Search Results - "Xiang, Dehui"
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1
Speckle noise reduction in optical coherence tomography images based on edge-sensitive cGAN
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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2
Automatic Liver Segmentation Based on Shape Constraints and Deformable Graph Cut in CT Images
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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3
Automated 3-D Retinal Layer Segmentation of Macular Optical Coherence Tomography Images With Serous Pigment Epithelial Detachments
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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4
Automatic Segmentation of Retinal Layer in OCT Images With Choroidal Neovascularization
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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5
Editorial: Imaging in the Visual System Disorders
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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6
Association between renal surface nodularity and increased adverse vascular event risk in patients with arterial hypertension
Published in Clinical and experimental hypertension (1993) (31-12-2023)“…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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7
3D Fast Automatic Segmentation of Kidney Based on Modified AAM and Random Forest
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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8
A Framework for Classification and Segmentation of Branch Retinal Artery Occlusion in SD-OCT
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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9
Choroid Neovascularization Growth Prediction With Treatment Based on Reaction-Diffusion Model in 3-D OCT Images
Published in IEEE journal of biomedical and health informatics (01-11-2017)“…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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10
Association between Quantitative Classification of Renal Surface Nodularity and Early Renal Injury in Patients with Arterial Hypertension
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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11
Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images
Published in IEEE journal of biomedical and health informatics (01-11-2017)“…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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12
Comparison of Retinal Thickness Measurements between the Topcon Algorithm and a Graph-Based Algorithm in Normal and Glaucoma Eyes
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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13
A flattest constrained envelope approach for empirical mode decomposition
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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14
Profile and Determinants of Retinal Optical Intensity in Normal Eyes with Spectral Domain Optical Coherence Tomography
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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15
Automatic Three-dimensional Detection of Photoreceptor Ellipsoid Zone Disruption Caused by Trauma in the OCT
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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16
Skeleton Cuts-An Efficient Segmentation Method for Volume Rendering
Published in IEEE transactions on visualization and computer graphics (01-09-2011)“…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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17
A Versatile Optical Model for Hybrid Rendering of Volume Data
Published in IEEE transactions on visualization and computer graphics (01-06-2012)“…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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18
Renal cortex localization by combining 3D Generalized Hough Transform and 3D Active Appearance Models
Published in 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) (01-04-2014)“…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 -
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Modality-Specific Segmentation Network for Lung Tumor Segmentation in PET-CT Images
Published in IEEE journal of biomedical and health informatics (01-03-2023)“…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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20
Global and Local Feature Reconstruction for Medical Image Segmentation
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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