Search Results - "Qin, Binjie"

Texture Variation Adaptive Image Denoising With Nonlocal PCA by Zhao, Wenzhao, Liu, Qiegen, Lv, Yisong, Qin, Binjie

“…Image textures, as a kind of local variations, provide important information for the human visual system. Many image textures, especially the small-scale or…”
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Detail-Preserving Image Denoising via Adaptive Clustering and Progressive PCA Thresholding by Zhao, Wenzhao, Lv, Yisong, Liu, Qiegen, Qin, Binjie

“…This paper proposes a detail-preserving image denoising method via cluster-wise progressive principal component analysis (PCA) thresholding based on the…”
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WpmDecolor: weighted projection maximum solver for contrast-preserving decolorization by Liu, Qiegen, Li, Sanqian, Xiong, Jiaojiao, Qin, Binjie

“…This paper presents a novel semi-reference inspired color-to-gray conversion model for faithfully preserving the contrast details of the color image,…”
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Iterative scheme-inspired network for impulse noise removal by Zhang, Minghui, Liu, Yiling, Li, Guanyu, Qin, Binjie, Liu, Qiegen

“…This paper presents a supervised data-driven algorithm for impulse noise removal via iterative scheme-inspired network (IIN). IIN is defined over a data flow…”
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Target/Background Classification Regularized Nonnegative Matrix Factorization for Fluorescence Unmixing by Qin, Binjie, Hu, Chen, Huang, Shaosen

“…Nonnegative matrix factorization (NMF) is usually applied to multispectral fluorescence imaging for fluorescence unmixing. Unfortunately, most NMF-based…”
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Editorial: Cerebral vessel extraction—from image acquisition to machine learning by Qin, Binjie, Chen, Sung-Liang, Miao, Peng, Teng, Zhongzhao

“…To discriminate symptomatic carotid artery plaque, the authors used three factors including high-density lipoprotein cholesterol (HDL-C), angiographic…”
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REDAEP: Robust and Enhanced Denoising Autoencoding Prior for Sparse-View CT Reconstruction by Zhang, Fengqin, Zhang, Minghui, Qin, Binjie, Zhang, Yi, Xu, Zichen, Liang, Dong, Liu, Qiegen

“…In X-ray computed tomography, radiation doses are harmful but can be significantly reduced by intuitively decreasing the number of projections. However, less…”
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Micro-Droplet Detection Method for Measuring the Concentration of Alkaline Phosphatase-Labeled Nanoparticles in Fluorescence Microscopy by Li, Rufeng, Wang, Yibei, Xu, Hong, Fei, Baowei, Qin, Binjie

“…This paper developed and evaluated a quantitative image analysis method to measure the concentration of the nanoparticles on which alkaline phosphatase (AP)…”
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Nonrigid Registration of Brain Tumor Resection MR Images Based on Joint Saliency Map and Keypoint Clustering by Gu, Zhijun, Qin, Binjie

“…This paper proposes a novel global-to-local nonrigid brain MR image registration to compensate for the brain shift and the unmatchable outliers caused by the…”
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Joint-Saliency Structure Adaptive Kernel Regression with Adaptive-Scale Kernels for Deformable Registration of Challenging Images by Qin, Binjie, Shen, Zhuangming, Fu, Zeshan, Zhou, Zien, Lv, Yisong, Bao, Jinsong

“…This paper proposes a locally adaptive kernel regression with adaptive-scale kernels for deformable image registration with outliers (i.e., missing…”
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Ultrasound Imaging Technologies for Breast Cancer Detection and Management: A Review by Guo, Rongrong, Lu, Guolan, Qin, Binjie, Fei, Baowei

“…Ultrasound imaging is a commonly used modality for breast cancer detection and diagnosis. In this review, we summarize ultrasound imaging technologies and…”
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Spectral unmixing for in vivo fluorescence imaging based on accurate target-to-background estimation by Cheng Hu, Yong Zhao, Binjie Qin

“…Spectral unmixing is a useful technique in fluorescence imaging for reducing the effects of background fluorescence (BF), also called autofluorescence (AF),…”
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Classification initialized hierarchical ALS-based NMF with partial sparseness constraints for fluorescence spectral unmixing by Shaosen Huang, Cheng Hu, Binjie Qin

“…Nonnegative Matrix Factorization (NMF) is widely used in the spectral unmixing of fluorescence imaging, which decomposes the mixed fluorescence components into…”
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Phase Asymmetry Ultrasound Despeckling With Fractional Anisotropic Diffusion and Total Variation by Mei, Kunqiang, Hu, Bin, Fei, Baowei, Qin, Binjie

“…We propose an ultrasound speckle filtering method for not only preserving various edge features but also filtering tissue-dependent complex speckle noises in…”
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Sequential vessel segmentation via deep channel attention network by Hao, Dongdong, Ding, Song, Qiu, Linwei, Lv, Yisong, Fei, Baowei, Zhu, Yueqi, Qin, Binjie

“…Accurately segmenting contrast-filled vessels from X-ray coronary angiography (XCA) image sequence is an essential step for the diagnosis and therapy of…”
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Extracting contrast-filled vessels in X-ray angiography by graduated RPCA with motion coherency constraint by Jin, Mingxin, Li, Rong, Jiang, Jian, Qin, Binjie

“…X-ray coronary angiography can provide rich dynamic information of cardiac and vascular function. Extracting contrast-filled vessel from the complex dynamic…”
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Robust PCA Unrolling Network for Super-Resolution Vessel Extraction in X-Ray Coronary Angiography by Qin, Binjie, Mao, Haohao, Liu, Yiming, Zhao, Jun, Lv, Yisong, Zhu, Yueqi, Ding, Song, Chen, Xu

“…Although robust PCA has been increasingly adopted to extract vessels from X-ray coronary angiography (XCA) images, challenging problems such as inefficient…”
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Multi-Channel and Multi-Model-Based Autoencoding Prior for Grayscale Image Restoration by Li, Sanqian, Qin, Binjie, Xiao, Jing, Liu, Qiegen, Wang, Yuhao, Liang, Dong

“…Image restoration (IR) is a long-standing challenging problem in low-level image processing. It is of utmost importance to learn good image priors for pursuing…”
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Locating X-ray coronary angiogram keyframes via long short-term spatiotemporal attention with image-to-patch contrastive learning by Zhang, Ruipeng, Qin, Binjie, Zhao, Jun, Zhu, Yueqi, Lv, Yisong, Ding, Song

“…Locating the start, apex and end keyframes of moving contrast agents for keyframe counting in X-ray coronary angiography (XCA) is very important for the…”
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Robust non-rigid image registration using incomplete information, adaptive normalized convolution and similarity measure combination by Zien Zhou, Binjie Qin

“…A novel algorithm within block matching framework is presented for robust non-rigid registration of medical images with incomplete information. After getting…”
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