| Dynamic mode decomposition using a Kalman filter for parameter estimation T Nonomura, H Shibata, R Takaki AIP Advances 8 (10), 2018 | 71 | 2018 |
| Extended-Kalman-filter-based dynamic mode decomposition for simultaneous system identification and denoising T Nonomura, H Shibata, R Takaki PloS one 14 (2), e0209836, 2019 | 65 | 2019 |
| Stable, non-dissipative, and conservative flux-reconstruction schemes in split forms Y Abe, I Morinaka, T Haga, T Nonomura, H Shibata, K Miyaji Journal of Computational Physics 353, 193-227, 2018 | 48 | 2018 |
| Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI T Takenaga, S Hanaoka, Y Nomura, T Nakao, H Shibata, S Miki, ... International Journal of Computer Assisted Radiology and Surgery 16, 1527-1536, 2021 | 15 | 2021 |
| Performance prediction of electrohydrodynamic thrusters by the perturbation method H Shibata, Y Watanabe, K Suzuki Physics of Plasmas 23 (5), 2016 | 11 | 2016 |
| Global stability analysis method to numerically predict precursor of breakdown voltage H Shibata, Y Ohmichi, Y Watanabe, K Suzuki Plasma Sources Science and Technology 24 (5), 055014, 2015 | 9 | 2015 |
| Playing the Werewolf game with artificial intelligence for language understanding H Shibata, S Miki, Y Nakamura arXiv preprint arXiv:2302.10646, 2023 | 8 | 2023 |
| Local differential privacy image generation using flow-based deep generative models H Shibata, S Hanaoka, Y Cao, M Yoshikawa, T Takenaga, Y Nomura, ... Applied Sciences 13 (18), 10132, 2023 | 7 | 2023 |
| Practical Medical Image Generation with Provable Privacy Protection based on Denoising Diffusion Probabilistic Models for High-resolution Volumetric Images H Shibata, S Hanaoka, T Nakao, T Kikuchi, Y Nakamura, Y Nomura, ... Applied Sciences 14 (8), 3489, 2024 | 6 | 2024 |
| Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning Y Nomura, S Hanaoka, T Takenaga, T Nakao, H Shibata, S Miki, ... International Journal of Computer Assisted Radiology and Surgery 16, 1901-1913, 2021 | 5 | 2021 |
| A novel method to predict current voltage characteristics of positive corona discharges based on a perturbation technique. I. Local analysis H Shibata, R Takaki Aip Advances 7 (11), 2017 | 5 | 2017 |
| Numerical study on fundamental characteristics of electro-hydrodynamic thruster for mobility in planetary atmosphere H Shibata, Y Watanabe, R Yano, K Suzuki Transactions of the Japan Society for Aeronautical and Space Sciences …, 2014 | 5 | 2014 |
| AIWolfDial 2023: Summary of Natural Language Division of 5th International AIWolf Contest Y Kano, N Watanabe, K Kagaminuma, C Aranha, J Lee, B Hauer, ... Proceedings of the 16th International Natural Language Generation Conference …, 2023 | 4 | 2023 |
| Versatile anomaly detection method for medical images with semi-supervised flow-based generative models H Shibata, S Hanaoka, Y Nomura, T Nakao, I Sato, D Sato, N Hayashi, ... International Journal of Computer Assisted Radiology and Surgery 16 (12 …, 2021 | 4 | 2021 |
| On the simulation of ultra-sparse-view and ultra-low-dose computed tomography with maximum a posteriori reconstruction using a progressive flow-based deep generative model H Shibata, S Hanaoka, Y Nomura, T Nakao, T Takenaga, N Hayashi, ... Tomography 8 (5), 2129-2152, 2022 | 3 | 2022 |
| X2CT-FLOW: Maximum a posteriori reconstruction using a progressive flow-based deep generative model for ultra sparse-view computed tomography in ultra low-dose protocols H Shibata, S Hanaoka, Y Nomura, T Nakao, T Takenaga, N Hayashi, ... arXiv preprint arXiv:2104.04179, 2021 | 3 | 2021 |
| 階層型等間隔直交構造格子を用いた高速・高精度乱流解析プログラムの開発 高木， 亮治， 河合， 宗司， 福島 宇宙航空研究開発機構特別資料: 第 51 回流体力学講演会/第 37 回航空宇宙数値シミ …, 2020 | 3 | 2020 |
| X2CT-FLOW: Reconstruction of multiple volumetric chest computed tomography images with different likelihoods from a uni-or biplanar chest X-ray image using a flow-based … H Shibata, S Hanaoka, Y Nomura, T Nakao, T Takenaga, N Hayashi, ... arXiv preprint arXiv:2104.04179, 2021 | 2 | 2021 |
| A versatile anomaly detection method for medical images with a flow-based generative model in semi-supervision setting H Shibata, S Hanaoka, Y Nomura, T Nakao, I Sato, D Sato, N Hayashi, ... arXiv preprint arXiv:2001.07847, 2020 | 2 | 2020 |
| Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method H Shibata, S Hanaoka, Y Nomura, T Nakao, I Sato, N Hayashi, O Abe arXiv preprint arXiv:2001.07847, 2020 | 2 | 2020 |
shouhei hanaokaDept. of Radiology, The Univ. of TokyoEmail verificata su umin.ac.jp