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Yasushi Hirano
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2020 – today
- 2022
- [j13]Shoji Kido, Shunske Kidera, Yasushi Hirano, Shingo Mabu, Tohru Kamiya, Nobuyuki Tanaka, Yuki Suzuki, Yanagawa Masahiro
, Noriyuki Tomiyama:
Segmentation of Lung Nodules on CT Images Using a Nested Three-Dimensional Fully Connected Convolutional Network. Frontiers Artif. Intell. 5: 782225 (2022) - 2020
- [j12]Rui Xu
Pulmonary Textures Classification via a Multi-Scale Attention Network. IEEE J. Biomed. Health Informatics 24(7): 2041-2052 (2020) - [j11]Shingo Mabu
Investigating the Effects of Transfer Learning on ROI-based Classification of Chest CT Images: A Case Study on Diffuse Lung Diseases. J. Signal Process. Syst. 92(3): 307-313 (2020)
2010 – 2019
- 2018
- [c31]Tamotsu Kawamura, Masaru Fukushi, Yasushi Hirano, Yusuke Fujita, Yoshihiko Hamamoto:
A Network-Based Event Detection Module Using NTP for Cyber Attacks on IoT. CANDAR Workshops 2018: 86-91 - [c30]Rui Xu, Zhen Cong, Xinchen Ye, Yasushi Hirano, Shoji Kido
Pulmonary Textures Classification Using A Deep Neural Network with Appearance and Geometry Cues. ICASSP 2018: 1025-1029 - [c29]Shingo Mabu, Shoji Kido
Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information. Computer-Aided Diagnosis 2018: 1057534 - [c28]Noriaki Hashimoto, Kenji Suzuki
Deep neural network convolution (NNC) for three-class classification of diffuse lung disease opacities in high-resolution CT (HRCT): Consolidation, ground-glass opacity (GGO), and normal opacity. Computer-Aided Diagnosis 2018: 1057536 - 2017
- [j10]Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Noriaki Hashimoto, Yasushi Hirano, Shoji Kido
Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns. Int. J. Comput. Assist. Radiol. Surg. 12(3): 519-528 (2017) - [j9]Yuriko Yoshino, Takahiro Miyajima, Huimin Lu
Automatic classification of lung nodules on MDCT images with the temporal subtraction technique. Int. J. Comput. Assist. Radiol. Surg. 12(10): 1789-1798 (2017) - 2015
- [j8]Wei Zhao
A Sparse Representation Based Method to Classify Pulmonary Patterns of Diffuse Lung Diseases. Comput. Math. Methods Medicine 2015: 567932:1-567932:11 (2015) - [c27]Kyohei Karasawa, Shoji Kido
Determination of lung regions on chest ct images with diffuse lung diseases by use of anatomical structures and pulmonary textures. EMBC 2015: 2985-2988 - 2014
- [c26]Shuji Tanaka, Yuriko Ikeda, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa, Seiichi Murakami, Takatoshi Aoki, Rie Tachibana, Yasushi Hirano, Shoji Kido
Automatic identification of lung candidate nodules on chest CT images based on temporal subtraction images. SCIS&ISIS 2014: 1364-1368 - [c25]Keisuke Yokota, Shinya Maeda, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa, Rie Tachibana, Yasushi Hirano, Shoji Kido
Automatic detection of GGO regions on CT images in LIDC dataset based on statistical features. SCIS&ISIS 2014: 1374-1377 - 2013
- [j7]Rui Xu
Particle System Based Adaptive Sampling on Spherical Parameter Space to Improve the MDL Method for Construction of Statistical Shape Models. Comput. Math. Methods Medicine 2013: 196259:1-196259:9 (2013) - [j6]Wei Zhao, Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido
Classification of Pneumoconiosis on HRCT Images for Computer-Aided Diagnosis. IEICE Trans. Inf. Syst. 96-D(4): 836-844 (2013) - [j5]Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido
A Bag-of-Features Approach to Classify Six Types of Pulmonary Textures on High-Resolution Computed Tomography. IEICE Trans. Inf. Syst. 96-D(4): 845-855 (2013) - [c24]Wei Zhao, Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido
Classification of diffuse lung diseases patterns by a sparse representation based method on HRCT images. EMBC 2013: 5457-5460 - [c23]Guangxu Li, Hyoungseop Kim, Joo Kooi Tan, Seiji Ishikawa, Yasushi Hirano, Shoji Kido
Semantic characteristics prediction of pulmonary nodule using Artificial Neural Networks. EMBC 2013: 5465-5468 - [c22]Yasushi Hirano, Nobuya Negishi, Yoshiyuki Ipposhi, Junichi Yamaguchi, Noboru Sonehara, Shu Kuramoto, Tsutomu Sawada:
Fault- and disaster-resistant medical cloud system for various medical applications. Healthcom 2013: 486-490 - 2012
- [c21]Hiroshi Fujita, Fumio Nogata, Huiyan Jiang, Shoji Kido
Medical image processing and computer-aided detection/diagnosis (CAD). ICCH 2012: 66-71 - 2011
- [c20]Rui Xu, Yasushi Hirano, Rie Tachibana, Shoji Kido
Classification of Diffuse Lung Disease Patterns on High-Resolution Computed Tomography by a Bag of Words Approach. MICCAI (3) 2011: 183-190 - 2010
- [j4]Yuichi Koyama, Yuichi Sawamoto, Yasushi Hirano, Shoji Kajita, Kenji Mase, Tomio Suzuki, Kimiko Katsuyama, Kazunobu Yamauchi:
A multi-modal dialogue analysis method for medical interviews based on design of interaction corpus. Pers. Ubiquitous Comput. 14(8): 767-778 (2010) - [c19]Shohei Yoshioka, Takuya Maekawa, Yasushi Hirano, Shoji Kajita, Kenji Mase:
Interactive story creation for knowledge acquisition. HRI 2010: 131-132 - [c18]Takuya Kitade, Yasushi Hirano, Shoji Kajita, Kenji Mase:
Personalizing Public and Privacy-Free Sensing Information with a Personal Digital Assistant. IPMU (2) 2010: 673-679
2000 – 2009
- 2009
- [j3]Kazuto Kuzuu, Yasushi Hirano, Kenji Mase, Toyohide Watanabe:
Construction of a Shared Terminal System by LDAP-Smart Card Authentication Cooperation. J. Networks 4(8): 711-719 (2009) - [c17]Shohei Yoshioka, Yasushi Hirano, Shoji Kajita, Kenji Mase, Takuya Maekawa:
Semi-automatic Story Creation System in Ubiquitous Sensor Environment. AmI 2009: 106-111 - 2008
- [c16]Mehrdad Panahpour Tehrani, Kenta Niwa, Norishige Fukushima
3DAV integrated system featuring arbitrary listening-point and viewpoint generation. MMSP 2008: 855-860 - [c15]Kazuto Kuzuu, Yasushi Hirano, Kenji Mase, Toyohide Watanabe:
Application to a Shared Terminal of a Roaming User Profile Set Up through LDAP-Smart Card Authentication Cooperation. SECRYPT 2008: 29-34 - 2007
- [c14]Yuichi Sawamoto, Yuichi Koyama, Yasushi Hirano, Shoji Kajita, Kenji Mase, Kimiko Katsuyama, Kazunobu Yamauchi:
Extraction of important interactions in medical interviewsusing nonverbal information. ICMI 2007: 82-85 - [c13]Tomoyuki Morita, Kenji Mase, Yasushi Hirano, Shoji Kajita:
Reciprocal attentive communication in remote meeting with a humanoid robot. ICMI 2007: 228-235 - [c12]Takahiko Mase, Yasushi Hirano, Shoji Kajita, Kenji Mase:
Improving Accuracy of WLAN-Based Location Estimation by Recursive Estimation. ISWC 2007: 117-118 - [c11]Hisashi Naito, Shoji Kajita, Yasushi Hirano, Kenji Mase:
Multiple-Tiered Security Hierarchy for Web Applications Using Central Authentication and Authorization Service. SAINT Workshops 2007: 27 - 2006
- [c10]Mehrdad Panahpour Tehrani, Yasushi Hirano, Toshiaki Fujii, Shoji Kajita, Kazuya Takeda, Kenji Mase:
Arbitrary Listening-Point Generation Using Sub-Band Representation of Sound Wave Ray-Space. ICASSP (5) 2006: 541-544 - [c9]Kosuke Akune, Kenji Mase, Yasushi Hirano, Shoji Kajita:
Discussion Support System for Video-oriented Sports Meetings. ICICIC (2) 2006: 561-564 - [c8]Kenji Matsuzawa, Kenji Mase, Yasushi Hirano, Shoji Kajita:
Experience Map Creation by Virtual WLAN Location Estimation. ISWC 2006: 117-118 - 2005
- [j2]Yasushi Hirano, Jun-ichi Hasegawa, Jun-ichiro Toriwaki, Hironobu Ohmatsu, Kenji Eguchi:
Interactive method to extract tumor regions from chest X-ray CT images and its application to benign/malignant discrimination. Syst. Comput. Jpn. 36(8): 90-101 (2005) - [c7]Mehrdad Panahpour Tehrani, Yasushi Hirano, Toshiaki Fujii
The sound wave ray-space. ICME 2005: 1118-1121 - [c6]Tomoyuki Morita, Yasushi Hirano, Yasuyuki Sumi, Shoji Kajita, Kenji Mase:
A pattern mining method for interpretation of interaction. ICMI 2005: 267-273 - 2004
- [c5]Yasushi Hirano, Jun-ichi Hasegawa, Jun-ichiro Toriwaki, Hironobu Ohmatsu, Kenji Eguchi:
Recognition of boundary voxels of tumors in chest CT images for extraction of tumor regions. CARS 2004: 1359 - 2002
- [c4]Yasushi Hirano, Jun-ichi Hasegawa, Jun-ichiro Toriwaki, Hironobu Ohmatsu, Kenji Eguchi:
Quantification of Shrinkage of Lung Lobe from Chest CT Images Using the 3D Extended Voronoi Division and its Application to the Benign/Malignant Discrimination of Tumor Shadows. ICPR (1) 2002: 751-754 - [c3]Yasushi Hirano, Yoshito Mekada, Jun-ichi Hasegawa, Jun-ichiro Toriwaki:
Quantification of the Spatial Distributionof Line Segments with Applications to CADof Chest X-Ray CT Images. Theoretical Foundations of Computer Vision 2002: 22-38 - 2001
- [j1]Yasushi Hirano, Akinobu Shimizu, Jun-ichi Hasegawa, Jun-ichiro Toriwaki:
A tracking algorithm for extracting ridge lines in three-dimensional gray images using curvature of four-dimensional hypersurface. Syst. Comput. Jpn. 32(12): 25-37 (2001) - [c2]Yasushi Hirano, Jun-ichi Hasegawa, Jun-ichiro Toriwaki, Hironobu Ohmatsu, Kenji Eguchi:
Extraction of tumor regions keeping boundary shape information from chest X-ray CT images and benign/malignant discrimination. CARS 2001: 659-664
1990 – 1999
- 1998
- [c1]Yasushi Hirano, Jun-ichi Hasegawa, Hironobu Ohmatsu, Yoshito Mekada, Jun-ichiro Toriwaki, Kenji Eguchi:
Three dimensional concentration index-a local feature for analyzing three dimensional digital line patterns and its application to chest X-ray CT images. ICPR 1998: 1040-1043
Coauthor Index
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