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Pei Dong
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2020 – today
- 2024
- [j15]Pei Dong, Lei Wu, Ruichen Li, Xiangxu Meng, Lei Meng:
Text to image synthesis with multi-granularity feature aware enhancement Generative Adversarial Networks. Comput. Vis. Image Underst. 245: 104042 (2024) - [c31]Pei Dong, Lei Wu, Lei Meng, Xiangxu Meng:
Text-to-Image Generation with Multiscale Semantic Context-Aware Generative Adversarial Networks. ICIC (12) 2024: 192-203 - [c30]Ruichen Li, Lei Wu, Changshuo Wang, Pei Dong, Xin Li:
Text-Guided Multi-region Scene Image Editing Based on Diffusion Model. ICIC (11) 2024: 229-240 - [c29]Alou Diakite, Cheng Li, Lei Xie, Yuanjing Feng, Hua Han, Pei Dong, Shanshan Wang:
Lesen: Label-Efficient Deep Learning for Multi-Parametric Mri-Based Visual Pathway Segmentation. ISBI 2024: 1-5 - [c28]Yao Wang, Jiahao Chen, Wenjian Huang, Pei Dong, Zhen Qian:
Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations. MICCAI (12) 2024: 599-609 - [c27]Ruichen Li, Lei Wu, Pei Dong, Minggang He:
SM-GAN: Single-Stage and Multi-object Text Guided Image Editing. MMM (2) 2024: 213-226 - [i6]Zhi Qiao, Xuhui Liu, Xiaopeng Wang, Runkun Liu, Xiantong Zhen, Pei Dong, Zhen Qian:
Reconstruct Spine CT from Biplanar X-Rays via Diffusion Learning. CoRR abs/2408.09731 (2024) - [i5]Zhi Qiao, Hanqiang Ouyang, Dongheng Chu, Huishu Yuan, Xiantong Zhen, Pei Dong, Zhen Qian:
Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays. CoRR abs/2408.09736 (2024) - 2023
- [j14]Chunjie Wang, Ming Ni, Shuai Tian, Hanqiang Ouyang, Xiaoming Liu, Lianxi Fan, Pei Dong, Liang Jiang, Ning Lang, Huishu Yuan:
Deep learning model for measuring the sagittal Cobb angle on cervical spine computed tomography. BMC Medical Imaging 23(1): 196 (2023) - [c26]Zhi Qiao, Hanqiang Ouyang, Dongheng Chu, Huishu Yuan, Xiantong Zhen, Pei Dong, Zhen Qian:
Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays. BIBM 2023: 2175-2178 - [c25]Lulu Gai, Zhi Qiao, Lianxi Fan, Xianghong Meng, Shengru Fang, Pei Dong, Zhen Qian:
MMAN: Multi-Task and Multi-Scale Attention Network for Concurrently Lower Limbs Segmentation and Landmark Detection. ISBI 2023: 1-5 - [c24]Yuehui Qiu, Zihan Li, Yining Wang, Pei Dong, Dijia Wu, Xinnian Yang, Qingqi Hong, Dinggang Shen:
CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography. MICCAI (3) 2023: 670-680 - [c23]Qingxia Wu, Hongna Tan, Zhi Qiao, Pei Dong, Dinggang Shen, Meiyun Wang, Zhong Xue:
Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis. MLMI@MICCAI (2) 2023: 74-83 - 2022
- [j13]Pei Dong, Lei Wu, Lei Meng, Xiangxu Meng:
HR-PrGAN: High-resolution story visualization with progressive generative adversarial networks. Inf. Sci. 614: 548-562 (2022) - [c22]Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han:
Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. CVPR 2022: 18791-18801 - [c21]Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue, Meiyun Wang:
Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. MLMI@MICCAI 2022: 131-139 - [c20]Pei Dong, Lei Wu, Lei Meng, Xiangxu Meng:
Disentangled Representations and Hierarchical Refinement of Multi-Granularity Features for Text-to-Image Synthesis. ICMR 2022: 268-276 - 2021
- [j12]Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang:
D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 940-950 (2021) - 2020
- [j11]Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Guorong Wu:
Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3061-3072 (2020) - [c19]Kuan Tian, Jun Zhang, Haocheng Shen, Kezhou Yan, Pei Dong, Jianhua Yao, Shannon Che, Pifu Luo, Xiao Han:
Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy. MICCAI (5) 2020: 299-308 - [c18]Haocheng Shen, Kuan Tian, Pei Dong, Jun Zhang, Kezhou Yan, Shannon Che, Jianhua Yao, Pifu Luo, Xiao Han:
Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images. MICCAI (5) 2020: 509-518 - [i4]Jun Zhang, Kuan Tian, Pei Dong, Haocheng Shen, Kezhou Yan, Jianhua Yao, Junzhou Huang, Xiao Han:
Microscope Based HER2 Scoring System. CoRR abs/2009.06816 (2020) - [i3]Cheng Jiang, Jun Liao, Pei Dong, Zhaoxuan Ma, De Cai, Guoan Zheng, Yueping Liu, Hong Bu, Jianhua Yao:
Blind deblurring for microscopic pathology images using deep learning networks. CoRR abs/2011.11879 (2020)
2010 – 2019
- 2019
- [j10]Xinfeng Liu, Hao Yang, Kehan Qi, Pei Dong, Qiegen Liu, Xin Liu, Rongpin Wang, Shanshan Wang:
MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation. IEEE Access 7: 178486-178495 (2019) - [j9]Sahar Ahmad, Jingfan Fan, Pei Dong, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen:
Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations. Frontiers Neuroinformatics 13: 34 (2019) - [j8]Gang Li, Li Wang, Pew-Thian Yap, Fan Wang, Zhengwang Wu, Yu Meng, Pei Dong, Jaeil Kim, Feng Shi, Islem Rekik, Weili Lin, Dinggang Shen:
Computational neuroanatomy of baby brains: A review. NeuroImage 185: 906-925 (2019) - [i2]Yongjin Zhou, Weijian Huang, Pei Dong, Yong Xia, Shanshan Wang:
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentation. CoRR abs/1908.05104 (2019) - 2018
- [j7]Zhengwang Wu, Yanrong Guo, Sang Hyun Park, Yaozong Gao, Pei Dong, Seong-Whan Lee, Dinggang Shen:
Robust brain ROI segmentation by deformation regression and deformable shape model. Medical Image Anal. 43: 198-213 (2018) - [c17]Yuanhong Xu, Pei Dong, Liang Lu, Junyu Dong, Lin Qi:
Combining depth-estimation-based multi-spectral photometric stereo and SLAM for real-time dense 3D reconstruction. ICCIP 2018: 81-85 - [c16]Pei Dong, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen:
Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set Shrinkage. MICCAI (1) 2018: 819-826 - [i1]Yuanhong Xu, Pei Dong, Junyu Dong, Lin Qi:
Combining SLAM with muti-spectral photometric stereo for real-time dense 3D reconstruction. CoRR abs/1807.02294 (2018) - 2017
- [j6]Pei Dong, Li Wang, Weili Lin, Dinggang Shen, Guorong Wu:
Scalable joint segmentation and registration framework for infant brain images. Neurocomputing 229: 54-62 (2017) - [c15]Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen:
Efficient Groupwise Registration for Brain MRI by Fast Initialization. MLMI@MICCAI 2017: 150-158 - 2016
- [j5]Pei Dong, Shanshan Wang, Yong Xia, Dong Liang, David Dagan Feng:
Foreground Detection With Simultaneous Dictionary Learning and Historical Pixel Maintenance. IEEE Trans. Image Process. 25(11): 5035-5049 (2016) - [c14]Yanrong Guo, Pei Dong, Shijie Hao, Li Wang, Guorong Wu, Dinggang Shen:
Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning. Patch-MI@MICCAI 2016: 1-8 - [c13]Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu:
Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning. Patch-MI@MICCAI 2016: 51-59 - 2015
- [j4]Pei Dong, Yong Xia, Shanshan Wang, Li Zhuo, David Dagan Feng:
An iteratively reweighting algorithm for dynamic video summarization. Multim. Tools Appl. 74(21): 9449-9473 (2015) - [c12]Shanshan Wang, Xi Peng, Pei Dong, Leslie Ying, David Dagan Feng, Dong Liang:
Parallel imaging via sparse representation over a learned dictionary. ISBI 2015: 687-690 - [c11]Pei Dong, Sébastien Valette, Maria A. Zuluaga, Galateia J. Kazakia, Françoise Peyrin:
Voronoi-based analysis of bone cell network from synchrotron radiation micro-CT images. ISBI 2015: 1522-1525 - [c10]Pei Dong, Yanrong Guo, Dinggang Shen, Guorong Wu:
Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph. Patch-MI@MICCAI 2015: 188-196 - 2014
- [b1]Pei Dong:
Pixel domain and compressed domain video analysis for smart information extraction. University of Sydney, Australia, 2014 - [j3]Li Zhuo, Jing Zhang, Pei Dong, Yingdi Zhao, Bo Peng:
An SA-GA-BP neural network-based color correction algorithm for TCM tongue images. Neurocomputing 134: 111-116 (2014) - 2013
- [j2]Shanshan Wang, Qiegen Liu, Yong Xia, Pei Dong, Jianhua Luo, Qiu Huang, David Dagan Feng:
Dictionary learning based impulse noise removal via L1-L1 minimization. Signal Process. 93(9): 2696-2708 (2013) - [j1]Shanshan Wang, Yong Xia, Qiegen Liu, Pei Dong, David Dagan Feng, Jianhua Luo:
Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images. IEEE Trans. Image Process. 22(12): 5214-5225 (2013) - [c9]Pei Dong, Alexandra Pacureanu, Maria A. Zuluaga, Cécile Olivier, Frédérique Frouin, Quentin Grimal, Françoise Peyrin:
A new quantitative approach for estimating bone cell connections from nano-CT images. EMBC 2013: 3694-3697 - [c8]Shanshan Wang, Yong Xia, Pei Dong, David Dagan Feng, Jianhua Luo, Qiu Huang:
Magnetic resonance image restoration via dictionary learning under spatially adaptive constraints. EMBC 2013: 4030-4033 - [c7]Qiegen Liu, Jianbo Liu, Pei Dong, Dong Liang:
SGTD: Structure Gradient and Texture Decorrelating Regularization for Image Decomposition. ICCV 2013: 1081-1088 - [c6]Pei Dong, Sylvain Haupert, Pierre-Jean Gouttenoire, Françoise Peyrin:
Efficient extraction of 3D bone cells descriptors from micro-CT images. ISBI 2013: 1492-1495 - 2012
- [c5]Pei Dong, Yong Xia, David Dagan Feng:
Real-Time Storyboard Generation for H.264/AVC Compressed Videos. ICME 2012: 544-549 - [c4]Françoise Peyrin, Alexandra Pacureanu, Maria Alejandra Zuluaga, Pei Dong, Max Langer:
3D X-ray CT imaging of the bone Lacuno-Canalicular Network. ISBI 2012: 1788-1791 - 2011
- [c3]Pei Dong, Yong Xia, Li Zhuo, David Dagan Feng:
Real-time moving object segmentation and tracking for H.264/AVC surveillance videos. ICIP 2011: 2309-2312 - [c2]Yong Xia, Zhe Zhang, Lingfeng Wen, Pei Dong, David Dagan Feng:
GA and AdaBoost-Based Feature Selection and Combination for Automated Identification of Dementia Using FDG-PET Imaging. IScIDE 2011: 128-135 - 2010
- [c1]Pei Dong, Zhiyong Wang, Li Zhuo, David Dagan Feng:
Video Summarization with Visual and Semantic Features. PCM (1) 2010: 203-214
Coauthor Index
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last updated on 2024-10-31 20:16 CET by the dblp team
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