| Detection and classification of lung abnormalities by use of convolutional neural network (CNN) and regions with CNN features (R-CNN) S Kido, Y Hirano, N Hashimoto 2018 International workshop on advanced image technology (IWAIT), 1-4, 2018 | 191 | 2018 |
| Texture analysis on 18F-FDG PET/CT images to differentiate malignant and benign bone and soft-tissue lesions R Xu, S Kido, K Suga, Y Hirano, R Tachibana, K Muramatsu, K Chagawa, ... Annals of nuclear medicine 28, 926-935, 2014 | 101 | 2014 |
| Classification of diffuse lung disease patterns on high-resolution computed tomography by a bag of words approach R Xu, Y Hirano, R Tachibana, S Kido Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011: 14th …, 2011 | 57 | 2011 |
| Automatic classification of large-scale respiratory sound dataset based on convolutional neural network K Minami, H Lu, H Kim, S Mabu, Y Hirano, S Kido 2019 19th International Conference on Control, Automation and Systems (ICCAS …, 2019 | 55 | 2019 |
| Reciprocal attentive communication in remote meeting with a humanoid robot T Morita, K Mase, Y Hirano, S Kajita Proceedings of the 9th international conference on Multimodal interfaces …, 2007 | 50 | 2007 |
| Computer-aided diagnosis of lung cancer: definition and detection of ground-glass opacity type of nodules by high-resolution computed tomography T Okada, S Iwano, T Ishigaki, T Kitasaka, Y Hirano, K Mori, Y Suenaga, ... Japanese journal of radiology 27, 91-99, 2009 | 35 | 2009 |
| Semantic characteristics prediction of pulmonary nodule using artificial neural networks G Li, H Kim, JK Tan, S Ishikawa, Y Hirano, S Kido, R Tachibana 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 27 | 2013 |
| Classification of diffuse lung diseases patterns by a sparse representation based method on HRCT images W Zhao, R Xu, Y Hirano, R Tachibana, S Kido 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 27 | 2013 |
| Automatic classification of lung nodules on MDCT images with the temporal subtraction technique Y Yoshino, T Miyajima, H Lu, J Tan, H Kim, S Murakami, T Aoki, ... International Journal of Computer Assisted Radiology and Surgery 12, 1789-1798, 2017 | 25 | 2017 |
| 大学における統一認証基盤としての CAS とその拡張 内藤久資， 梶田将司， 小尻智子， 平野靖， 間瀬健二 情報処理学会論文誌 47 (4), 1127-1135, 2006 | 25 | 2006 |
| Quantification of vessels convergence in three-dimensional chest X-ray CT images with three-dimensional concentration index Y Hirano, J Toriwaki, Y Mekada, J Hasegawa, H Ohmatsu, K Eguchi Medical Imaging Technology 15, 1997 | 25 | 1997 |
| Deep learning for pulmonary image analysis: classification, detection, and segmentation S Kido, Y Hirano, S Mabu Deep Learning in Medical Image Analysis: Challenges and Applications, 47-58, 2020 | 24 | 2020 |
| An NTP-based detection module for DDoS attacks on IoT T Kawamura, M Fukushi, Y Hirano, Y Fujita, Y Hamamoto 2017 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW …, 2017 | 24 | 2017 |
| Segmentation of lung nodules on CT images using a nested three-dimensional fully connected convolutional network S Kido, S Kidera, Y Hirano, S Mabu, T Kamiya, N Tanaka, Y Suzuki, ... Frontiers in artificial intelligence 5, 782225, 2022 | 22 | 2022 |
| 3DAV integrated system featuring arbitrary listening-point and viewpoint generation MP Tehrani, K Niwa, N Fukushima, Y Hirano, T Fujii, M Tanimoto, ... 2008 IEEE 10th Workshop on Multimedia Signal Processing, 855-860, 2008 | 21 | 2008 |
| A bag-of-features approach to classify six types of pulmonary textures on high-resolution computed tomography R Xu, Y Hirano, R Tachibana, S Kido IEICE TRANSACTIONS on Information and Systems 96 (4), 845-855, 2013 | 19 | 2013 |
| 食材利用履歴に基づき個人の嗜好を反映するレシピ推薦手法 上田真由美， 石原和幸， 平野靖， 梶田将司， 間瀬健二 DBSJ letters 6 (4), 29-32, 2008 | 19 | 2008 |
| A pattern mining method for interpretation of interaction T Morita, Y Hirano, Y Sumi, S Kajita, K Mase Proceedings of the 7th international conference on Multimodal interfaces …, 2005 | 18 | 2005 |
| 体験記録における日記を用いた感情記録インタフェス 志村将吾， 平野靖， 梶田将司， 間瀬健二 情報処理学会研究報告ヒュマンコンピュタインタラクション (HCI) 2005 (95 (2005-HI-115)), 61-68, 2005 | 18 | 2005 |
| Pulmonary textures classification via a multi-scale attention network R Xu, Z Cong, X Ye, Y Hirano, S Kido, T Gyobu, Y Kawata, O Honda, ... IEEE journal of biomedical and health informatics 24 (7), 2041-2052, 2019 | 17 | 2019 |
