Nakamura Keijiro 中村啓二郎

… Alternative Names

NAKAMURA KEIJIRO 中村啓二郎

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Researcher Number	20366181
Other IDs
Affiliation (Current)	2025: 東邦大学, 医学部, 講師
Affiliation (based on the past Project Information) *help	2025: 東邦大学, 医学部, 講師 2021 – 2023: 東邦大学, 医学部, 講師 2018 – 2020: 東邦大学, 医学部, 助教
Review Section/Research Field	Principal Investigator Basic Section 58010:Medical management and medical sociology-related Except Principal Investigator Basic Section 90140:Medical technology assessment-related / Basic Section 62010:Life, health and medical informatics-related
Keywords	Principal Investigator 予後予測 / 深層学習 / 人工知能 / 予後因子 / 心不全 Except Principal Investigator 人工知能 / シミュレーター / 外科手術 / カテーテルアブレーション / バーチャル・リアリティ … More / 臨床有用性 / 自動解析 / 心臓シミュレーション / 早期収縮 / 心房細動 / 敵対的生成ネットワーク / シミュレーション / 心臓モデル / 不整脈 / 深層学習 / 心電図 Less

The Development and Validation of a Procedural Skills Simulator Using Generative AI and Virtual Reality
- Principal Investigator
  
  朱欣
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 90140:Medical technology assessment-related
- Research Institution
  Institute of Science Tokyo
The Construction of A Prognostic Model for Heart Failure in Deep LearningPrincipal Investigator
- Principal Investigator
  
  NAKAMURA KEIJIRO
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 58010:Medical management and medical sociology-related
- Research Institution
  Toho University
Study on ECG automatic analysis technology and its clinical usefulness based on artificial intelligence and cardiac simulation
- Principal Investigator
  
  ZHU XIN
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  The University of Aizu

All 2023 2022 2021 2020 2018

All Journal Article Presentation

[Journal Article] Exploring and Identifying Prognostic Phenotypes of Patients with Heart Failure Guided by Explainable Machine Learning2022
- Author(s)
  Zhou Xue、Nakamura Keijiro、Sahara Naohiko、Asami Masako、Toyoda Yasutake、Enomoto Yoshinari、Hara Hidehiko、Noro Mahito、Sugi Kaoru、Moroi Masao、Nakamura Masato、Huang Ming、Zhu Xin
- Journal Title
  
  Life
  
  Volume: 12 Issue: 6 Pages: 776-776
- DOI
  10.3390/life12060776
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K10287
[Journal Article] Risk of Mortality Prediction Involving Time-Varying Covariates for Patients with Heart Failure Using Deep Learning2022
- Author(s)
  Nakamura Keijiro、Zhou Xue、Sahara Naohiko、Toyoda Yasutake、Enomoto Yoshinari、Hara Hidehiko、Noro Mahito、Sugi Kaoru、Huang Ming、Moroi Masao、Nakamura Masato、Zhu Xin
- Journal Title
  
  Diagnostics
  
  Volume: 12 Issue: 12 Pages: 2947-2947
- DOI
  10.3390/diagnostics12122947
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K10287
[Journal Article] A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network2021
- Author(s)
  Niroshana S. M. Isuru、Zhu Xin、Nakamura Keijiro、Chen Wenxi
- Journal Title
  
  PLOS ONE
  
  Volume: 16 Issue: 4 Pages: e0250618-e0250618
- DOI
  10.1371/journal.pone.0250618
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K11532
[Presentation] 循環器診療におけるAIの役割　Real World Data分析におけるAIの役割2023
- Author(s)
  中村啓二郎, 朱欣, 原英彦, 葉山裕真, 諸井雅男, 廣井透雄
- Organizer
  第71回日本心臓病学会学術集会
- Data Source
  KAKENHI-PROJECT-21K10287
[Presentation] Is AI completely One-size-fits-all approach for analyzing Real World Data2023
- Author(s)
  中村　啓二郎（東邦大学医療センター大橋病院循環器内科）
- Organizer
  日本循環器学会
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K10287
[Presentation] ECG quality assessment based on convolutional neural network-long-short term memory and generative adversarial network2020
- Author(s)
  Xin Zhu; Xue Zhou; Keiichiro Nakamura; Mahito Noro
- Organizer
  心電学関連研究会2020
- Data Source
  KAKENHI-PROJECT-18K11532
[Presentation] Effects of Myocardial Fat’s Thickness and Myocardial Impedance on Bipolar Radiofrequency Cathode Ablation2020
- Author(s)
  Yao Sun; Xin Zhu; Keijiro Nakamura
- Organizer
  2020 IEEE REGION 10 CONFERENCE (TENCON)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11532
[Presentation] Determination of T Wave End by Multi-input Deep Learning Model2020
- Author(s)
  Xue Zhou; Xin Zhu; Keijiro Nakamura; Mahito Noro
- Organizer
  2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP)
- Data Source
  KAKENHI-PROJECT-18K11532
[Presentation] Premature Ventricular Contraction Detection from Ambulatory ECG Using Recurrent Neural Networks2018
- Author(s)
  Xue Zhou, Xin Zhu, Keiichiro Nakamura, and Mahito Noro
- Organizer
  40th IEEE EMBC annual Conference
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11532
[Presentation] ECG Quality Assessment Using 1D-Convolutional Neural Network2018
- Author(s)
  Xue Zhou, Xin Zhu, Keiichiro Nakamura, and Mahito Noro
- Organizer
  The 14th IEEE International Conference on Signal Processing
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11532
[Presentation] Detect Atrial Fibrillation Using Deep Learning2018
- Author(s)
  Xue Zhou, Xin Zhu, Keiichiro Nakamura, and Mahito Noro
- Organizer
  the 33rd Annual Conference of the Japanese Society for Computerized Electrocardiology
- Data Source
  KAKENHI-PROJECT-18K11532
[Presentation] Detect the Premature Ventricular Contraction Using Recurrent Neural Networks2018
- Author(s)
  Xue Zhou, Xin Zhu, Keiichiro Nakamura, and Mahito Noro
- Organizer
  the 45th Congress of the International Society of Electrocardiology
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11532
[Presentation] Atrial Fibrillation Detection Using Convolutional Neural Networks2018
- Author(s)
  Xue Zhou, Xin Zhu, Keiichiro Nakamura, and Mahito Noro
- Organizer
  The 9th IEEE International Conference on Awareness Science and Technology
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-18K11532

1. ZHU XIN (70448645)

# of Collaborated Projects: 3 results

# of Collaborated Products: 12 results
2. 野呂眞人 (10366495)

# of Collaborated Projects: 1 results

# of Collaborated Products: 7 results
3. 増本幸二 (20343329)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. 葉山裕真 (20843270)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

Nakamura Keijiro 中村 啓二郎

NAKAMURA KEIJIRO 中村 啓二郎

Research Projects

Research Products

Co-Researchers

The Development and Validation of a Procedural Skills Simulator Using Generative AI and Virtual Reality

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

The Construction of A Prognostic Model for Heart Failure in Deep LearningPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Study on ECG automatic analysis technology and its clinical usefulness based on artificial intelligence and cardiac simulation

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Exploring and Identifying Prognostic Phenotypes of Patients with Heart Failure Guided by Explainable Machine Learning2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Risk of Mortality Prediction Involving Time-Varying Covariates for Patients with Heart Failure Using Deep Learning2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] A fused-image-based approach to detect obstructive sleep apnea using a single-lead ECG and a 2D convolutional neural network2021

Author(s)

Journal Title

DOI

Data Source

[Presentation] 循環器診療におけるAIの役割 Real World Data分析におけるAIの役割2023

Author(s)

Organizer

Data Source

[Presentation] Is AI completely One-size-fits-all approach for analyzing Real World Data2023

Author(s)

Organizer

Data Source

[Presentation] ECG quality assessment based on convolutional neural network-long-short term memory and generative adversarial network2020

Author(s)

Organizer

Data Source

[Presentation] Effects of Myocardial Fat’s Thickness and Myocardial Impedance on Bipolar Radiofrequency Cathode Ablation2020

Author(s)

Organizer

Data Source

[Presentation] Determination of T Wave End by Multi-input Deep Learning Model2020

Author(s)

Organizer

Data Source

[Presentation] Premature Ventricular Contraction Detection from Ambulatory ECG Using Recurrent Neural Networks2018

Author(s)

Organizer

Data Source

[Presentation] ECG Quality Assessment Using 1D-Convolutional Neural Network2018

Author(s)

Organizer

Data Source

[Presentation] Detect Atrial Fibrillation Using Deep Learning2018

Author(s)

Organizer

Data Source

[Presentation] Detect the Premature Ventricular Contraction Using Recurrent Neural Networks2018

Author(s)

Organizer

Data Source

[Presentation] Atrial Fibrillation Detection Using Convolutional Neural Networks2018

Author(s)

Organizer

Data Source

Nakamura Keijiro 中村啓二郎

NAKAMURA KEIJIRO 中村啓二郎

[Presentation] 循環器診療におけるAIの役割　Real World Data分析におけるAIの役割2023