| Multi-stage neural networks with single-sided classifiers for false positive reduction and its evaluation using lung X-ray CT images M Sakamoto, H Nakano, K Zhao, T Sekiyama Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017 | 17 | 2017 |
| Weighted cascading convolutional neural networks T Sekiyama, M Sakamoto, H Nakano, K Zhao US Patent 10,599,978, 2020 | 15 | 2020 |
| Lung nodule classification by the combination of fusion classifier and cascaded convolutional neural networks M Sakamoto, H Nakano, K Zhao, T Sekiyama 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 10 | 2018 |
| Prediction of accident risk based on anomaly detection K Zhao, T Katsuki, T Yoshizumi US Patent 11,312,374, 2022 | 6 | 2022 |
| A volume compression scheme based on block division with fast cubic B-spline evaluation K Zhao, N Sakamoto, K Koyamada AsiaSim 2012: Asia Simulation Conference 2012, Shanghai, China, October 27 …, 2012 | 6 | 2012 |
| Learning to estimate driver drowsiness from car acceleration sensors using weakly labeled data T Katsuki, K Zhao, T Yoshizumi ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 5 | 2020 |
| Particle-based volume rendering of remote volume datasets using flowvr A Lorant, A Ancel, K Zhao, N Sakamoto, K Koyamada, B Raffin AsiaSim 2012: Asia Simulation Conference 2012, Shanghai, China, October 27 …, 2012 | 5 | 2012 |
| Detection of operation tendency based on anomaly detection K Zhao, T Katsuki, T Yoshizumi US Patent 12,099,922, 2024 | 4 | 2024 |
| Using interactive particle-based rendering to visualize a large-scale time-varying unstructured volume with mixed cell types K Zhao, N Sakamoto, K Koyamada 2017 IEEE Pacific Visualization Symposium (PacificVis), 185-189, 2017 | 4 | 2017 |
| INTERACTIVE VISUALIZATION OF LARGE-SCALE 3D SCATTERED DATA FROM A TSUNAMI SIMULATION. K Zhao, S Naohisa, K Koyamada, S Tanaka, K Murotani, S Koshizuka International Journal of Industrial Engineering 24 (2), 2017 | 4 | 2017 |
| A Visualization of the Dynamic Behaviors of the Mixture of Water Mass Using Ocean Simulation Data for Northwestern Pacific near Japan K Zhao, S Nakada, N Sakamoto, K Koyamada, C Bajaj, Y Ishikawa, ... International Journal of Modeling, Simulation, and Scientific Computing 4, 0 | 4* | |
| Time-varying volume compression in spatio-temporal domain K Zhao, N Sakamoto, K Koyamada 日本シミュレーション学会英文誌 1 (1), 171-187, 2015 | 3 | 2015 |
| Fused visualization for large-scale time-varying volume data with adaptive particle-based rendering K Zhao, N Sakamoto, K Koyamada AsiaSim 2014: 14th International Conference on Systems Simulation …, 2014 | 3 | 2014 |
| A temporal coherence based framework for visualizing time-varying unstructured volume with PBVR K Zhao, N Sakamoto, K Koyamada Asian Simulation Conference, 163-174, 2012 | 3 | 2012 |
| Detection of decline in concentration based on anomaly detection T Katsuki, K Zhao, T Yoshizumi US Patent 10,740,634, 2020 | 2 | 2020 |
| Visual analytics for team-based invasion sports with significant events and Markov reward process K Zhao, T Osogami, T Morimura arXiv preprint arXiv:1907.01221, 2019 | 2 | 2019 |
| Surface-based object identification H Nakano, Y Negishi, M Sakamato, T Sekiyama, K Zhao US Patent 10,169,874, 2019 | 2 | 2019 |
| Multivariate probability distribution based sports highlight detection K Zhao, T Morimura, T Osogami US Patent 10,839,224, 2020 | 1 | 2020 |
| Optimizing tree-based convolutional neural networks TD Le, T Sekiyama, K Zhao US Patent App. 15/903,600, 2018 | 1 | 2018 |
| Optimizing tree-based convolutional neural networks TD Le, T Sekiyama, K Zhao US Patent App. 15/617,737, 2018 | 1 | 2018 |
Naohisa SakamotoKobe UniversityGeverifieerd e-mailadres voor people.kobe-u.ac.jp