| Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge HR Roth, Z Xu, CT Diez, RS Jacob, J Zember, J Molto, W Li, S Xu, ... Medical Image Analysis, 102605, 2022 | 55 | 2022 |
| Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database T Zheng, H Oda, T Moriya, T Sugino, S Nakamura, M Oda, M Mori, ... Medical Imaging 2020: Image Processing 11313, 1131305, 2020 | 12 | 2020 |
| Unsupervised segmentation of COVID-19 infected lung clinical CT volumes using image inpainting and representation learning T Zheng, M Oda, C Wang, T Moriya, Y Hayashi, Y Otake, M Hashimoto, ... Medical Imaging 2021: Image Processing 11596, 115963F, 2021 | 11 | 2021 |
| L-former: a lightweight transformer for realistic medical image generation and its application to super-resolution T Zheng, H Oda, Y Hayashi, S Nakamura, M Mori, H Takabatake, H Natori, ... Medical Imaging 2023: Image Processing 12464, 245-250, 2023 | 4 | 2023 |
| Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes M Oda, T Zheng, Y Hayashi, Y Otake, M Hashimoto, T Akashi, S Aoki, ... Medical Imaging 2022: Computer-Aided Diagnosis 12033, 46-52, 2022 | 4 | 2022 |
| SR-CycleGAN: super-resolution of clinical CT to micro-CT level with multi-modality super-resolution loss T Zheng, H Oda, Y Hayashi, T Moriya, S Nakamura, M Mori, H Takabatake, ... Journal of Medical Imaging 9 (2), 024003, 2022 | 3 | 2022 |
| COVID-19 Infection Segmentation from Chest CT Images Based on Scale Uncertainty M Oda, T Zheng, Y Hayashi, Y Otake, M Hashimoto, T Akashi, S Aoki, ... Clinical Image-Based Procedures, Distributed and Collaborative Learning …, 2021 | 1 | 2021 |
| Super-resolution of clinical CT volumes with modified CycleGAN using micro CT volumes T Zheng, H Oda, T Moriya, T Sugino, S Nakamura, M Oda, M Mori, ... arXiv preprint arXiv:2004.03272, 2020 | 1 | 2020 |
| On the influence of data augmentation and network structures in bleeding detection from brain CT images using deep learning Z Lu, M Oda, T Zheng, C Shen, T Hu, T Watadani, O Abe, M Hashimoto, ... IEICE Technical Report; IEICE Tech. Rep. 119 (51), 65-70, 2019 | 1 | 2019 |
| TNF: Tri-branch Neural Fusion for Multimodal Medical Data Classification T Zheng, S Sone, Y Ushiku, Y Oba, J Ma arXiv preprint arXiv:2403.01802, 2024 | | 2024 |
| SGSR: style-subnets-assisted generative latent bank for large-factor super-resolution with registered medical image dataset T Zheng, H Oda, Y Hayashi, S Nakamura, M Mori, H Takabatake, H Natori, ... International Journal of Computer Assisted Radiology and Surgery, 1-14, 2023 | | 2023 |
| Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-mixer M Oda, T Zheng, Y Hayashi, Y Otake, M Hashimoto, T Akashi, S Aoki, ... Medical Imaging 2023: Computer-Aided Diagnosis 12465, 736-741, 2023 | | 2023 |
| Coarse-to-fine cascade framework for cross-modality super-resolution on clinical/micro CT dataset T Zheng, H Oda, Y Hayashi, S Nakamura, M Mori, H Takabatake, H Natori, ... Medical Imaging 2022: Image Processing 12032, 491-496, 2022 | | 2022 |
| Super-Resolution by Latent Space Exploration: Training with Poorly-Aligned Clinical and Micro CT Image Dataset T Zheng, H Oda, Y Hayashi, S Nakamura, M Oda, K Mori International Workshop on Simulation and Synthesis in Medical Imaging, 24-33, 2021 | | 2021 |
| Watershed-based Alveoli Segmentation from Micro-focus X-ray CT Volumes of Dissected Human Lungs T Shiina, H Oda, T Zheng, S Nakamura, M Oda, K Mori IEICE Technical Report; IEICE Tech. Rep. 121 (21), 9-10, 2021 | | 2021 |
| COVID-19 診断支援 AI 開発における名古屋大学の取り組み 小田昌宏， 鄭通， 林雄一郎， 森健策 Medical Imaging Technology 39 (1), 13-19, 2021 | | 2021 |
| Development of Diagnosis Assistant AI for COVID-19 Patients M Oda, T Zheng, Y Hayashi, K Mori Medical Imaging Technology, 13-19, 2021 | | 2021 |
| Micro CT Image-Assisted Cross Modality Super-Resolution of Clinical CT Images Utilizing Synthesized Training Dataset T Zheng, H Oda, M Oda, S Nakamura, M Mori, H Takabatake, H Natori, ... arXiv preprint arXiv:2010.10207, 2020 | | 2020 |
| SR-CycleGAN V2: CycleGAN-based unsupervised super-resolution with pixel-shuffling KM Tong Zheng, Hirohisa Oda, Takayasu Moriya, Takaaki Sugino, Shota Nakamura ... CARS 2020, LE-42, 2020 | | 2020 |
| 敵対的 Dense U-net を用いた切除肺マイクロ CT 像の超解像 鄭,通， 小田， 小田， 昌宏， 中村， 森健策 電子情報通信学会技術研究報告; 信学技報 118 (412), 7-12, 2019 | | 2019 |
Masahiro OdaInformation Technology Center, Nagoya UniversityVerified email at is.nagoya-u.ac.jp
