HIRANO Yasushi

J-GLOBAL         Last updated: Dec 3, 2018 at 11:36
HIRANO Yasushi
Yamaguchi University
Graduate School of Sciences and Technology for Innovation
Job title
Associate Professor,Others,Others,Others
Ph.D(Nagoya University), MEng, BEng
Research funding number

Research Areas


Academic & Professional Experience

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


Department of Information Engineering, Graduate School, Division of Engineering, Nagoya University
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
Best Paper Award (IEEE MMSP 2008)

Published Papers

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]
Tamotsu Kawamura, Masaru Fukushi, Yasushi Hirano, Yusuke Fujita and Yoshihiko Hamamoto
Proceedings of 2017 IEEE International Conference on Consumer Electronics      Jun 2017   [Refereed]


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


Association Memberships


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