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J-GLOBAL ID：201601006000508170 Update date: Apr. 14, 2025

Ichiji Kei

イチジケイ | Ichiji Kei

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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 (31)：

Jan Vrba, Jakub Steinbach, Tomáš Jirsa, Laura Verde, Roberta De Fazio, Yuwen Zeng, Kei Ichiji, Lukáš Hájek, Zuzana Sedláková, Zuzana Urbániová, et al. Reproducible Machine Learning-Based Voice Pathology Detection: Introducing the Pitch Difference Feature. Journal of voice : official journal of the Voice Foundation. 2025
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

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MISC (57)：

Tianyu Zeng, Zhang Zhang, Yuwen Zeng, Xiaoyong Zhang, Kei Ichiji, Noriyasu Homma. Vision Transformer-Based Breast Mass Diagnosis in Mammography Using Bilateral Information. 2024 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET). 2024. 147-152
石井万結, 市地慶, 淡路樹, 篠原唯, ZHANG Xiaoyong, 本間経康. Performance improvement on deep-learning model-based lung tumor motion prediction by respiratory motion data augmentation for radiotherapy. インテリジェント・システム・シンポジウム(CD-ROM). 2023. 31st
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

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Patents (7)：

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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

2015/11 - 計測自動制御学会システム・情報部門 2015年システム・情報部門 SSI研究奨励賞市地慶, 本間経康, 張曉勇, 武田賢, 髙井良尋, 杉田典大, 吉澤誠,``呼吸性移動時系列の最大リャプノフ指数推定に基づく予測可能性の検討,’’ GS4-12, SY0010/15/0000-0175, pp. 175-179, 計測自動制御学会システム・情報部門学術講演会2015(SSI2015), 北海道函館市函館アリーナ, Nov. 20, 2015.

2014/09 - 電気学会平成25年電気学会優秀論文発表A賞市地慶,本間経康,張曉勇,成田雄一郎,髙井良尋,阿部誠,杉田典大,吉澤誠: 呼吸性位置変動時系列予測の性能改善のための知的モデル化の試み,第23回インテリジェント・システム・シンポジウム FAN2013,ST-13-045,pp. 80-85,福岡市,2013年9月

2014/01 - 電気学会電子・情報・技術部門平成25年電子・情報・技術部門技術委員会奨励賞市地慶,本間経康,張曉勇,成田雄一郎,髙井良尋,阿部誠,杉田典大,吉澤誠: 呼吸性位置変動時系列予測の性能改善のための知的モデル化の試み,第23回インテリジェント・システム・シンポジウム FAN2013,ST-13-045,pp. 80-85,福岡市,2013年9月

2013/09 - FANシンポジウム運営委員会第23回インテリジェント・システム・シンポジウムFAN2013 プレゼンテーション賞市地慶,本間経康,張曉勇,成田雄一郎,髙井良尋,阿部誠,杉田典大,吉澤誠: 呼吸性位置変動時系列予測の性能改善のための知的モデル化の試み,第23回インテリジェント・システム・シンポジウム FAN2013,ST-13-045,pp. 80-85,福岡市,2013年9月

2010/07 - American Association of Physicists in Medicine AAPM 52nd Annual Meeting, John R. Cameron Young Investigator Competition Finalists K. Ichiji, M. Sakai, N. Homma, Y. Takai, M. Yoshizawa, “Adaptive Seasonal Autoregressive Model Based Intrafractional Lung Tumor Motion Prediction for Continuously Irradiation,” American Association of Physicists in Medicine 52nd Annual Meeting, Med. Phys.

2010/02 - 計測自動制御学会 2009年度計測自動制御学会学術奨励賞研究奨励賞市地慶, 酒井正夫, 本間経康, 髙井良尋, 吉澤誠, 竹田宏: 放射線治療のための肺腫瘍位置変動の周期ダイナミクス予測に関する一考察, 計測自動制御学会東北支部45周年記念学術講演会, 盛岡市, 2009年9月

2010/02 - SICE Artificial Life Systems Technical Committee SICE Artificial Life Systems Technical Committee Student Paper Award K. Ichiji, M. Sakai, N. Homma, Y. Takai, M. Yoshizawa, “A Time Variant Seasonal ARIMA Model for Lung Tumor Motion Prediction,” 15th Int’l Symposium on Artificial Life and Robotics (AROB2010), OS22-4, pp.485-488, Beppu, Japan, Feb. 2010

2009/09 - 計測自動制御学会東北支部計測自動制御学会東北支部優秀発表奨励賞市地慶, 酒井正夫, 本間経康, 髙井良尋, 吉澤誠, 竹田宏: 放射線治療のための肺腫瘍位置変動の周期ダイナミクス予測に関する一考察, 計測自動制御学会東北支部45周年記念学術講演会, 盛岡市, 2009年9月

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Association Membership(s) (5)：

Japanese Society of Radiological Technology , IEEE Computational Intelligence Society , IEEE Engineering in Medicine and Biology Society , American Association of Physicists in Medicine , The Society of Instrument and Control Engineers

※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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