A deep-learning model for identifying fresh vertebral compression fractures on digital radiography von Chen, Weijuan, Liu, Xi, Li, Kunhua, Luo, Yin, Bai, Shanwei, Wu, Jiangfen, Chen, Weidao, Dong, Mengxing, Guo, Dajing

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Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma von Shang, Youlan, Chen, Weidao, Li, Ge, Huang, Yijie, Wang, Yisong, Kui, Xiaoyan, Li, Ming, Zheng, Hairong, Zhao, Wei, Liu, Jun

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Transformer-Based Deep-Learning Algorithm for Discriminating Demyelinating Diseases of the Central Nervous System With Neuroimaging von Huang, Chuxin, Chen, Weidao, Liu, Baiyun, Yu, Ruize, Chen, Xiqian, Tang, Fei, Liu, Jun, Lu, Wei

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RESOLVE-DWI-based deep learning nomogram for prediction of normal-sized lymph node metastasis in cervical cancer: a preliminary study von Qian, Weiliang, Li, Zhisen, Chen, Weidao, Yin, Hongkun, Zhang, Jibin, Xu, Jianming, Hu, Chunhong

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Using Machine Learning Techniques to Develop Risk Prediction Models for the Risk of Incident Diabetic Retinopathy Among Patients With Type 2 Diabetes Mellitus: A Cohort Study von Zhao, Yuedong, Li, Xinyu, Li, Shen, Dong, Mengxing, Yu, Han, Zhang, Mengxian, Chen, Weidao, Li, Peihua, Yu, Qing, Liu, Xuhan, Gao, Zhengnan

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A weakly supervised deep learning model integrating noncontrasted computed tomography images and clinical factors facilitates haemorrhagic transformation prediction after intraveno... von Ru, Xiaoshuang, Zhao, Shilong, Chen, Weidao, Wu, Jiangfen, Yu, Ruize, Wang, Dawei, Dong, Mengxing, Wu, Qiong, Peng, Daoyong, Song, Yang

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Improving the diagnosis of acute ischemic stroke on non-contrast CT using deep learning: a multicenter study von Chen, Weidao, Wu, Jiangfen, Wei, Ren, Wu, Shuang, Xia, Chen, Wang, Dawei, Liu, Daliang, Zheng, Longmei, Zou, Tianyu, Li, Ruijiang, Qi, Xianrong, Zhang, Xiaotong

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An MRI‐based machine learning radiomics can predict short‐term response to neoadjuvant chemotherapy in patients with cervical squamous cell carcinoma: A multicenter study von Xin, Zhonghong, Yan, Wanying, Feng, Yibo, Yunzhi, Li, Zhang, Yaping, Wang, Dawei, Chen, Weidao, Peng, Jianhong, Guo, Cheng, Chen, Zixian, Wang, Xiaohui, Zhu, Jun, Lei, Junqiang

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A deep learning algorithm to identify carotid plaques and assess their stability von He, Lan, Yang, Zekun, Wang, Yudong, Chen, Weidao, Diao, Le, Wang, Yitong, Yuan, Wei, Li, Xu, Zhang, Ying, He, Yongming, Shen, E

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Scalable Swin Transformer network for brain tumor segmentation from incomplete MRI modalities von Zhang, Dongsong, Wang, Changjian, Chen, Tianhua, Chen, Weidao, Shen, Yiqing

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Investigating the Influence of Spatial Constraints on Ultimate Receive Coil Performance for Monkey Brain MRI at 7 T von Gao, Yang, Chen, Weidao, Zhang, Xiaotong

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GMILT: A Novel Transformer Network That Can Noninvasively Predict EGFR Mutation Status von Zhao, Wei, Chen, Weidao, Li, Ge, Lei, Du, Yang, Jiancheng, Chen, Yanjing, Jiang, Yingjia, Wu, Jiangfen, Ni, Bingbing, Sun, Yeqi, Wang, Shaokang, Sun, Yingli, Li, Ming, Liu, Jun

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Automatic macaque brain segmentation based on 7T MRI von Zhao, Jie, Chen, Weidao, Liu, Chunyi, Gao, Yang, Chen, Xiaodong, Chen, Gang, Xia, Ling, Dai, Yakang, Zhang, Xiaotong

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Deep learning–assisted LI-RADS grading and distinguishing hepatocellular carcinoma (HCC) from non-HCC based on multiphase CT: a two-center study von Xu, Yang, Zhou, Chaoyang, He, Xiaojuan, Song, Rao, Liu, Yangyang, Zhang, Haiping, Wang, Yudong, Fan, Qianrui, Chen, Weidao, Wu, Jiangfen, Wang, Jian, Guo, Dajing

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Radiomics combined with clinical and MRI features may provide preoperative evaluation of suboptimal debulking surgery for serous ovarian carcinoma von Liu, Li, Zhang, Wenfei, Wang, Yudong, Wu, Jiangfen, Fan, Qianrui, Chen, Weidao, Zhou, Linyi, Li, Juncai, Li, Yongmei

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HE-Mind: A model for automatically predicting hematoma expansion after spontaneous intracerebral hemorrhage von Zhou, Zhiming, Chen, Weidao, Yu, Ruize, Chen, Yuanyuan, Li, Xuejiao, Zhou, Hongli, Fan, Qianrui, Wang, Jing, Wu, Xiaojia, Zhou, Yu, Zhou, Xi, Guo, Dajing

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Prediction of microvascular invasion and pathological differentiation of hepatocellular carcinoma based on a deep learning model von He, Xiaojuan, Xu, Yang, Zhou, Chaoyang, Song, Rao, Liu, Yangyang, Zhang, Haiping, Wang, Yudong, Fan, Qianrui, Wang, Dawei, Chen, Weidao, Wang, Jian, Guo, Dajing

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Swin Transformer Improves the IDH Mutation Status Prediction of Gliomas Free of MRI-Based Tumor Segmentation von Wu, Jiangfen, Xu, Qian, Shen, Yiqing, Chen, Weidao, Xu, Kai, Qi, Xian-Rong

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A MULTIMODAL MULTIPATH ARTIFICIAL INTELLIGENCE SYSTEM FOR DIAGNOSING GASTRIC PROTRUDED LESIONS ON ENDOSCOPY AND ENDOSCOPIC ULTRASONOGRAPHY IMAGES von Zhu, Chang, Hua, Yifei, Zhang, Min, Wang, Yun, Li, Wenjie, Ding, Yanbing, She, Qiang, Zhang, Weifeng, Si, Xinmin, Kong, Zihao, Liu, Baiyun, Chen, Weidao, Wu, Jiangfen, Dang, Yini, Zhang, Guoxin

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A human-computer collaboration for COVID-19 differentiation: combining a radiomics model with deep learning and human auditing von Xin, Xiaoyan, Mo, Ran, Shao, Mingran, Yang, Wen, Li, Daixin, Zhang, Yanqiu, Wang, Han, Liu, Baiyun, Tian, Song, Chen, Weidao, Wu, Jiangfen, Zhu, Bin, Zhou, Kefeng, Du, Chao, Zhang, Bing

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