activity
20132022
most citedSequential vessel segmentation via deep channel attention network

78 citations · 152 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2022

Robust PCA Unrolling Network for Super-resolution Vessel Extraction in X-ray Coronary Angiography

Binjie Qin, Haohao Mao, Yiming Liu +5

Although robust PCA has been increasingly adopted to extract vessels from X-ray coronary angiography (XCA) images, challenging problems such as inefficient vessel-sparsity modellin…

cs.CV2021★ 78 cited

Sequential vessel segmentation via deep channel attention network

Dongdong Hao, Song Ding, Linwei Qiu +4

This paper develops a novel encoder-decoder deep network architecture which exploits the several contextual frames of 2D+t sequential images in a sliding window centered at current…

cs.CV2018★ 38 cited

Texture variation adaptive image denoising with nonlocal PCA

Wenzhao Zhao, Qiegen Liu, Yisong Lv +1

Image textures, as a kind of local variations, provide important information for human visual system. Many image textures, especially the small-scale or stochastic textures are ric…

cs.CV2013★ 21 cited

Registration of Images with Outliers Using Joint Saliency Map

Binjie Qin, Zhijun Gu, Xianjun Sun +1

Mutual information (MI) is a popular similarity measure for image registration, whereby good registration can be achieved by maximizing the compactness of the clusters in the joint…

physics.med-ph2013★ 15 cited

Reducing Poisson noise and baseline drift in X-ray spectral images with bootstrap Poisson regression and robust nonparametric regression

Feng Zhu, Binjie Qin, Weiyue Feng +4

X-ray spectral imaging provides quantitative imaging of trace elements in biological sample with high sensitivity. We propose a novel algorithm to promote the signal-to-noise ratio…

cs.CV2013

Local Structure Matching Driven by Joint-Saliency-Structure Adaptive Kernel Regression

Binjie Qin, Zhuangming Shen, Zien Zhou +5

For nonrigid image registration, matching the particular structures (or the outliers) that have missing correspondence and/or local large deformations, can be more difficult than m…