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

MRI-based deep learning with clinical and imaging features to differentiate medulloblastoma and ependymoma in children

结合临床和影像特征的基于磁共振成像的深度学习方法用于区分儿童髓母细胞瘤和室管膜瘤

期刊:Frontiers in Molecular Biosciences
影响因子:4
doi:10.3389/fmolb.2025.1570860
Yimit, Yasen; Yasin, Parhat; Hao, Yue; Tuersun, Abudouresuli; Huang, Chencui; Zou, Xiaoguang; Qiu, Ya; Wang, Yunling; Nijiati, Mayidili
细胞生物学
发表日期：2025
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Efficacy of artificial intelligence-based FFR technology for coronary CTA stenosis detection in clinical management of coronary artery disease: a systematic review

人工智能辅助下FFR技术在冠状动脉CTA狭窄检测中对冠状动脉疾病临床管理的有效性：系统评价

期刊:Frontiers in Physiology
影响因子:3.4
doi:10.3389/fphys.2025.1635923
Liu, Tong; Liu, Ming; Aisika, Ailiyaerjiang; Wumaier, Palidanmu; Abulizi, Abudukeyoumujiang; Wang, Jingru; Nijiati, Mayidili
发表日期：2025
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Multimodal-Imaging-Based Interpretable Deep Learning Framework for Distinguishing Brucella from Tuberculosis Spondylitis: A Dual-Center Study

基于多模态成像的可解释深度学习框架用于区分布鲁氏菌性脊柱炎和结核性脊柱炎：一项双中心研究

期刊:Diagnostics
影响因子:3.3
doi:10.3390/diagnostics15232963
Nijiati, Mayidili; Zhang, Mei; Huang, Chencui; Chou, Xinyue; Shen, Lingyan; Ma, Haiting; Ren, Zhenwei; Maimaiti, Maimaitishawutiaji; You, Yi; Zou, Xiaoguang; Wang, Yunling
发表日期：2025
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Multimodal imaging-based interpretable radiomics for differentiating brucella and tuberculosis spondylitis: a two-center study

基于多模态影像的可解释放射组学在鉴别布鲁氏菌病和结核性脊柱炎中的应用：一项双中心研究

期刊:BMC Infectious Diseases
影响因子:3
doi:10.1186/s12879-025-11863-w
Yimit, Yasen; Tuersun, Abuduresuli; Zhang, Mei; Huang, Chencui; Shen, Lingyan; Yuan, Ya; You, Yi; Abulizi, Adinaer; Ma, Juan; Nijiati, Mayidili
发表日期：2025
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Machine learning-enabled prediction of prolonged length of stay in hospital after surgery for tuberculosis spondylitis patients with unbalanced data: a novel approach using explainable artificial intelligence (XAI)

利用机器学习预测结核性脊柱炎患者术后住院时间延长（数据不平衡）：一种基于可解释人工智能（XAI）的新方法

期刊:European Journal of Medical Research
影响因子:3.4
doi:10.1186/s40001-024-01988-0
Yasin, Parhat; Yimit, Yasen; Cai, Xiaoyu; Aimaiti, Abasi; Sheng, Weibin; Mamat, Mardan; Nijiati, Mayidili
发表日期：2024
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A deep learning radiomics model based on CT images for predicting the biological activity of hepatic cystic echinococcosis

基于CT图像的深度学习放射组学模型预测肝囊型棘球蚴病的生物活性

期刊:Frontiers in Physiology
影响因子:3.4
doi:10.3389/fphys.2024.1426468
Nijiati, Mayidili; Tuerdi, Mireayi; Damola, Maihemitijiang; Yimit, Yasen; Yang, Jing; Abulaiti, Adilijiang; Mutailifu, Aibibulajiang; Aihait, Diliaremu; Wang, Yunling; Zou, Xiaoguang
发表日期：2024
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Predicting hospitalization costs for pulmonary tuberculosis patients based on machine learning

基于机器学习预测肺结核患者的住院费用

期刊:BMC Infectious Diseases
影响因子:3
doi:10.1186/s12879-024-09771-6
Fan, Shiyu; Abulizi, Abudoukeyoumujiang; You, Yi; Huang, Chencui; Yimit, Yasen; Li, Qiange; Zou, Xiaoguang; Nijiati, Mayidili
微生物学
肺结核
发表日期：2024
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Artificial Intelligence Assisting the Early Detection of Active Pulmonary Tuberculosis From Chest X-Rays: A Population-Based Study

利用人工智能辅助胸部X光片早期检测活动性肺结核：一项基于人群的研究

期刊:Frontiers in Molecular Biosciences
影响因子:4
doi:10.3389/fmolb.2022.874475
Nijiati, Mayidili; Ma, Jie; Hu, Chuling; Tuersun, Abudouresuli; Abulizi, Abudoukeyoumujiang; Kelimu, Abudoureyimu; Zhang, Dongyu; Li, Guanbin; Zou, Xiaoguang
微生物学
肺结核
发表日期：2022
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Crisis as opportunity, disruption and exposure: Exploring emergent responses to crisis through digital technology

危机即机遇、颠覆与机遇：探索通过数字技术应对危机的新兴方法

期刊:Frontiers in Molecular Biosciences
影响因子:4
doi:10.3389/fmolb.2022.1086047
Nijiati, Mayidili; Zhou, Renbing; Damaola, Miriguli; Hu, Chuling; Li, Li; Qian, Baoxin; Abulizi, Abudukeyoumujiang; Kaisaier, Aihemaitijiang; Cai, Chao; Li, Hongjun; Zou, Xiaoguang; Gkeredakis, Manos; Lifshitz-Assaf, Hila; Barrett, Michael
发表日期：2021
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Tumor stiffness measured by 3D magnetic resonance elastography can help predict the aggressiveness of endometrial carcinoma: preliminary findings

利用三维磁共振弹性成像测量的肿瘤硬度有助于预测子宫内膜癌的侵袭性：初步研究结果

期刊:Cancer Imaging
影响因子:3.5
doi:10.1186/s40644-021-00420-8
Zhang, Linqi; Long, Xi; Nijiati, Mayidili; Zhang, Tianhui; Li, Mengsi; Deng, Ying; Kuang, Sichi; Xiao, Yuanqiang; Zhu, Jie; He, Bingjun; Chen, Jingbiao; Rossman, Phillip; Glaser, Kevin J; Venkatesh, Sudhakar K; Ehman, Richard L; Wang, Jin
肿瘤
子宫内膜癌
肿瘤免疫
发表日期：2021
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