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

Separator-free Li-S thin-film battery with spin-coated S/CNT/SP cathode and PEO/PVDF/LTFSI/LLZO composite electrolyte

采用旋涂S/CNT/SP正极和PEO/PVDF/LTFSI/LLZO复合电解质的无隔膜锂硫薄膜电池

期刊:RSC Advances
影响因子:4.6
doi:10.1039/d5ra01602a
Mashekova, Aiym; Umirzakov, Arman; Yegamkulov, Mukagali; Aliyakbarova, Marzhan; Uzakbaiuly, Berik; Nurpeissova, Arailym; Bakenov, Zhumabay; Mukanova, Aliya
发表日期：2025
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Review of Artificial Intelligence Techniques for Breast Cancer Detection with Different Modalities: Mammography, Ultrasound, and Thermography Images

不同成像方式（乳房X光、超声和热成像）下人工智能乳腺癌检测技术综述

期刊:Bioengineering-Basel
影响因子:3.8
doi:10.3390/bioengineering12101110
Mashekova, Aigerim; Zhao, Michael Yong; Zarikas, Vasilios; Mukhmetov, Olzhas; Aidossov, Nurduman; Ng, Eddie Yin Kwee; Wei, Dongming; Shapatova, Madina
肿瘤
肿瘤免疫
乳腺癌
发表日期：2025
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Fully Interpretable Deep Learning Model Using IR Thermal Images for Possible Breast Cancer Cases

利用红外热图像构建完全可解释的深度学习模型，用于疑似乳腺癌病例的诊断

期刊:Biomimetics
影响因子:3.9
doi:10.3390/biomimetics9100609
Mirasbekov, Yerken; Aidossov, Nurduman; Mashekova, Aigerim; Zarikas, Vasilios; Zhao, Yong; Ng, Eddie Yin Kwee; Midlenko, Anna
肿瘤
肿瘤免疫
乳腺癌
发表日期：2024
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An Integrated Intelligent System for Breast Cancer Detection at Early Stages Using IR Images and Machine Learning Methods with Explainability

基于红外图像和机器学习方法的早期乳腺癌检测集成智能系统及其可解释性

期刊:
影响因子:
doi:10.1007/s42979-022-01536-9
Aidossov, Nurduman; Zarikas, Vasilios; Zhao, Yong; Mashekova, Aigerim; Ng, Eddie Yin Kwee; Mukhmetov, Olzhas; Mirasbekov, Yerken; Omirbayev, Aldiyar
肿瘤
肿瘤免疫
乳腺癌
发表日期：2023
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