Department of AI Technology Development

111  articles.  
* There may be some overlapped articles listed due to the difference of format.

  1. Artificial Intelligence-Based Prediction of Invasion Depth in Colorectal Cancer via Endoscopic Imaging (With Video): A Narrative Review. 2026.03; 38 (3): e70139. ( PubMed , DOI )

  2. Identifying Post-Surgical Recurrence Subtype of T1 Stage Colorectal Cancer by Machine Learning. 2026.02; 1-22. ( PubMed , DOI )

  1. 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 )

  2. 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 )

  3. 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 )

  4. H Hayama , X Zhou , J Kirigara , Y Katayama , K Ozawa , Y Hiroi , X Zhu , K Negishi: Validation of a multi-video view-informed vision-language model for echocardiographic assessment in Japanese patients European Heart Journal. 2025.11; 46 (Supplement_1): ehaf784.010. ( DOI )

  5. 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 )

  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. 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 )

  8. 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 )

  9. Xue Zhou, Kazutomo Togashi, Xin Zhu, Yuki Nakajima, Yoshiki Kajiwara, Shiro Oka, Manabu Takamatsu, Kinichi Hotta, Masayoshi Yamada, Hiroaki Ikematsu, Shinji Nagata, Kazutaka Yamada, Jun Konishi, Soichiro Ishihara, Yusuke Saitoh, Kenji Matsuda, Koji Komori, Megumi Ishiguro, Yuzuru Tamaru, Takashi Okuyama … Hideki Ueno: MACHINE LEARNING-DRIVEN RECURRENCE SUBTYPES IN T1 COLORECTAL CANCER AFTER ENDOSCOPIC RESECTION Gastrointestinal Endoscopy. 2025.05; 101 (Supplement): S30-S31. ( DOI )

  10. MACHINE LEARNING-DRIVEN RECURRENCE SUBTYPES IN T1 COLORECTAL CANCER AFTER ENDOSCOPIC RESECTION 2025.05; 101 (5):

  11. Keijiro Nakamura, Xin Zhu, Yoshinari Enomoto, Hidehiko Hara, Torsten Kayser, Kengo F. Kusano, Kazutaka Aonuma, Takanori Ikeda: RISK STRATIFICATION AND OUTCOME FOR THE PATIENT WITH CARDIAC IMPLANTABLE ELECTRONIC DEVICES USING DEEP LEARNING ANALYSIS; POST HOC ANALYSIS OF HINODE STUDY Heart Rhythm. 2025.04; 22 (4): S720.

  12. 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 )

  13. 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 )

  14. 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 )

  1. 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 )

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

  3. 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 )

  4. 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 )

  5. 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 )

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

  7. 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 )

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

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

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

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

  12. 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 )

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

  14. 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 )

  15. 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 )

  1. 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 )

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

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

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

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

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

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

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

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

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

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

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

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

  2. 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 )

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

  4. 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 )

  5. COMPUTER-AIDED DIAGNOSIS FOR COLORECTAL SERRATED LESIONS USING NON-MAGNIFIED WHITE LIGHT ENDOSCOPIC IMAGES 2021.06; 93 (6): AB206.

  6. 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 )

  7. 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 )

  1. 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 )

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

  3. 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 )

  4. 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 )

  5. 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 )

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

  2. 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 )

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

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

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

  1. Improvements of Computer-aided Diagnosis for Colonoscopic Clinical Practice 2019.06; 128 (6): 421-429. ( ichushi )

  2. ZHU Xin, YAGI Tohru, KATAYAMA Norihiro, SHIOZAWA Naruhiro, UCHIYAMA Takanori: Preface to Special Issue on LE2018 Symposium Transactions of the Society of Instrument and Control Engineers. 2019; 55 (9): 519. ( DOI )

  1. Xuhan Zhu, Mingwei Zhou, Masahiro Shimogishi, Eriko Marukawa, Xin Zhu: Transformer-based models in dentistry: a systematic review. BMC medical informatics and decision making. 2026.06; ( PubMed , DOI )

  2. Shing-Hong Liu, Chien-Kai Lin, Xin Zhu, Jia-Jung Wang, Yu-Lun Hsu, Kuo-Li Pan: Denoising Respiratory Sinus Arrhythmia of Pulse-to-Pulse Interval Signals Extracted from Photoplethysmogram with an Autoregressive Moving Average Model Sensors. 2026.05; ( DOI )

  1. Shing-Hong Liu, 帛諺 吳, xin zhu, Chiun-Li Chin: Using a Bodily Weight-Fat Scale for Cuffless Blood Pressure Measurement Based on the Edge Computing System Sensors. 2024.12; 24 (23): 7830. ( DOI )

  2. Weihao Weng, Xin Zhu, Faouzi Alaya Cheikh, Mohib Ullah, Mitsuyoshi Imaizumi, Shigeyuki Murono, Satoshi Kubota: A Simple Framework for Depth-Augmented Contrastive Learning for Endoscopic Image Classification IEEE Transactions on Instrumentation and Measurement. 2024.09; ( DOI )

  3. Alok Kumar Sharma, Shing-Hong Liu, xin zhu, wenxi chen: Predicting Gait Parameters of Leg Movement with sEMG and Accelerometer Using CatBoost Machine Learning Electronics. 2024.05; ( DOI )

  4. Xinkai Liu, xin zhu, Xingjian Tian, Tsuyoshi Iwasaki, Atsuya Sato, Junichiro James Kazama: Renal Pathological Image Classification Based on Contrastive and Transfer Learning Electronics. 2024.04; ( DOI )

  1. Mitsuyoshi Imaizumi, Weihao Weng, Xin Zhu, Shigeyuki Murono: Effectiveness of FEES with artificial intelligence-assisted computer-aided diagnosis Auris Nasus Larynx. 2023.11; ( DOI )

  2. Xue Zhou, Xin Zhu, Tianhui Li, Keijiro Nakamura, Ming Huang: Sex Difference in Atrial Fibrillation Recurrence After Catheter Ablation 2023 12th International Conference on Awareness Science and Technology (iCAST). 2023.11; 274-278. ( DOI )

  3. Zunyi Tang, Linlin Jiang, Xin Zhu, Ming Huang: An Internet of Things-Based Home Telehealth System for Smart Healthcare by Monitoring Sleep and Water Usage: A Preliminary Study Electronics. 2023.08; 12 (17): 3652. ( DOI )

  4. Chiun-Li Chin, Chia-Chun Lin, Jing-Wen Wang, Wei-Cheng Chin, Yu-Hsiang Chen, Sheng-Wen Chang, Pei-Chen Huang, xin zhu, Yu-Lun Hsu, Shing-Hong Liu: A Wearable Assistant Device for the Hearing Impaired to Recognize Emergency Vehicle Sirens with Edge Computing Sensors. 2023.08; ( DOI )

  5. Jia-Jung Wang, Shing-Hong Liu, Cheng-Hsien Tsai, Ioannis Manousakas, xin zhu, Thung-Lip Lee: Signal Quality Analysis of Single-Arm Electrocardiography Sensors. 2023.06; ( DOI )

  6. Aihua Zhao, Xin Du, Suzhen Yuan, Wenfeng Shen, Xin Zhu, Wenwen Wang: Automated Detection of Endometrial Polyps from Hysteroscopic Videos Using Deep Learning Diagnostics. 2023.04; ( DOI )

  7. Weihao Weng, Xin Zhu, Lei Jing, Mianxiong Dong: Attention Mechanism Trained with Small Datasets for Biomedical Image Segmentation Electronics. 2023.01; ( DOI )

  8. 中村啓二郎, 朱欣, 榎本善成, 原英彦, 諸井雅男, 杉薫, 中村正人: 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(Web). 2023; 87th

  9. Weihao Weng, Xin Zhu 0001, Mitsuyoshi Imaizumi, Shigeyuki Murono: FEES-IS: Real-time Instance Segmentation of Flexible Endoscopic Evaluation of Swallowing. 11th European Workshop on Visual Information Processing(EUVIP). 2023; 1-6. ( DOI )

  10. Yiyang Liu, Boyuan Peng, Ziwei Liang, Xin Zhu 0001, Hiromasa Hayama, Keijiro Nakamura: Automatic Edge Detection in Echocardiographic Doppler Images Using an Improved Canny Algorithm. iCAST. 2023; 210-215. ( DOI )

  11. Qin Li, Xin Zhu 0001, Wenfeng Shen: Approximation of Hodgkin-Huxley Model Using Neural Networks. 12th International Conference on Awareness Science and Technology(iCAST). 2023; 279-284. ( DOI )

  12. Qin Li, Xin Zhu 0001, Wenfeng Shen: An Approach to Accelerate Three-dimensional Cardiac Simulation on GPU. 13th IEEE International Workshop on Computational Intelligence and Applications(IWCIA). 2023; 37-42. ( DOI )

  1. Keijiro Nakamura, Xue Zhou, Naohiko Sahara, Yasutake Toyoda, Yoshinari Enomoto, Hidehiko Hara, Mahito Noro, Kaoru Sugi, Ming Huang, Masao Moroi, Masato Nakamura, Xin Zhu: Risk of Mortality Prediction Involving Time-Varying Covariates for Patients with Heart Failure Using Deep Learning Diagnostics. 2022.11; 12 (12): 2947. ( DOI )

  2. Yang Lin, Menghan Yu, Yi Wang, Ziyue Meng, Ang Li, Zhonghai He, Qiaoyun Wang, Jian Liu, Yao Yu, Yuqian Zhao, Xin Zhu, Zhenhe Ma: High-speed all-optic optical coherence tomography and photoacoustic microscopy dual-modal system for microcirculation evaluation Journal of Innovative Optical Health Sciences. 2022.07; 15 (4): ( DOI )

  3. Jian Liu, Shixin Yan, Nan Lu, Dongni Yang, Chunhui Fan, Hongyu Lv, Shuanglian Wang, Xin Zhu, Yuqian Zhao, Yi Wang, Zhenhe Ma, Yao Yu: Automatic segmentation of foveal avascular zone based on adaptive watershed algorithm in retinal optical coherence tomography angiography images Journal of Innovative Optical Health Sciences. 2022.01; 15 (1): ( DOI )

  4. Xue Zhou, Xin Zhu, Keijiro Nakamura: Prediction of Hospitalization Cost and Length of Stay for Patients with Heart Failure Using Deep Learning LifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies. 2022; 158-161. ( DOI )

  5. Yiyang Liu, Boyuan Peng, Xin Zhu 0001, Wenwen Wang, Qin Zhou, Shixuan Wang, Jingjing Jiang, Li Fang: Automatic endometrial segmentation in ultrasound images using deep learning. 15th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip(MCSoC). 2022; 67-71. ( DOI )

  6. Xue Zhou, Xin Zhu, Keijiro Nakamura, Ming Huang: Gender Difference in Prognosis of Patients with Heart Failure: A Propensity Score Matching Analysis BHI-BSN 2022 - IEEE-EMBS International Conference on Biomedical and Health Informatics and IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, Symposium Proceedings. 2022; 1-4. ( DOI )

  7. Boyuan Peng, Yiyang Liu, Xin Zhu, Shouhei Ikeda, Saburo Tsunoda: Femoral segmentation of MRI images using PP-LiteSeg BHI-BSN 2022 - IEEE-EMBS International Conference on Biomedical and Health Informatics and IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks, Symposium Proceedings. 2022; 1-4. ( DOI )

  1. Aihua Zhao, Jian Zhang, Shixuan Wang, Yan Wang, Xin Zhu, Wenfeng Shen, Wenwen Wang: Detection of Hysteroscopic Hysteromyoma in Real-Time Based on Deep Learning Journal of Physics: Conference Series. 2021.04; 1861 (1): ( DOI )

  2. Yaopeng Hu, Qin Li, Lin-Hai Kurahara, Narumi Shioi, Keizo Hiraishi, Takayuki Fujita, Xin Zhu, Ryuji Inoue: An Arrhythmic Mutation E7K Facilitates TRPM4 Channel Activation via Enhanced PIP2 Interaction Cells. 2021.04; 10 (5): ( PubMed , DOI )

  3. S. M. Isuru Niroshana, Khanh N.Q. Le, Xin Zhu, Keijiro Nakamura, Wenxi Chen: A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network PLOS ONE. 2021.04; 16 (4 April): ( PubMed , DOI )

  4. Xingyu Wangchen, Wenfeng Shen, Hideaki Takasumi, Shinya Seino, Xin Zhu: Automatic combination strategy search in segmentation of Cardiac T1 mapping image Proceedings - 2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2021. 2021.03; 811-816. ( DOI )

  5. 周雪, 朱欣, 中村啓二郎, 野呂眞人: Determination of T wave end in Electrocardiogram using deep neural networks 心電学関連春季大会プログラム・抄録集(Web). 2021; 2021

  6. 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: 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(Web). 2021; 85th

  7. Yuki NAKAJIMA, Daiki NEMOTO, Shinichi KATSUKI, Yoshikazu HAYASHI, Masato AIZAWA, Kenichi UTANO, Takahito TAKEZAWA, Yuichi SAGARA, Xin ZHU, Goro SHIBUKAWA, Hironori YAMAMOTO, Kazutomo TOGASHI: Which region does artificial intelligence look at to predict t1b colorectal cancer? analysis based on class activation mapping Gastroenterological Endoscopy. 2021; 63 (6): 1232-1240. ( DOI )

  8. Weihao Weng, Xin Zhu: INet: Convolutional Networks for Biomedical Image Segmentation IEEE Access. 2021; 9 16591-16603. ( DOI )

  1. Boyuan Peng, Zhe Guo, Xin Zhu, Shouhei Ikeda, Saburo Tsunoda: Semantic segmentation of femur bone from MRI images of patients with hematologic malignancies IEEE Region 10 Annual International Conference, Proceedings/TENCON. 2020.11; 2020-November 1090-1094. ( DOI )

  2. Yao Sun, Xin Zhu, Keijiro Nakamura: Effects of myocardial fat's thickness and myocardial impedance on bipolar radiofrequency cathode ablation IEEE Region 10 Annual International Conference, Proceedings/TENCON. 2020.11; 2020-November 47-51. ( DOI )

  3. Xue Zhou, Xin Zhu, Keijiro Nakamura, Mahito Noro: Determination of T Wave End by Multi-input Deep Learning Model 2020 IEEE 5th International Conference on Signal and Image Processing, ICSIP 2020. 2020.10; 898-902. ( DOI )

  4. Lingfeng Liu, Xin Zhu, Qin Xia: An Integrated Design of Multi-Channel ECG Sensor on Smart Garment ACM International Conference Proceeding Series. 2020.09; 316-320. ( DOI )

  5. Yuki Nakajima, Daiki Nemoto, Xin Zhu, Zhe Guo, Qin Li, Masato Aizawa, Kenichi Utano, Noriyuki Isohata, Shungo Endo, Goro Shibukawa, Shinichi Katsuki, Yuichi Sagara, Takahito Takezawa, Yoshikazu Hayashi, Hironori Yamamoto, David G. Hewett, Kazutomo Togashi: Sa2046 WHICH REGION DOES ARTIFICIAL INTELLIGENCE LOOK AT TO PREDICT T1B COLORECTAL CANCER?: ANALYSIS BASED ON CLASS ACTIVATION MAPPING. Gastrointestinal Endoscopy. 2020.06; 91 (6): AB257-AB258. ( DOI )

  6. Zhe Guo, Ruiyao Zhang, Qin Li, Xinkai Liu, Daiki Nemoto, Kazutomo Togashi, S.M. Isuru Niroshana, Yuchen Shi, Xin Zhu: Reduce False-Positive Rate by Active Learning for Automatic Polyp Detection in Colonoscopy Videos 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). 2020.04; 2020-April 1655-1658. ( DOI )

  1. S. M.Isuru Niroshana, Xin Zhu, Ying Chen, Wenxi Chen: Sleep Stage Classification Based on EEG, EOG, and CNN-GRU Deep Learning Model 2019 IEEE 10th International Conference on Awareness Science and Technology, iCAST 2019 - Proceedings. 2019.10; 1-7. ( DOI )

  2. Baohua Liu, Wenfeng Shen, Xin Zhu, Xingyu Wangchen: Integrating intra-And intercellular simulation of a 2d hl-1 cardiac model based on embedded gpus Proceedings - 2019 IEEE 13th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, MCSoC 2019. 2019.10; 236-240. ( DOI )

  3. Baohua Liu, Wenfeng Shen, Peng Li, Xin Zhu: Accelerate Mini-batch Machine Learning Training With Dynamic Batch Size Fitting 2019 International Joint Conference on Neural Networks (IJCNN). 2019.07; 2019-July 1-8. ( DOI )

  4. S.M. Isuru Niroshana, Xin Zhu, Yin Chen, Wenxi Chen: Automatic Sleep Stage Classification Based on Convolutional Neural Networks 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech). 2019.03; 275-276. ( DOI )

  5. Xue Zhou, Xin Zhu, Keijiro Nakamura, Mahito Noro: Detect the Premature Ventricular Contraction Using Recurrent Neural Networks Journal of Electrocardiology. 2019.03; 53 e4-e5. ( DOI )

  6. Zhe Guo, Xin Zhu, Qin Li, Daiki Nemoto, Daisuke Takayanagi, Masato Aizawa, Noriyuki Isohata, Kenichi Utano, Kensuke Kumamoto, Shungo Endo, Kazutomo Togashi: Automatic polyp recognition from Colonoscopy images based on bag of visual words International Journal of Applied Science and Engineering. 2019; 16 (1): 69-81. ( DOI )

  1. Feng Qiu, Baohua Liu, Wenfeng Shen, Yanghua Shen, Yaopeng Hu, Xin Zhu: Parallel acceleration on simulation of a 2D Takeuchi electrophysiology cardiac model using GPUs 2017 3rd IEEE International Conference on Computer and Communications, ICCC 2017. 2018.03; 2018-January 2665-2668. ( DOI )

  2. Feng Qiu, Baohua Liu, Wenfeng Shen, Yanghua Shen, Yaopeng Hu, Xin Zhu: A study on the simulation of HL-1 unicellular model based on numerical methods Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017. 2018.02; 2018-January 1-5. ( DOI )

  3. Wenfeng Shen, Feng Qiu, Yaopeng Hu, Yanghua Shen, Xin Zhu: Energy efficient simulation computing of electrocardiogram with TK1 Board IAENG International Journal of Computer Science. 2018.02; 45 (1): 177-187.

  4. HU Yaopeng, SHEN Yanghua, HIRAISHI Keizo, KURAHARA Lin-Hai, ICHIKAWA Jun, NUMATA Tomohiro, QIU Feng, SHEN Wenfeng, ZHU Xin, INOUE Ryuji: TRPM4 channel and its significant implications in arrhythmogenicity 心電図. 2018; 38 (Supplement 1):

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