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收藏分享 收藏 分享 收藏 分享 收藏 Breaking boundaries in radiology: redefining AI diagnostics via raw data ahead of reconstruction
He, Bingxi; Sun, Caixia; Li, Hailin; Wang, Yongbo; She, Yunlang; Zhao, Mengmeng; Fang, Mengjie; Zhu, Yongbei; Wang, Kun; Liu, Zhenyu; Wei, Ziqi; Mu, Wei; Wang, Shuo; Tang, Zhenchao; Wei, Jingwei; Shao, Lizhi; Tong, Lixia; Huang, Feng; Tang, Mingze; Guo, Yu; Zhang, Huimao; Dong, Di; Chen, Chang; Ma, Jianhua; Tian, Jie 分享 收藏 From Signal to Knowledge: The Diagnostic Value of Raw Data in the Artificial Intelligence Prediction of Human Data for the First TimeHe, Bingxi; Guo, Yu; Zhu, Yongbei; Tong, Lixia; Kong, Boyu; Wang, Kun; Sun, Caixia; Li, Hailin; Huang, Feng; Wu, Liwei; Wang, Meng; Meng, Fanyang; Dou, Le; Shao, Lizhi; Sun, Kai; Tong, Tong; Liu, Zhenyu; Wei, Ziqi; Mu, Wei; Wang, Shuo; Tang, Zhenchao; Zhang, Shuaitong; Wei, Jingwei; Fang, Mengjie; Li, Juntao; Zhu, Shouping; Zhou, Lili; Dong, Di; Zhang, Huimao; Tian, Jie 分享 收藏 A Novel Deep Learning Framework Based Mask-Guided Attention Mechanism for Distant Metastasis Prediction of Lung Cancer基于深度学习框架的掩模引导注意机制在肺癌远处转移预测中的应用Li, Zhe; Wang, Shuo; Yu, He; Zhu, Yongbei; Wu, Qingxia; Wang, Liusu; Wu, Zhangjie; Gan, Yuncui; Li, Weimin; Qiu, Bensheng; Tian, Jie 分享 收藏 Deep learning for predicting immunotherapeutic efficacy in advanced non-small cell lung cancer patients: a retrospective study combining progression-free survival risk and overall survival risk深度学习预测晚期非小细胞肺癌患者免疫治疗疗效: 一项结合无进展生存风险和总生存风险的回顾性研究He, Bing-Xi; Zhong, Yi-Fan; Zhu, Yong-Bei; Deng, Jia-Jun; Fang, Meng-Jie; She, Yun-Lang; Wang, Ting-Ting; Yang, Yang; Sun, Xi-Wen; Belluomini, Lorenzo; Watanabe, Satoshi; Dong, Di; Tian, Jie; Xie, Dong 分享 收藏 3D Deep Learning Model for the Pretreatment Evaluation of Treatment Response in Esophageal Carcinoma: A Prospective Study (ChiCTR2000039279)Li, Xiaoqin; Gao, Han; Zhu, Jian; Huang, Yong; Zhu, Yongbei; Huang, Wei; Li, Zhenjiang; Sun, Kai; Liu, Zhenyu; Tian, Jie; Li, Baosheng 分享 收藏 分享 收藏 Identifying early gastric cancer under magnifying narrow-band images with deep learning: a multicenter study深度学习在放大窄带图像下识别早期胃癌: 一项多中心研究Hu, Hao; Gong, Lixin; Dong, Di; Zhu, Liang; Wang, Min; He, Jie; Shu, Lei; Cai, Yiling; Cai, Shilun; Su, Wei; Zhong, Yunshi; Li, Cong; Zhu, Yongbei; Fang, Mengjie; Zhong, Lianzhen; Yang, Xin; Zhou, Pinghong; Tian, Jie 分享 收藏 Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study基于深度学习和放射组学的肿瘤周围附加区域的预测价值探索: 一项多中心研究Wu, Xiangjun; Dong, Di; Zhang, Lu; Fang, Mengjie; Zhu, Yongbei; He, Bingxi; Ye, Zhaoxiang; Zhang, Minming; Zhang, Shuixing; Tian, Jie 分享 收藏 Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker使用肿瘤突变负荷放射组学生物标志物预测晚期非小细胞肺癌对免疫疗法的反应He, Bingxi; Dong, Di; She, Yunlang; Zhou, Caicun; Fang, Mengjie; Zhu, Yongbei; Zhang, Henghui; Huang, Zhipei; Jiang, Tao; Tian, Jie; Chen, Chang 分享 收藏 A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis用于新型冠状病毒肺炎诊断和预后分析的全自动深度学习系统Wang, Shuo; Zha, Yunfei; Li, Weimin; Wu, Qingxia; Li, Xiaohu; Niu, Meng; Wang, Meiyun; Qiu, Xiaoming; Li, Hongjun; Yu, He; Gong, Wei; Bai, Yan; Li, Li; Zhu, Yongbei; Wang, Liusu; Tian, Jie 分享 收藏 分享 收藏 A deep learning radiomics model for preoperative grading in meningioma用于脑膜瘤术前分级的深度学习影像组学模型Zhu, Yongbei; Man, Chuntao; Gong, Lixin; Dong, Di; Yu, Xinyi; Wang, Shuo; Fang, Mengjie; Wang, Siwen; Fang, Xiangming; Chen, Xuzhu; Tian, Jie 分享 收藏 Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning基于深度学习的肺腺癌ct图像EGFR突变状态预测Wang, Shuo; Shi, Jingyun; Ye, Zhaoxiang; Dong, Di; Yu, Dongdong; Zhou, Mu; Liu, Ying; Gevaert, Olivier; Wang, Kun; Zhu, Yongbei; Zhou, Hongyu; Liu, Zhenyu; Tian, Jie 分享 收藏 
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