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收藏Development and validation of a novel multimodal deep learning model integrating histopathology, radiology, and clinical data to predict primary non-response to infliximab in patients with Crohn's disease开发并验证一种整合组织病理学、放射学和临床数据的全新多模态深度学习模型,用于预测克罗恩病患者的英夫利昔单抗原发性无应答
Wang, Yu; Wang, Haipeng; Wu, Xiaomin; Duan, Xiaoyu; Zhang, Lihui; Liu, Zishan; Xiong, Shanshan; Li, Xuehua; Chen, Minhu; Ye, Ziyin; Wei, Yanling; Huang, Bingsheng; Mao, Ren
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收藏Domain adaptive detection framework for multi-center bone tumor detection on radiographs多中心放射图像骨肿瘤检测的领域自适应检测框架
Li, Bing; Xu, Danyang; Lin, Hongxin; Wu, Ruodai; Wu, Songxiong; Shao, Jingjing; Zhang, Jinxiang; Dai, Haiyang; Wei, Dan; Huang, Bingsheng; Gao, Zhenhua; Diao, Xianfen
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收藏Combining Multifrequency Magnetic Resonance Elastography With Automatic Segmentation to Assess Renal Function in Patients With Chronic Kidney Disease
Liang, Qiumei; Lin, Haiwei; Li, Junfeng; Luo, Peiyin; Qi, Ruirui; Chen, Qiuyi; Meng, Fanqi; Qin, Haodong; Qu, Feifei; Zeng, Youjia; Wang, Wenjing; Lu, Jiandong; Huang, Bingsheng; Chen, Yueyao
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收藏Reproducibility of automatic adipose tissue segmentation using proton density fat fraction images between 1.5 and 3.0 T magnetic resonance1.5 T和3.0 T磁共振下利用质子密度脂肪分数图像进行自动脂肪组织分割的可重复性
Cheng, Chuanli; Zhang, Naiwen; Gong, Jingshan; Wan, Liwen; Peng, Hao; Wan, Qian; Huang, Bingsheng; Zeng, Hongwu; Liu, Xin; Zheng, Hairong; Zou, Chao
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收藏Self-supervised learning on dual-sequence magnetic resonance imaging for automatic segmentation of nasopharyngeal carcinoma
Cai, Zongyou; Zhong, Zhangnan; Lin, Haiwei; Huang, Bingsheng; Xu, Ziyue; Huang, Bin; Deng, Wei; Wu, Qiting; Lei, Kaixin; Lyu, Jiegeng; Ye, Yufeng; Chen, Hanwei; Zhang, Jian
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收藏An interpretable two-branch bi-coordinate network based on multi-grained domain knowledge for classification of thyroid nodules in ultrasound images
Wang, Mingyu; Chen, Chao; Xu, Ziyue; Xu, Lang; Zhan, Weiwei; Xiao, Jing; Hou, Yiqing; Huang, Bingsheng; Huang, Lingyun; Li, Shuo
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收藏MRI radiomics enhances radiologists' ability for characterizing intestinal fibrosis in patients with Crohn's disease
Zhang, Mengchen; Zeng, Yinghou; Fang, Zhuang-nian; Wang, Yang-di; Zhang, Ruo-nan; Ye, Ziyin; Cao, Qing-hua; Mao, Ren; Sun, Canhui; Chen, Zhi-hui; Huang, Bingsheng; Li, Xue-hua
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收藏Development and Validation of a Deep Learning and Radiomics Combined Model for Differentiating Complicated From Uncomplicated Acute Appendicitis开发和验证用于区分复杂和非复杂急性阑尾炎的深度学习和放射组学组合模型
Liang, Dan; Fan, Yaheng; Zeng, Yinghou; Zhou, Hui; Zhou, Hong; Li, Guangming; Liang, Yingying; Zhong, Zhangnan; Chen, Dandan; Chen, Amei; Li, Guanwei; Deng, Jinhe; Huang, Bingsheng; Wei, Xinhua
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收藏Development and validation of a deep learning radiomics model with clinical-radiological characteristics for the identification of occult peritoneal metastases in patients with pancreatic ductal adenocarcinoma
Shi, Siya; Lin, Chuxuan; Zhou, Jian; Wei, Luyong; Chen, Mingjie; Zhang, Jian; Cao, Kangyang; Fan, Yaheng; Huang, Bingsheng; Luo, Yanji; Feng, Shi-Ting
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收藏Deep Learning Radiomic Analysis of MRI Combined with Clinical Characteristics Diagnoses Placenta Accreta Spectrum and its Subtypes
Zheng, Changye; Zhong, Jian; Wang, Ya; Cao, Kangyang; Zhang, Chang; Yue, Peiyan; Xu, Xiaoyang; Yang, Yang; Liu, Qinghua; Zou, Yujian; Huang, Bingsheng
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收藏Deep learning model to differentiate Crohn's disease from intestinal tuberculosis using histopathological whole slide images from intestinal specimens使用来自肠道标本的组织病理学全切片图像区分克罗恩病和肠结核的深度学习模型
Liu, Xinning; Li, Fei; Xu, Jie; Ma, Jinting; Duan, Xiaoyu; Mao, Ren; Chen, Minhu; Chen, Zhihui; Huang, Yan; Jiang, Jingyi; Huang, Bingsheng; Ye, Ziyin
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