Rchr
J-GLOBAL ID:201601006000508170   Update date: Sep. 25, 2024

Ichiji Kei

イチジ ケイ | Ichiji Kei
Affiliation and department:
Job title: Lecturer
Research field  (2): Radiology ,  Medical systems
Research keywords  (4): Radiation therapy ,  Biomedical intelligent system ,  Biomedical signal processing ,  Time series prediction
Research theme for competitive and other funds  (9):
  • 2024 - 2027 データ同化技法で拓く適応照射のための2D-X線透視像からの実時間的3D体内動態の推定
  • 2023 - 2026 深層強化学習による真の“人工知能型”自動放射線照射計画法の開発
  • 2021 - 2025 イメージプレチスモグラムによる血管状態推定を用いた動脈紋認証に関する基礎的研究
  • 2021 - 2025 イメージプレチスモグラムによる血管状態推定を用いた動脈紋認証に関する基礎的研究
  • 2019 - 2022 Development of radiomics-based pulmonary ventilation imaging
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Papers (29):
  • 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. 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. 2023. 13. 1
  • Ivo Bukovsky, Gejza Dohnal, Peter M. Benes, Kei Ichiji, Noriyasu Homma. Letter on Convergence of In-Parameter-Linear Nonlinear Neural Architectures With Gradient Learnings. IEEE Transactions on Neural Networks and Learning Systems. 2023. 34. 8. 5189-5192
  • Xue Li, Chiaki Ono, Noriko Warita, Tomoka Shoji, Takashi Nakagawa, Hitomi Usukura, Zhiqian Yu, Yuta Takahashi, Kei Ichiji, Norihiro Sugita, et al. Comprehensive evaluation of machine learning algorithms for predicting sleep-wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate variability. Frontiers in Psychiatry. 2023. 14
  • Yuwen Zeng, Xiaoyong Zhang, Yusuke Kawasumi, Akihito Usui, Kei Ichiji, Masato Funayama, Noriyasu Homma. A 2.5D Deep Learning-Based Method for Drowning Diagnosis Using Post-Mortem Computed Tomography. IEEE Journal of Biomedical and Health Informatics. 2023. 27. 2. 1026-1035
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MISC (55):
  • 梅原優佑, 杉田典大, 市地慶, 本間経康. Indoor localization by passively using Bluetooth radio waves without wearing a device. 電子情報通信学会大会講演論文集(CD-ROM). 2023. 2023
  • 水野泰平, ZHANG X., ZHANG X., 市地慶, 杉田典大, 本間経康. Saliency Map Visualization of Deep Learning for Alzheimer’s Disease Diagnosis Using PET Images. インテリジェント・システム・シンポジウム(CD-ROM). 2022. 30th
  • 篠原匠, 市地慶, ZHANG X., ZHANG X., 杉田典大, 本間経康. Estimation of organ motion from X-ray image sequences using particle filter for lung cancer radiotherpy. インテリジェント・システム・シンポジウム(CD-ROM). 2022. 30th
  • Noriyasu Homma, Xiaoyong Zhang, Amber Qureshi, Takuya Konno, Yusuke Kawasumi, Akihito Usui, Masato Funayama, Ivo Bukovsky, Kei Ichiji, Norihiro Sugita, et al. A Deep Learning Aided Drowning Diagnosis for Forensic Investigations using Post-Mortem Lung CT Images. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2020
  • Norihiro Sugita, Tomoya Matsuzaki, Makoto Yoshizawa, Kei Ichiji, Shunsuke Yamaki, Noriyasu Homma. Comparison of Visible and Infrared Video Plethysmography Captured from Different Regions of the Human Face. 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2020
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Patents (7):
Books (1):
  • Frontiers in Radiation Oncology
    InTech 2013 ISBN:9789535111634
Lectures and oral presentations  (112):
  • 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)
  • Integration of Classification and Segmentation for Computer-Aided Diagnosis System of Drowning
    (2024 International Joint Conference on Neural Networks (IJCNN) 2024)
  • Computational Intelligence Methods for Advancing Radiation Therapy Systems in Cancer Treatment
    (UniMAP WEBINAR, Center of Excellence (COE) of Sports Engineering Research Center (SERC), Faculty of Electronic Engineering and Technology, Universiti Malaysia Perlis 2023)
  • Performance Improvement of Deep Learning Model Using Saliency Maps: A Case Study on Drowning Diagnosis Using PMCT
    (インテリジェント・システム・シンポジウム(CD-ROM) 2023)
  • Time-varying state-space time series model for prediction of lung tumor motion during radiotherapy
    (インテリジェント・システム・シンポジウム(CD-ROM) 2023)
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Professional career (4):
  • Ph D. in Engineering (Tohoku University)
  • Master's degree in Engineering (Tohoku University)
  • Bachelor's degree in Engineering (National Institution for Academic Degrees and Quality Enhancement of Higher Education)
  • Foundation degree (Tokyo Metropolitan College of Technology)
Committee career (6):
  • 2020/01 - 現在 The Society of Instrument and Control Engineers, Tohoku Chapter Member of Technical Committee
  • 2018/01 - 2019/12 計測自動制御学会東北支部 会計幹事
  • 2019/12 - Executive Committee of SICE Tohoku chapter 55-year celebration symposium Treasurer
  • 2017/12 - 2018/10 日本バーチャルリアリティ学会 第 23 回大会実行委員会 総務(兼副幹事)
  • 2014/09 - 2015/10 第25回インテリジェント・システム・シンポジウム(FAN2015)実行委員会 実行委員
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Awards (13):
  • 2023/09 - FAN2023 in Fukuoka Best Paper Award Performance improvement on deep-learning model-based lung tumor motion prediction by respiratory motion data augmentation for radiotherapy
  • 2021/09 - Steering Committee on FAN symposium FAN 2021 Online Best Paper Award Performance improvement of tumor image estimation in X-ray fluoroscopic images by interpolating and extrapolating 4DCT data
  • 2020/11 - SSI Excellent Paper Award
  • 2018/09 - FAN運営委員会 第28回インテリジェント・システム・シンポジウム(FAN2018) 最優秀論文賞 マーカレス腫瘍追跡のための隠れマルコフモデルを用いたX線動画像からの物体輝度抽出
  • 2017/11 - 計測自動制御学会 システム・情報部門 2017年システム・情報部門 SSI優秀論文賞 肺がん放射線治療のためX線動画像中の標的腫瘍のアフィン変換に基づく追跡法
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Association Membership(s) (4):
IEEE Computational Intelligence Society ,  IEEE Engineering in Medicine and Biology Society ,  American Association of Physicists in Medicine ,  The Society of Instrument and Control Engineers
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