| GAN-based synthetic brain MR image generation C Han, H Hayashi, L Rundo, R Araki, W Shimoda, S Muramatsu, ... 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 409 | 2018 |
| Combining noise-to-image and image-to-image GANs: Brain MR image augmentation for tumor detection C Han, L Rundo, R Araki, Y Nagano, Y Furukawa, G Mauri, H Nakayama, ... IEEE Access 7, 156966-156977, 2019 | 212 | 2019 |
| Biosignal Data Augmentation Based on Generative Adversarial Networks S Harada, H Hayashi, S Uchida 40th Annual International Conference of the IEEE Engineering in Medicine and …, 2018 | 136 | 2018 |
| Infinite Brain MR Images: PGGAN-based Data Augmentation for Tumor Detection C Han, L Rundo, R Araki, Y Furukawa, G Mauri, H Nakayama, H Hayashi Smart Innovation, System and Technologies, 2018 | 106 | 2018 |
| GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks H Hayashi, K Abe, S Uchida Knowledge-Based Systems, 2019 | 61 | 2019 |
| Markerless Measurement and evaluation of General Movements in infants T Tsuji, S Nakashima, H Hayashi, Z Soh, A Furui, T Shibanoki, K Shima, ... Scientific reports 10 (1), 1-13, 2020 | 54 | 2020 |
| ProbAct: A Probabilistic Activation Function for Deep Neural Networks J Lee, K Shridhar, H Hayashi, BK Iwana, S Kang, S Uchida arXiv preprint arXiv:1905.10761, 2019 | 44 | 2019 |
| Predicting ischemic stroke after carotid artery stenting based on proximal calcification and the jellyfish sign N Ichinose, S Hama, T Tsuji, Z Soh, H Hayashi, Y Kiura, S Sakamoto, ... Journal of neurosurgery 128 (5), 1280-1288, 2018 | 34 | 2018 |
| A Recurrent Probabilistic Neural Network with Dimensionality Reduction Based on Time-series Discriminant Component Analysis H Hayashi, T Shibanoki, K Shima, Y Kurita, T Tsuji Neural Networks and Learning Systems, IEEE Transactions on 26 (12), 3021-3033, 2015 | 34 | 2015 |
| Page Segmentation using a Convolutional Neural Network with Trainable Co-occurrence Features J Lee, H Hayashi, W Ohyama, S Uchida Proceedings of The 15th International Conference on Document Analysis and …, 2019 | 32 | 2019 |
| Biosignal Generation and Latent Variable Analysis with Recurrent Generative Adversarial Networks S Harada, H Hayashi, S Uchida IEEE Access 7, 144292-144302, 2019 | 31 | 2019 |
| A Variance Distribution Model of Surface EMG Signals Based on Inverse Gamma Distribution H Hayashi, A Furui, Y Kurita, T Tsuji IEEE Transactions on Biomedical Engineering 64 (11), 2672-2681, 2017 | 26 | 2017 |
| An artificial EMG generation model based on signal-dependent noise and related application to motion classification A Furui, H Hayashi, G Nakamura, T Chin, T Tsuji PloS one 12 (6), e0180112, 2017 | 20 | 2017 |
| A scale mixture-based stochastic model of surface EMG signals with variable variances A Furui, H Hayashi, T Tsuji IEEE Transactions on Biomedical Engineering 66 (10), 2780-2788, 2019 | 18 | 2019 |
| Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders T Sumi, BK Iwana, H Hayashi, S Uchida Proceedings of The 15th International Conference on Document Analysis and …, 2019 | 13 | 2019 |
| Efficient Soft-Constrained Clustering for Group-Based Labeling R Bise, K Abe, H Hayashi, K Tanaka, S Uchida Proceedings of The 22nd International Conference on Medical Image Computing …, 2019 | 9 | 2019 |
| A Neural Network Based Infant Monitoring System to Facilitate Diagnosis of Epileptic Seizures Y Ogura, H Hayashi, S Nakashima, Z Soh, ... Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual …, 2015 | 9 | 2015 |
| Human–Machine Interfaces Based on Bioelectric Signals: A Narrative Review with a Novel System Proposal H Hayashi, T Tsuji IEEJ Transactions on Electrical and Electronic Engineering, 2022 | 8 | 2022 |
| A Neural Network Based on the Johnson SU Translation System and Related Application to Electromyogram Classification H Hayashi, T Shibanoki, T Tsuji IEEE Access, 2021 | 7 | 2021 |
| A Discriminative Gaussian Mixture Model with Sparsity H Hayashi, S Uchida The 9th International Conference on Learning Representations (ICLR 2021 …, 2021 | 7* | 2021 |
Seiichi UchidaKyushu University在 ait.kyushu-u.ac.jp 的电子邮件经过验证
