Search Results - "Wang, Tangsheng"
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Navigating Uncertainty: Experiences of Older Adults in Wuhan during the 76-Day COVID-19 Lockdown
Published in Healthcare (Basel) (01-11-2023)“…The COVID-19 pandemic continues to affect the world. Wuhan, the epicenter of the outbreak, underwent a 76-day lockdown. Research has indicated that the…”
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Faint Space Target Information Extraction Based on Small Aperture Telescope in Complex Background
Published in Earth and space science (Hoboken, N.J.) (01-10-2024)“…There are many problems in space debris monitoring with ground‐based telescopes, such as too many stars in the same field of view, uneven background and…”
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Incorporating the synthetic CT image for improving the performance of deformable image registration between planning CT and cone-beam CT
Published in Frontiers in oncology (22-02-2023)“…To develop a contrast learning-based generative (CLG) model for the generation of high-quality synthetic computed tomography (sCT) from low-quality cone-beam…”
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COVID-19 Detection via Ultra-Low-Dose X-ray Images Enabled by Deep Learning
Published in Bioengineering (Basel) (01-11-2023)“…The detection of Coronavirus disease 2019 (COVID-19) is crucial for controlling the spread of the virus. Current research utilizes X-ray imaging and artificial…”
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An attention-based deep convolutional neural network for ultra-sparse-view CT reconstruction
Published in Computers in biology and medicine (01-07-2023)“…X-ray Computed Tomography (CT) techniques play a vitally important role in clinical diagnosis, but radioactivity exposure can also induce the risk of cancer…”
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Volumetric tumor tracking from a single cone-beam X-ray projection image enabled by deep learning
Published in Medical image analysis (01-01-2024)“…Radiotherapy serves as a pivotal treatment modality for malignant tumors. However, the accuracy of radiotherapy is significantly compromised due to…”
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A statistical deformation model-based data augmentation method for volumetric medical image segmentation
Published in Medical image analysis (01-01-2024)“…The accurate delineation of organs-at-risk (OARs) is a crucial step in treatment planning during radiotherapy, as it minimizes the potential adverse effects of…”
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An unsupervised dual contrastive learning framework for scatter correction in cone-beam CT image
Published in Computers in biology and medicine (01-10-2023)“…Cone-beam computed tomography (CBCT) is widely utilized in modern radiotherapy; however, CBCT images exhibit increased scatter artifacts compared to planning…”
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Sinogram domain metal artifact correction of CT via deep learning
Published in Computers in biology and medicine (01-03-2023)“…Metal artifacts can significantly decrease the quality of computed tomography (CT) images. This occurs as X-rays penetrate implanted metals, causing severe…”
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Analysis of Individual Career Decision-Making Based on Partial Least-Squares Regression Model
Published in 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery (01-08-2009)“…In the process of career choices, the different individual has always different ways of reaction, so it becomes a hotspot of research for effective career…”
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