Search Results - "Yuan, Xuedong"

The Tumor Target Segmentation of Nasopharyngeal Cancer in CT Images Based on Deep Learning Methods by Li, Shihao, Xiao, Jianghong, He, Ling, Peng, Xingchen, Yuan, Xuedong

“…Radiotherapy is the main treatment strategy for nasopharyngeal carcinoma. A major factor affecting radiotherapy outcome is the accuracy of target delineation…”
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The effect of population size for pathogen transmission on prediction of COVID-19 spread by Zhang, Xuqi, Liu, Haiqi, Tang, Hanning, Zhang, Mei, Yuan, Xuedong, Shen, Xiaojing

“…Extreme public health interventions play a critical role in mitigating the local and global prevalence and pandemic potential. Here, we use population size for…”
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Fundamental Matrix Computing Based on 3D Metrical Distance by Li, Xinsheng, Yuan, Xuedong

“…To reconstruct point geometry from multiple images, computation of the fundamental matrix is always necessary. With a new optimization criterion, i.e., the…”
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Set-Membership Filtering for Nonlinear Dynamic Systems With Quadratic Inequality Constraints by Li, Xiaowei, Yuan, Xuedong, Meng, Fanqin, Liao, Yiwei, Liu, Haiqi, Zhang, Xuqi, Shen, Xiaojing

“…The present study investigates the problem of set-membership filtering for nonlinear dynamic systems with general nonconvex inhomogeneous quadratic inequality…”
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Prevalence and management of pain in lung cancer patients in northern China: A multicenter cross‐sectional study by Zhang, Bo, Li, Xingya, Ma, Zhiyong, Zhang, Shucai, Song, Xia, Gao, Hongjun, Gong, Liqun, Hu, Yi, Wang, Mengzhao, Jiang, Da, Zhang, Cuiying, Yuan, Xuedong, Cao, Baoshan, Zhang, Peng, Nie, Ligong, Zhang, Yuhui, Chen, Xiaoyan, Han, Lei, Wei, Wenqiang, Shi, Yuankai

“…Background Pain is a fearful yet common symptom among lung cancer patients. This multicenter, cross‐sectional study was conducted to examine the current status…”
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An interactive dual-branch network for hard palate segmentation of the oral cavity from CBCT images by Zou, Ke, Tao, Tianjin, Yuan, Xuedong, Shen, Xiaojing, Lai, Wenli, Long, Hu

“…Automatic and accurate segmentation of the hard palate from Cone Beam and Computed Tomography (CBCT) images is a fundamental task for the insertion of…”
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Confidence-aware multi-modality learning for eye disease screening by Zou, Ke, Lin, Tian, Han, Zongbo, Wang, Meng, Yuan, Xuedong, Chen, Haoyu, Zhang, Changqing, Shen, Xiaojing, Fu, Huazhu

“…Multi-modal ophthalmic image classification plays a key role in diagnosing eye diseases, as it integrates information from different sources to complement…”
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Block Matching Algorithm Based on Particle Swarm Optimization for Motion Estimation by Xuedong Yuan, Xiaojing Shen

“…In this paper, based on particle swarm optimization (PSO), we propose a fast block matching algorithm for motion estimation (ME) and compare the algorithm with…”
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Artificial intelligence‐assisted determination of available sites for palatal orthodontic mini implants based on palatal thickness through CBCT by Tao, Tianjin, Zou, Ke, Jiang, Ruiyi, He, Ketai, He, Xian, Zhang, Mengyun, Wu, Zhouqiang, Shen, Xiaojing, Yuan, Xuedong, Lai, Wenli, Long, Hu

“…Objectives To develop an artificial intelligence (AI) system for automatic palate segmentation through CBCT, and to determine the personalized available sites…”
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Optimization of Optomotor Response-based Visual Function Assessment in Mice by Shi, Cong, Yuan, Xuedong, Chang, Karen, Cho, Kin-Sang, Xie, Xinmin Simon, Chen, Dong Feng, Luo, Gang

“…Optomotor response/reflex (OMR) assays are emerging as a powerful and versatile tool for phenotypic study and new drug discovery for eye and brain disorders…”
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A review of uncertainty estimation and its application in medical imaging by Ke Zou, Zhihao Chen, Xuedong Yuan, Xiaojing Shen, Meng Wang, Huazhu Fu

“…The use of AI systems in healthcare for the early screening of diseases is of great clinical importance. Deep learning has shown great promise in medical…”
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TBraTS: Trusted Brain Tumor Segmentation by Zou, Ke, Yuan, Xuedong, Shen, Xiaojing, Wang, Meng, Fu, Huazhu

“…Despite recent improvements in the accuracy of brain tumor segmentation, the results still exhibit low levels of confidence and robustness. Uncertainty…”
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Confidence-aware multi-modality learning for eye disease screening by Zou, Ke, Lin, Tian, Han, Zongbo, Wang, Meng, Yuan, Xuedong, Chen, Haoyu, Zhang, Changqing, Shen, Xiaojing, Fu, Huazhu

“…Multi-modal ophthalmic image classification plays a key role in diagnosing eye diseases, as it integrates information from different sources to complement…”
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SAM-U: Multi-box prompts triggered uncertainty estimation for reliable SAM in medical image by Deng, Guoyao, Zou, Ke, Ren, Kai, Wang, Meng, Yuan, Xuedong, Ying, Sancong, Fu, Huazhu

“…Recently, Segmenting Anything has taken an important step towards general artificial intelligence. At the same time, its reliability and fairness have also…”
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A Multi-view Impartial Decision Network for Frontotemporal Dementia Diagnosis by Deng, Guoyao, Zou, Ke, Wang, Meng, Yuan, Xuedong, Ying, Sancong, Fu, Huazhu

“…Frontotemporal Dementia (FTD) diagnosis has been successfully progress using deep learning techniques. However, current FTD identification methods suffer from…”
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MedRG: Medical Report Grounding with Multi-modal Large Language Model by Zou, Ke, Bai, Yang, Chen, Zhihao, Zhou, Yang, Chen, Yidi, Ren, Kai, Wang, Meng, Yuan, Xuedong, Shen, Xiaojing, Fu, Huazhu

“…Medical Report Grounding is pivotal in identifying the most relevant regions in medical images based on a given phrase query, a critical aspect in medical…”
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Reliable Multimodality Eye Disease Screening via Mixture of Student's t Distributions by Zou, Ke, Lin, Tian, Yuan, Xuedong, Chen, Haoyu, Shen, Xiaojing, Wang, Meng, Fu, Huazhu

“…Multimodality eye disease screening is crucial in ophthalmology as it integrates information from diverse sources to complement their respective performances…”
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Uncertainty-informed Mutual Learning for Joint Medical Image Classification and Segmentation by Ren, Kai, Zou, Ke, Liu, Xianjie, Chen, Yidi, Yuan, Xuedong, Shen, Xiaojing, Wang, Meng, Fu, Huazhu

“…Classification and segmentation are crucial in medical image analysis as they enable accurate diagnosis and disease monitoring. However, current methods often…”
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A Review of Uncertainty Estimation and its Application in Medical Imaging by Zou, Ke, Chen, Zhihao, Yuan, Xuedong, Shen, Xiaojing, Wang, Meng, Fu, Huazhu

“…The use of AI systems in healthcare for the early screening of diseases is of great clinical importance. Deep learning has shown great promise in medical…”
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Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty by Zou, Ke, Chen, Yidi, Huang, Ling, Yuan, Xuedong, Shen, Xiaojing, Wang, Meng, Goh, Rick Siow Mong, Liu, Yong, Fu, Huazhu

“…Medical image segmentation is critical for disease diagnosis and treatment assessment. However, concerns regarding the reliability of segmentation regions…”
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