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Efficacy of Near-Infrared Fluorescence-Guided Hepatectomy for the Detection of Colorectal Liver Metastases: A Randomized Controlled Trial 期刊论文
JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS, 2022, 卷号: 234, 期号: 2, 页码: 130-137
作者:  He, Kunshan;  Hong, Xiaopeng;  Chi, Chongwei;  Cai, Chaonong;  An, Yu;  Li, Peiping;  Liu, Xialei;  Shan, Hong;  Tian, Jie;  Li, Jian
收藏  |  浏览/下载：222/0  |  提交时间：2022/06/06
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:  An, Chao;  Li, Dongyang;  Li, Sheng;  Li, Wangzhong;  Tong, Tong;  Liu, Lizhi;  Jiang, Dongping;  Jiang, Linling;  Ruan, Guangying;  Hai, Ning;  Fu, Yan;  Wang, Kun;  Zhuo, Shuiqing;  Tian, Jie
Adobe PDF(2925Kb)  |  收藏  |  浏览/下载：352/70  |  提交时间：2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin;  Tian, Jie;  Jiang, Tianan;  Wang, Kun
Adobe PDF(3007Kb)  |  收藏  |  浏览/下载：301/55  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemotherapy 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2021, 卷号: 142, 页码: 8
作者:  Wei, Shengcai;  Han, Yuqi;  Zeng, Hanjiang;  Ye, Shuai;  Cheng, Jin;  Chai, Fan;  Wei, Jingwei;  Zhang, Jianwei;  Hong, Nan;  Bao, Yudi;  Zhou, Jing;  Ye, Yingjiang;  Meng, Xiaochun;  Zhou, Yuwen;  Deng, Yanhong;  Qiu, Meng;  Tian, Jie;  Wang, Yi
收藏  |  浏览/下载：291/0  |  提交时间：2021/11/03
Histopathologic growth pattern  Colorectal liver metastases  Unresectable  Radiomics  Bevacizumab  
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
作者:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  收藏  |  浏览/下载：315/27  |  提交时间：2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)  
Deep learning-based radiomics predicts response to chemotherapy in colorectal liver metastases 期刊论文
MEDICAL PHYSICS, 2020, 页码: 10
作者:  Wei, Jingwei;  Cheng, Jin;  Gu, Dongsheng;  Chai, Fan;  Hong, Nan;  Wang, Yi;  Tian, Jie
收藏  |  浏览/下载：249/0  |  提交时间：2021/01/06
colorectal liver metastases  chemotherapy  radiomics  contrast‐  enhanced multidetector computed tomography  deep learning  
Identification of Predominant Histopathological Growth Patterns of Colorectal Liver Metastasis by Multi-Habitat and Multi-Sequence Based Radiomics Analysis 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 12
作者:  Han, Yuqi;  Chai, Fan;  Wei, Jingwei;  Yue, Yali;  Cheng, Jin;  Gu, Dongsheng;  Zhang, Yinli;  Tong, Tong;  Sheng, Weiqi;  Hong, Nan;  Ye, Yingjiang;  Wang, Yi;  Tian, Jie
收藏  |  浏览/下载：271/0  |  提交时间：2020/12/04
colorectal cancer  liver metastasis  magnetic resonance  histopathologic growth patterns  radiomics  
Deep Learning Radiomics Based on Contrast-Enhanced Ultrasound Might Optimize Curative Treatments for Very-Early or Early-Stage Hepatocellular Carcinoma Patients 期刊论文
LIVER CANCER, 2020, 卷号: 9, 期号: 4, 页码: 397-413
作者:  Liu, Fei;  Liu, Dan;  Wang, Kun;  Xie, Xiaohua;  Su, Liya;  Kuang, Ming;  Huang, Guangliang;  Peng, Baogang;  Wang, Yuqi;  Lin, Manxia;  Tian, Jie;  Xie, Xiaoyan
浏览  |  Adobe PDF(1066Kb)  |  收藏  |  浏览/下载：408/105  |  提交时间：2020/09/07
Contrast-enhanced ultrasound  Hepatocellular carcinoma  Radiomics  Radiofrequency ablation  Surgical resection  
Radiomics in liver diseases: Current progress and future opportunities 期刊论文
LIVER INTERNATIONAL, 2020, 卷号: 40, 期号: 9, 页码: 2050-2063
作者:  Wei, Jingwei;  Jiang, Hanyu;  Gu, Dongsheng;  Niu, Meng;  Fu, Fangfang;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  收藏  |  浏览/下载：504/137  |  提交时间：2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology