Guodong Zeng
According to our database1,
Guodong Zeng
authored at least 31 papers
between 2014 and 2023.
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Bibliography
2023
GOMPS: Global Attention-based Ophthalmic Image Measurement and Postoperative Appearance Prediction System.
Expert Syst. Appl., December, 2023
2022
AGMB-Transformer: Anatomy-Guided Multi-Branch Transformer Network for Automated Evaluation of Root Canal Therapy.
IEEE J. Biomed. Health Informatics, 2022
Towards bridging the distribution gap: Instance to Prototype Earth Mover's Distance for distribution alignment.
Medical Image Anal., 2022
Int. J. Comput. Assist. Radiol. Surg., 2022
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022
2021
Anatomy-Guided Parallel Bottleneck Transformer Network for Automated Evaluation of Root Canal Therapy.
CoRR, 2021
The MICCAI Hackathon on reproducibility, diversity, and selection of papers at the MICCAI conference.
CoRR, 2021
Semantic Consistent Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
2020
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation.
CoRR, 2020
Entropy Guided Unsupervised Domain Adaptation for Cross-Center Hip Cartilage Segmentation from MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.
IEEE Trans. Medical Imaging, 2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging, 2019
Holistic decomposition convolution for effective semantic segmentation of medical volume images.
Medical Image Anal., 2019
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge.
CoRR, 2019
Hybrid Generative Adversarial Networks for Deep MR to CT Synthesis Using Unpaired Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Holistic Decomposition Convolution for Effective Semantic Segmentation of 3D MR Images.
CoRR, 2018
Deep Volumetric Shape Learning for Semantic Segmentation of the Hip Joint from 3D MR Images.
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2018
Latent3DU-net: Multi-level Latent Shape Space Constrained 3D U-net for Automatic Segmentation of the Proximal Femur from Radial MRI of the Hip.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Evaluation and Comparison of Automatic Intervertebral Disc Localization and Segmentation methods with 3D Multi-modality MR Images: A Grand Challenge.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2018
Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Multi-stream 3D FCN with multi-scale deep supervision for multi-modality isointense infant brain MR image segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Fully automatic segmentation of lumbar vertebrae from CT images using cascaded 3D fully convolutional networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Multi-scale Fully Convolutional DenseNets for Automated Skin Lesion Segmentation in Dermoscopy Images.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018
2017
Multim. Tools Appl., 2017
DSMS-FCN: A Deeply Supervised Multi-scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images.
Proceedings of the Computational Methods and Clinical Applications in Musculoskeletal Imaging, 2017
3D U-net with Multi-level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images.
Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017
2015
J. Vis. Commun. Image Represent., 2015
2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014