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Clinical efficacy of Yinhua Miyanling tablet in the treatment of uncomplicated urinary tract infections: A systematic review and meta-analysis 银花泌炎灵片治疗非复杂性尿路感染临床疗效的系统评价和meta分析 Ding, Jiasen; Zhou, Yanyan; Li, Ming; Tang, Yiwen; Wang, Xiong; Li, Qi; Li, Ding; Xu, Feng; Qiao, Ruoyu; Zhang, Zejia; Wei, Yongqiang; Cheng, Pengyu; Liu, Lihong; Ji, Rongfu; Jiang, Xiaofeng; Gao, Zhan 分享 收藏
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Identification and external validation of tumor DNA methylation panel for the recurrence risk stratification of stage II colon cancer 肿瘤DNA甲基化谱的鉴定及其在外部队列中对II期结肠癌复发风险分层的验证 Yuan, Tanwei; Edelmann, Dominic; Moreno, Victor; Georgii, Elisabeth; Sousa, Lisa Barros de Andrade e; Pelin, Helena; Jiang, Xiaofeng; Kather, Jakob Nikolas; Tagscherer, Katrin E.; Roth, Wilfried; Bewerunge-Hudler, Melanie; Brobeil, Alexander; Kloor, Matthias; Blaeker, Hendrik; Brenner, Hermann; Hoffmeister, Michael 分享 收藏
End-to-end prognostication in colorectal cancer by deep learning: a retrospective, multicentre study 深度学习对结直肠癌的端到端预后: 一项回顾性多中心研究 Jiang, Xiaofeng; Hoffmeister, Michael; Brenner, Hermann; Muti, Hannah Sophie; Yuan, Tanwei; Foersch, Sebastian; West, Nicholas P.; Brobeil, Alexander; Jonnagaddala, Jitendra; Hawkins, Nicholas; Ward, Robyn L.; Brinker, Titus J.; Saldanha, Oliver Lester; Ke, Jia; Mueller, Wolfram; Grabsch, Heike, I; Quirke, Philip; Truhn, Daniel; Kather, Jakob Nikolas 分享 收藏
Deep learning trained on lymph node status predicts outcome from gastric cancer histopathology: a retrospective multicentric study 接受淋巴结状态训练的深度学习可预测胃癌组织病理学结果: 一项回顾性多中心研究 Muti, Hannah S.; Roecken, Christoph; Behrens, Hans-Michael; Loeffler, Chiara M. L.; Reitsam, Nic G.; Grosser, Bianca; Maerkl, Bruno; Stange, Daniel E.; Jiang, Xiaofeng; Velduizen, Gregory P.; Truhn, Daniel; Ebert, Matthias P.; Grabsch, Heike I.; Kather, Jakob N. 分享 收藏
A Longitudinal MRI-Based Artificial Intelligence System to Predict Pathological Complete Response After Neoadjuvant Therapy in Rectal Cancer: A Multicenter Validation Study 基于纵向MRI的人工智能系统预测直肠癌新辅助治疗后病理完全缓解: 一项多中心验证研究 Ke, Jia; Jin, Cheng; Tang, Jinghua; Cao, Haimei; He, Songbing; Ding, Peirong; Jiang, Xiaofeng; Zhao, Hengyu; Cao, Wuteng; Meng, Xiaochun; Gao, Feng; Lan, Ping; Li, Ruijiang; Wu, Xiaojian 分享 收藏
An MRI Deep Learning Model Predicts Outcome in Rectal Cancer MRI深度学习模型预测直肠癌预后 Jiang, Xiaofeng; Zhao, Hengyu; Saldanha, Oliver Lester; Nebelung, Sven; Kuhl, Christiane; Amygdalos, Iakovos; Lang, Sven Arke; Wu, Xiaojian; Meng, Xiaochun; Truhn, Daniel; Kather, Jakob Nikolas; Ke, Jia 分享 收藏
Predicting treatment response from longitudinal images using multi-task deep learning 使用多任务深度学习从纵向图像预测治疗反应 Jin, Cheng; Yu, Heng; Ke, Jia; Ding, Peirong; Yi, Yongju; Jiang, Xiaofeng; Duan, Xin; Tang, Jinghua; Chang, Daniel T.; Wu, Xiaojian; Gao, Feng; Li, Ruijiang 分享 收藏
Immune-related gene signature in predicting prognosis of early-stage colorectal cancer patients 免疫相关基因签名预测早期结直肠癌患者预后的研究 Ke, Jia; Liu, Xuan-hui; Jiang, Xiao-feng; He, Zhen; Xiao, Jian; Zheng, Bin; Chen, Yu-feng; Cai, Ze-rong; Zheng, Xiao-bin; Zou, Yi-feng; Lan, Ping; Wu, Xiao-jian; Gao, Feng 分享 收藏
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