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J-GLOBAL ID：201201041266621320   Update date: Oct. 13, 2024

XIAOYONG ZHANG

チヨウ ギヨウユウ | XIAOYONG ZHANG
Affiliation and department：
Sendai National College of Technology Department of General Engineering

About Sendai National College of Technology Department of General Engineering


Other affiliations (1)：
Research field  (3)： Control and systems engineering ,  Intelligent informatics ,  Medical systems
Research keywords  (7)： Artificial Intelligence ,  放射線治療 ,  医用画像工学 ,  画像処理 ,  Radiation Therapy ,  Medical Image Processing ,  Digital Image Processing
Research theme for competitive and other funds  (5)：
  • 2020 - 2023 Toward New-Generation AI-Based CAD System: Development of Interpretable Deep Learning-Based CAD System for Breast Cancer Diagnosis Using Mammogram
  • 2017 - 2020 Development of High-Accuracy Tumor Tracking Systems for Next-Generation Radi ation Therapy Technology
  • 2014 - 2017 Development of a next-generation mammography CAD system by using diagnostic logic extraction from bigdata
  • 2015 - 2017 Toward the World's First Tumor-Following Radiation Therapy Technique: Development of High-Accuracy Tumor Tracking System
  • 2014 - 2015 Toward the World's First Tumor-Following Radiation Therapy Technique: Development of High-Accuracy Tumor Tracking System
Papers (30)：
  • Zhang Zhang, Xiaoyong Zhang, Taihei Mizuno, Kei Ichiji, Noriyasu Homma. Attention Optimization in AI-Aided Drowning Diagnosis Using Post-Mortem CT to Mitigate Overfitting with Limited Training Data. 2024 International Joint Conference on Neural Networks (IJCNN). 2024. 32. 1-6
  • Yuwen Zeng, Xiaoyong Zhang, Kei Ichiji, Noriyasu Homma. Integration of Classification and Segmentation for Computer-Aided Diagnosis System of Drowning. 2024 International Joint Conference on Neural Networks (IJCNN). 2024. 1-7
  • Yuwen Zeng, Xiaoyong Zhang, Jiaoyang Wang, Akihito Usui, Kei Ichiji, Ivo Bukovsky, Shuoyan Chou, Masato Funayama, Noriyasu Homma. Inconsistency between Human Observation and Deep Learning Models: Assessing Validity of Postmortem Computed Tomography Diagnosis of Drowning. Journal of imaging informatics in medicine (5-year IF = 4.2 ). 2024
  • Zhang Zhang, Xiaoyong Zhang, Kei Ichiji, Ivo Bukovský, Noriyasu Homma. How intra-source imbalanced datasets impact the performance of deep learning for COVID-19 diagnosis using chest X-ray images. Scientific Reports (2-year IF=3.8). 2023. 13. 1
  • Zhang Zhang, Xiaoyong Zhang, Jiaqi Chen, Yumi Takane, Satoru Yanagaki, Naoko Mori, Kei Ichiji, Katsuaki Kato, Mika Yanagaki, Akiko Ebata, et al. Risk Analysis of Breast Cancer by Using Bilateral Mammographic Density Differences: A Case-Control Study. The Tohoku Journal of Experimental Medicine (5-year IF=1.8). 2023. 261. 2. 139-150
ｍore...
MISC (43)：
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Patents (1)：
Education (2)：
  • 2008 - 2011 Tohoku University
  • 2004 - 2007 貴州大学(中国) 電気工学研究科
Professional career (1)：
  • Doctor of Engineering (Tohoku University)
Work history (6)：
  • 2020/11 - 現在 仙台高等専門学校 総合工学科 准教授
  • 2017/04 - 現在 Tohoku University Graduate School of Medicine
  • 2020/10 - 2023/07 Tohoku University Institute of Development, Aging and Cancer
  • 2017/04 - 2020/10 Sendai National College of Technology Department of General Engineering
  • 2015/11 - 2017/04 Tohoku University
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Committee career (3)：
  • 2020/04 - 2022/03 The Society of Instrument and Control Engineering, Tohoku Chapter Public relations secretary
  • 2017/04 - 2020/03 The Society of Instrument and Control Engineering, Tohoku Chapter Professional secretary
  • 2014/09 - 2015/10 the 25th Symposium on Fuzzy, Artificial intelligence, Neural network, and Computational Intelligence Member of Executive Committee
Awards (17)：
  • 2024/02 - 公益財団法人 トーキン科学技術振興財団 トーキン財団研究奨励賞 診断根拠提示型AIによる医用画像の支援診断システムの開発
  • 2023/12 - IEEE Sendai section The Best Paper Prize, 2023 IEEE Sendai Section Reliability investigation of deep learning when using imbalanced chest X-ray image sources for COVID-19 detection
  • 2023/04 - 日本ディープラーニング協会 DCON実行委員会 DCON 2023 Final list ディープラーニングによる画像解析を使った路面調査システム
  • 2021/12 - IEEE Sendai section The Best Paper Prize, 2021 IEEE Sendai Section An Interpretable Deep Learning Method for Forensic Diagnosis of Drowning
  • 2021/11 - 一般財団法人石田實記念財団 研究奨励賞 根拠提示型AIによる医用画像診断支援システムの開発に関する研究
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Association Membership(s) (3)：
電子情報通信学会 ,  IEEE (Senior Member) ,  IEICE
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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