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Tong Zheng 0001
Person information
- affiliation: Nagoya University, Graduate School of Informatics, Aichi, Japan
Other persons with the same name
- Tong Zheng — disambiguation page
- Tong Zheng 0002 — Concordia University, Department of Electrical and Computer Engineering, Montreal, Canada
- Tong Zheng 0003
— Wuhan University, Electronic Information School, Wuhan, China
- Tong Zheng 0004
- Tong Zheng 0005
- Tong Zheng 0006 — University of Alberta, Department of Computing Science, Edmonton, Canada
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2020 – today
- 2024
- [j1]Tong Zheng
SGSR: style-subnets-assisted generative latent bank for large-factor super-resolution with registered medical image dataset. Int. J. Comput. Assist. Radiol. Surg. 19(3): 493-506 (2024) - 2023
- [c8]Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori:
Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-mixer. Medical Imaging: Computer-Aided Diagnosis 2023 - [c7]Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura
L-former: a lightweight transformer for realistic medical image generation and its application to super-resolution. Medical Imaging: Image Processing 2023 - 2022
- [c6]Masahiro Oda
Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes. Medical Imaging: Computer-Aided Diagnosis 2022 - [c5]Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura
Coarse-to-fine cascade framework for cross-modality super-resolution on clinical/micro CT dataset. Medical Imaging: Image Processing 2022 - [i4]Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Yoshito Otake, Masahiro Hashimoto, Toshiaki Akashi, Shigeki Aoki, Kensaku Mori:
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty. CoRR abs/2201.03053 (2022) - 2021
- [c4]Masahiro Oda
COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty. CLIP/DCL/LL-COVID19/PPML@MICCAI 2021: 88-97 - [c3]Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura
Super-Resolution by Latent Space Exploration: Training with Poorly-Aligned Clinical and Micro CT Image Dataset. SASHIMI@MICCAI 2021: 24-33 - [c2]Tong Zheng, Masahiro Oda
Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning. Medical Imaging: Image Processing 2021 - 2020
- [c1]Tong Zheng, Hirohisa Oda, Takayasu Moriya, Takaaki Sugino, Shota Nakamura
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database. Medical Imaging: Image Processing 2020: 1131305 - [i3]Tong Zheng, Hirohisa Oda, Takayasu Moriya, Takaaki Sugino, Shota Nakamura, Masahiro Oda, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori:
Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes. CoRR abs/2004.03272 (2020) - [i2]Tong Zheng, Hirohisa Oda, Masahiro Oda, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori:
Micro CT Image-Assisted Cross Modality Super-Resolution of Clinical CT Images Utilizing Synthesized Training Dataset. CoRR abs/2010.10207 (2020)
2010 – 2019
- 2019
- [i1]Tong Zheng, Hirohisa Oda, Takayasu Moriya, Shota Nakamura, Masahiro Oda, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Kensaku Mori:
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database. CoRR abs/1912.12838 (2019)
Coauthor Index
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