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CASIA OpenIR
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A radiomics and genomics-derived model for predicting metastasis and prognosis in colorectal cancer 期刊论文
CARCINOGENESIS, 2024, 页码: 11
作者:  Li, Xue;  Wu, Meng;  Wu, Min;  Liu, Jie;  Song, Li;  Wang, Jiasi;  Zhou, Jun;  Li, Shilin;  Yang, Hang;  Zhang, Jun;  Cui, Xinwu;  Liu, Zhenyu;  Zeng, Fanxin
收藏  |  浏览/下载：28/0  |  提交时间：2024/03/26
Tumor Mutation Burden-Related Histopathologic Features for Predicting Overall Survival in Gliomas Using Graph Deep Learning 期刊论文
AMERICAN JOURNAL OF PATHOLOGY, 2023, 卷号: 193, 期号: 12, 页码: 2111-2121
作者:  Sun, Caixia;  Luo, Tao;  Liu, Zhenyu;  Ge, Jia;  Shao, Lizhi;  Liu, Xiangyu;  Li, Bao;  Zhang, Song;  Qiu, Qi;  Wei, Wei;  Wang, Shuo;  Bian, Xiu-Wu;  Tian, Jie
收藏  |  浏览/下载：83/0  |  提交时间：2024/02/22
Multi-omics fusion analysis models with machine learning predict survival of HER2-negative metastatic breast cancer: a multicenter prospective observational study 期刊论文
CHINESE MEDICAL JOURNAL, 2023, 卷号: 136, 期号: 7, 页码: 863-865
作者:  Wang, Jiani;  Liu, Yuwei;  Zhang, Renzhi;  Liu, Zhenyu;  Yi, Zongbi;  Guan, Xiuwen;  Zhao, Xinming;  Jiang, Jingying;  Tian, Jie;  Ma, Fei
收藏  |  浏览/下载：130/0  |  提交时间：2023/11/17
Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer : A multicenter study 期刊论文
BREAST, 2022, 卷号: 66, 页码: 183-190
作者:  Li, Bao;  Li, Fengling;  Liu, Zhenyu;  Xu, FangPing;  Ye, Guolin;  Li, Wei;  Zhang, Yimin;  Zhu, Teng;  Shao, Lizhi;  Chen, Chi;  Sun, Caixia;  Qiu, Bensheng;  Bu, Hong;  Wang, Kun;  Tian, Jie
收藏  |  浏览/下载：253/0  |  提交时间：2022/12/27
Breast cancer  Neoadjuvant chemotherapy  Pathological complete response  Whole-slide image  Deep learning  
Recent developments of the reconstruction in magnetic particle imaging 期刊论文
Visual Computing for Industry, Biomedicine, and Art, 2022, 卷号: 5, 期号: 1
作者:  Yin,Lin;  Li,Wei;  Du,Yang;  Wang,Kun;  Liu,Zhenyu;  Hui,Hui;  Tian,Jie
收藏  |  浏览/下载：168/0  |  提交时间：2022/11/14
Magnetic particle imaging  Image reconstruction  System matrix  X-space  
Deep learning with whole slide images can improve the prognostic risk stratification with III colorectal cancer 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 221, 页码: 11
作者:  Sun, Caixia;  Li, Bingbing;  Wei, Genxia;  Qiu, Weihao;  Li, Danyi;  Li, Xiangzhao;  Liu, Xiangyu;  Wei, Wei;  Wang, Shuo;  Liu, Zhenyu;  Tian, Jie;  Liang, Li
收藏  |  浏览/下载：375/0  |  提交时间：2022/07/25
Chemotherapy duration  Whole slide images  Deep learning  Colorectal cancer  Prognosis  
The pathological risk score: A new deep learning-based signature for predicting survival in cervical cancer 期刊论文
CANCER MEDICINE, 2022, 页码: 13
作者:  Chen, Chi;  Cao, Yuye;  Li, Weili;  Liu, Zhenyu;  Liu, Ping;  Tian, Xin;  Sun, Caixia;  Wang, Wuliang;  Gao, Han;  Kang, Shan;  Wang, Shaoguang;  Jiang, Jingying;  Chen, Chunlin;  Tian, Jie
收藏  |  浏览/下载：259/0  |  提交时间：2022/07/25
cervical cancer  deep learning  disease-free survival  overall survival  whole slide image  
A deep learning radiomics analysis for identifying sinus invasion in patients with meningioma before operation using tumor and peritumoral regions 期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2022, 卷号: 149, 页码: 7
作者:  Sun, Kai;  Zhang, Jing;  Liu, Zhenyu;  Qiu, Qi;  Gao, Han;  Liu, Panpan;  Chen, Kuntao;  Wei, Wei;  Wang, Liang;  Zhang, Junting;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载：200/0  |  提交时间：2022/06/10
Sinus invasion  Meningioma  ResNet50  Peritumoral  Preoperative identification  
A two-center radiomic analysis for differentiating major depressive disorder using multi-modality MRI data under different parcellation methods 期刊论文
JOURNAL OF AFFECTIVE DISORDERS, 2022, 卷号: 300, 页码: 1-9
作者:  Sun, Kai;  Liu, Zhenyu;  Chen, Guanmao;  Zhou, Zhifeng;  Zhong, Shuming;  Tang, Zhenchao;  Wang, Shuo;  Zhou, Guifei;  Zhou, Xuezhi;  Shao, Lizhi;  Ye, Xiaoying;  Zhang, Yingli;  Jia, Yanbin;  Pan, Jiyang;  Huang, Li;  Liu, Xia;  Liu, Jiangang;  Tian, Jie;  Wang, Ying
收藏  |  浏览/下载：300/0  |  提交时间：2022/02/16
Major depressive disorder  rs-fMRI  VBM  Radiomics  Classification  
Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study 期刊论文
LANCET DIGITAL HEALTH, 2022, 卷号: 4, 期号: 1, 页码: E8-E17
作者:  Feng, Lili;  Liu, Zhenyu;  Li, Chaofeng;  Li, Zhenhui;  Lou, Xiaoying;  Shao, Lizhi;  Wang, Yunlong;  Huang, Yan;  Chen, Haiyang;  Pang, Xiaolin;  Liu, Shuai;  He, Fang;  Zheng, Jian;  Meng, Xiaochun;  Xie, Peiyi;  Yang, Guanyu;  Ding, Yi;  Wei, Mingbiao;  Yun, Jingping;  Hung, Mien-Chie;  Zhou, Weihua;  Wahl, Dantel R.;  Lan, Ping;  Tian, Jie;  Wan, Xiangbo
收藏  |  浏览/下载：236/0  |  提交时间：2022/02/16