Shuo Han
Orcid: 0000-0003-2033-9004Affiliations:
- Johns Hopkins University, Baltimore, MD, USA
According to our database1,
Shuo Han
authored at least 27 papers
between 2016 and 2023.
Collaborative distances:
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Bibliography
2023
Joint synthesis of WMn MPRAGE and parameter maps using deep learning and an imaging equation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Self-Supervised Super-Resolution for Anisotropic MR Images with and Without Slice Gap.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Disentangled Representation Learning for OCTA Vessel Segmentation With Limited Training Data.
IEEE Trans. Medical Imaging, 2022
Cranial meninges reconstruction based on convolutional networks and deformable models: applications to longitudinal study of normal aging.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022
Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
2021
Medical Image Anal., 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Simulation and Synthesis in Medical Imaging, 2021
Slice Profile Estimation From 2D MRI Acquisition Using Generative Adversarial Networks.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
2020
Automatic cerebellum anatomical parcellation using U-Net with locally constrained optimization.
NeuroImage, 2020
NeuroImage, 2020
Reflection-equivariant convolutional neural networks improve segmentation over reflection augmentation.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
2019
Automatic quality control using hierarchical shape analysis for cerebellum parcellation.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images.
NeuroImage, 2018
Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018
Automatic outlier detection using hidden Markov model for cerebellar lobule segmentation.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
2016
Software Framework for Realistic MRI Simulations Using the Polyhedral Fourier Transform.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2016