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收藏A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancer基于骨盆MR transformer的深度学习模型预测直肠癌患者肺转移风险
Li, Yin; Li, Shuang; Xiao, Ruolin; Li, Xi; Yi, Yongju; Zhang, Liangyou; Zhou, You; Wan, Yun; Wei, Chenhua; Zhong, Liming; Yang, Wei; Yao, Lin 分享 收藏 分享 收藏 A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas基于transformer的多任务深度学习模型，用于胶质瘤的同时浸润脑区识别和分割Li, Yin; Zheng, Kaiyi; Li, Shuang; Yi, Yongju; Li, Min; Ren, Yufan; Guo, Congyue; Zhong, Liming; Yang, Wei; Li, Xinming; Yao, Lin 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 Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer基于影像组学的局部进展期直肠癌新辅助治疗后淋巴结状态的术前预测Zhou, Xuezhi; Yi, Yongju; Liu, Zhenyu; Zhou, Zhiyang; Lai, Bingjia; Sun, Kai; Li, Longfei; Huang, Liyu; Feng, Yanqiu; Cao, Wuteng; Tian, Jie 分享 收藏 Radiomics-Based Pretherapeutic Prediction of Non-response to Neoadjuvant Therapy in Locally Advanced Rectal CancerZhou, Xuezhi; Yi, Yongju; Liu, Zhenyu; Cao, Wuteng; Lai, Bingjia; Sun, Kai; Li, Longfei; Zhou, Zhiyang; Feng, Yanqiu; Tian, Jie 分享 收藏 
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