Tong Zheng
Orcid: 0000-0002-0554-319XAffiliations:
- Nagoya University, Graduate School of Informatics, Aichi, Japan
According to our database1,
Tong Zheng
authored at least 12 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
SGSR: style-subnets-assisted generative latent bank for large-factor super-resolution with registered medical image dataset.
Int. J. Comput. Assist. Radiol. Surg., March, 2024
2023
L-former: a lightweight transformer for realistic medical image generation and its application to super-resolution.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-mixer.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
2022
Coarse-to-fine cascade framework for cross-modality super-resolution on clinical/micro CT dataset.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
2021
Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Super-Resolution by Latent Space Exploration: Training with Poorly-Aligned Clinical and Micro CT Image Dataset.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2021
Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021
2020
Micro CT Image-Assisted Cross Modality Super-Resolution of Clinical CT Images Utilizing Synthesized Training Dataset.
CoRR, 2020
Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes.
CoRR, 2020
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
2019
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database.
CoRR, 2019