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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：249/0  |  提交时间：2022/12/27
Breast cancer  Neoadjuvant chemotherapy  Pathological complete response  Whole-slide image  Deep learning  
Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer 期刊论文
MEDICAL PHYSICS, 2022, 页码: 12
作者:  Li, Cong;  Qin, Yun;  Zhang, Wei-Han;  Jiang, Hanyu;  Song, Bin;  Bashir, Mustafa R.;  Xu, Heng;  Duan, Ting;  Fang, Mengjie;  Zhong, Lianzhen;  Meng, Lingwei;  Dong, Di;  Hu, Zhenhua;  Tian, Jie;  Hu, Jian-Kun
Adobe PDF(1878Kb)  |  收藏  |  浏览/下载：390/85  |  提交时间：2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
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：296/0  |  提交时间：2022/02/16
Major depressive disorder  rs-fMRI  VBM  Radiomics  Classification  
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：298/0  |  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  
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
作者:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  收藏  |  浏览/下载：371/69  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
Neuroimaging Phenotyping and Assessment of Structural-Metabolic-Electrophysiological Alterations in the Temporal Neocortex of Focal Cortical Dysplasia IIIa 期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2021, 页码: 11
作者:  Mo, Jiajie;  Wei, Wei;  Liu, Zhenyu;  Zhang, Jianguo;  Ma, Yanshan;  Sang, Lin;  Hu, Wenhan;  Zhang, Chao;  Wang, Yao;  Wang, Xiu;  Liu, Chang;  Zhao, Baotian;  Gao, Dongmei;  Tian, Jie;  Zhang, Kai
收藏  |  浏览/下载：243/0  |  提交时间：2021/05/17
focal cortical dysplasia  temporal neocortex  neuroimaging phenotyping  cross‐  modalities correlation  
Radiologist-like artificial intelligence for grade group prediction of radical prostatectomy for reducing upgrading and downgrading from biopsy 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 22, 页码: 10200-10212
作者:  Shao, Lizhi;  Yan, Ye;  Liu, Zhenyu;  Ye, Xiongjun;  Xia, Haizhui;  Zhu, Xuehua;  Zhang, Yuting;  Zhang, Zhiying;  Chen, Huiying;  He, Wei;  Liu, Cheng;  Lu, Min;  Huang, Yi;  Ma, Lulin;  Sun, Kai;  Zhou, Xuezhi;  Yang, Guanyu;  Lu, Jian;  Tian, Jie
收藏  |  浏览/下载：270/0  |  提交时间：2021/03/02
prostate cancer  Gleason grade groups  deep reinforcement learning  prostate cancer grading  magnetic resonance imaging  
Multiparametric MRI-based radiomics analysis for the prediction of breast tumor regression patterns after neoadjuvant chemotherapy 期刊论文
TRANSLATIONAL ONCOLOGY, 2020, 卷号: 13, 期号: 11, 页码: 8
作者:  Zhuang, Xiaosheng;  Chen, Chi;  Liu, Zhenyu;  Zhang, Liulu;  Zhou, Xuezhi;  Cheng, Minyi;  Ji, Fei;  Zhu, Teng;  Lei, Chuqian;  Zhang, Junsheng;  Jiang, Jingying;  Tian, Jie;  Wang, Kun
收藏  |  浏览/下载：271/0  |  提交时间：2021/01/07
Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer 期刊论文
NATURE COMMUNICATIONS, 2020, 卷号: 11, 期号: 1, 页码: 11
作者:  Liu, Zhenyu;  Meng, Xiaochun;  Zhang, Hongmei;  Li, Zhenhui;  Liu, Jiangang;  Sun, Kai;  Meng, Yankai;  Dai, Weixing;  Xie, Peiyi;  Ding, Yingying;  Wang, Meiyun;  Cai, Guoxiang;  Tian, Jie
收藏  |  浏览/下载：205/0  |  提交时间：2021/01/07
A radiomics model for preoperative prediction of brain invasion in meningioma non-invasively based on MRI: A multicentre study 期刊论文
EBIOMEDICINE, 2020, 卷号: 58, 页码: 11
作者:  Zhang, Jing;  Yao, Kuan;  Liu, Panpan;  Liu, Zhenyu;  Han, Tao;  Zhao, Zhiyong;  Cao, Yuntai;  Zhang, Guojin;  Zhang, Junting;  Tian, Jie;  Zhou, Junlin
收藏  |  浏览/下载：213/0  |  提交时间：2020/12/04
Meningioma  Brain invasion  Radiomics  Magnetic resonance images