Dehui Xiang

Orcid: 0000-0001-7873-9778

According to our database1, Dehui Xiang authored at least 78 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Cross-Modal Consistency for Single-Modal MR Image Segmentation.
IEEE Trans. Biomed. Eng., September, 2024

Dual-Spatial Domain Generalization for Fundus Lesion Segmentation in Unseen Manufacturer's OCT Images.
IEEE Trans. Biomed. Eng., September, 2024

Style Consistency Unsupervised Domain Adaptation Medical Image Segmentation.
IEEE Trans. Image Process., 2024

AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review.
CoRR, 2024

Improving deep learning based segmentation of scars using multi-view images.
Biomed. Signal Process. Control., 2024

2023
MLAGG-Net: Multi-level aggregation and global guidance network for pancreatic lesion segmentation in histopathological images.
Biomed. Signal Process. Control., September, 2023

Interactive Skin Wound Segmentation Based on Feature Augment Networks.
IEEE J. Biomed. Health Informatics, July, 2023

Self-Guided Optimization Semi-Supervised Method for Joint Segmentation of Macular Hole and Cystoid Macular Edema in Retinal OCT Images.
IEEE Trans. Biomed. Eng., July, 2023

Classification and segmentation of OCT images for age-related macular degeneration based on dual guidance networks.
Biomed. Signal Process. Control., July, 2023

OCT<sup>2</sup>Former: A retinal OCT-angiography vessel segmentation transformer.
Comput. Methods Programs Biomed., May, 2023

A dual branch and fine-grained enhancement network for pancreatic tumor segmentation in contrast enhanced CT images.
Biomed. Signal Process. Control., April, 2023

Semi-Supervised Dual Stream Segmentation Network for Fundus Lesion Segmentation.
IEEE Trans. Medical Imaging, March, 2023

Modality-Specific Segmentation Network for Lung Tumor Segmentation in PET-CT Images.
IEEE J. Biomed. Health Informatics, March, 2023

Pancreatic CT image segmentation based on transfer learning.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Meta-learning-based retinal pathology classification from optical coherence tomography images.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

IF-Net: information fusion network for meibomian gland area and atrophy area segmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Multi-modality network based on CGAN and attention mechanism for glaucoma grading.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Segmentation of common lesions in age-related macular degeneration based on boundary attention mechanism.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

A two-stage unsupervised domain adaptation method for OCT image segmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Contrast Uncertainty Domain Alignment for Cross-Domain Pancreatic Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Global and Local Feature Reconstruction for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Multi-Discriminator Adversarial Convolutional Network for Nerve Fiber Segmentation in Confocal Corneal Microscopy Images.
IEEE J. Biomed. Health Informatics, 2022

Automatic multi-tissue segmentation in pancreatic pathological images with selected multi-scale attention network.
Comput. Biol. Medicine, 2022

2021
Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal OCT Images.
IEEE Trans. Medical Imaging, 2021

Three-dimensional choroid neovascularization growth prediction from longitudinal retinal OCT images based on a hybrid model.
Pattern Recognit. Lett., 2021

Edge and neighborhood guidance network for 2D medical image segmentation.
Biomed. Signal Process. Control., 2021

Context attention-and-fusion network for multiclass retinal fluid segmentation in OCT images.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Gland segmentation in pancreas histopathology images based on selective multi-scale attention.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Keypoint matching networks for longitudinal fundus image affine registration.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Automatic pancreas segmentation in abdominal CT image with contrast enhancement block.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

A generative adversarial framework for capillary non-perfusion regions segmentation in fundus fluorescein angiograms.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2020
CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2020

OCTRexpert: A Feature-Based 3D Registration Method for Retinal OCT Images.
IEEE Trans. Image Process., 2020

Automatic lung segmentation in low-dose CT image with contrastive attention module.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Attention-guided channel to pixel convolution network for retinal layer segmentation with choroidal neovascularization.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Fully convolutional network with sparse feature-maps composition for automatic lung tumor segmentation from PET images.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Group-wise attention fusion network for choroid segmentation in OCT images.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

2019
Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition.
IEEE Trans. Medical Imaging, 2019

Automatic Retinal Layer Segmentation of OCT Images With Central Serous Retinopathy.
IEEE J. Biomed. Health Informatics, 2019

Surrogate-Assisted Retinal OCT Image Classification Based on Convolutional Neural Networks.
IEEE J. Biomed. Health Informatics, 2019

OIPAV: an Integrated Software System for Ophthalmic Image Processing, Analysis, and Visualization.
J. Digit. Imaging, 2019

Simultaneous and automatic two surface detection of renal cortex in 3D CT images by enhanced sparse shape composition.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Active shape dictionary for automatic segmentation of pathological lung in low-dose CT image.
Proceedings of the Medical Imaging 2019: Image Processing, 2019

Automatic Detection of Conversion Blindness on Functional Brain Network Information.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Automatic Segmentation of Retinal Layer in OCT Images With Choroidal Neovascularization.
IEEE Trans. Image Process., 2018

Explaining Convolutional Neural Networks for Area Estimation of Choroidal Neovascularization via Genetic Programming.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

Lung tumor segmentation based on multi-scale template matching and region growing.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

A fast reconstruction algorithm for fluorescence molecular tomography via multipath subspace pursuit method.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

A fast reconstruction algorithm for fluorescence molecular tomography via multipath subspace pursuit method.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Evaluation of chemotherapeutic response of temozolomide in orthotopic glioma using bioluminescence tomography.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

2017
Choroid Neovascularization Growth Prediction With Treatment Based on Reaction-Diffusion Model in 3-D OCT Images.
IEEE J. Biomed. Health Informatics, 2017

Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images.
IEEE J. Biomed. Health Informatics, 2017

A Framework for Classification and Segmentation of Branch Retinal Artery Occlusion in SD-OCT.
IEEE Trans. Image Process., 2017

CorteXpert: A model-based method for automatic renal cortex segmentation.
Medical Image Anal., 2017

Nonrigid registration of 3D longitudinal optical coherence tomography volumes with choroidal neovascularization.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Automatic Retinal Layer Segmentation Based on Live Wire for Central Serous Retinopathy.
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

2016
3D Fast Automatic Segmentation of Kidney Based on Modified AAM and Random Forest.
IEEE Trans. Medical Imaging, 2016

Correction to "Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images".
IEEE Trans. Image Process., 2016

A novel 3D graph cut based co-segmentation of lung tumor on PET-CT images with Gaussian mixture models.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Automatic co-segmentation of lung tumor based on random forest in PET-CT images.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Automatic choroid cells segmentation and counting in fluorescence microscopic image.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

3D choroid neovascularization growth prediction based on reaction-diffusion model.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

Liver recognition based on statistical shape model in CT images.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

2015
Automated 3-D Retinal Layer Segmentation of Macular Optical Coherence Tomography Images With Serous Pigment Epithelial Detachments.
IEEE Trans. Medical Imaging, 2015

Automatic Liver Segmentation Based on Shape Constraints and Deformable Graph Cut in CT Images.
IEEE Trans. Image Process., 2015

Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images.
IEEE Trans. Image Process., 2015

Automated segmentation of serous pigment epithelium detachment in SD-OCT images.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

Graph cut based co-segmentation of lung tumor in PET-CT images.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014
Support vector machine based IS/OS disruption detection from SD-OCT images.
Proceedings of the Medical Imaging 2014: Image Processing, 2014

Renal cortex localization by combining 3D Generalized Hough Transform and 3D Active Appearance Models.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Retinal Image Graph-Cut Segmentation Algorithm Using Multiscale Hessian-Enhancement-Based Nonlocal Mean Filter.
Comput. Math. Methods Medicine, 2013

Automatic detection of retinal vascular bifurcations and crossovers based on isotropy and anisotropy.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

Fast Renal Cortex Localization by Combining Generalized Hough Transform and Active Appearance Models.
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013

2012
A Versatile Optical Model for Hybrid Rendering of Volume Data.
IEEE Trans. Vis. Comput. Graph., 2012

2011
Skeleton Cuts - An Efficient Segmentation Method for Volume Rendering.
IEEE Trans. Vis. Comput. Graph., 2011

Interactive liver tumor segmentation from ct scans using support vector classification with watershed.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Retinal vessel extraction by combining radial symmetry transform and iterated graph cuts.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Interactive segmentation method with graph cut and SVMs.
Proceedings of the Medical Imaging 2010: Image Processing, 2010


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