The global burden and trends of four major types of heart disease, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
…, H Sun, Y Liu, C Zhai, W Hu, Q Zong, D Hu, Z Yan… - Public Health, 2023 - Elsevier
Objectives The global burden of heart disease is severe and increasing in the coming years.
This study aims to analyze the global burden of heart disease. Study design Rheumatic …
This study aims to analyze the global burden of heart disease. Study design Rheumatic …
Mutually aided uncertainty incorporated dual consistency regularization with pseudo label for semi-supervised medical image segmentation
Semi-supervised learning has contributed plenty to promoting computer vision tasks.
Especially concerning medical images, semi-supervised image segmentation can significantly …
Especially concerning medical images, semi-supervised image segmentation can significantly …
Global, regional, and national deaths, disability-adjusted life years, years lived with disability, and years of life lost for the global disease burden attributable to second …
C Zhai, D Hu, G Yu, W Hu, Q Zong, Z Yan… - Science of the Total …, 2023 - Elsevier
Background Smoke-free policies have led to a decline in smoking prevalence. Nevertheless,
as the global population grows, more non-smokers are exposed to second-hand smoke (…
as the global population grows, more non-smokers are exposed to second-hand smoke (…
Dual consistency regularization with subjective logic for semi-supervised medical image segmentation
Semi-supervised learning plays a vital role in computer vision tasks, particularly in medical
image analysis. It significantly reduces the time and cost involved in labeling data. Current …
image analysis. It significantly reduces the time and cost involved in labeling data. Current …
Global disease burden attributed to high sugar-sweetened beverages in 204 countries and territories from 1990 to 2019
…, W Hu, Y Wang, Q Zong, G Yu, L Wang, Z Yan… - Preventive …, 2023 - Elsevier
High sugar-sweetened beverages (SSBs) are a controllable risk factor for chronic non-communicable
diseases (NCDs), but their effect on the global disease burden is uncertain. The …
diseases (NCDs), but their effect on the global disease burden is uncertain. The …
Global, regional, and national burden of digestive diseases: findings from the global burden of disease study 2019
F Wang, D Hu, H Sun, Z Yan, Y Wang, L Wang… - Frontiers in Public …, 2023 - frontiersin.org
Background The global burden of digestive diseases has been rising in the last 30 years.
The rates and trends of incidence, deaths, and disability-adjusted life-years (DALYs) for …
The rates and trends of incidence, deaths, and disability-adjusted life-years (DALYs) for …
A deep learning approach for automatic tumor delineation in stereotactic radiotherapy for non-small cell lung cancer using diagnostic PET-CT and planning CT
…, L He, Y Wang, Y Dong, Y Song, Z Yuan, Z Yan… - Frontiers in …, 2023 - frontiersin.org
Introduction Accurate delineation of tumor targets is crucial for stereotactic body radiation
therapy (SBRT) for non-small cell lung cancer (NSCLC). This study aims to develop a deep …
therapy (SBRT) for non-small cell lung cancer (NSCLC). This study aims to develop a deep …
Super resolution in CT
Z Yan, J Li, Y Lu, H Yan, Y Zhao - International Journal of …, 2015 - Wiley Online Library
The general framework of super resolution in computed tomography (CT) system is introduced.
Two data acquisition ways before or after the reconstruction respectively are described. …
Two data acquisition ways before or after the reconstruction respectively are described. …
Validation of an established TW3 artificial intelligence bone age assessment system: a prospective, multicenter, confirmatory study
…, R Zheng, Y Wei, W Lu, Y Liu, Z Yan… - … Imaging in Medicine …, 2023 - pmc.ncbi.nlm.nih.gov
Background In 2020, our center established a Tanner-Whitehouse 3 (TW3) artificial intelligence
(AI) system using a convolutional neural network (CNN), which was built upon 9059 …
(AI) system using a convolutional neural network (CNN), which was built upon 9059 …
Prognosis forecast of re-irradiation for recurrent nasopharyngeal carcinoma based on deep learning multi-modal information fusion
S Lu, X Xiao, Z Yan, T Cheng, X Tan… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Radiation therapy is the primary treatment for recurrent nasopharyngeal carcinoma. However,
it may induce necrosis of the nasopharynx, leading to severe complications such as …
it may induce necrosis of the nasopharynx, leading to severe complications such as …