HIRANO Yasushi


HIRANO Yasushi

J-GLOBAL         Last updated: Dec 3, 2019 at 19:53
 
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Name
HIRANO Yasushi
Affiliation
Yamaguchi University
Section
Graduate School of Sciences and Technology for Innovation
Job title
Associate Professor,Others,Others,Others
Degree
Ph.D(Nagoya University), MEng, BEng
Research funding number
90324459

Research Areas

 
 

Academic & Professional Experience

 
2006
   
 
- National Institute of Infomatics
 
Apr 2010
 - 
Jun 2010
Associate Professor, Graduate School of Medicine(Engineering), YAMAGUCHI UNIVERSITY
 

Education

 
 
 - 
1999
Department of Information Engineering, Graduate School, Division of Engineering, Nagoya University
 
 
 - 
1995
Faculty of Engineering, Nagoya University
 
 
 - 
Mar 1995
Department of Electronic Information Engineering, School of Engineering, Nagoya University
 
 
 - 
Nov 1999
Department of Information Engineering, Graduate School of Engineering, Nagoya University
 

Awards & Honors

 
Nov 2013
Two-step AdaBoost for Automatic Identification of Lung Nodules Candidate by Using Density and Shape Features, Best Presentation Award, 14th International Symposium on Advanced Intelligent Systems (ISIS2013)
Winner: Shuji TANAKA, Takahiro MIYAJIMA, Yuriko IKEDA, Shinya MAEDA, Hyoungseop KIM, Joo Kooi TAN, Seiji ISHIKAWA, Seiichi MURAKAMI, Takatoshi AOKI, Yasushi HIRANO, Shoji KIDO, Rie TACHIBANA
 
2008
Best Paper Award (IEEE MMSP 2008)
 

Published Papers

 
Pulmonary Textures Classification via a Multi-Scale Attention Network
Rui Xu, Zhen Cong, Xinchen Ye, Yasushi Hirano, Shoji Kido, Tomoko Gyobu, Yutaka Kawata, Osamu Honda, Noriyuki Tomiyama
IEEE Journal of Biomedical and Health Informatics      Nov 2019   [Refereed]
A Detection Method for Liver Cancer Region Based on Faster R-CNN
Muki FURUZUKI, Huimin LU, Hyoungseop KIM, Yasushi HIRANO, Shingo MABU, Masahiro TANABE, Shoji KIDO
19th International Conference on Control, Automation and Systems (ICCAS 2019)      Oct 2019
Automatic Classification of Large-Scale Respiratory Sound Dataset Based on Convolutional Neural Network
Koki Minami, Huimin Lu, Hyoungseop Kim, Shingo Mabu, Yasushi Hirano, Shoji Kido
19th International Conference on Control, Automation and Systems (ICCAS 2019)      Oct 2019
Artifacts reduction for analyzing postmortem CT images by using deep learning
S. Chai, Y. Hirano, S. Kido, K. Kinoshita, K. Inai, S. Noriki
Computer Assisted Radiology 33rd International Congress and Exhibition   007   Jun 2019   [Refereed]
Detection of Malignant Cells in Cervical Cancer Cytology using Faster R-CNN
Taisuke Tsumori, Shoji Kido, Yasushi Hirano, Masaki Mori, Kunihiro Inai, Yoshiaki Imamura
Medical Imaging Technology   37(3) 155-163   May 2019   [Refereed]
Segmentation of lung region from chest X-ray images using U-net
Keigo Furutani, Yasushi Hirano, Shoji Kido
The Joint 2019 International Workshop on Advanced Image Technology (IWAIT) & International Forum on Medical Imaging in Asia (IFMIA)   53   Jan 2019   [Refereed]
Detection of pulmonary nodules on chest X-ray images using R-CNN
Risa Takemiya, Shoji Kido, Yasushi Hirano, Shingo Mabu
The Joint 2019 International Workshop on Advanced Image Technology (IWAIT) & International Forum on Medical Imaging in Asia (IFMIA)   92   Jan 2019   [Refereed]
Opacity classification of diffuse lung diseases using convolutional neural network
Ami Atsumo, Shingo Mabu, Shoji Kido, Yasushi Hirano, Takashi Kuremoto
The Joint 2019 International Workshop on Advanced Image Technology (IWAIT) & International Forum on Medical Imaging in Asia (IFMIA)   22   Jan 2019   [Refereed]
Data enhancement of deep learning for thoracic imaging
Shoji Kido, Yasushi Hirano, Shingo Mabu
The Joint 2019 International Workshop on Advanced Image Technology (IWAIT) & International Forum on Medical Imaging in Asia (IFMIA)   148   Jan 2019   [Refereed]
Unsupervised and semi-supervised learning for efficient opacity annotation of diffuse lung diseases
Shingo Mabu, Shoji Kido, Yasushi Hirano, Takashi Kuremoto
The Joint 2019 International Workshop on Advanced Image Technology (IWAIT) & International Forum on Medical Imaging in Asia (IFMIA)   249   Jan 2019   [Refereed]
Estimation of cause of death and post-mortem time using texture analysis by means of AI
Yasushi Hirano, Shoji Kido
INNERVISION   33(12) 21-23   Dec 2018   [Invited]
Data Enhancement of Deep Learning for Medical Image Analysis: How Do We Increase Precisely Labeled Training Images?
Shoji Kido, Shingo Mabu, Yasushi Hirano
104th Scientific Assembly and Annual Meeting of the Radiological Society of North America      Nov 2018   [Refereed]
Deep Learning Techniques for Automated Segmentation of Diffuse Lung Disease Opacities on CT Images
Shoji Kido, Kanako Murakami, Noriaki Hashimoto, Yasushi Hirano, Shingo Mabu, Kenji Suzuki
104th Scientific Assembly and Annual Meeting of the Radiological Society of North America      Nov 2018   [Refereed]
Automated Construction of the Optimal Structure for 3D CNN by Using the Bayesian Optimization
Yasushi Hirano, Takayoshi Ito, Shoji Kido, Shingo Iwano
104th Scientific Assembly and Annual Meeting of the Radiological Society of North America      Nov 2018   [Refereed]
Segmentation of lung nodules on MDCT images by using 3D Conv-DeconvNet
Shunsuke Kidera, Shoji Kido, Yasushi Hirano, Shingo Mabu, Nobuyuki Tanaka
Computer Assisted Radiology and Surgery, 32th International Congress and Exhibition (CARS2018)      Jun 2018   [Refereed]
First-Reader Computerized System for Distinction between Malignant and Benign Nodules on Thoracic CT Images By Means of End-To-End Deep Learning: Convolutional Neural Network (CNN) and Neural Network Convolution (NNC) Approaches
Takayoshi Ito, Yasushi Hirano, Kenji Suzuki, Shoji Kido
The Radiological Society of North America      Nov 2017   [Refereed]
Computer-Aided Analysis of Diffuse Lung Diseases on Chest Radiographs: Feature Extraction Based Method versus Non-Feature Extraction Based Method
Shoji Kido, Noriaki Hashimoto, Yasushi Hirano
39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society      Jul 2017   [Refereed]
Computer-aided classification of diffuse lung disease patterns using convolutional neural network
Kanako Murakami, Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Kensuke Wakasugi, Kunihiro Inai
Computer Assisted Radiology and Surgery, 31th International Congress and Exhibition (CARS2017)      Jun 2017   [Refereed]
Tamotsu Kawamura, Masaru Fukushi, Yasushi Hirano, Yusuke Fujita and Yoshihiko Hamamoto
Proceedings of 2017 IEEE International Conference on Consumer Electronics      Jun 2017   [Refereed]
Rie TACHIBANA, Yasushi HIRANO, Rui XU, Shoji KIDO, Kazuyoshi SUG
Medical Imaging Technology   30(2) 123-129   Mar 2012
Cavity Enhancement Filter and Its Application in a Method for Extracting Bronchial Regions from Chest CT Images
Yasushi HIRANO, Rui XU, Rie TACHIBANA, Shoji KIDO
Medical Imaging Technology   30(1) 33-42   Jan 2012
Yuki Watanabe, Yasushi Hirano, Shoji Kido, Munemasa Okada, Kazuyoshi Suga
Journal of Japanese Society for Medical and Biological Engineering   49(1) 76-83   May 2011
Yuichi Koyama, Yuichi Sawamoto, Yasushi Hirano, Shoji Kajita, Kenji, Mase, Tomio Suzuki, Kimiko Katsuyama, Kazunobu Yamauchi
Personal and Ubiquitous Computing   14(8) 767-778   Dec 2010
Kimiko Katsuyama, Yuichi Koyama, Yasushi Hirano, Kenji Mase, Ken Kato, Satoshi Mizuno, Kazunobu Yamauchi
International Journal of Health Care Quality Assurance   23(4) 378-399   Apr 2010   [Refereed]
Name Identification Method for Lifelong ID in Higher Educational Institutions
Yoshihiro Ohta, Shoji Kajita, Yoshinori Tajima, Hisanori Tajima, Yasushi Hirano, Hisashi Naito, Kenji Mase
Journal of Information Processing Society of Japan   51(3) 965-973   Mar 2010   [Refereed]
An Interpretation Method for Multimodal Interaction Based on Motif Extraction and Its Application to Doctor-Patient Dialogue Summarization
Yuichi Sawamoto, Yuichi Koyama, Yasushi Hirano, Shoji Kajita, Kenji Mase, Tomio Suzuki, Kimiko Katsuyama, Kazunobu Yamauchi
Journal of Information Processing Society of Japan   51(2) 334-345   Feb 2010   [Refereed]
Kazuto Kuzuu, Yasushi Hirano, Kenji Mase, Toyohide Watanabe
Jounal of networks   4(8) 711-719   Jan 2009   [Refereed]
Application to a Shared Terminal of a Roaming User Profile set up through LDAP-Smart Card Authentication Cooperation
Kazuto Kuzuu, Yasushi Hirano, Kenji Mase, Toyohide Watanabe
IEICE Trans   J92-D(1) 39-50   Jan 2009   [Refereed]
Recipe recommendation method based on personal use history of foodstuff to reflect personal preference
Mayumi Ueda, Kazuyuki Ishihara, Yasushi Hirano, Shoji Kajita, Kenji Mase
DBSJ Letters   6(4) 29-32   Mar 2008   [Refereed]
Distant Attention Communication with Humanoid Robot
Tomoyuki Morita, Kenji Mase, Yasushi Hirano, Shoji Kajita, Takeshi Okadome
Journal of Information Processing Society of Japan   48(12) 3849-3858   Dec 2007   [Refereed]
CAS and Its Extension as an Unified Authentication and Authorization Information Infrastructure for Institutions
Hisashi Naito, Shoji Kajita, Tomoko Kojiri, Yasushi Hirano, Kenji Mase
Journal of Information Processing Society of Japan   47(4) 1127-1135   Apr 2006   [Refereed]
Methods for Estimation of Spine Posture and Analysis of Physical Force Working on Vertebrae Based on Statics and Monocular Image Sequence Analysis
Daisuke Furukawa, Takayuki Kitasaka, Kensaku Mori, Yasushito Suenaga, Yasushi Hirano, Kenji Mase, Tomoichi Takahashi
Journal of Japan Society of Computer Aided Surgery   7(4) 547-557   Mar 2006   [Refereed]
A Method for Mining Patterns from Multimodal Interaction Lo
Tomoyuki Morita, Yasushi Hirano, Yasuyuki Sumi, Shoji Kajita, Kenji Mase, Norihiro Hagita
Journal of Information Processing Society of Japan   47(1) 121-130   Jan 2006   [Refereed]
Yasushi Hirano, Junichi Hasegawa, Junichiro Toriwaki, Hironobu Ohmatsu, and Kenji Eguchi
Systems and Computers in Japan   36(8) 90-101   Jul 2005   [Refereed]
Kazuto Miyashita, Yasushi Hirano, Yoshito Mekada, Hiroshi Murase, Jun-ichi Hasegawa, and Jun-ichiro Toriwaki
Medical Imaging Technology   23(3) 161-171   May 2005   [Refereed]
Kimiko Katsuyama, Yuichi Koyama, Yasushi Hirano, Kenji Mase, Kazunobu Yamauchi
Japan journal of medical informatics   24(6) 579-587   Jun 2004   [Refereed]
Interactive Method to Extract tumor Regions from Chest X-Ray CT Images and Its Application to Benign/Malignant Discrimination
Yasushi HIRANO, Jun-ichi HASEGAWA and Jun-ichiro TORIWAKI
IEICE Trans   J87-D-II(1) 237-247   Jan 2004   [Refereed]
Yasushi Hirano, Kazuhiro Kunimitsu, Jun-ichi Hasegawa, and Jun-ichiro Toriwaki
Trans on Coomputer-Aided Diagnosis   7(3) 19-28   Jul 2003   [Refereed]
Quantification of the Spatial Distribution of Line Segments with Applications to CAD of Chest X-ray CT Images
Yasushi Hirano, Yoshito Mekada, Jun-ichi Hasegawa, and Jun-ichiro Toriwaki
Geometory, Morphology, and Computational Imaging(LNCS2616)   22-38   May 2003   [Refereed]
Yasushi Hirano, Junichiro Toriwaki
Medical Imaging Technology   20(1) 13-22   Jan 2002   [Refereed]
Yasushi Hirano, Akinobu Shimizu, Jun-ichi Hasegawa, and Jun-ichiro Toriwaki
Systems and Computers in Japan   32(12) 25-37   Nov 2001   [Refereed]
Classification of tumor shadows into the air-containing type or the solid type from chest X-ray CT images and its application to discrimination between benign tumors and malignant tumors
8(3) 201-204   Aug 2001   [Refereed]
Yasushi Hirano, Junichiro Toriwaki
Medical Imaging Technology   19(3) 161-167   May 2001   [Refereed]
A Tracking Algorithm to Extract Ridge Lines for Three Dimensional Gray Images Using Curvature of Four Dimensional Hyper Surface
Yasushi Hirano, Akinobu Shimizu, Junichi Hasegawa, Junichiro Toriwaki
IEICE Trans   J83-D-II(1) 126-136   Jan 2000   [Refereed]
A Concentration Index for Analyzing Three-Dimensional Line Patterns and Its Application to X-ray CT Images
Yoshito MEKADA, Yasushi HIRANO, Jun-ichi HASEGAWA and Jun-ichiro TORIWAKI
Electronics and Communications in Japan   81(7) 7-17   Jul 1998   [Refereed]
Three Dimensional Concentration Index as a Feature of Line Pattern Distribution in Three Dimensional Space
Yasushi HIRANO, Yoshito MEKADA, Jun-ichi HASEGAWA and Jun-ichiro TORIWAKI
FORMA   13(3) 233-245   Mar 1998   [Refereed]
Concentration Index for Analyzing Three Dimensional Line Patterns and Its Application to X-rat CT Images
Yoshito Mekada, Yasushi Hirano, Junichi Hasegawa, Junichiro Toriwaki
IEICE Trans   J80-A(7) 1162-1170   Jul 1997   [Refereed]
Yasushi Hirano, Yoshito Mekada, Junichi Hasegawa, Junichiro Toriwaki, Hironobu Ohmatsu, Kenji Eguchi
Medical Imaging Technology   15(3) 228-236   May 1997   [Refereed]

Misc

 
Parallel programming interface for large scale image processing
95-99   2009
Plug-ins for PLUTO to identify inflammatory nodules in chest CT images
Proceedings of International Forum on Medical Image in Asia(IFMIA) 2009   235-240   2009
Plug-In Modules on PLUTO for Identifying Inflammatory Nodules from Lung Nodules in Chest X-Ray CT Images
Proceedings of International Workshop on Advanced Image Technology(IWAIT) 2009   Paper No.0073   2009
3DAV Integrated System Featuring Arbitrary Listening-point and Viewpoint Generation
Proc. of Multimedia Signal Processing, IEEE MMSP 2008   855-860   2008
Design and Development of the Textile Fashion Coordination System - a communication aid for the customer and the salesclerk in real shop -
The Fourth International Conference on Collaboration Technologies (CollabTech 2008)   151-156   2008

Books etc

 
Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging
HIRANO Yasushi (Part:Joint Work, Categorization of Lung Tumors into Benign/Malignant, Solid/GGO and Typical Benign/Others)
Springer International Publishing AG   Jan 2018   
Basic Principles of Computer-Assisted Diagnosis and Therapy
Hidekata Hontani, Yasushi Hirano, Xiao Dong, Akinobu Shimizu, and Shouhei Hanaoka
Springer Japan KK   Jun 2017   
Quantification of the Spatial Distribution of Line Segments with Applications to CAD of Chest X-ray CT Images
T.Asano, R.Klette and C.Ronse(eds.), Geometory, Morphology, and Computational Imaging(LNCS2616)   2003   

Teaching Experience

 
 

Research Grants & Projects

 
Computer aided discrimination between benign and malignant nodule Shadows in Chest X-ray CT images
Thinning algorithm for three-demensional grey images