Search Results - "Xiang, Dehui"

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  1. 1

    Speckle noise reduction in optical coherence tomography images based on edge-sensitive cGAN by Ma, Yuhui, Chen, Xinjian, Zhu, Weifang, Cheng, Xuena, Xiang, Dehui, Shi, Fei

    Published in Biomedical optics express (01-11-2018)
    “…Speckle noise in optical coherence tomography (OCT) impairs both the visual quality and the performance of automatic analysis. Edge preservation is an…”
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    Journal Article
  2. 2

    Automatic Liver Segmentation Based on Shape Constraints and Deformable Graph Cut in CT Images by Li, Guodong, Chen, Xinjian, Shi, Fei, Zhu, Weifang, Tian, Jie, Xiang, Dehui

    Published in IEEE transactions on image processing (01-12-2015)
    “…Liver segmentation is still a challenging task in medical image processing area due to the complexity of the liver's anatomy, low contrast with adjacent…”
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    Journal Article
  3. 3

    Automated 3-D Retinal Layer Segmentation of Macular Optical Coherence Tomography Images With Serous Pigment Epithelial Detachments by Fei Shi, Xinjian Chen, Heming Zhao, Weifang Zhu, Dehui Xiang, Enting Gao, Sonka, Milan, Haoyu Chen

    Published in IEEE transactions on medical imaging (01-02-2015)
    “…Automated retinal layer segmentation of optical coherence tomography (OCT) images has been successful for normal eyes but becomes challenging for eyes with…”
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    Journal Article
  4. 4

    Automatic Segmentation of Retinal Layer in OCT Images With Choroidal Neovascularization by Xiang, Dehui, Tian, Haihong, Yang, Xiaoling, Shi, Fei, Zhu, Weifang, Chen, Haoyu, Chena, Xinjian

    Published in IEEE transactions on image processing (01-12-2018)
    “…Age-related macular degeneration is one of the main causes of blindness. However, the internal structures of retinas are complex and difficult to be recognized…”
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    Journal Article
  5. 5

    Editorial: Imaging in the Visual System Disorders by Xiang, Dehui, Chen, Haoyu, Zheng, Jian, Jhanji, Vishal

    Published in Frontiers in neuroscience (30-05-2022)
    “…According to the World Health Organization World Report on Vision 2019, there are at least 2.2 billion visually impaired people worldwide, with at least 1…”
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    Journal Article
  6. 6

    Association between renal surface nodularity and increased adverse vascular event risk in patients with arterial hypertension by Ding, Jiule, Chen, Jie, Zhou, Jun, Jiang, Zhenxing, Xiang, Dehui, Xing, Wei

    “…To explore the association of renal surface nodularity (RSN) with the increased adverse vascular event (AVE) risk in patients with arterial hypertension. This…”
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    Journal Article
  7. 7

    3D Fast Automatic Segmentation of Kidney Based on Modified AAM and Random Forest by Jin, Chao, Shi, Fei, Xiang, Dehui, Jiang, Xueqing, Zhang, Bin, Wang, Ximing, Zhu, Weifang, Gao, Enting, Chen, Xinjian

    Published in IEEE transactions on medical imaging (01-06-2016)
    “…In this paper, a fully automatic method is proposed to segment the kidney into multiple components: renal cortex, renal column, renal medulla and renal pelvis,…”
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    Journal Article
  8. 8

    A Framework for Classification and Segmentation of Branch Retinal Artery Occlusion in SD-OCT by Guo, Jingyun, Zhu, Weifang, Shi, Fei, Xiang, Dehui, Chen, Haoyu, Chen, Xinjian

    Published in IEEE transactions on image processing (01-07-2017)
    “…Branch retinal artery occlusion (BRAO) is an ocular emergency, which could lead to blindness. Quantitative analysis of the BRAO region in the retina is…”
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    Journal Article
  9. 9

    Choroid Neovascularization Growth Prediction With Treatment Based on Reaction-Diffusion Model in 3-D OCT Images by Zhu, Shuxia, Shi, Fei, Xiang, Dehui, Zhu, Weifang, Chen, Haoyu, Chen, Xinjian

    “…Choroid neovascularization (CNV) is caused by new blood vessels growing in the choroid and penetrating the bruch membrane. It is the major cause of vision…”
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    Journal Article
  10. 10

    Association between Quantitative Classification of Renal Surface Nodularity and Early Renal Injury in Patients with Arterial Hypertension by Zhou, Jun, Ding, Jiule, Chen, Jie, Wu, Qiong, Xiang, Dehui, Xing, Wei

    Published in International journal of hypertension (04-03-2022)
    “…Background. This study sought to explore the association between quantitative classification of renal surface nodularity (qRSN) based on computed tomography…”
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    Journal Article
  11. 11

    Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images by Kopriva, Ivica, Wei Ju, Bin Zhang, Fei Shi, Dehui Xiang, Kai Yu, Ximing Wang, Bagci, Ulas, Xinjian Chen

    “…In this paper, we propose a novel method for single-channel blind separation of nonoverlapped sources and, to the best of our knowledge, apply it for the first…”
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    Journal Article
  12. 12

    Comparison of Retinal Thickness Measurements between the Topcon Algorithm and a Graph-Based Algorithm in Normal and Glaucoma Eyes by Gao, Enting, Chen, Binyao, Yang, Jianling, Shi, Fei, Zhu, Weifang, Xiang, Dehui, Chen, Haoyu, Zhang, Mingzhi, Chen, Xinjian

    Published in PloS one (04-06-2015)
    “…To assess the correlation and agreement between the Topcon built-in algorithm and our graph-based algorithm in measuring the total and regional macular…”
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    Journal Article
  13. 13

    A flattest constrained envelope approach for empirical mode decomposition by Zhu, Weifang, Zhao, Heming, Xiang, Dehui, Chen, Xinjian

    Published in PloS one (23-04-2013)
    “…Empirical mode decomposition (EMD) is an adaptive method for nonlinear, non-stationary signal analysis. However, the upper and lower envelopes fitted by cubic…”
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    Journal Article
  14. 14

    Profile and Determinants of Retinal Optical Intensity in Normal Eyes with Spectral Domain Optical Coherence Tomography by Chen, Binyao, Gao, Enting, Chen, Haoyu, Yang, Jianling, Shi, Fei, Zheng, Ce, Zhu, Weifang, Xiang, Dehui, Chen, Xinjian, Zhang, Mingzhi

    Published in PloS one (10-02-2016)
    “…To investigate the profile and determinants of retinal optical intensity in normal subjects using 3D spectral domain optical coherence tomography (SD OCT). A…”
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    Journal Article
  15. 15

    Automatic Three-dimensional Detection of Photoreceptor Ellipsoid Zone Disruption Caused by Trauma in the OCT by Zhu, Weifang, Chen, Haoyu, Zhao, Heming, Tian, Bei, Wang, Lirong, Shi, Fei, Xiang, Dehui, Luo, Xiaohong, Gao, Enting, Zhang, Li, Yin, Yilong, Chen, Xinjian

    Published in Scientific reports (09-05-2016)
    “…Detection and assessment of the integrity of the photoreceptor ellipsoid zone (EZ) are important because it is critical for visual acuity in retina trauma and…”
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    Journal Article
  16. 16

    Skeleton Cuts-An Efficient Segmentation Method for Volume Rendering by Xiang, Dehui, Tian, Jie, Yang, Fei, Yang, Qi, Zhang, Xing, Li, Qingde, Liu, Xin

    “…Volume rendering has long been used as a key technique for volume data visualization, which works by using a transfer function to map color and opacity to each…”
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    Journal Article
  17. 17

    A Versatile Optical Model for Hybrid Rendering of Volume Data by Yang, Fei, Li, Qingde, Xiang, Dehui, Cao, Yong, Tian, Jie

    “…In volume rendering, most optical models currently in use are based on the assumptions that a volumetric object is a collection of particles and that the macro…”
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    Journal Article
  18. 18

    Renal cortex localization by combining 3D Generalized Hough Transform and 3D Active Appearance Models by Chao Jin, Dehui Xiang, Xinjian Chen

    “…Automatic localization is one of important steps in medical image segmentation. In this paper, a model-based method for three-dimensional image localization is…”
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    Conference Proceeding
  19. 19

    Modality-Specific Segmentation Network for Lung Tumor Segmentation in PET-CT Images by Xiang, Dehui, Zhang, Bin, Lu, Yuxuan, Deng, Shengming

    “…Lung tumor segmentation in PET-CT images plays an important role to assist physicians in clinical application to accurately diagnose and treat lung cancer…”
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    Journal Article
  20. 20

    Global and Local Feature Reconstruction for Medical Image Segmentation by Song, Jiahuan, Chen, Xinjian, Zhu, Qianlong, Shi, Fei, Xiang, Dehui, Chen, Zhongyue, Fan, Ying, Pan, Lingjiao, Zhu, Weifang

    Published in IEEE transactions on medical imaging (01-09-2022)
    “…Learning how to capture long-range dependencies and restore spatial information of down-sampled feature maps are the basis of the encoder-decoder structure…”
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    Journal Article