| Defect detection and classification of electronic circuit boards using keypoint extraction and CNN features YTTSH Usami, Y Iwahori, MK Bhuyan | 37 | 2017 |
| Colorectal polyp classification based on latent sharing features domain from multiple endoscopy images H Usami, Y Iwahori, Y Adachi, MK Bhuyan, A Wang, S Inoue, M Ebi, ... Procedia Computer Science 176, 2507-2514, 2020 | 9 | 2020 |
| Automatic polyp detection from endoscope image using likelihood map based on edge information Y Iwahori, H Hagi, H Usami, RJ Woodham, A Wang, MK Bhuyan, ... International Conference on Pattern Recognition Applications and Methods 2 …, 2017 | 9 | 2017 |
| Development of web learning support system using “my dictionary” in English study H Usami, H Eguchi, M Ozaki, Y Adachi Procedia Computer Science 60, 944-951, 2015 | 9 | 2015 |
| Polyp classification using multiple cnn-svm classifiers from endoscope images M Murata, H Usami, Y Iwahori, W Aili The Ninth International Conferences on Pervasive Patterns and Applications …, 2017 | 8 | 2017 |
| Generating lambertian image by removing specular reflection component and difference of reflectance factor using hsv N Ikeda, H Usami, Y Iwahori, B Kijsirikul, K Kasugai IEICE Proceedings Series 61 (4870), 2016 | 8 | 2016 |
| Shape recovery of polyp from endoscope image using blood vessel information Y Iwahori, T Suda, K Funahashi, H Usami, A Wang, MK Bhuyan, ... Computational Science/Intelligence and Applied Informatics, 165-184, 2018 | 6 | 2018 |
| Automatic generation of polyp image using depth map for endoscope dataset H Yamane, S Fukui, Y Iwahori, H Usami, MK Bhuyan, N Ogasawara, ... Procedia Computer Science 192, 2355-2364, 2021 | 5 | 2021 |
| Polyp Shape Recovery using Vascular Border from Single Colonoscopy Image. H Usami, Y Iwahori, MK Bhuyan, A Wang, N Ogasawara, K Kasugai BIOIMAGING 2019, 104-111, 2019 | 5 | 2019 |
| Mediastinal Lymph Node Detection using Deep Learning. JP Singh, Y Iwahori, MK Bhuyan, H Usami, T Oshiro, Y Shimizu ICPRAM, 159-166, 2020 | 4 | 2020 |
| Shape recovery of polyp using blood vessel detection and matching estimation by U-Net H Toda, Y Iwahori, H Usami, B Kijsirikul, MK Bhuyan, N Ogasawara, ... 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI …, 2019 | 4 | 2019 |
| Computational Science/Intelligence and Applied Informatics R Lee Springer, 2018 | 4 | 2018 |
| Cost reduction of creating likelihood map for automatic polyp detection using image pyramid T Ooto, H Usami, Y Iwahori, A Wang, N Ogasawara, K Kasugai 2017 5th Intl Conf on Applied Computing and Information Technology/4th Intl …, 2017 | 4 | 2017 |
| 3d shape recovery of polyp using two light sources endoscope H Usami, Y Hanai, Y Iwahori, K Kasugai 2016 IEEE/ACIS 15th International Conference on Computer and Information …, 2016 | 4 | 2016 |
| Detection of Lymph Nodes using CNN from Contrast-Enhanced CT Images T Ono, Y Iwahori, H Usami, B Kijsirikul, MK Bhuyan, T Oshiro, Y Shimizu 2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI …, 2020 | 3 | 2020 |
| Polyp Classification and Clustering from Endoscopic Images using Competitive and Convolutional Neural Networks. A Kabra, Y Iwahori, H Usami, MK Bhuyan, N Ogasawara, K Kasugai ICPRAM, 446-452, 2019 | 3 | 2019 |
| Recovering shape from endoscope image using eikonal equation Y Iwahori, H Usami, M Bhuyan, A Wang, N Ogasawara, K Kasugai PATTERNS 2021, 1-2, 2021 | 2 | 2021 |
| Proposal of a web learning support system using teaching materials based on degree of achievement and note-taking techniques H Usami, A Sugimura, Y Adachi, M Ozaki Procedia Computer Science 22, 1182-1191, 2013 | 2 | 2013 |
| Improvement of Polyp Detection using MUNIT for Image Generation Y Iwahori, T Ooto, H Usami, S Fukui, MK Bhuyan, A Wang, N Ogasawara, ... Procedia Computer Science 207, 416-424, 2022 | 1 | 2022 |
| Automatic detection of lst-type polyp by cnn using depth map Y Iwahori, S Miyazaki, H Usami, MK Bhuyan, B Kijsirikul, A Wang, ... Handbook of Artificial Intelligence in Healthcare: Vol. 1-Advances and …, 2022 | 1 | 2022 |
Yuji IwahoriDept. of Computer Science, Chubu University在 isc.chubu.ac.jp 的电子邮件经过验证
