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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：9/0  |  提交时间：2024/03/26
Improving prognosis and assessing adjuvant chemotherapy benefit in locally advanced rectal cancer with deep learning for MRI: A retrospective, multi-cohort study 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2023, 卷号: 188, 页码: 9
作者:  Zhang, Song;  Cai, Guoxiang;  Xie, Peiyi;  Sun, Caixia;  Li, Bao;  Dai, Weixing;  Liu, Xiangyu;  Qiu, Qi;  Du, Yang;  Li, Zhenhui;  Liu, Zhenyu;  Tian, Jie
收藏  |  浏览/下载：90/0  |  提交时间：2023/11/15
Locally advanced rectal cancer  Magnetic resonance imaging  Prognosis  Adjuvant chemotherapy  Deep learning  
MRI-derived radiomics models for diagnosis, aggressiveness, and prognosis evaluation in prostate cancer 期刊论文
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B, 2023, 卷号: 24, 期号: 8, 页码: 663-681
作者:  Zhu, Xuehua;  Shao, Lizhi;  Liu, Zhenyu;  Liu, Zenan;  He, Jide;  Liu, Jiangang;  Ping, Hao;  Lu, Jian
收藏  |  浏览/下载：82/0  |  提交时间：2023/11/17
Magnetic resonance imaging (MRI)  Radiomics  Prostate cancer  Predictive model  
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：209/0  |  提交时间：2022/12/27
Breast cancer  Neoadjuvant chemotherapy  Pathological complete response  Whole-slide image  Deep learning  
Patient-level grading prediction of prostate cancer from mp-MRI via GMINet 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 卷号: 150, 页码: 10
作者:  Shao, Lizhi;  Liu, Zhenyu;  Liu, Jiangang;  Yan, Ye;  Sun, Kai;  Liu, Xiangyu;  Lu, Jian;  Tian, Jie
收藏  |  浏览/下载：165/0  |  提交时间：2022/11/21
mp-MRI  Prostate cancer  Grade group  Patient-level prediction  Deep learning  
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：214/0  |  提交时间：2022/07/25
cervical cancer  deep learning  disease-free survival  overall survival  whole slide image  
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：275/0  |  提交时间：2022/07/25
Chemotherapy duration  Whole slide images  Deep learning  Colorectal cancer  Prognosis  
Identifying Sinus Invasion in Meningioma Patients before Surgery with Deep Learning 会议论文
, 线上, 2022-4
作者:  Qi Qiu;  Kai Sun;  Jing Zhang;  Panpan Liu;  Liang Wang;  Junting Zhang;  Junlin Zhou;  Zhenyu Liu;  Jie Tian
Adobe PDF(277Kb)  |  收藏  |  浏览/下载：128/33  |  提交时间：2023/06/28
Deep learning  Meningioma  Sinus invasion  Multimodal fusion  
Patient-Level Prediction of Multi-Classification Task at Prostate MRI Based on End-to-End Framework Learning From Diagnostic Logic of Radiologists 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 卷号: 68, 期号: 12, 页码: 3690-3700
作者:  Shao, Lizhi;  Liu, Zhenyu;  Yan, Ye;  Liu, Jiangang;  Ye, Xiongjun;  Xia, Haizhui;  Zhu, Xuehua;  Zhang, Yuting;  Zhang, Zhiying;  Chen, Huiying;  He, Wei;  Liu, Cheng;  Lu, Min;  Huang, Yi;  Sun, Kai;  Zhou, Xuezhi;  Yang, Guanyu;  Lu, Jian;  Tian, Jie
收藏  |  浏览/下载：256/0  |  提交时间：2021/12/28
Magnetic resonance imaging  Principal component analysis  Pathology  Lesions  Optimization  Task analysis  Predictive models  Gleason score  prostate cancer  patient-level prediction  joint optimization  MRI  reinforcement learning  
3D Deep Learning Model for the Pretreatment Evaluation of Treatment Response in Esophageal Carcinoma: A Prospective Study (ChiCTR2000039279) 期刊论文
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 卷号: 111, 期号: 4, 页码: 926-935
作者:  Li, Xiaoqin;  Gao, Han;  Zhu, Jian;  Huang, Yong;  Zhu, Yongbei;  Huang, Wei;  Li, Zhenjiang;  Sun, Kai;  Liu, Zhenyu;  Tian, Jie;  Li, Baosheng
收藏  |  浏览/下载：211/0  |  提交时间：2021/12/28