| 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 | 440 | 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 | 229 | 2019 |
| 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 | 113 | 2020 |
| MT-DSSD: Deconvolutional single shot detector using multi task learning for object detection, segmentation, and grasping detection R Araki, T Onishi, T Hirakawa, T Yamashita, H Fujiyoshi 2020 IEEE International Conference on Robotics and Automation (ICRA), 10487 …, 2020 | 36 | 2020 |
| Detecting layered structures of partially occluded objects for bin picking Y Inagaki, R Araki, T Yamashita, H Fujiyoshi 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 16 | 2019 |
| Bin-picking robot using a multi-gripper switching strategy based on object sparseness M Fujita, Y Domae, R Kawanishi, GAG Ricardez, K Kato, K Shiratsuchi, ... 2019 IEEE 15th International Conference on Automation Science and …, 2019 | 14 | 2019 |
| MT-DSSD: multi-task deconvolutional single shot detector for object detection, segmentation, and grasping detection R Araki, T Hirakawa, T Yamashita, H Fujiyoshi Advanced Robotics 36 (8), 373-387, 2022 | 11 | 2022 |
| ARC2017 RGB-D dataset for object detection and segmentation R Araki, T Yamashita, H Fujiyoshi Late Breaking Results Poster on International Conference on Robotics and …, 2018 | 9 | 2018 |
| Iterative Coarse-to-Fine 6D-Pose Estimation Using Back-propagation R Araki, K Mano, T Hirano, T Hirakawa, T Yamashita, H Fujiyoshi 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 2 | 2021 |
| Towards Annotating Less Medical Images:--PGGAN-based MR Image Augmentation for Brain Tumor Detection C Han, H Hayashi, L Rundo, R Araki, Y Nagano, Y Furukawa, G Mauri, ... IEICE Technical Report; IEICE Tech. Rep. 118 (412), 93-94, 2019 | 1 | 2019 |
