|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
|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
|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
|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
|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
|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
|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, ...