan; Mutlu, Hurşit Burak; Karaduman, Mucahit; Yildirim, Muhammed; Khan, M Attique; Alsenan, Shrooq; Baili, Jamel; Nam, Yunyoung

CoviSwin: A Deep Vision Transformer for Automatic Segmentation of COVID-19 CT Scans

CoviSwin:用于自动分割 COVID-19 CT 扫描图像的深度视觉 Transformer

Alsenan, Alhanouf; Ben Youssef, Belgacem; Alhichri, Haikel S

Work-Related Low Back Pain and Psychological Distress Among Physiotherapists in Saudi Arabia: A Cross-Sectional Study

沙特阿拉伯理疗师工作相关性腰痛和心理困扰:一项横断面研究

Alsenan, Amjad Abdullah; Seyam, Mohamed K; Shawky, Ghada M; Atya, Azza M; Abdel Ghafar, Mohamed A; Hasan, Shahnaz

LIU-NET: lightweight Inception U-Net for efficient brain tumor segmentation from multimodal 3D MRI images

LIU-NET:一种轻量级的 Inception U-Net,用于从多模态 3D MRI 图像中高效分割脑肿瘤。

Shahid, Gul E Sehar; Ahmad, Jameel; Warraich, Chaudary Atif Raza; Ksibi, Amel; Alsenan, Shrooq; Arshad, Arfan; Raza, Rehan; Shaikh, Zaffar Ahmed

Validity of the Arabic version of AAOS-foot and ankle outcomes questionnaire in patients with traumatic foot and ankle injuries

AAOS足踝功能评估问卷阿拉伯语版在创伤性足踝损伤患者中的有效性

AlMousa, Sulaiman A; Alzahrani, Mohammad M; Alzahrani, Bandar A; Alsenan, Ahmed K; Altalib, Abdulraheem A; Alkhamis, Hashem Abdulkarim