Tong Zheng

Orcid: 0000-0002-0554-319X

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

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, 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, 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

COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty.
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


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