| Computer-aided diagnosis of colorectal polyp histology by using a real-time image recognition system and narrow-band imaging magnifying colonoscopy Y Kominami, S Yoshida, S Tanaka, Y Sanomura, T Hirakawa, B Raytchev, ... Gastrointestinal endoscopy 83 (3), 643-649, 2016 | 244 | 2016 |
| Computer-aided colorectal tumor classification in NBI endoscopy using local features T Tamaki, J Yoshimuta, M Kawakami, B Raytchev, K Kaneda, S Yoshida, ... Medical image analysis 17 (1), 78-100, 2013 | 196 | 2013 |
| Can AI predict animal movements? Filling gaps in animal trajectories using inverse reinforcement learning T Hirakawa, T Yamashita, T Tamaki, H Fujiyoshi, Y Umezu, I Takeuchi, ... Ecosphere 9 (10), e02447, 2018 | 44 | 2018 |
| Survey on vision-based path prediction T Hirakawa, T Yamashita, T Tamaki, H Fujiyoshi Distributed, Ambient and Pervasive Interactions: Technologies and Contexts …, 2018 | 41 | 2018 |
| SVM-MRF segmentation of colorectal NBI endoscopic images T Hirakawa, T Tamaki, B Raytchev, K Kaneda, T Koide, Y Kominami, ... 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 18 | 2014 |
| Transfer learning for endoscopic image classification S Sonoyama, T Tamaki, T Hirakawa, B Raytchev, K Kaneda, T Koide, ... arXiv preprint arXiv:1608.06713, 2016 | 7 | 2016 |
| Transfer learning for bag-of-visual words approach to NBI endoscopic image classification S Sonoyama, T Hirakawa, T Tamaki, T Kurita, B Raytchev, K Kaneda, ... 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 7 | 2015 |
| An FPGA Implementation of SVM for type identification with colorectal endoscopic images T Okamoto, T Koide, AT Hoang, T Shimizu, K Sugi, T Tamaki, T Hirakawa, ... Proceedings of the 20th Workshop on Synthesis And System Integration of …, 2016 | 6 | 2016 |
| Travel time-dependent maximum entropy inverse reinforcement learning for seabird trajectory prediction T Hirakawa, T Yamashita, K Yoda, T Tamaki, H Fujiyoshi 2017 4th IAPR Asian Conference on Pattern Recognition (ACPR), 430-435, 2017 | 4 | 2017 |
| Tree-wise discriminative subtree selection for texture image labeling T Hirakawa, T Tamaki, T Kurita, B Raytchev, K Kaneda, C Wang, ... IEEE Access 5, 13617-13634, 2017 | 4 | 2017 |
| Trade-off between speed and performance for colorectal endoscopic NBI image classification S Sonoyama, T Tamaki, T Hirakawa, B Raytchev, K Kaneda, T Koide, ... Medical Imaging 2015: Image Processing 9413, 646-653, 2015 | 3 | 2015 |
| Smoothing posterior probabilities with a particle filter of dirichlet distribution for stabilizing colorectal NBI endoscopy recognition T Hirakawa, T Tamaki, B Raytchev, K Kaneda, T Koide, Y Kominami, ... 2013 IEEE International Conference on Image Processing, 621-625, 2013 | 3 | 2013 |
| Labeling colorectal NBI zoom-videoendoscope image sequences with MRF and SVM T Hirakawa, T Tamaki, B Raytchev, K Kaneda, T Koide, S Yoshida, ... 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 3 | 2013 |
| Discriminative subtree selection for nbi endoscopic image labeling T Hirakawa, T Tamaki, T Kurita, B Raytchev, K Kaneda, C Wang, ... Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops …, 2017 | 2 | 2017 |
| Development of a Real-time Colorectal Tumor Classification System for Narrow-band Imaging zoom-videoendoscopy T Hirakawa, T Tamaki, B Raytchev, K Kaneda, T Koide, S Yoshida, ... arXiv preprint arXiv:1612.05000, 2016 | 1 | 2016 |
| Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition T Hirakawa, T Tamaki, B Raytchev, K Kaneda, T Koide, S Yoshida, ... Artificial Intelligence in Medicine 68, 1-16, 2016 | 1 | 2016 |
| Sa1668 usefulness of magnifying endoscopy with blue laser imaging for diagnosis of early gastric cancer R Miyaki, S Yoshida, S Tanaka, Y Kominami, Y Sanomura, T Matsuo, ... Gastrointestinal Endoscopy 77 (5), AB285, 2013 | 1 | 2013 |
| Endoscopic image diagnosis support system for computing average values of identification probabilities of pathological types T Koide, T HoangAnh, S Yoshida, T Mishima, S Shigemi, T Tamaki, ... US Patent 10,062,161, 2018 | | 2018 |
| Domain Adaptation with L2 constraints for classifying images from different endoscope systems T Tamaki, S Sonoyama, T Kurita, T Hirakawa, B Raytchev, K Kaneda, ... arXiv preprint arXiv:1611.02443, 2016 | | 2016 |
| Corrigendum to" Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition" Artif. Intell. Med. 68 (March 2016) 1-16 T Hirakawa, T Tamaki, B Raytchev, K Kaneda, T Koide, S Yoshida, ... Artificial Intelligence in Medicine 72 (C), 83, 2016 | | 2016 |
Toru TamakiNagoya Institute of Technology確認したメール アドレス: nitech.ac.jp
