Search Results - "Xue, Wufeng"

Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index by Wufeng Xue, Lei Zhang, Xuanqin Mou, Bovik, Alan C.

“…It is an important task to faithfully evaluate the perceptual quality of output images in many applications, such as image compression, image restoration, and…”
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Direct Multitype Cardiac Indices Estimation via Joint Representation and Regression Learning by Wufeng Xue, Islam, Ali, Bhaduri, Mousumi, Shuo Li

“…Cardiac indices estimation is of great importance during identification and diagnosis of cardiac disease in clinical routine. However, estimation of multitype…”
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Learning without Human Scores for Blind Image Quality Assessment by Wufeng Xue, Lei Zhang, Xuanqin Mou

“…General purpose blind image quality assessment (BIQA) has been recently attracting significant attention in the fields of image processing, vision and machine…”
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Edge Strength Similarity for Image Quality Assessment by Zhang, Xuande, Feng, Xiangchu, Wang, Weiwei, Xue, Wufeng

“…The objective image quality assessment aims to model the perceptual fidelity of semantic information between two images. In this letter, we assume that the…”
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Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information by Xue, Wufeng, Cao, Chunyan, Liu, Jie, Duan, Yilian, Cao, Haiyan, Wang, Jian, Tao, Xumin, Chen, Zejian, Wu, Meng, Zhang, Jinxiang, Sun, Hui, Jin, Yang, Yang, Xin, Huang, Ruobing, Xiang, Feixiang, Song, Yue, You, Manjie, Zhang, Wen, Jiang, Lili, Zhang, Ziming, Kong, Shuangshuang, Tian, Ying, Zhang, Li, Ni, Dong, Xie, Mingxing

“…•We conducted the first large scale research for AI-based LUS analysis of COVID-19 and built an effective framework for COVID-19 diagnosis.•We designed a…”
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Perceptual Fidelity Aware Mean Squared Error by Xue, Wufeng, Mou, Xuanqin, Zhang, Lei, Feng, Xiangchu

“…How to measure the perceptual quality of natural images is an important problem in low level vision. It is known that the Mean Squared Error (MSE) is not an…”
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MA-Shape: Modality Adaptation Shape Regression for Left Ventricle Segmentation on Mixed MR and CT Images by Cong, Jinyu, Zheng, Yuanjie, Xue, Wufeng, Cao, Bofeng, Li, Shuo

“…Left ventricle (LV) segmentation is essential to clinical quantification and diagnosis of cardiac images. While most existing LV segmentation methods focus on…”
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Assessment of left ventricular ejection fraction in artificial intelligence based on left ventricular opacification by Zhu, Ye, Zhang, Zisang, Ma, Junqiang, Zhang, Yiwei, Zhu, Shuangshuang, Liu, Manwei, Zhang, Ziming, Wu, Chun, Xu, Chunyan, Wu, Anjun, Sun, Chenchen, Yang, Xin, Wang, Yonghuai, Ma, Chunyan, Cheng, Jun, Ni, Dong, Wang, Jing, Xie, Mingxing, Xue, Wufeng, Zhang, Li

“…Left ventricular opacification (LVO) improves the accuracy of left ventricular ejection fraction (LVEF) by enhancing the visualization of the endocardium…”
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Automatic view classification of contrast and non-contrast echocardiography by Zhu, Ye, Ma, Junqiang, Zhang, Zisang, Zhang, Yiwei, Zhu, Shuangshuang, Liu, Manwei, Zhang, Ziming, Wu, Chun, Yang, Xin, Cheng, Jun, Ni, Dong, Xie, Mingxing, Xue, Wufeng, Zhang, Li

“…Contrast and non-contrast echocardiography are crucial for cardiovascular diagnoses and treatments. Correct view classification is a foundational step for the…”
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Bridge Segmentation Performance Gap Via Evolving Shape Prior by Chen, Chaoyu, Yang, Xin, Dou, Haoran, Huang, Ruobing, Huang, Xiaoqiong, Wang, Xu, Duan, Chong, Li, Shengli, Xue, Wufeng, Heng, Pheng Ann, Ni, Dong

“…Deep neural networks are very compelling for medical image segmentation. However, deep models often suffer from notable performance drops in real clinical…”
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An image quality assessment metric based on Non-shift Edge by Wufeng Xue, Xuanqin Mou

“…In this paper, we propose a novel metric for image quality assessment based on the ratio of Non-shift Edge (rNSE), whose elegance lies in succinctness and…”
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Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features by Xue, Wufeng, Mou, Xuanqin, Zhang, Lei, Bovik, Alan C., Feng, Xiangchu

“…Blind image quality assessment (BIQA) aims to evaluate the perceptual quality of a distorted image without information regarding its reference image. Existing…”
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Full left ventricle quantification via deep multitask relationships learning by Xue, Wufeng, Brahm, Gary, Pandey, Sachin, Leung, Stephanie, Li, Shuo

“…•An effective end-to-end integrated framework for full quantification of cardiac LV.•A brand-new multitask relationship learning method for deep neural…”
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Sketch guided and progressive growing GAN for realistic and editable ultrasound image synthesis by Liang, Jiamin, Yang, Xin, Huang, Yuhao, Li, Haoming, He, Shuangchi, Hu, Xindi, Chen, Zejian, Xue, Wufeng, Cheng, Jun, Ni, Dong

“…•A GAN-based framework for synthesizing realistic, high-resolution and editable US images.•Sketch guidance enhances structural details of generated images.•We…”
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Co-learning of appearance and shape for precise ejection fraction estimation from echocardiographic sequences by Wei, Hongrong, Ma, Junqiang, Zhou, Yongjin, Xue, Wufeng, Ni, Dong

“…Accurate estimation of ejection fraction (EF) from echocardiography is of great importance for evaluation of cardiac function. It is usually obtained by the…”
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Left ventricle quantification with sample-level confidence estimation via Bayesian neural network by Xue, Wufeng, Guo, Tingting, Ni, Dong

“…•A LV quantification method that provide both the quantification results and the sample-level confidence assessment.•An uncertainty-weighted loss to attenuate…”
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Regional Cardiac Motion Scoring With Multi-Scale Motion-Based Spatial Attention by Xue, Wufeng, Chen, Zejian, Wang, Tianfu, Li, Shuo, Ni, Dong

“…Regional cardiac motion scoring aims to classify the motion status of each myocardium segment into one of the four categories (normal, hypokinetic, akinetic,…”
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Arterial Spin Labeling Images Synthesis From sMRI Using Unbalanced Deep Discriminant Learning by Huang, Wei, Luo, Mingyuan, Liu, Xi, Zhang, Peng, Ding, Huijun, Xue, Wufeng, Ni, Dong

“…Adequate medical images are often indispensable in contemporary deep learning-based medical imaging studies, although the acquisition of certain image…”
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Semi-Supervised Representation Learning for Segmentation on Medical Volumes and Sequences by Chen, Zejian, Zhuo, Wei, Wang, Tianfu, Cheng, Jun, Xue, Wufeng, Ni, Dong

“…Benefiting from the massive labeled samples, deep learning-based segmentation methods have achieved great success for two dimensional natural images. However,…”
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Classification of young healthy individuals with different exercise levels based on multiple musculoskeletal ultrasound images by Sun, Shiyu, Xue, Wufeng, Zhou, Yongjin

“…•A multiple-image-feature-selection (MIFS) framework that combines information from multiple images is proposed to classify 107 subjects (54 regular exercisers…”
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