| 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 | 95 | 2018 |
| Overview of the 7th workshop on Asian translation T Nakazawa, H Nakayama, C Ding, R Dabre, S Higashiyama, H Mino, ... Proceedings of the 7th Workshop on Asian Translation, 1-44, 2020 | 88 | 2020 |
| Compressing Word Embeddings via Deep Compositional Code Learning R Shu, H Nakayama International Conference for Learning Representations (ICLR), 2018 | 74 | 2018 |
| Global gaussian approach for scene categorization using information geometry H Nakayama, T Harada, Y Kuniyoshi 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 65 | 2010 |
| Annotation order matters: Recurrent image annotator for arbitrary length image tagging J Jin, H Nakayama 2016 23rd International Conference on Pattern Recognition (ICPR), 2452-2457, 2016 | 55 | 2016 |
| Multimodal gesture recognition using multi-stream recurrent neural network N Nishida, H Nakayama Image and Video Technology, 682-694, 2015 | 55 | 2015 |
| Deep learning for forecasting stock returns in the cross-section M Abe, H Nakayama Pacific-Asia Conference on Knowledge Discovery and Data Mining, 273-284, 2018 | 53 | 2018 |
| USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets L Rundo, C Han, Y Nagano, J Zhang, R Hataya, C Militello, A Tangherloni, ... Neurocomputing 365, 31-43, 2019 | 44 | 2019 |
| Journalist robot: Robot system making news articles from real world R Matsumoto, H Nakayama, T Harada, Y Kuniyoshi 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007 | 42 | 2007 |
| Zero-resource machine translation by multimodal encoder–decoder network with multimedia pivot H Nakayama, N Nishida Machine Translation 31 (1-2), 49-64, 2017 | 39 | 2017 |
| Learning more with less: Conditional PGGAN-based data augmentation for brain metastases detection using highly-rough annotation on MR images C Han, K Murao, T Noguchi, Y Kawata, F Uchiyama, L Rundo, ... Proceedings of the 28th ACM International Conference on Information and …, 2019 | 38 | 2019 |
| Semantic Aware Attention Based Deep Object Co-segmentation H Chen, Y Huang, H Nakayama Proceedings of Asian Conference on Computer Vision (ACCV), 2018 | 32 | 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 | 30 | 2019 |
| Synthesizing diverse lung nodules wherever massively: 3D multi-conditional GAN-based CT image augmentation for object detection C Han, Y Kitamura, A Kudo, A Ichinose, L Rundo, Y Furukawa, ... 2019 International Conference on 3D Vision (3DV), 729-737, 2019 | 30 | 2019 |
| Image-mediated learning for zero-shot cross-lingual document retrieval R Funaki, H Nakayama Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 30 | 2015 |
| 深層畳み込みニューラルネットワークによる画像特徴抽出と転移学習 中山英樹 信学技報 115 (146), 55-59, 2015 | 30 | 2015 |
| Improving local descriptors by embedding global and local spatial information T Harada, H Nakayama, Y Kuniyoshi European Conference on Computer Vision, 736-749, 2010 | 29 | 2010 |
| Correspondence learning apparatus and method and correspondence learning program, annotation apparatus and method and annotation program, and retrieval apparatus and method and … T Harada, H Nakayama, R Matsumoto, Y Kuniyoshi, N Otsu US Patent 8,423,485, 2013 | 26 | 2013 |
| Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior. R Shu, J Lee, H Nakayama, K Cho AAAI, 8846-8853, 2020 | 25 | 2020 |
| 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 Neural approaches to dynamics of signal exchanges, 291-303, 2020 | 25 | 2020 |
Changhee HanPh.D. in Computer Science, LPIXEL Inc.確認したメール アドレス: lpixel.net
