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科研机构
自动化研究所 [21]
合肥物质科学研究院 [4]
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期刊论文 [23]
会议论文 [1]
学位论文 [1]
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2021 [25]
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Cross-Phase Adversarial Domain Adaptation for Deep Disease-free Survival Prediction with Gastric Cancer CT Images
会议论文
Mexico, Oct 31 - Nov 4, 2021
作者:
Wang Siwen
;
Dong Di
;
Li Hailin
;
Feng Caizhen
;
Wang Yi
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/06/14
Preoperative CT-Based Radiomics Combined With Nodule Type to Predict the Micropapillary Pattern in Lung Adenocarcinoma of Size 2 cm or Less: A Multicenter Study
期刊论文
FRONTIERS IN ONCOLOGY, 2021, 卷号: 11
作者:
Li, Meirong
;
Ruan, Yachao
;
Feng, Zhan
;
Sun, Fangyu
;
Wang, Minhong
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2022/01/10
lung adenocarcinoma
radiomics model
micropapillary pattern (MPP)
multicenter
computed tomography
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
收藏
  |  
浏览/下载:56/0
  |  
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
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2021/12/28
Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study
期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:
Gu, Jionghui
;
Tong, Tong
;
He, Chang
;
Xu, Min
;
Yang, Xin
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  |  
浏览/下载:52/0
  |  
提交时间:2021/12/28
Breast cancer
Deep learning
Neoadjuvant chemotherapy
Ultrasonography
Treatment outcome
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma
期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:
An, Chao
;
Li, Dongyang
;
Li, Sheng
;
Li, Wangzhong
;
Tong, Tong
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2021/12/28
Lymph node metastases
Pancreatic ductal adenocarcinoma
Deep learning
Dual-energy computed tomography
Prognosis
Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 10, 页码: 3933-3942
作者:
Zhang, Liwen
;
Dong, Di
;
Zhong, Lianzhen
;
Li, Cong
;
Hu, Chaoen
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  |  
浏览/下载:40/0
  |  
提交时间:2021/12/28
Hazards
Feature extraction
Computed tomography
Cancer
Radiomics
Indexes
Bioinformatics
Overall survival
gastric cancer
multi-level
CT image
deep learning
Radiomics diagnosed histopathological growth pattern in prediction of response and 1-year progression free survival for colorectal liver metastases patients treated with bevacizumab containing chemotherapy
期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2021, 卷号: 142, 页码: 8
作者:
Wei, Shengcai
;
Han, Yuqi
;
Zeng, Hanjiang
;
Ye, Shuai
;
Cheng, Jin
收藏
  |  
浏览/下载:69/0
  |  
提交时间:2021/11/03
Histopathologic growth pattern
Colorectal liver metastases
Unresectable
Radiomics
Bevacizumab
Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research
期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
作者:
Wang, Siwen
;
Dong, Di
;
Zhang, Wenjuan
;
Hu, Hui
;
Li, Hailin
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2021/11/02
advanced gastric cancer
Borrmann classification
ensemble learning
multilayer perceptron networks
radiomics
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
收藏
  |  
浏览/下载:74/0
  |  
提交时间:2021/11/03
Multi-task deep learning
Radiomic nomogram
Survival analysis
Treatment decision
Advanced nasopharyngeal carcinoma
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