Video Summarization with Visual and Semantic Features. - Pei Dong; Zhiyong Wang 001; Li Zhuo 001; David Dagan Feng (PCM (1), 2010)

Real-time moving object segmentation and tracking for H.264/AVC surveillance videos. - Pei Dong; Yong Xia 001; Li Zhuo 001; David Dagan Feng (ICIP, 2011)

GA and AdaBoost-Based Feature Selection and Combination for Automated Identification of Dementia Using FDG-PET Imaging. - Yong Xia 001; Zhe Zhang; Lingfeng Wen; Pei Dong; David Dagan Feng (IScIDE, 2011)

Real-Time Storyboard Generation for H.264/AVC Compressed Videos. - Pei Dong; Yong Xia 001; David Dagan Feng (ICME, 2012)

3D X-ray CT imaging of the bone Lacuno-Canalicular Network. - Françoise Peyrin; Alexandra Pacureanu; Maria Alejandra Zuluaga; Pei Dong; Max Langer (ISBI, 2012)

A new quantitative approach for estimating bone cell connections from nano-CT images. - Pei Dong; Alexandra Pacureanu; Maria A. Zuluaga; Cécile Olivier; Frédérique Frouin; Quentin Grimal; Françoise Peyrin (EMBC, 2013)

Magnetic resonance image restoration via dictionary learning under spatially adaptive constraints. - Shanshan Wang 002; Yong Xia 001; Pei Dong; David Dagan Feng; Jianhua Luo; Qiu Huang (EMBC, 2013)

SGTD: Structure Gradient and Texture Decorrelating Regularization for Image Decomposition. - Qiegen Liu; Jianbo Liu; Pei Dong; Dong Liang 001 (ICCV, 2013)

Efficient extraction of 3D bone cells descriptors from micro-CT images. - Pei Dong; Sylvain Haupert; Pierre-Jean Gouttenoire; Françoise Peyrin (ISBI, 2013)

Dictionary learning based impulse noise removal via L1-L1 minimization. - Shanshan Wang 002; Qiegen Liu; Yong Xia 001; Pei Dong; Jianhua Luo; Qiu Huang; David Dagan Feng (Signal Process., 2013)

Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images. - Shanshan Wang 002; Yong Xia 001; Qiegen Liu; Pei Dong; David Dagan Feng; Jianhua Luo (IEEE Trans. Image Process., 2013)

An SA-GA-BP neural network-based color correction algorithm for TCM tongue images. - Li Zhuo 001; Jing Zhang 023; Pei Dong; Yingdi Zhao; Bo Peng (Neurocomputing, 2014)

Pixel domain and compressed domain video analysis for smart information extraction. - Pei Dong (2014)

Voronoi-based analysis of bone cell network from synchrotron radiation micro-CT images. - Pei Dong; Sébastien Valette; Maria A. Zuluaga; Galateia J. Kazakia; Françoise Peyrin (ISBI, 2015)

Parallel imaging via sparse representation over a learned dictionary. - Shanshan Wang 002; Xi Peng 004; Pei Dong; Leslie Ying; David Dagan Feng; Dong Liang 001 (ISBI, 2015)

Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph. - Pei Dong; Yanrong Guo; Dinggang Shen; Guorong Wu 001 (Patch-MI@MICCAI, 2015)

An iteratively reweighting algorithm for dynamic video summarization. - Pei Dong; Yong Xia 001; Shanshan Wang 002; Li Zhuo 001; David Dagan Feng (Multim. Tools Appl., 2015)

Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning. - Pei Dong; Yanrong Guo; Yue Gao 002; Peipeng Liang; Yonghong Shi; Qian Wang 001; Dinggang Shen; Guorong Wu 001 (Patch-MI@MICCAI, 2016)

Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning. - Yanrong Guo; Pei Dong; Shijie Hao; Li Wang 026; Guorong Wu 001; Dinggang Shen (Patch-MI@MICCAI, 2016)

Foreground Detection With Simultaneous Dictionary Learning and Historical Pixel Maintenance. - Pei Dong; Shanshan Wang 002; Yong Xia 001; Dong Liang 001; David Dagan Feng (IEEE Trans. Image Process., 2016)

Efficient Groupwise Registration for Brain MRI by Fast Initialization. - Pei Dong; Xiaohuan Cao; Jun Zhang 018; Minjeong Kim; Guorong Wu 001; Dinggang Shen (MLMI@MICCAI, 2017)

Scalable joint segmentation and registration framework for infant brain images. - Pei Dong; Li Wang 026; Weili Lin; Dinggang Shen; Guorong Wu 001 (Neurocomputing, 2017)

Combining depth-estimation-based multi-spectral photometric stereo and SLAM for real-time dense 3D reconstruction. - Yuanhong Xu; Pei Dong; Liang Lu; Junyu Dong; Lin Qi 004 (ICCIP, 2018)

Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set Shrinkage. - Pei Dong; Xiaohuan Cao; Pew-Thian Yap; Dinggang Shen (MICCAI (1), 2018)

Combining SLAM with muti-spectral photometric stereo for real-time dense 3D reconstruction. - Yuanhong Xu; Pei Dong; Junyu Dong; Lin Qi 004 (CoRR, 2018)

Robust brain ROI segmentation by deformation regression and deformable shape model. - Zhengwang Wu; Yanrong Guo; Sang Hyun Park 004; Yaozong Gao; Pei Dong; Seong-Whan Lee; Dinggang Shen (Medical Image Anal., 2018)

MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation. - Xinfeng Liu; Hao Yang 026; Kehan Qi; Pei Dong; Qiegen Liu; Xin Liu 053; Rongpin Wang; Shanshan Wang 002 (IEEE Access, 2019)

Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations. - Sahar Ahmad; Jingfan Fan; Pei Dong; Xiaohuan Cao; Pew-Thian Yap; Dinggang Shen (Frontiers Neuroinformatics, 2019)

Computational neuroanatomy of baby brains: A review. - Gang Li 001; Li Wang 026; Pew-Thian Yap; Fan Wang 023; Zhengwang Wu; Yu Meng 003; Pei Dong; Jaeil Kim; Feng Shi 001; Islem Rekik; Weili Lin; Dinggang Shen (NeuroImage, 2019)

Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images. - Haocheng Shen; Kuan Tian; Pei Dong; Jun Zhang 018; Kezhou Yan; Shannon Che; Jianhua Yao 001; Pifu Luo; Xiao Han 011 (MICCAI (5), 2020)

Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy. - Kuan Tian; Jun Zhang 018; Haocheng Shen; Kezhou Yan; Pei Dong; Jianhua Yao 001; Shannon Che; Pifu Luo; Xiao Han 011 (MICCAI (5), 2020)

Microscope Based HER2 Scoring System. - Jun Zhang 018; Kuan Tian; Pei Dong; Haocheng Shen; Kezhou Yan; Jianhua Yao 001; Junzhou Huang; Xiao Han 011 (CoRR, 2020)

Blind deblurring for microscopic pathology images using deep learning networks. - Cheng Jiang 001; Jun Liao; Pei Dong; Zhaoxuan Ma; De Cai; Guoan Zheng; Yueping Liu; Hong Bu; Jianhua Yao 001 (CoRR, 2020)

Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning. - Pei Dong; Yanrong Guo; Yue Gao 002; Peipeng Liang; Yonghong Shi; Guorong Wu 001 (IEEE Trans. Neural Networks Learn. Syst., 2020)

D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation. - Yongjin Zhou 002; Weijian Huang; Pei Dong; Yong Xia 001; Shanshan Wang 002 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. - Yonghang Guan; Jun Zhang 018; Kuan Tian; Sen Yang 006; Pei Dong; Jinxi Xiang; Wei Yang 032; Junzhou Huang; Yuyao Zhang; Xiao Han 011 (CVPR, 2022)

Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. - Qingxia Wu; Hongna Tan; Yaping Wu; Pei Dong; Jifei Che; Zheren Li; Chenjin Lei; Dinggang Shen; Zhong Xue; Meiyun Wang (MLMI@MICCAI, 2022)

Disentangled Representations and Hierarchical Refinement of Multi-Granularity Features for Text-to-Image Synthesis. - Pei Dong; Lei Wu 002; Lei Meng 001; Xiangxu Meng (ICMR, 2022)

HR-PrGAN: High-resolution story visualization with progressive generative adversarial networks. - Pei Dong; Lei Wu 002; Lei Meng 001; Xiangxu Meng (Inf. Sci., 2022)

Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays. - Zhi Qiao; Hanqiang Ouyang; Dongheng Chu; Huishu Yuan; Xiantong Zhen; Pei Dong; Zhen Qian (BIBM, 2023)

MMAN: Multi-Task and Multi-Scale Attention Network for Concurrently Lower Limbs Segmentation and Landmark Detection. - Lulu Gai; Zhi Qiao; Lianxi Fan; Xianghong Meng; Shengru Fang; Pei Dong; Zhen Qian (ISBI, 2023)

CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography. - Yuehui Qiu; Zihan Li; Yining Wang; Pei Dong; Dijia Wu; Xinnian Yang; Qingqi Hong; Dinggang Shen (MICCAI (3), 2023)

Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis. - Qingxia Wu; Hongna Tan; Zhi Qiao; Pei Dong; Dinggang Shen; Meiyun Wang; Zhong Xue (MLMI@MICCAI (2), 2023)

Deep learning model for measuring the sagittal Cobb angle on cervical spine computed tomography. - Chunjie Wang; Ming Ni; Shuai Tian; Hanqiang Ouyang; Xiaoming Liu; Lianxi Fan; Pei Dong; Liang Jiang; Ning Lang; Huishu Yuan (BMC Medical Imaging, 2023)

Text-to-Image Generation with Multiscale Semantic Context-Aware Generative Adversarial Networks. - Pei Dong; Lei Wu 002; Lei Meng 001; Xiangxu Meng (ICIC (12), 2024)

Text-Guided Multi-region Scene Image Editing Based on Diffusion Model. - Ruichen Li; Lei Wu 002; Changshuo Wang 003; Pei Dong; Xin Li (ICIC (11), 2024)

Lesen: Label-Efficient Deep Learning for Multi-Parametric Mri-Based Visual Pathway Segmentation. - Alou Diakite; Cheng Li 008; Lei Xie 001; Yuanjing Feng; Hua Han; Pei Dong; Shanshan Wang 002 (ISBI, 2024)

Learnable Skeleton-Based Medical Landmark Estimation with Graph Sparsity and Fiedler Regularizations. - Yao Wang; Jiahao Chen; Wenjian Huang; Pei Dong; Zhen Qian (MICCAI (12), 2024)

SM-GAN: Single-Stage and Multi-object Text Guided Image Editing. - Ruichen Li; Lei Wu 002; Pei Dong; Minggang He (MMM (2), 2024)

Reconstruct Spine CT from Biplanar X-Rays via Diffusion Learning. - Zhi Qiao; Xuhui Liu; Xiaopeng Wang; Runkun Liu; Xiantong Zhen; Pei Dong; Zhen Qian (CoRR, 2024)

Text to image synthesis with multi-granularity feature aware enhancement Generative Adversarial Networks. - Pei Dong; Lei Wu 002; Ruichen Li; Xiangxu Meng; Lei Meng 001 (Comput. Vis. Image Underst., 2024)

A topology-preserving three-stage framework for fully-connected coronary artery extraction. - Yuehui Qiu; Dandan Shan; Yining Wang; Pei Dong; Dijia Wu; Xinnian Yang; Qingqi Hong; Dinggang Shen (Medical Image Anal., 2025)