yasushi hirano
yasushi hirano
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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ーマンコンピュータインタラクション (HCI) 2005 (95 (2005-HI-115)), 61-68, 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
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