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

Explainable attention based breast tumor segmentation using a combination of UNet, ResNet, DenseNet, and EfficientNet models

基于可解释注意力机制的乳腺肿瘤分割，结合了 UNet、ResNet、DenseNet 和 EfficientNet 模型

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-024-84504-y
Anari, Shokofeh; Sadeghi, Soroush; Sheikhi, Ghazaal; Ranjbarzadeh, Ramin; Bendechache, Malika
肿瘤
肿瘤免疫
发表日期：2025
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ALL diagnosis: can efficiency and transparency coexist? An explainble deep learning approach

ALL诊断：效率和透明度能否共存？一种可解释的深度学习方法

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-97297-5
Muhammad, Dost; Salman, Muhammad; Keles, Ayse; Bendechache, Malika
发表日期：2025
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More than just a heatmap: elevating XAI with rigorous evaluation metrics

不仅仅是热图：利用严格的评估指标提升可解释人工智能 (XAI) 水平

期刊:Frontiers in Medical Technology
影响因子:3.8
doi:10.3389/fmedt.2025.1674343
Muhammad, Dost; Bendechache, Malika
发表日期：2025
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Unveiling the black box: A systematic review of Explainable Artificial Intelligence in medical image analysis

揭开黑箱：医学图像分析中可解释人工智能的系统性综述

期刊:Computational and Structural Biotechnology Journal
影响因子:4.1
doi:10.1016/j.csbj.2024.08.005
Muhammad, Dost; Bendechache, Malika
发表日期：2024
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EfficientUNetViT: Efficient Breast Tumor Segmentation Utilizing UNet Architecture and Pretrained Vision Transformer

EfficientUNetViT：利用 UNet 架构和预训练视觉 Transformer 的高效乳腺肿瘤分割

期刊:Bioengineering-Basel
影响因子:3.8
doi:10.3390/bioengineering11090945
Anari, Shokofeh; de Oliveira, Gabriel Gomes; Ranjbarzadeh, Ramin; Alves, Angela Maria; Vaz, Gabriel Caumo; Bendechache, Malika
肿瘤
肿瘤免疫
发表日期：2024
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An explainable deep learning approach for stock market trend prediction

一种用于股票市场趋势预测的可解释深度学习方法

期刊:Heliyon
影响因子:3.6
doi:10.1016/j.heliyon.2024.e40095
Muhammad, Dost; Ahmed, Iftikhar; Naveed, Khwaja; Bendechache, Malika
发表日期：2024
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Investigation of Effectiveness of Shuffled Frog-Leaping Optimizer in Training a Convolution Neural Network

对混合蛙跳优化器在训练卷积神经网络中的有效性进行研究

期刊:Journal of Healthcare Engineering
影响因子:
doi:10.1155/2022/4703682
Baseri Saadi, Soroush; Tataei Sarshar, Nazanin; Sadeghi, Soroush; Ranjbarzadeh, Ramin; Kooshki Forooshani, Mersedeh; Bendechache, Malika
发表日期：2022
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Lung Infection Segmentation for COVID-19 Pneumonia Based on a Cascade Convolutional Network from CT Images

基于级联卷积网络的CT图像COVID-19肺炎肺部感染分割

期刊:Biomed Research International
影响因子:2.3
doi:10.1155/2021/5544742
Ranjbarzadeh, Ramin; Jafarzadeh Ghoushchi, Saeid; Bendechache, Malika; Amirabadi, Amir; Ab Rahman, Mohd Nizam; Baseri Saadi, Soroush; Aghamohammadi, Amirhossein; Kooshki Forooshani, Mersedeh
肺炎
炎症/感染
发表日期：2021
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An Extended Approach to Predict Retinopathy in Diabetic Patients Using the Genetic Algorithm and Fuzzy C-Means

一种基于遗传算法和模糊C均值聚类的糖尿病患者视网膜病变预测扩展方法

期刊:Biomed Research International
影响因子:2.3
doi:10.1155/2021/5597222
Ghoushchi, Saeid Jafarzadeh; Ranjbarzadeh, Ramin; Dadkhah, Amir Hussein; Pourasad, Yaghoub; Bendechache, Malika
糖尿病
视网膜病变
神经科学
代谢
发表日期：2021
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Osteolysis: A Literature Review of Basic Science and Potential Computer-Based Image Processing Detection Methods

骨溶解：基础科学及潜在的基于计算机图像处理的检测方法文献综述

期刊:Computational Intelligence and Neuroscience
影响因子:
doi:10.1155/2021/4196241
Saadi, Soroush Baseri; Ranjbarzadeh, Ramin; Ozeir Kazemi; Amirabadi, Amir; Ghoushchi, Saeid Jafarzadeh; Kazemi, Oveis; Azadikhah, Sonya; Bendechache, Malika
发表日期：2021
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