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E

Ebrahim Mohammed Senan

Al-Razi University

25H指数
42论文数
2.0K被引数
收录论文 14
发表时间
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Interpretable hybrid digital image analysis model with fuzzy logic system for porosity estimation in clay-influenced sandstone reservoirs基于模糊逻辑系统的可解释混合数字图像分析方法在受黏土影响的砂岩储层孔隙度估计中的应用
errEarth Science Informatics
IF3
err2026-09-07
err0
PREAI
errKhalil Al-Wagih; Ali Mohammed Mohammed Al-Rakhami; Ebrahim Mohammed Senan
err分享
err收藏
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
errScientific Reports
IF3.9
err2026-09-01
err0
errOAAI
errAymen M. Al-Hejri; Wad Ghaban; Sultan S. Alshamrani; Ahmed S. AlGhamdi; Ebrahim Mohammed Senan
err分享
err收藏
Interpretable hybrid CNN–ViT framework with neuro-symbolic clinical decision support for early cervical cancer diagnosis基于神经符号临床决策支持的早期宫颈癌诊断可解释混合CNN–ViT框架
errScientific Reports
IF3.9
err2026-08-04
err0
errOAAI
errHanan T. Halawani; Ebrahim Mohammed Senan; Esam Mohammed Asem Othman; M. Attique Khan; Yousef Asiri; Awad Alyousef; Suliman Mohamed Fati
err分享
err收藏
Efficient and interpretable maximal frequent fuzzy pattern mining with multi phase pruning and ternary search多阶段剪枝和三元搜索的高效且可解释的最大频繁模糊模式挖掘
errScientific Reports
IF3.9
err2026-06-13
err0
errOAAI
errKhalil Al-Wagih; Mukhtar Abdulmomen Abdullah; Ebrahim Mohammed Senan
err分享
err收藏
Analyzing histopathological images using fused CNN features based on the geometric active contour method for early diagnosis of lung and colon cancer基于几何活动轮廓方法融合CNN特征分析病理图像，用于肺癌和结肠癌的早期诊断
errDiscover Oncology
IF2.9
err2025-11-05
err0
errOAAI
errYousef Asiri; Ebrahim Mohammed Senan; Hanan T. Halawani; Ibrahim Abunadi; Aisha M. Mashraqi; Eman A. Alshari
err分享
err收藏
Hybrid deep learning with a random forest system for sustainable agricultural land cover classification using DEM in Najran, Saudi Arabia
errOpen Geosciences
IF1.3
err2025-10-29
err0
errOAAI
errHalawani, Hanan T.; Alshari, Eman A.; Asiri, Yousef; Senan, Ebrahim Mohammed; Mashraqi, Aisha M.; Almoaina, Osama A.
err分享
err收藏
Early detection of Alzheimer's disease progression stages using hybrid of CNN and transformer encoder models利用卷积神经网络和Transformer编码器混合模型对阿尔茨海默病进展阶段进行早期检测
errSCIENTIFIC REPORTS
IF3.9
err2025-05-14
err0
errOAAI
errAlmalki, Hassan; Khadidos, Alaa O.; Alhebaishi, Nawaf; Senan, Ebrahim Mohammed
err分享
err收藏
Enhancing early detection of Alzheimer's disease through hybrid models based on feature fusion of multi-CNN and handcrafted features
errSCIENTIFIC REPORTS
IF3.9
err2024-12-28
err1
errOAAI
errAlayba, Abdulaziz M.; Senan, Ebrahim Mohammed; Alshudukhi, Jalawi Sulaiman
err分享
err收藏
Analysis of Histopathological Images for Early Diagnosis of Oral Squamous Cell Carcinoma by Hybrid Systems Based on CNN Fusion Features
errINTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
IF3.7
err2023-05-30
err2
errOAAI
errAhmed, Ibrahim Abdulrab; Senan, Ebrahim Mohammed; Shatnawi, Hamzeh Salameh Ahmad
err分享
err收藏
Automatic Analysis of MRI Images for Early Prediction of Alzheimer's Disease Stages Based on Hybrid Features of CNN and Handcrafted Features
errDIAGNOSTICS
IF3.3
err2023-05-08
err16
errOAAI
errKhalid, Ahmed; Senan, Ebrahim Mohammed; Al-Wagih, Khalil; Al-Azzam, Mamoun Mohammad Ali; Alkhraisha, Ziad Mohammad
err分享
err收藏
Hybrid Techniques for the Diagnosis of Acute Lymphoblastic Leukemia Based on Fusion of CNN Features
errDIAGNOSTICS
IF3.3
err2023-03-08
err15
errOAAI
errAhmed, Ibrahim Abdulrab; Senan, Ebrahim Mohammed; Shatnawi, Hamzeh Salameh Ahmad; Alkhraisha, Ziad Mohammad; Al-Azzam, Mamoun Mohammad Ali
err分享
err收藏
Early Diagnosis of Oral Squamous Cell Carcinoma Based on Histopathological Images Using Deep and Hybrid Learning Approaches
errDIAGNOSTICS
IF3.3
err2022-08-05
err23
errOAAI
errFati, Suliman Mohamed; Senan, Ebrahim Mohammed; Javed, Yasir
err分享
err收藏
Hybrid and Deep Learning Approach for Early Diagnosis of Lower Gastrointestinal Diseases
errSENSORS
IF3.5
err2022-05-27
err31
errOAAI
errFati, Suliman Mohamed; Senan, Ebrahim Mohammed; Azar, Ahmad Taher
err分享
err收藏
Multi-Method Diagnosis of Blood Microscopic Sample for Early Detection of Acute Lymphoblastic Leukemia Based on Deep Learning and Hybrid Techniques基于深度学习和混合技术的血液显微样本多方法诊断早期检测急性淋巴细胞白血病
errSENSORS
IF3.5
err2022-02-19
err41
errOAAI
errAbunadi, Ibrahim; Senan, Ebrahim Mohammed
err分享
err收藏

研究方向

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合作学者
合作期刊
A
Ahmad Taher Azar
H 指数: 68 · 论文数: 677
Y
Yasir Javed
H 指数: 27 · 论文数: 151
S
Suliman Mohamed Fati
H 指数: 26 · 论文数: 88
I
Ibrahim Abunadi
H 指数: 21 · 论文数: 55
A
Alaa O. Khadidos
H 指数: 19 · 论文数: 104
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