Yonghong Shi
Orcid: 0000-0002-2268-2087
According to our database1,
Yonghong Shi
authored at least 30 papers
between 2004 and 2025.
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Bibliography
2025
FANCL: Feature-guided attention network with curriculum learning for brain metastases segmentation.
Neurocomputing, 2025
VesselMamba: 3D vessel segmentation in CTA images using Mamba with enhanced Spatial-Channel Attention.
Biomed. Signal Process. Control., 2025
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
CoRR, 2024
CoRR, 2024
Dual Bidirectional Copy-Paste with Shape Constraint for Semi-Supervised Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation.
CoRR, 2023
2022
Vertebrae Labeling via End-to-End Integral Regression Localization and Multi-Label Classification Network.
IEEE Trans. Neural Networks Learn. Syst., 2022
2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
2d-3d Hierarchical Feature Fusion Network For Segmentation Of Bone Structure In Knee Mr Image.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Multi-Atlas Segmentation of Anatomical Brain Structures Using Hierarchical Hypergraph Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020
Anatomical Skull-Stripping Template and Improved Boundary-Oriented Quantitative Segmentation Evaluation Metrics.
J. Medical Imaging Health Informatics, 2020
Segmentation of Gliomas Based on a Double-Pathway Residual Convolution Neural Network Using Multi-Modality Information.
J. Medical Imaging Health Informatics, 2020
Residual Block-based Multi-Label Classification and Localization Network with Integral Regression for Vertebrae Labeling.
CoRR, 2020
2017
Pattern Recognit., 2017
Int. J. Comput. Assist. Radiol. Surg., 2017
2016
miLBP: a robust and fast modality-independent 3D LBP for multimodal deformable registration.
Int. J. Comput. Assist. Radiol. Surg., 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
Predict brain MR image registration via sparse learning of appearance and transformation.
Medical Image Anal., 2015
2014
Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning.
IEEE Trans. Medical Imaging, 2014
2012
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
2011
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
2008
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population-Based and Patient-Specific Shape Statistics.
IEEE Trans. Medical Imaging, 2008
The Research on the Intelligent Controller Based on Elastic-Integral Algorithm and Application on the Water-Level System.
Proceedings of the PACIIA 2008, 2008
Hierarchical Shape Statistical Model for Segmentation of Lung Fields in Chest Radiographs.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008
Learning Longitudinal Deformations for Adaptive Segmentation of Lung Fields from Serial Chest Radiographs.
Proceedings of the Medical Imaging and Augmented Reality, 4th International Workshop, 2008
2006
Segmenting Lung Fields in Serial Chest Radiographs Using Both Population and Patient-Specific Shape Statistics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
2004
Proceedings of the Computational and Information Science, First International Symposium, 2004
Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004