| 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 | 153 | 2013 |
| 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 | 147 | 2016 |
| Computer-aided system for predicting the histology of colorectal tumors by using narrow-band imaging magnifying colonoscopy (with video) Y Takemura, S Yoshida, S Tanaka, R Kawase, K Onji, S Oka, T Tamaki, ... Gastrointestinal endoscopy 75 (1), 179-185, 2012 | 88 | 2012 |
| Softassign and em-icp on gpu T Tamaki, M Abe, B Raytchev, K Kaneda 2010 First International Conference on Networking and Computing, 179-183, 2010 | 65 | 2010 |
| Directional wavelet based features for colonic polyp classification G Wimmer, T Tamaki, JJW Tischendorf, M Häfner, S Yoshida, S Tanaka, ... Medical image analysis 31, 16-36, 2016 | 55 | 2016 |
| A preliminarily study for predicting body weight and milk properties in lactating Holstein cows using a three-dimensional camera system Y Kuzuhara, K Kawamura, R Yoshitoshi, T Tamaki, S Sugai, M Ikegami, ... Computers and Electronics in Agriculture 111, 186-193, 2015 | 50 | 2015 |
| Quantitative analysis and development of a computer-aided system for identification of regular pit patterns of colorectal lesions Y Takemura, S Yoshida, S Tanaka, K Onji, S Oka, T Tamaki, K Kaneda, ... Gastrointestinal endoscopy 72 (5), 1047-1051, 2010 | 45 | 2010 |
| Local fractal dimension based approaches for colonic polyp classification M Häfner, T Tamaki, S Tanaka, A Uhl, G Wimmer, S Yoshida Medical image analysis 26 (1), 92-107, 2015 | 44 | 2015 |
| A computer system to be used with laser-based endoscopy for quantitative diagnosis of early gastric cancer R Miyaki, S Yoshida, S Tanaka, Y Kominami, Y Sanomura, T Matsuo, ... Journal of Clinical Gastroenterology 49 (2), 108-115, 2015 | 44 | 2015 |
| Quantitative identification of mucosal gastric cancer under magnifying endoscopy with flexible spectral imaging color enhancement R Miyaki, S Yoshida, S Tanaka, Y Kominami, Y Sanomura, T Matsuo, ... Journal of gastroenterology and hepatology 28 (5), 841-847, 2013 | 43 | 2013 |
| Image lens distortion correcting method T Tamaki, T Yamamura, N Ohnishi US Patent 6,791,616, 2004 | 40 | 2004 |
| Unified approach to image distortion T Tamaki, T Yamamura, N Ohnishi Object recognition supported by user interaction for service robots 2, 584-587, 2002 | 34 | 2002 |
| Measuring ball spin by image registration T Tamaki, T Sugino, M Yamamoto Proc. 10th Frontiers of Computer Vision, 269-274, 2004 | 32 | 2004 |
| Fundamentals and clinical application of spinal cord monitoring S Homma, T Tamaki Saikon, Tokyo, 1-450, 1984 | 25 | 1984 |
| Exploring texture transfer learning for colonic polyp classification via convolutional neural networks E Ribeiro, M Häfner, G Wimmer, T Tamaki, JJW Tischendorf, S Yoshida, ... 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 24 | 2017 |
| Face sequence recognition using Grassmann distances and Grassmann kernels R Shigenaka, B Raytchev, T Tamaki, K Kaneda The 2012 International Joint Conference on Neural Networks (IJCNN), 1-7, 2012 | 22 | 2012 |
| A system for colorectal tumor classification in magnifying endoscopic NBI images T Tamaki, J Yoshimuta, T Takeda, B Raytchev, K Kaneda, S Yoshida, ... Asian Conference on Computer Vision, 452-463, 2010 | 19 | 2010 |
| Image segmentation and object extraction based on geometric features of regions T Tamaki, T Yamamura, N Ohnishi Visual Communications and Image Processing'99 3653, 937-945, 1998 | 19 | 1998 |
| Scale matching of 3D point clouds by finding keyscales with spin images T Tamaki, S Tanigawa, Y Ueno, B Raytchev, K Kaneda 2010 20th International Conference on Pattern Recognition, 3480-3483, 2010 | 17 | 2010 |
| 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), 2018 | 15 | 2018 |
Bisser RaytchevHiroshima University, Department of Information EngineeringVerified email at hiroshima-u.ac.jp
