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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
Authors:  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
Favorite  |  View/Download：14/0  |  Submit date：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
Authors:  Shao, Lizhi;  Liu, Zhenyu;  Liu, Jiangang;  Yan, Ye;  Sun, Kai;  Liu, Xiangyu;  Lu, Jian;  Tian, Jie
Favorite  |  View/Download：23/0  |  Submit date：2022/11/21
mp-MRI  Prostate cancer  Grade group  Patient-level prediction  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
Authors:  Yin,Lin;  Li,Wei;  Du,Yang;  Wang,Kun;  Liu,Zhenyu;  Hui,Hui;  Tian,Jie
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Magnetic particle imaging  Image reconstruction  System matrix  X-space  
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
Authors:  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
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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
Authors:  Sun, Caixia;  Li, Bingbing;  Wei, Genxia;  Qiu, Weihao;  Li, Danyi;  Li, Xiangzhao;  Liu, Xiangyu;  Wei, Wei;  Wang, Shuo;  Liu, Zhenyu;  Tian, Jie;  Liang, Li
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Chemotherapy duration  Whole slide images  Deep learning  Colorectal cancer  Prognosis  
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
Authors:  Sun, Kai;  Zhang, Jing;  Liu, Zhenyu;  Qiu, Qi;  Gao, Han;  Liu, Panpan;  Chen, Kuntao;  Wei, Wei;  Wang, Liang;  Zhang, Junting;  Zhou, Junlin;  Tian, Jie
Favorite  |  View/Download：55/0  |  Submit date：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
Authors:  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
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Major depressive disorder  rs-fMRI  VBM  Radiomics  Classification  
Self-Supervised Monocular Depth Estimation via Discrete Strategy and Uncertainty 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1307-1310
Authors:  Zhenyu Li;  Junjun Jiang;  Xianming Liu
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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
Authors:  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
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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
Authors:  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
Favorite  |  View/Download：64/0  |  Submit date：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