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

Yimit, Yasen; Yasin, Parhat; Hao, Yue; Tuersun, Abudouresuli; Huang, Chencui; Zou, Xiaoguang; Qiu, Ya; Wang, Yunling; Nijiati, Mayidili

Dual-center study on AI-driven multi-label deep learning for X-ray screening of knee abnormalities

一项关于人工智能驱动的多标签深度学习在膝关节异常X射线筛查中的双中心研究

Yasin, Parhat; Yimit, Yasen; Abulimiti, Abuduainijiang; Luan, Haopeng; Peng, Cong; Yakufu, Maihemuti; Song, Xinghua

Explainable machine learning for differential diagnosis of diabetic foot infection and osteomyelitis: a two-center study and clinically applicable web calculator using routine blood biomarkers

利用可解释机器学习方法鉴别诊断糖尿病足感染和骨髓炎:一项基于常规血液生物标志物的双中心研究及临床适用型网络计算器

Yasin, Parhat; Dong, Shiming; Aizezi, Zubaidanmu; Yimit, Yasen; Yusufu, Alimujiang; Yakufu, Maihemuti; Song, Xinghua

DNAR-11. Differential DNA Damage and Repair burden in proliferating neural progenitor cells

DNAR-11. 增殖性神经祖细胞中DNA损伤和修复负担的差异

Stojanović, Radovan; Đurković, Jovan; Vukmirović, Mihailo; Babić, Blagoje; Miranović, Vesna; Škraba, Andrej; Persaud, Phooja; Bunda, Severa; Zadeh, Gelareh; Yimit, Askar; Brownlee, Peter; Nesdoly, Sean; Morrissy, Sorana; Chan, Jennifer; Goodarzi, Aaron

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

Yimit, Yasen; Tuersun, Abuduresuli; Zhang, Mei; Huang, Chencui; Shen, Lingyan; Yuan, Ya; You, Yi; Abulizi, Adinaer; Ma, Juan; Nijiati, Mayidili

Severe Normocytic Anemia and Spontaneous Hematomas in Profound Vitamin C Deficiency

严重维生素C缺乏症引起的重度正细胞性贫血和自发性血肿

Chabalout, M Nour; Sotomayor Barrera, Fanny; Yimit, Asigul

Primary cilia signaling in astrocytes mediates development and regional-specific functional specification

星形胶质细胞中的初级纤毛信号传导介导发育和区域特异性功能规范

Lizheng Wang, Qianqian Guo, Sandesh Acharya, Xiao Zheng, Vanessa Huynh, Brandon Whitmore, Askar Yimit, Mehr Malhotra, Siddharth Chatterji, Nicole Rosin, Elodie Labit, Colten Chipak, Kelsea Gorzo, Jordan Haidey, David A Elliott, Tina Ram, Qingrun Zhang, Hedwich Kuipers, Grant Gordon, Jeff Biernaskie,

MRI-based interpretable radiomics nomogram for discrimination between Brucella spondylitis and Pyogenic spondylitis

基于MRI的可解释放射组学列线图用于区分布鲁氏菌性脊柱炎和化脓性脊柱炎

Yasin, Parhat; Yimit, Yasen; Abliz, Dilxat; Mardan, Muradil; Xu, Tao; Yusufu, Aierpati; Cai, Xiaoyu; Sheng, Weibin; Mamat, Mardan

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

Yasin, Parhat; Yimit, Yasen; Cai, Xiaoyu; Aimaiti, Abasi; Sheng, Weibin; Mamat, Mardan; Nijiati, Mayidili

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

Nijiati, Mayidili; Tuerdi, Mireayi; Damola, Maihemitijiang; Yimit, Yasen; Yang, Jing; Abulaiti, Adilijiang; Mutailifu, Aibibulajiang; Aihait, Diliaremu; Wang, Yunling; Zou, Xiaoguang