Personnel Information

写真a

ZHU XIN


Job title

Professor

Research Areas, Keywords

Artificial Intelligence, Medical Image Processing, Medical Signal Processing

Field Introduction URL

https://dsc.iir.isct.ac.jp/en/home/

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Graduating School 【 display / non-display 】

  • Tianjin University, College of Precision Instrumentation and Optical Engineering, Biomedical Engineering, 2000.06, Graduated

  • Tianjin University, College of Social Science and Foreign Languages, Engineering, 2000.06, Graduated

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Graduate School 【 display / non-display 】

  • Graduate School, Tianjin University, Biomedical Engineering, Biomedical Engineering, Master's Course, 2002.06, Completed

  • The University of Aizu, Graduate Department of Computer Science and Engineering, Computer Science and Engineering, Doctor's Course, 2006.09, Completed

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Campus Career 【 display / non-display 】

  • 2024.09
    　
    　
    Tokyo Medical and Dental University， M&D Data Science Center， Division of AI and Big Data Research， Department of AI Technology Development， Professor
  • 2024.10
    -
    Now
    Institute of Science Tokyo， -， Institute of Integrated Research， Division of AI and Big Data Research， Department of AI Technology Development， Professor
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External Career 【 display / non-display 】

  • 2009.04
    -
    2015.03
    , Associate Professor
  • 2015.04
    -
    2024.08
    The University of Aizu, Division of Information Systems, Senior Associate Professor
  • 2024.09
    　
    　
    Tokyo Medical and Dental University, M&D Data Science Center, Professor
  • 2024.10
    -
    Now
    Institute of Science Tokyo, M&D Data Science Center, Institute of Integrated Research, Professor
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Academic Society Affiliations 【 display / non-display 】

  • IEEE

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Research Areas 【 display / non-display 】

  • Life, health and medical informatics

  • Biomaterials

  • Biomedical engineering

  • Biomedical engineering

  • Medical systems

  • Medical technology assessment

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Research Theme 【 display / non-display 】

  • The Construction of A Prognostic Model for Heart Failure in Deep Learning, 2021.04 - 2024.03

  • Study on ECG automatic analysis technology and its clinical usefulness based on artificial intelligence and cardiac simulation, 2018.04 - 2021.03

  • DETECTION OF SESSILE SERRATED ADENOMA/POLYPS USING CONVOLUTIONAL NEURAL NETWORK, 2018.04 - 2021.03

  • Multi-hierarchical analysis of the role of TRPM4 subfamily members in cardiac atrial arrhythmogenicity, 2015.04 - 2019.03

  • Development of ECG Lead System to Estimate Respiration for OSAS Detection, 2015.04 - 2018.03

  • Development of ECG Lead System to Estimate Respiration for OSAS Detection, 2015.04 - 2018.03

  • Development of ECG Lead System to Estimate Respiration for OSAS Detection, 2015.04 - 2018.03

  • Development of ECG Lead System to Estimate Respiration for OSAS Detection, 2015.04 - 2018.03

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Published Papers & Misc 【 display / non-display 】

  1. Yiyang Liu, Boyuan Peng, Qin Zhou, Suzhen Yuan, Wei Yan, Li Fang, Jingjing Jiang, Shixuan Wang, Xin Zhu, Wenwen Wang. EndoUSScan: Keyframe detection in transvaginal ultrasound imaging for measuring endometrial thickness Computer Methods and Programs in Biomedicine. 2025.11; 271 108957. ( PubMed, DOI )

  2. Xue Zhou, Tianhui Li, Hiromasa Hayama, Keijiro Nakamura, Shing-Hong Liu, Wenxi Chen, Xin Zhu. Diagnosis of cardiac conditions from 12-lead electrocardiogram through natural language supervision. NPJ digital medicine. 2025.11; 8 (1): 697. ( PubMed, DOI )

  3. Yohei Sanmoto, Ruiyao Zhang, Boyuan Peng, Takahiro Hosokawa, Yasuhiro Kondo, Mikihiro Inoue, Yayoi Miyazono, Xin Zhu, Kouji Masumoto. Computer-Aided Diagnosis of Pneumoperitoneum on Neonatal Abdominal Radiographs. Neonatology. 2025.11; 1-9. ( PubMed, DOI )

  4. Wenwen Wang, Yuyang Cai, Zhe Guo, Aihua Zhao, Wenqing Ma, Wuliang Wang, Shixuan Wang, Xin Zhu, Xin Du, Wenfeng Shen. A deep learning-based computer-aided diagnosis system for detecting atypical endometrial hyperplasia and endometrial cancer through hysteroscopy iScience. 2025.08; 28 (8): 113045. ( PubMed, DOI )

  5. Xue Zhou, Suzhen Yuan, Tianhui Li, Tuao Zhang, Wenwen Wang, Xin Zhu. Survival guided adaptive clustering enhances mortality risk stratification and radiotherapy guidance in early stage uterine sarcoma. Scientific reports. 2025.07; 15 (1): 27055. ( PubMed, DOI )

  6. Ryota Watanabe, Jahidul Islam, Xin Zhu, Emiko Kaneko, Ken Iseki, Lei Jing. Chest Compression Skill Evaluation System Using Pose Estimation and Web-Based Application Applied Sciences. 2025.07; 15 (15): 8252. ( DOI )

  7. Jingmin Luan, Zehao Wei, Qiyang Li, Jian Liu, Yao Yu, Dongni Yang, Jia Sun, Nan Lu, Xin Zhu, Zhenhe Ma. Large Vessel Segmentation and Microvasculature Quantification Based on Dual-Stream Learning in Optic Disc OCTA Images Photonics. 2025.06; 12 (6): 588. ( DOI )

  8. Shing-Hong Liu, Alok Kumar Sharma, Bo-Yan Wu, Xin Zhu, Chun-Ju Chang, Jia-Jung Wang. Estimating gait parameters from sEMG signals using machine learning techniques under different power capacity of muscle. Scientific reports. 2025.04; 15 (1): 12575. ( PubMed, DOI )

  9. Shing-Hong Liu, Yao Sun, Bo-Yan Wu, Wenxi Chen, Xin Zhu. Using machine learning models for cuffless blood pressure estimation with ballistocardiogram and impedance plethysmogram FRONTIERS IN DIGITAL HEALTH. 2025.02; 7 1511667. ( PubMed, DOI )

  10. Ruiyao Zhang, Boyuan Peng, Yiyang Liu, Xinkai Liu, Jie Huang, Kohei Suzuki, Yuki Nakajima, Daiki Nemoto, Kazutomo Togashi, Xin Zhu. Localization of Capsule Endoscope in Alimentary Tract by Computer-Aided Analysis of Endoscopic Images Sensors. 2025.01; 25 (3): ( PubMed, DOI )

  11. Differences in regions of interest to identify deeply invasive colorectal cancers: Computer-aided diagnosis vs expert endoscopists. 2024.11; 12 (11): E1260-E1266. ( PubMed, DOI )

  12. Ruiyao Zhang; Naohisa Yoshida; Osamu Dohi; Boyuan Peng; Xinkai Liu; Jie Huang; Xin Zhu. ARBS-YOLOv8 for Annotation Box Detection in Colonoscopy CADe Systems Proc. of 2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom). 2024.11; ( DOI )

  13. Tuao Zhang; Suzhen Yuan; Xue Zhou; Wenwen Wang; Xin Zhu. Prognostic Phenotype Clustering of Uterine Sarcoma Patients Proc. of 2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom). 2024.11; ( DOI )

  14. Boyuan Peng; Yiyang Liu; Xin Zhu; Jie Huang; Wenwen Wang; Li Fang. Multi-StudentNet: a Semi-supervised Deep-Learning Framework for Endometrial Segmentation in Transvaginal Ultrasound Images Proc. of 2024 IEEE International Conference on E-health Networking, Application & Services (HealthCom). 2024.11; ( DOI )

  15. Incremental Learning with Pseudo Labels for Enhanced Glomeruli Segmentation Using SAM. 2024.11; 1-6. ( DOI )

  16. Learning Representations by Maximizing Mutual Information Across Views for Medical Image Segmentation 2024.10; 15011 383-393. ( DOI )

  17. YUKI IIJIMA, XIN ZHU, LEI JING, YAN PEI, YUMIKO KANEKO, KEN ISEKI. Chest Compression Evaluation based on Pose Estimation WSEAS TRANSACTIONS on BIOLOGY and BIOMEDICINE. 2024.10; 21 323-330. ( DOI )

  18. Li Q, Zhu X, Chen W. Parallelization of Three Dimensional Cardiac Simulation on GPU Biomedicines. 2024.09; 12 (9): ( PubMed, DOI )

  19. Linked color imaging with artificial intelligence improves the detection of early gastric cancer. 2024.08; 1-9. ( PubMed, DOI )

  20. Bidirectional Copy-Paste Mamba for Enhanced Semi-Supervised Segmentation of Transvaginal Uterine Ultrasound Images. 2024.07; 14 (13): ( PubMed, DOI )

  21. Development of high-quality artificial intelligence for computer-aided diagnosis in determining subtypes of colorectal cancer. 2024.06; ( PubMed, DOI )

  22. Non-polypoid Colorectal Lesions Detection and False Positive Detection by Artificial Intelligence under Blue Laser Imaging and Linked Color Imaging. 2024; 8 (3): 212-220. ( PubMed, DOI )

  23. 中村啓二郎, 孫堯, 原英彦, 諸井雅男, 朱欣. 異なるベースラインインピーダンス下の低電力および長期バイポーラ高周波アブレーションの計算機シミュレーション【JST機械翻訳】||| 日本循環器学会学術集会(Web). 2024; 88th 104226. ( PubMed, DOI )

  24. BAT: BEHAVIOR-AWARE TEMPORAL CONTRASTIVE VIDEO REPRESENTATION LEARNING 2024; 1-5. ( DOI )

  25. Detailed Superiority of the CAD EYE Artificial Intelligence System over Endoscopists for Lesion Detection and Characterization Using Unique Movie Sets. 2024; 8 (2): 61-69. ( PubMed, DOI )

  26. Evaluation of lesion characteristics and baseline impedance on high-power short-duration radiofrequency catheter ablation using computer simulation. 2023.12; 38 (12): 1459-1467. ( PubMed, DOI )

  27. Computer-Aided Diagnosis of Early-Stage Colorectal Cancer Using Non-Magnified Endoscopic White Light Images. 2023.02; ( PubMed, DOI )

  28. A training pipeline of an arrhythmia classifier for atrial fibrillation detection using Photoplethysmography signal. 2023; 14 1084837. ( PubMed, DOI )

  29. Expert-level aspiration and penetration detection during flexible endoscopic evaluation of swallowing with artificial intelligence-assisted diagnosis. 2022.12; 12 (1): 21689. ( PubMed, DOI )

  30. Sleep Staging Framework with Physiologically Harmonized Sub-Networks. 2022.11; 209 18-28. ( PubMed, DOI )

  31. Estimation of Left Ventricular Ejection Fraction Using Cardiovascular Hemodynamic Parameters and Pulse Morphological Characteristics with Machine Learning Algorithms. 2022.09; 14 (19): ( PubMed, DOI )

  32. Computer-aided diagnosis of serrated colorectal lesions using non-magnified white-light endoscopic images. 2022.08; 37 (8): 1875-1884. ( PubMed, DOI )

  33. Spectral interference contrast based non-contact photoacoustic microscopy realized by SDOCT. 2022.06; 47 (11): 2895-2898. ( PubMed, DOI )

  34. Exploring and Identifying Prognostic Phenotypes of Patients with Heart Failure Guided by Explainable Machine Learning 2022.05; 12 (6): 776. ( PubMed, DOI )

  35. Automated retinal boundary segmentation of optical coherence tomography images using an improved Canny operator. 2022.01; 12 (1): 1412. ( PubMed, DOI )

  36. Automatic Measurement of Endometrial Thickness From Transvaginal Ultrasound Images. 2022; 10 853845. ( PubMed, DOI )

  37. Prediction of Endometrial Carcinoma Using the Combination of Electronic Health Records and an Ensemble Machine Learning Method. 2022; 9 851890. ( PubMed, DOI )

  38. An analysis about the function of a new artificial intelligence, CAD EYE with the lesion recognition and diagnosis for colorectal polyps in clinical practice. 2021.10; 36 (10): 2237-2245. ( PubMed, DOI )

  39. Deep Learning-Based Recurrence Prediction of Atrial Fibrillation After Catheter Ablation. 2021.10; 86 (2): 299-308. ( PubMed, DOI )

  40. Electrocardiogram Quality Assessment with a Generalized Deep Learning Model Assisted by Conditional Generative Adversarial Networks 2021.09; 11 (10): ( PubMed, DOI )

  41. Theoretical Investigation of the Mechanism by which A Gain-of-Function Mutation of the TRPM4 Channel Causes Conduction Block 2021.08; 22 (16): 8513. ( PubMed, DOI )

  42. Zhao Peipei, Yang Meng, Zhu Guoliang, Zhao Bo, Wang Hong, Liu Hairong, Wang Xinzhu, Qi Jun, Yin Xin, Yu Lumin, Meng Yiwei, Li Zhipu, Zhang Lixin, Xia Xuekui. モリセリンS～U　Chaetomium brasiliense SD-596から単離した抗MRSA活性を持つ3種類の新規デプシドン類(Mollicellins S-U, three new depsidones from Chaetomium brasiliense SD-596 with anti-MRSA activities) The Journal of Antibiotics. 2021.05; 74 (5): 317-323. ( ichushi )

  43. Femoral marrow MRI is a non-invasive, non-irradiated and useful tool for detecting bone marrow involvement in non-Hodgkin lymphoma. 2021.02; ( PubMed, DOI )

  44. Diagnostic performance of artificial intelligence to identify deeply invasive colorectal cancer on non-magnified plain endoscopic images 2020.10; 08 (10): E1341-E1348. ( PubMed, DOI )

  45. Polyp detection algorithm can detect small polyps: Ex vivo reading test compared with endoscopists. 2020.03; 33 (1): 162-169. ( PubMed, DOI )

  46. 自動体外式除細動器による除細動についてのコンピュータシミュレーションを用いた研究(Study on defibrillation of automatic external defibrillator using computer simulation) 2020.02; 40 (Suppl.2): S-54. ( ichushi )

  47. 非侵襲検査と基礎医学・工学との融合 敵対的生成ネットワークによる心電図雑音評価効果の改善 2020.02; 40 (Suppl.2): S-30. ( ichushi )

  48. 過剰なTRPM4チャネルの活性が伝導速度とAP形状に変化を及ぼす可能性の検討 コンピュータシミュレーション研究(Excessive TRPM4 channel activity may change conduction velocities and AP shapes: a computer simulation study) 2020.02; 40 (Suppl.2): S-52. ( ichushi )

  49. Single-channel ECG suitable for ECG-derived respiration 2019.08; 5 (5): 055002. ( DOI )

  50. 深層学習による心房細動の検出(Detect Atrial Fibrillation Using Deep Learning) 2019.03; 39 (Suppl.1): S-14. ( ichushi )

  51. Premature Ventricular Contraction Detection from Ambulatory ECG Using Recurrent Neural Networks. 2018.07; 2018 2551-2554. ( PubMed, DOI )

  52. Atrial Fibrillation Detection Using Convolutional Neural Networks 2018; 84-89. ( DOI )

  53. ECG Quality Assessment Using 1D-Convolutional Neural Network 2018; 2018-August 780-784. ( DOI )

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Conference Activities & Talks 【 display / non-display 】

  1. Xin Zhu. Medical Image Analysis in Flexible Endoscopic Evaluation of Swallowing. 2024 6th International Conference on Advanced Bioinformatics and Biomedical Engineering 2024.11.29 Kyoto, Japan

  2. 中村 啓二郎, 孫 堯, 原 英彦, 諸井 雅男, 朱 欣. Computer Simulation of Low-Power and Long-Duration Bipolar Radiofrequency Ablation under Different Baseline Impedances(タイトル和訳中). 日本循環器学会学術集会抄録集 2024.03.01

  3. 中村 啓二郎, 朱 欣, 榎本 善成, 原 英彦, 諸井 雅男, 杉 薫, 中村 正人. AIが変える循環器領域　人工知能はリアルワールドデータ解析にとって完全なone-size-fits-allアプローチか(Is Artificial Intelligence Completely One-size-fits-all Approach for Analyzing Real World Data). 日本循環器学会学術集会抄録集 2023.03.01

  4. 中村 啓二郎, 朱 欣, 豊田 康剛, 榎本 善成, 原 英彦, 諸井 雅男, 野呂 眞人, 杉 薫, 中村 正人. ディープラーニングを用いた心不全患者の時変共変量を含む死亡リスク予測(Risk of Mortality Prediction Involving Timevarying Covariates for Patients with Heart Failure Using Deeplearning). 日本循環器学会学術集会抄録集 2023.03.01

  5. 中村 啓二郎, 朱 欣, 高木 高人, 浅見 雅子, 豊田 康豪, 榎本 善成, 飯島 雷輔, 原 英彦, 野呂 眞人, 諸井 雅男, 杉 薫, 中村 正人. 循環器領域における保険診療の課題と対策:技術評価の時代へ(健保対策委員会)　心不全の入院費用予測における深層学習の臨床的影響　DPC Database解析より(The Clinical Impact of Deep Learning in Predicting the Hospitalization Cost in Heart Failure: From DPC Database Analysis). 日本循環器学会学術集会抄録集 2021.03.01

  6. 朱 欣, 野呂 眞人, 飯塚 卓夫, 高橋 真生, 清水 一寛, 川添 理代, 中神 隆洋, 美甘 周史, 清川 甫, 佐藤 修司, 伊藤 拓朗, 杉崎 雄太, 戸谷 俊介, 橋本 晃, 高木 高人, 石井 梨奈, 浅見 雅子, 榎本 善成, 中村 啓二郎, 杉 薫. 自動体外式除細動器による除細動についてのコンピュータシミュレーションを用いた研究(Study on defibrillation of automatic external defibrillator using computer simulation). 心電図 2020.02.01

  7. 周 雪, 朱 欣, 中村 啓二郎, 野呂 眞人. 非侵襲検査と基礎医学・工学との融合　敵対的生成ネットワークによる心電図雑音評価効果の改善. 心電図 2020.02.01

  8. 李 欽, 朱 欣, 胡 耀鵬, 沈 文楓, 井上 隆司. 過剰なTRPM4チャネルの活性が伝導速度とAP形状に変化を及ぼす可能性の検討　コンピュータシミュレーション研究(Excessive TRPM4 channel activity may change conduction velocities and AP shapes: a computer simulation study). 心電図 2020.02.01

  9. 周 雪, 朱 欣, 中村 啓二郎, 野呂 眞人. 深層学習による心房細動の検出(Detect Atrial Fibrillation Using Deep Learning). 心電図 2019.03.01

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Awards & Honors 【 display / non-display 】

  • Best Oral Presentation Award，Toin International Biomedical Symposium，2025.10

  • Best Poster Presentation Award，Toin International Biomedical Symposium，2025.10

  • IIHMSP 2025 Best Paper Award，The 21st International Conference on Intelligent Information Hiding and Multimedia Signal Processing，2025.10

  • "Popular vote" special prize，IEEE ISBI2024，2024.05

  • Presentation Award in IWCIA2023，2023 IEEE 13th International Workshop on Computational Intelligence and Applications，2023.11

  • Best Paper Award，EUVIP 2023 Conference，2023.09

  • Best Presentation Award，2020 IEEE 5th International Conference on Signal and Image Processing，2020.10

  • Excellent Presentation Award，Japanese Society of Comnputed Electrocardiology，2019.06

  • Best Paper Award，IEEE International Conference on Awareness Science and Technology，2017.10

  • Golden Award，Toin International Biomedical Symposium，2017.10

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