Pei Dong

Orcid: 0000-0002-7204-0621

According to our database1, Pei Dong authored at least 45 papers between 2010 and 2024.

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Bibliography

2024
SM-GAN: Single-Stage and Multi-object Text Guided Image Editing.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

2023
Deep learning model for measuring the sagittal Cobb angle on cervical spine computed tomography.
BMC Medical Imaging, December, 2023

Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

CorSegRec: A Topology-Preserving Scheme for Extracting Fully-Connected Coronary Arteries from CT Angiography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MMAN: Multi-Task and Multi-Scale Attention Network for Concurrently Lower Limbs Segmentation and Landmark Detection.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Coarse-Fine View Attention Alignment-Based GAN for CT Reconstruction from Biplanar X-Rays.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
HR-PrGAN: High-resolution story visualization with progressive generative adversarial networks.
Inf. Sci., 2022

Disentangled Representations and Hierarchical Refinement of Multi-Granularity Features for Text-to-Image Synthesis.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

2020
Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

Blind deblurring for microscopic pathology images using deep learning networks.
CoRR, 2020

Microscope Based HER2 Scoring System.
CoRR, 2020

Weakly-Supervised Nucleus Segmentation Based on Point Annotations: A Coarse-to-Fine Self-Stimulated Learning Strategy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Computational neuroanatomy of baby brains: A review.
NeuroImage, 2019

Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations.
Frontiers Neuroinformatics, 2019

MSDF-Net: Multi-Scale Deep Fusion Network for Stroke Lesion Segmentation.
IEEE Access, 2019

2018
Robust brain ROI segmentation by deformation regression and deformable shape model.
Medical Image Anal., 2018

Combining SLAM with muti-spectral photometric stereo for real-time dense 3D reconstruction.
CoRR, 2018

Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set Shrinkage.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Combining depth-estimation-based multi-spectral photometric stereo and SLAM for real-time dense 3D reconstruction.
Proceedings of the 4th International Conference on Communication and Information Processing, 2018

2017
Scalable joint segmentation and registration framework for infant brain images.
Neurocomputing, 2017

Efficient Groupwise Registration for Brain MRI by Fast Initialization.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

2016
Foreground Detection With Simultaneous Dictionary Learning and Historical Pixel Maintenance.
IEEE Trans. Image Process., 2016

Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2016

2015
An iteratively reweighting algorithm for dynamic video summarization.
Multim. Tools Appl., 2015

Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2015

Parallel imaging via sparse representation over a learned dictionary.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Voronoi-based analysis of bone cell network from synchrotron radiation micro-CT images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Pixel domain and compressed domain video analysis for smart information extraction.
PhD thesis, 2014

An SA-GA-BP neural network-based color correction algorithm for TCM tongue images.
Neurocomputing, 2014

2013
Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images.
IEEE Trans. Image Process., 2013

Dictionary learning based impulse noise removal via L1-L1 minimization.
Signal Process., 2013

Efficient extraction of 3D bone cells descriptors from micro-CT images.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

SGTD: Structure Gradient and Texture Decorrelating Regularization for Image Decomposition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Magnetic resonance image restoration via dictionary learning under spatially adaptive constraints.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

A new quantitative approach for estimating bone cell connections from nano-CT images.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
3D X-ray CT imaging of the bone Lacuno-Canalicular Network.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Real-Time Storyboard Generation for H.264/AVC Compressed Videos.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

2011
GA and AdaBoost-Based Feature Selection and Combination for Automated Identification of Dementia Using FDG-PET Imaging.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011

Real-time moving object segmentation and tracking for H.264/AVC surveillance videos.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Video Summarization with Visual and Semantic Features.
Proceedings of the Advances in Multimedia Information Processing - PCM 2010, 2010


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