Personnel Information

写真a

ZHU XIN


Job title

Professor

Research Areas, Keywords

Artificial Intelligence, Medical Image Processing, Medical Signal Processing
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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
    -
    Now
    Tokyo Medical and Dental University， M&D Data Science Center， Division of AI and Big Data Research， Department of AI Technology Development， Professor
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External Career 【 display / non-display 】

  • 2015.04
    -
    2024.08
    The University of Aizu, Division of Information Systems, Senior Associate Professor
  • 2024.09
    -
    Now
    Tokyo Medical and Dental University, M&D Data Science Center, 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

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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

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Published Papers & Misc 【 display / non-display 】

  1. Parallelization of Three Dimensional Cardiac Simulation on GPU 2024.09; ( DOI )

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

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

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

  5. 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 )

  6. 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 )

  7. 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 )

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

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

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

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

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

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

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

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

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

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

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

  19. 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 )

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

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

  22. 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 )

  23. 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 )

  24. 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 )

  25. 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 )

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

  27. 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 )

  28. 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 )

  29. 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 )

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

  31. 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 )

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

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

  34. 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. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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 】

  • "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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