Researcher Database

（Last updated : 2024-04-18 21:58:02）

HIZUKURI AKIYOSHI

Department / Course College of Science and Engineering Department of Electronic and Computer Engineering

Title / Position Lecturer

Other Affiliations
1.	Graduate School of Science and Engineering

Academic background
1.	2014/03 Degree Acquisition	│ Mie University Doctor of Engineering
2.	～2009/03	Department of Electrical and Electronic Engineering │ Faculty of Engineering │ Mie University │ Graduated
3.	～2011/03	Doctoral Program (1st Semester) │ Division of Electrical and Electronic Engineering │ Graduate School of Engineering │ Mie University │ Completed
4.	～2014/03	Doctoral Program (2nd Semester) │ Division of Systems Engineering │ Graduate School of Engineering │ Mie University │ Completed

Business career
1.	2023/04/01 ～	Lecturer │ Department of Electronic and Computer Engineering │ Ritsumeikan University
2.	2018/04/01 ～ 2023/03/31	Assistant Professor │ Department of Electronic and Computer Engineering │ Ritsumeikan University
3.	2014/04/01 ～ 2018/03/31	│ │ Mizuho Information & Research Institute,INC.

Committee and society
1.	2023/04/01 ～	International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT) Local Arrangement Chair
2.	2019/04/01 ～	ICIPRob (International Conference on Image Processing and Robotics) International Program Committee

Research activities
1.	2011/04 ～	The Institute of Electronics, Information and Communication Engineers
2.	2010/04 ～	The Institute of Electrical Engineers of Japan
3.	2018/07 ～	The Japanese Society of Medical Imaging Technology
4.	2019/04 ～	Japan Society of Medical Physics
5.	2015/08 ～	Technical Committee on Industrial Application of Image Processing

Present specialized field
Perceptual information processing, Intelligent informatics, Soft computing, Life/Health/Medical informatics, Medical systems (Keyword：machine learning, deep learning, image processing, medical image analysis)

Papers
1.	2023/10	Semantic Face Segmentation Using Convolutional Neural Networks with a Supervised Attention Module │ IEEE Access │ 11,pp.116892-116902 (Co-authored)
2.	2022/06	Computerized Classification Method for 1p/19q Codeletion in Low Grade Gliomas from Brain MRI Images Using Three Dimensional Radiomics Features │ Journal of the Institute of Image Electronics Engineers of Japan (IIEEJ) │ 10 (1),pp.120-126 (Co-authored)
3.	2022/06	Tooth detection for each tooth type by application of faster R-CNNs to divided analysis areas of dental panoramic X-ray images │ Radiological Physics and Technology │ 15 (2),pp.170-176 (Co-authored)
4.	2021/03	Segmentation of Teeth in Panoramic Dental X-ray Images Using U-Net with a Loss Function Weighted on the Tooth Edge │ Radiological Physics and Technology │ 14 (1),pp.64-69 (Co-authored)
5.	2020/04	Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural Network │ Journal of Digital Imaging │ 33 (2),pp.497-503 (Co-authored)
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Academic conference presentation
1.	2023/01	Computerized Classification Method for Molecular Subtypes of Low-Grade Glioma in Brain MRI Images Using 3D-Attention Branch Networks with Additive Angular Margin Penalty (Proc. International Workshop on Advanced Image Technology (IWAIT))
2.	2022/12	Anomaly Detection for Lung CT image Using Efficient GAN with Learning Stabilizations (Proc. Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS2022))
3.	2022/12	Semantic Segmentation Method for Tooth Type with Data Augmentation Using Alpha-Blending (Proc. Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS2022))
4.	2022/10	Anomaly Detection for Lung CT Images Using SVDD-AE (Proc. IEEE 11th Global Conference on Consumer Electronics (GCCE))
5.	2020/05/22	Computerized classification scheme for distinguishing between benign and malignant masses by analyzing multiple MRI sequences with convolutional neural network (Proc. SPIE 11513, 15th International Workshop on Breast Imaging (IWBI2020))
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Winning science prize
1.	2018/07	Asia Pacific Society for Computing and Information Technology Outstanding Research Achievement and Contribution
2.	2012/10	Fourth International Workshop on Regional Innovation Studies - Biomedical Engineering - Outstanding Paper Award (Computer-aided Diagnosis Scheme for Determining Histological Classification of Breast Masses using Clinical Features and Texture Features)

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