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科研机构
自动化研究所 [83]
复旦大学上海医学院 [3]
中南大学 [1]
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合肥物质科学研究院 [1]
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期刊论文 [84]
会议论文 [5]
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浏览/检索结果:
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Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study
期刊论文
BMC MEDICINE, 2023, 卷号: 21, 期号: 1, 页码: 13
作者:
Liu, Ting
;
Dong, Di
;
Zhao, Xun
;
Ou, Xiao-Min
;
Yi, Jun-Lin
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/22
Recurrent nasopharyngeal carcinoma
Re-radiotherapy
Nasopharyngeal necrosis
Radiomics
Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer
期刊论文
MEDICAL PHYSICS, 2023, 页码: 11
作者:
Liu, Shengyuan
;
Deng, Jingyu
;
Dong, Di
;
Fang, Mengjie
;
Ye, Zhaoxiang
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/11/22
deep learning
extranodal soft tissue metastasis
gastric cancer
radiomics
The radiomic-clinical model using the SHAP method for assessing the treatment response of whole-brain radiotherapy: a multicentric study
期刊论文
EUROPEAN RADIOLOGY, 2022
作者:
Wang, Yixin
;
Lang, Jinwei
;
Zuo, Joey Zhaoyu
;
Dong, Yaqin
;
Hu, Zongtao
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/12/23
Magnetic resonance imaging
Neoplasm metastasis
Machine learning
Radiotherapy
Game theory
The potential of prostate gland radiomic features in identifying the Gleason score
期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 卷号: 144, 页码: 11
作者:
Gong, Lixin
;
Xu, Min
;
Fang, Mengjie
;
He, Bingxi
;
Li, Hailin
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/07/25
MRI
Radiomics
Prostate cancer
Gleason score
Gland segmentation
A novel machine learning-based radiomic model for diagnosing high bleeding risk esophageal varices in cirrhotic patients
期刊论文
HEPATOLOGY INTERNATIONAL, 2022, 卷号: 16, 期号: 2, 页码: 423-432
作者:
Yan, Yijie
;
Li, Yue
;
Fan, Chunlei
;
Zhang, Yuening
;
Zhang, Shibin
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2022/06/10
Machine learning
Radiomic model
Esophageal varices
Cirrhotic portal hypertension
Computed tomography
Endoscopy
Preoperative Prediction of Malignant Transformation of Sinonasal Inverted Papilloma Using MR Radiomics
期刊论文
FRONTIERS IN ONCOLOGY, 2022, 卷号: 12, 页码: 10
作者:
Yan, Yang
;
Liu, Yujia
;
Tao, Jianhua
;
Li, Zheng
;
Qu, Xiaoxia
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/06/10
inverted papilloma (IP)
squamous cell carcinoma
sinonasal cancer
radiomics
magnetic resonance imaging
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
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2022/03/17
chemotherapy
deep learning
diagnosis
signet-ring cell carcinoma
survival
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:70/0
  |  
提交时间:2021/11/03
Multi-task deep learning
Radiomic nomogram
Survival analysis
Treatment decision
Advanced nasopharyngeal carcinoma
Quantitative Radiomic Features as New Biomarkers for Alzheimer's Disease: An Amyloid PET Study
期刊论文
CEREBRAL CORTEX, 2021, 卷号: 31, 期号: 8, 页码: 3950-3961
作者:
Ding, Yanhui
;
Zhao, Kun
;
Che, Tongtong
;
Du, Kai
;
Sun, Hongzan
收藏
  |  
浏览/下载:75/0
  |  
提交时间:2021/11/02
Alzheimer's disease
biomarker
machine learning
prediction
quantitative radiomic features
Commissioning and clinical implementation of an Autoencoder based Classification-Regression model for VMAT patient-specific QA in a multi-institution scenario
期刊论文
RADIOTHERAPY AND ONCOLOGY, 2021, 卷号: 161, 页码: 230-240
作者:
Yang, Ruijie
;
Yang, Xueying
;
Wang, Le
;
Li, Dingjie
;
Guo, Yuexin
收藏
  |  
浏览/下载:133/0
  |  
提交时间:2021/11/02
Machine learning
VMAT patient-specific QA
Multi-institution validation
Commissioning
Clinical implementation
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