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期刊论文 [30]
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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
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/22
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
收藏
  |  
浏览/下载:4/0
  |  
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
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  |  
浏览/下载:19/0
  |  
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
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  |  
浏览/下载:16/0
  |  
提交时间:2022/11/21
mp-MRI
Prostate cancer
Grade group
Patient-level prediction
Deep learning
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
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  |  
浏览/下载:52/0
  |  
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
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2022/02/16
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
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  |  
浏览/下载:50/0
  |  
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
Improving initial nodal staging of T3 rectal cancer using quantitative image features
期刊论文
BRITISH JOURNAL OF SURGERY, 2020, 页码: 2
作者:
Zhou, Xuezhi
;
Liu, Zhenyu
;
Zhang, Dafu
;
Wu, Lin
;
Sun, Kai
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2020/09/28
Radiopathomics strategy combining multiparametric MRI with whole-slide image for pretreatment prediction of tumor regression grade to neoadjuvant chemoradiotherapy in rectal cancer
期刊论文
CANCER RESEARCH, 2020, 卷号: 80, 期号: 16, 页码: 2
作者:
Shao, Lizhi
;
Liu, Zhenyu
;
Feng, Lili
;
Lou, Xiaoying
;
Li, Zhenhui
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2021/03/29
Multiparametric MRI and Whole Slide Image-Based Pretreatment Prediction of Pathological Response to Neoadjuvant Chemoradiotherapy in Rectal Cancer: A Multicenter Radiopathomic Study
期刊论文
ANNALS OF SURGICAL ONCOLOGY, 2020, 页码: 11
作者:
Shao, Lizhi
;
Liu, Zhenyu
;
Feng, Lili
;
Lou, Xiaoying
;
Li, Zhenhui
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2020/08/31
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