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Dehui Xiang
Deihui Xiang
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2020 – today
- 2024
- [j37]Jian Zhou, Yuqing Dai, Dongmei Liu, Weifang Zhu
, Dehui Xiang, Xinjian Chen, Fei Shi
Improving deep learning based segmentation of scars using multi-view images. Biomed. Signal Process. Control. 94: 106254 (2024) - [j36]Wenxuan Xu
Cross-Modal Consistency for Single-Modal MR Image Segmentation. IEEE Trans. Biomed. Eng. 71(9): 2557-2567 (2024) - [j35]Shichen Liao
Dual-Spatial Domain Generalization for Fundus Lesion Segmentation in Unseen Manufacturer's OCT Images. IEEE Trans. Biomed. Eng. 71(9): 2789-2799 (2024) - [j34]Lang Chen, Yun Bian, Jianbin Zeng, Qingquan Meng, Weifang Zhu
Style Consistency Unsupervised Domain Adaptation Medical Image Segmentation. IEEE Trans. Image Process. 33: 4882-4895 (2024) - [i1]Rui Jin, Derun Li, Dehui Xiang, Lei Zhang, Hailing Zhou, Fei Shi, Weifang Zhu, Jing Cai, Tao Peng, Xinjian Chen:
AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review. CoRR abs/2407.06612 (2024) - 2023
- [j33]Zhibang Zhou, Yun Bian, Shengxue Pan, Qingquan Meng, Weifang Zhu, Fei Shi
A dual branch and fine-grained enhancement network for pancreatic tumor segmentation in contrast enhanced CT images. Biomed. Signal Process. Control. 82: 104516 (2023) - [j32]Shengyong Diao, Jinzhu Su, Changqing Yang, Weifang Zhu, Dehui Xiang, Xinjian Chen, Qing Peng, Fei Shi:
Classification and segmentation of OCT images for age-related macular degeneration based on dual guidance networks. Biomed. Signal Process. Control. 84: 104810 (2023) - [j31]Ao Liu, Hui Jiang, Weiwei Cao, Wenju Cui, Dehui Xiang, Chengwei Shao, Zhaobang Liu
MLAGG-Net: Multi-level aggregation and global guidance network for pancreatic lesion segmentation in histopathological images. Biomed. Signal Process. Control. 86(Part C): 105303 (2023) - [j30]Xiao Tan
OCT2Former: A retinal OCT-angiography vessel segmentation transformer. Comput. Methods Programs Biomed. 233: 107454 (2023) - [j29]Meng Wang
Self-Guided Optimization Semi-Supervised Method for Joint Segmentation of Macular Hole and Cystoid Macular Edema in Retinal OCT Images. IEEE Trans. Biomed. Eng. 70(7): 2013-2024 (2023) - [j28]Dehui Xiang
Modality-Specific Segmentation Network for Lung Tumor Segmentation in PET-CT Images. IEEE J. Biomed. Health Informatics 27(3): 1237-1248 (2023) - [j27]Pengfei Zhang
Interactive Skin Wound Segmentation Based on Feature Augment Networks. IEEE J. Biomed. Health Informatics 27(7): 3467-3477 (2023) - [j26]Dehui Xiang
Semi-Supervised Dual Stream Segmentation Network for Fundus Lesion Segmentation. IEEE Trans. Medical Imaging 42(3): 713-725 (2023) - [c42]Ligang Fan, Yun Bian, Weifang Zhu, Fei Shi, Xinjian Chen, Chengwei Shao, Dehui Xiang:
Contrast Uncertainty Domain Alignment for Cross-Domain Pancreatic Image Segmentation. ISBI 2023: 1-5 - [c41]Hao Wu, Xinjian Chen, Weifang Zhu, Fei Shi, Dehui Xiang:
Enhanced pooling-convolution for pathological image multi-class segmentation. Digital and Computational Pathology 2023 - [c40]Zhibang Zhou, Dehui Xiang, Fei Shi, Weifang Zhu, Xinjian Chen:
Category feature reconstruction for pathological image segmentation. Digital and Computational Pathology 2023 - [c39]Shengyong Diao, Xinjian Chen, Dehui Xiang, Weifang Zhu, Yin Fan, Fei Shi:
A two-stage unsupervised domain adaptation method for OCT image segmentation. Image Processing 2023 - [c38]Chengjian Hong, Yuanyuan Peng, Weifang Zhu, Dehui Xiang, Fei Shi, Baoqing Nie, Xinjian Chen:
Segmentation of common lesions in age-related macular degeneration based on boundary attention mechanism. Image Processing 2023 - [c37]Ling Liu, Yuanyuan Peng, Dehui Xiang, Fei Shi, Xinjian Chen:
Multi-modality network based on CGAN and attention mechanism for glaucoma grading. Image Processing 2023 - [c36]Dengfeng Liu, Weifang Zhu, Xinyu Zhuang, Xiaofeng Zhang, Xinjian Chen, Fei Shi, Dehui Xiang:
IF-Net: information fusion network for meibomian gland area and atrophy area segmentation. Image Processing 2023 - [c35]Ziting Yin, Xinjian Chen, Weifang Zhu, Dehui Xiang, Qing Peng, Fei Shi:
Meta-learning-based retinal pathology classification from optical coherence tomography images. Image Processing 2023 - [c34]Xiaoyi Zhu, Dehui Xiang, Fei Shi, Weifang Zhu, Xinjian Chen:
Pancreatic CT image segmentation based on transfer learning. Image Processing 2023 - 2022
- [j25]Enting Gao, Hui Jiang, Zhibang Zhou, Changxing Yang, Muyang Chen, Weifang Zhu, Fei Shi
Automatic multi-tissue segmentation in pancreatic pathological images with selected multi-scale attention network. Comput. Biol. Medicine 151(Part): 106228 (2022) - [j24]Changqing Yang
Multi-Discriminator Adversarial Convolutional Network for Nerve Fiber Segmentation in Confocal Corneal Microscopy Images. IEEE J. Biomed. Health Informatics 26(2): 648-659 (2022) - [j23]Jiahuan Song
Global and Local Feature Reconstruction for Medical Image Segmentation. IEEE Trans. Medical Imaging 41(9): 2273-2284 (2022) - 2021
- [j22]Weiwei Cao, Jian Zheng, Dehui Xiang, Saisai Ding, Haotian Sun, Xiaodong Yang, Zhaobang Liu, Yakang Dai:
Edge and neighborhood guidance network for 2D medical image segmentation. Biomed. Signal Process. Control. 69: 102856 (2021) - [j21]Qingquan Meng, Chang Zuo, Fei Shi, Weifang Zhu, Dehui Xiang, Haoyu Chen, Xinjian Chen
Three-dimensional choroid neovascularization growth prediction from longitudinal retinal OCT images based on a hybrid model. Pattern Recognit. Lett. 146: 108-114 (2021) - [j20]Meng Wang
Semi-Supervised Capsule cGAN for Speckle Noise Reduction in Retinal OCT Images. IEEE Trans. Medical Imaging 40(4): 1168-1183 (2021) - [c33]Mulin Cai, Dehui Xiang, Shengxue Pan, Fei Shi, Weifang Zhu, Xinjian Chen
A generative adversarial framework for capillary non-perfusion regions segmentation in fundus fluorescein angiograms. Image Processing 2021 - [c32]Shengxue Pan, Dehui Xiang, Yun Bian, Jianping Lu, Hui Jiang, Jian Zheng:
Automatic pancreas segmentation in abdominal CT image with contrast enhancement block. Image Processing 2021 - [c31]Yunzhen Peng, Xinjian Chen
Keypoint matching networks for longitudinal fundus image affine registration. Image Processing 2021 - [c30]Changxing Yang, Dehui Xiang, Yun Bian, Jianping Lu, Hui Jiang, Jianming Zheng:
Gland segmentation in pancreas histopathology images based on selective multi-scale attention. Image Processing 2021 - [c29]Yanqing Ye, Xinjian Chen
Context attention-and-fusion network for multiclass retinal fluid segmentation in OCT images. Image Processing 2021 - 2020
- [j19]Lingjiao Pan
OCTRexpert: A Feature-Based 3D Registration Method for Retinal OCT Images. IEEE Trans. Image Process. 29: 3885-3897 (2020) - [j18]Shuanglang Feng
CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation. IEEE Trans. Medical Imaging 39(10): 3008-3018 (2020) - [c28]Haihong Tian, Dehui Xiang
Fully convolutional network with sparse feature-maps composition for automatic lung tumor segmentation from PET images. Image Processing 2020: 113131O - [c27]Xuena Cheng, Xinjian Chen
Group-wise attention fusion network for choroid segmentation in OCT images. Image Processing 2020: 1131332 - [c26]Changxing Yang, Haihong Tian, Dehui Xiang
Automatic lung segmentation in low-dose CT image with contrastive attention module. Image Processing 2020: 1131333 - [c25]Xiaoling Yang, Xinjian Chen
Attention-guided channel to pixel convolution network for retinal layer segmentation with choroidal neovascularization. Image Processing 2020: 1131334
2010 – 2019
- 2019
- [j17]Lichun Zhang, Dehui Xiang
OIPAV: an Integrated Software System for Ophthalmic Image Processing, Analysis, and Visualization. J. Digit. Imaging 32(1): 183-197 (2019) - [j16]Yibiao Rong
Surrogate-Assisted Retinal OCT Image Classification Based on Convolutional Neural Networks. IEEE J. Biomed. Health Informatics 23(1): 253-263 (2019) - [j15]Dehui Xiang
Automatic Retinal Layer Segmentation of OCT Images With Central Serous Retinopathy. IEEE J. Biomed. Health Informatics 23(1): 283-295 (2019) - [j14]Geng Chen, Dehui Xiang
Automatic Pathological Lung Segmentation in Low-Dose CT Image Using Eigenspace Sparse Shape Composition. IEEE Trans. Medical Imaging 38(7): 1736-1749 (2019) - [c24]Keling Fei, Kezhen Fei, Dehui Xiang
Automatic Detection of Conversion Blindness on Functional Brain Network Information. BIBM 2019: 1474-1480 - [c23]Haihong Tian, Geng Chen, Dehui Xiang
Simultaneous and automatic two surface detection of renal cortex in 3D CT images by enhanced sparse shape composition. Image Processing 2019: 109492D - [c22]Geng Chen, Dehui Xiang
Active shape dictionary for automatic segmentation of pathological lung in low-dose CT image. Image Processing 2019: 1094926 - 2018
- [j13]Dehui Xiang
Automatic Segmentation of Retinal Layer in OCT Images With Choroidal Neovascularization. IEEE Trans. Image Process. 27(12): 5880-5891 (2018) - [c21]Li Li, Dehui Xiang
Evaluation of chemotherapeutic response of temozolomide in orthotopic glioma using bioluminescence tomography. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105780Y - [c20]Bolan Yang, Dehui Xiang
Lung tumor segmentation based on multi-scale template matching and region growing. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105782Q - [c19]HaoXuan Ni, Jinzuo Ye, Dehui Xiang, Yang Du, Xinjian Chen
A fast reconstruction algorithm for fluorescence molecular tomography via multipath subspace pursuit method. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057810 - [c18]HaoXuan Ni, Jinzuo Ye, Dehui Xiang, Yang Du, Xinjian Chen
A fast reconstruction algorithm for fluorescence molecular tomography via multipath subspace pursuit method. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057810 - [c17]Yibiao Rong, Kai Yu, Dehui Xiang
Explaining Convolutional Neural Networks for Area Estimation of Choroidal Neovascularization via Genetic Programming. COMPAY/OMIA@MICCAI 2018: 210-218 - 2017
- [j12]Dehui Xiang
CorteXpert: A model-based method for automatic renal cortex segmentation. Medical Image Anal. 42: 257-273 (2017) - [j11]Jingyun Guo
A Framework for Classification and Segmentation of Branch Retinal Artery Occlusion in SD-OCT. IEEE Trans. Image Process. 26(7): 3518-3527 (2017) - [j10]Ivica Kopriva
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 21(6): 1656-1666 (2017) - [j9]Shuxia Zhu
Choroid Neovascularization Growth Prediction With Treatment Based on Reaction-Diffusion Model in 3-D OCT Images. IEEE J. Biomed. Health Informatics 21(6): 1667-1674 (2017) - [c16]Dehui Xiang
Automatic Retinal Layer Segmentation Based on Live Wire for Central Serous Retinopathy. FIFI/OMIA@MICCAI 2017: 118-125 - [c15]Qiangding Wei, Fei Shi, Weifang Zhu, Dehui Xiang
Nonrigid registration of 3D longitudinal optical coherence tomography volumes with choroidal neovascularization. Image Processing 2017: 101330X - 2016
- [j8]Wei Ju, Dehui Xiang
Correction to "Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images". IEEE Trans. Image Process. 25(3): 1192 (2016) - [j7]Chao Jin, Fei Shi, Dehui Xiang
3D Fast Automatic Segmentation of Kidney Based on Modified AAM and Random Forest. IEEE Trans. Medical Imaging 35(6): 1395-1407 (2016) - [c14]Dehui Xiang
Liver recognition based on statistical shape model in CT images. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97881O - [c13]Shuxia Zhu, Xinjian Chen
3D choroid neovascularization growth prediction based on reaction-diffusion model. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 978807 - [c12]Jianjun Fei, Weifang Zhu, Fei Shi, Dehui Xiang
Automatic choroid cells segmentation and counting in fluorescence microscopic image. Digital Pathology 2016: 97911B - [c11]Xueqing Jiang, Dehui Xiang
Automatic co-segmentation of lung tumor based on random forest in PET-CT images. Image Processing 2016: 97842W - [c10]Kai Yu, Xinjian Chen
A novel 3D graph cut based co-segmentation of lung tumor on PET-CT images with Gaussian mixture models. Image Processing 2016: 97842V - 2015
- [j6]Guodong Li, Xinjian Chen
Automatic Liver Segmentation Based on Shape Constraints and Deformable Graph Cut in CT Images. IEEE Trans. Image Process. 24(12): 5315-5329 (2015) - [j5]Wei Ju, Deihui Xiang
Random Walk and Graph Cut for Co-Segmentation of Lung Tumor on PET-CT Images. IEEE Trans. Image Process. 24(12): 5854-5867 (2015) - [j4]Fei Shi, Xinjian Chen
Automated 3-D Retinal Layer Segmentation of Macular Optical Coherence Tomography Images With Serous Pigment Epithelial Detachments. IEEE Trans. Medical Imaging 34(2): 441-452 (2015) - [c9]Wei Ju, Dehui Xiang
Graph cut based co-segmentation of lung tumor in PET-CT images. Image Processing 2015: 94133K - [c8]Zhuli Sun, Fei Shi, Dehui Xiang
Automated segmentation of serous pigment epithelium detachment in SD-OCT images. Image Processing 2015: 94133Q - 2014
- [c7]Chao Jin, Dehui Xiang
Renal cortex localization by combining 3D Generalized Hough Transform and 3D Active Appearance Models. ISBI 2014: 1275-1278 - [c6]Liyun Wang, Weifang Zhu, Jianping Liao, Dehui Xiang
Support vector machine based IS/OS disruption detection from SD-OCT images. Image Processing 2014: 90341U - 2013
- [j3]Jian Zheng
Retinal Image Graph-Cut Segmentation Algorithm Using Multiscale Hessian-Enhancement-Based Nonlocal Mean Filter. Comput. Math. Methods Medicine 2013: 927285:1-927285:7 (2013) - [c5]Dehui Xiang
Fast Renal Cortex Localization by Combining Generalized Hough Transform and Active Appearance Models. Abdominal Imaging 2013: 175-183 - [c4]Guodong Li, Dehui Xiang, Fei Yang, Xiaonan Wan, Xin Yang, Jie Tian:
Automatic detection of retinal vascular bifurcations and crossovers based on isotropy and anisotropy. Image Processing 2013: 86691T - 2012
- [j2]Fei Yang, Qingde Li, Dehui Xiang, Yong Cao, Jie Tian:
A Versatile Optical Model for Hybrid Rendering of Volume Data. IEEE Trans. Vis. Comput. Graph. 18(6): 925-937 (2012) - 2011
- [j1]Dehui Xiang, Jie Tian, Fei Yang, Qi Yang
Skeleton Cuts - An Efficient Segmentation Method for Volume Rendering. IEEE Trans. Vis. Comput. Graph. 17(9): 1295-1306 (2011) - [c3]Dehui Xiang, Jie Tian, Kexin Deng, Xing Zhang, Fei Yang, Xiaonan Wan:
Retinal vessel extraction by combining radial symmetry transform and iterated graph cuts. EMBC 2011: 3950-3953 - [c2]Xing Zhang, Jie Tian, Dehui Xiang, Xiuli Li, Kexin Deng:
Interactive liver tumor segmentation from ct scans using support vector classification with watershed. EMBC 2011: 6005-6008 - 2010
- [c1]Xing Zhang, Jie Tian, Dehui Xiang, Yongfang Wu:
Interactive segmentation method with graph cut and SVMs. Image Processing 2010: 76234M
Coauthor Index
[j37] [j36] [j35] [j34] [i1] [j33] [j32] [j30] [j29] [j27] [j26] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [j25] [j24] [j23] [j21] [j20] [c33] [c31] [c29] [j19] [j18] [c28] [c27] [c26] [c25] [j17] [j16] [j15] [j14] [c23] [c22] [j13] [c21] [c20] [c19] [c18] [c17] [j12] [j11] [j10] [j9] [c16] [c15] [j8] [j7] [c14] [c13] [c12] [c11] [c10] [j6] [j5] [j4] [c9] [c8] [c7] [c6] [c5]
[j37] [j36] [j35] [j34] [i1] [j33] [j32] [j30] [j29] [j27] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [j25] [j24] [j23] [j21] [j20] [c33] [c29] [j19] [j18] [c28] [c27] [c26] [j17] [j16] [j15] [j14] [c22] [j13] [j12] [j11] [j10] [j9] [c16] [c15] [j7] [c14] [c13] [c12] [c11] [c10] [j6] [j4] [c8]
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last updated on 2024-12-08 01:24 CET by the dblp team
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