Ohcanbohtosat - Huang, Chencui
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Characterization of CCTα and evaluating its expression in the mud crab Scylla paramamosain when challenged by low temperatures alone and in combination with high and low salinity Dahkki Yu, Kun, Gong, Jie, Huang, Chencui, Huang, Huiyang, Ye, Haihui, Wang, Guizhong, Zeng, Chaoshu
Almmustuhtton 2015Teaksta -
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CT Radiomics Model for Discriminating the Risk Stratification of Gastrointestinal Stromal Tumors: A Multi-Class Classification and Multi-Center Study Dahkki Chen, Zhonghua, Xu, Linyi, Zhang, Chuanmin, Huang, Chencui, Wang, Minhong, Feng, Zhan, Xiong, Yue
Almmustuhtton 2021Teaksta -
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An AI-based radiomics nomogram for disease prognosis in patients with COVID-19 pneumonia using initial CT images and clinical indicators Dahkki Zhang, Mudan, Zeng, Xianchun, Huang, Chencui, Liu, Jun, Liu, Xinfeng, Xie, Xingzhi, Wang, Rongpin
Almmustuhtton 2021Teaksta -
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Application of first-order feature analysis of DWI-ADC in rare malignant mesenchymal tumours of the maxillofacial region Dahkki Yu, Baoting, Huang, Chencui, Liu, Shuo, Li, Tong, Guan, Yuyao, Zheng, Xuewei, Ding, Jun
Almmustuhtton 2021Teaksta -
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The retinoid X receptor from mud crab: new insights into its roles in ovarian development and related signaling pathway Dahkki Gong, Jie, Huang, Chencui, Shu, Ling, Bao, Chenchang, Huang, Huiyang, Ye, Haihui, Zeng, Chaoshu, Li, Shaojing
Almmustuhtton 2016Teaksta -
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An MSCT-based radiomics nomogram combined with clinical factors can identify Crohn’s disease and ulcerative colitis Dahkki Li, Hui, Mo, Yan, Huang, Chencui, Ren, Qingguo, Xia, Xiaona, Nan, Xiaomin, Shuai, Xinyan, Meng, Xiangshui
Almmustuhtton 2021Teaksta -
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Prediction of the degree of pathological differentiation in tongue squamous cell carcinoma based on radiomics analysis of magnetic resonance images Dahkki Yu, Baoting, Huang, Chencui, Xu, Jingxu, Liu, Shuo, Guan, Yuyao, Li, Tong, Zheng, Xuewei, Ding, Jun
Almmustuhtton 2021Teaksta -
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Application of MR Imaging Features in Differentiation of Renal Changes in Patients With Stage III Type 2 Diabetic Nephropathy and Normal Subjects Dahkki Yu, Baoting, Huang, Chencui, Fan, Xiaofei, Li, Feng, Zhang, Jianzhong, Song, Zihan, Zhi, Nan, Ding, Jun
Almmustuhtton 2022Teaksta -
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A Pilot Study of Radiomic Based on Routine CT Reflecting Difference of Cerebral Hemispheric Perfusion Dahkki Ren, Qingguo, An, Panpan, Jin, Ke, Xia, Xiaona, Huang, Zhaodi, Xu, Jingxu, Huang, Chencui, Jiang, Qingjun, Meng, Xiangshui
Almmustuhtton 2022Teaksta -
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Computed Tomography-Based Radiomics Model to Preoperatively Predict Microsatellite Instability Status in Colorectal Cancer: A Multicenter Study Dahkki Li, Zhi, Zhong, Qi, Zhang, Liang, Wang, Minhong, Xiao, Wenbo, Cui, Feng, Yu, Fang, Huang, Chencui, Feng, Zhan
Almmustuhtton 2021Teaksta -
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Radiomic Machine Learning and External Validation Based on 3.0 T mpMRI for Prediction of Intraductal Carcinoma of Prostate With Different Proportion Dahkki Yang, Ling, Li, Zhengyan, Liang, Xu, Xu, Jingxu, Cai, Yusen, Huang, Chencui, Zhang, Mengni, Yao, Jin, Song, Bin
Almmustuhtton 2022Teaksta -
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An AI-based auxiliary empirical antibiotic therapy model for children with bacterial pneumonia using low-dose chest CT images Dahkki Zhang, Mudan, Yu, Siwei, Yin, Xuntao, Zeng, Xianchun, Liu, Xinfeng, Shen, ZhiYan, Zhang, Xiaoyong, Huang, Chencui, Wang, Rongpin
Almmustuhtton 2021Teaksta -
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A CT-Based Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Periampullary Carcinomas Dahkki Bi, Lei, Liu, Yubo, Xu, Jingxu, Wang, Ximing, Zhang, Tong, Li, Kaiguo, Duan, Mingguang, Huang, Chencui, Meng, Xiangjiao, Huang, Zhaoqin
Almmustuhtton 2021Teaksta -
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Different CT slice thickness and contrast‐enhancement phase in radiomics models on the differential performance of lung adenocarcinoma Dahkki Wang, Yang, Liu, Fang, Mo, Yan, Huang, Chencui, Chen, Yingxin, Chen, Fuliang, Zhang, Xiangwei, Yin, Yunxin, Liu, Qiang, Zhang, Lin
Almmustuhtton 2022Teaksta