Nishio Mizuho 西尾瑞穂

Researcher Number	50581998
Other IDs
Affiliation (Current)	2025: 神戸大学, 医学研究科, 特命准教授
Affiliation (based on the past Project Information) *help	2023: 神戸大学, 未来医工学研究開発センター, 特命講師 2022: 神戸大学, 医学部附属病院, 助教 2021: 神戸大学, 医学部附属病院, 特定助教 2019 – 2020: 神戸大学, 医学部附属病院, 特命助教 2016 – 2019: 京都大学, 医学研究科, 特定助教 2014 – 2016: 公益財団法人先端医療振興財団, その他部局等, 研究員
Review Section/Research Field	Principal Investigator Basic Section 52040:Radiological sciences-related / Medium-sized Section 52:General internal medicine and related fields / Radiation science Except Principal Investigator Basic Section 52040:Radiological sciences-related / Radiation science
Keywords	Principal Investigator 深層学習 / summarization / レポート / 放射線診断学 / 自然言語処理 / 医用画像処理 / コンピューター支援診断 / 医療情報 / 大規模言語モデル / 医用自然言語処理 … More / クロスモーダル学習 / multi-modal model / 読影支援 / 胸部写真 / 肺 / 自動診断 / 肺炎 / 胸部単純X線写真 / 新型コロナ肺炎 / 人工知能 / 胸部単純レントゲン写真 / 新型コロナウィルス肺炎 / 情報工学 / 放射線 / 癌 / ホモロジー / 肺気腫 / 肺癌 / テクスチャー解析 / 機械学習 / CT / 肺結節 … More Except Principal Investigator 自己学習 / 胸部画像 / 導入後学習 / 胸部CT画像 / 画像データベース / 深層学習 / 計算機支援画像診断 / MRI / せん断応力 / 血管内皮機能 / 肝 Less

Application of large language models to medical natural language processingPrincipal Investigator
- Principal Investigator
  
  西尾瑞穂
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Fund for the Promotion of Joint International Research (International Collaborative Research)
- Review Section
  
  Medium-sized Section 52:General internal medicine and related fields
- Research Institution
  Kobe University
放射線診断学の画像とレポートを用いた深層学習の応用Principal Investigator
- Principal Investigator
  
  西尾瑞穂
- Project Period (FY)
  2022 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Kobe University
Deep learning for automatic diagnosis of chest X-ray images and its computer-aided diagnosisPrincipal Investigator
- Principal Investigator
  
  Mizuho Nishio
- Project Period (FY)
  2019 – 2022
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Kobe University
Basic research on the construction of a database of diversity lung nodules and the development of a self-learning diagnostic imaging support system
- Principal Investigator
  
  Fujita Hiroshi
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Scientific Research (B)
- Review Section
  
  Basic Section 52040:Radiological sciences-related
- Research Institution
  Gifu University
Development of computer-aided diagnosis system for lung cancer CT screening using deep learningPrincipal Investigator
- Principal Investigator
  
  Nishio Mizuho
- Project Period (FY)
  2016 – 2018
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Radiation science
- Research Institution
  Kyoto University
MR Hemodynamic Evaluations of Hepatic Vasculatures
- Principal Investigator
  
  Yoshikawa Takeshi
- Project Period (FY)
  2014 – 2016
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Radiation science
- Research Institution
  Kobe University

All 2024 2023 2022 2021 2020 2019 2018 2017

All Journal Article Presentation Book

[Book] Lung Imaging and CADx. Computer-aided diagnosis of lung nodules: systems for estimation of lung cancer probability and false positive reduction of lung nodule detection2019
- Author(s)
  Mizuho Nishio
- Publisher
  Taylor & Francis
- Data Source
  KAKENHI-PROJECT-16K19883
[Journal Article] Development of Pericardial Fat Count Images Using a Combination of Three Different Deep-Learning Models: Image Translation Model From Chest Radiograph Image to Projection Image of Three-Dimensional Computed Tomography2024
- Author(s)
  Matsunaga Takaaki、Kono Atsushi、Matsuo Hidetoshi、Kitagawa Kaoru、Nishio Mizuho、Hashimura Hiromi、Izawa Yu、Toba Takayoshi、Ishikawa Kazuki、Katsuki Akie、Ohmura Kazuyuki、Murakami Takamichi
- Journal Title
  
  Academic Radiology
  
  Volume: 31 Issue: 3 Pages: 822-829
- DOI
  10.1016/j.acra.2023.09.014
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K17229, KAKENHI-PROJECT-23KK0148, KAKENHI-PROJECT-22K07665
[Journal Article] Stromal area differences with epithelial-mesenchymal transition gene changes in conjunctival and orbital mucosa-associated lymphoid tissue lymphoma2024
- Author(s)
  Tagami Mizuki、Kasashima Hiroaki、Kakehashi Anna、Yoshikawa Atsuko、Nishio Mizuho、Misawa Norihiko、Sakai Atsushi、Wanibuchi Hideki、Yashiro Masakazu、Azumi Atsushi、Honda Shigeru
- Journal Title
  
  Frontiers in Oncology
  
  Volume: 14
- DOI
  10.3389/fonc.2024.1277749
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K15480, KAKENHI-PROJECT-23KK0148, KAKENHI-PROJECT-22K07665, KAKENHI-PROJECT-23K09013
[Journal Article] Fully automatic summarization of radiology reports using natural language processing with large language models2024
- Author(s)
  Nishio Mizuho、Matsunaga Takaaki、Matsuo Hidetoshi、Nogami Munenobu、Kurata Yasuhisa、Fujimoto Koji、Sugiyama Osamu、Akashi Toshiaki、Aoki Shigeki、Murakami Takamichi
- Journal Title
  
  Informatics in Medicine Unlocked
  
  Volume: 46 Pages: 101465-101465
- DOI
  10.1016/j.imu.2024.101465
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K17229, KAKENHI-PROJECT-23KK0148, KAKENHI-PROJECT-22K07665, KAKENHI-PROJECT-23K07154
[Journal Article] Classification of cancer TNM stage from Japanese radiology report using on-premise LLM at NTCIR-17 MedNLP-SC RR-TNM subtask2023
- Author(s)
  Koji Fujimoto, Mizuho Nishio, Chikako Tanaka, Morteza Rohanian, Farhad Nooralahzadeh, Michael Krauthammer, Fabio Rinaldi
- Journal Title
  
  Proceedings of NTCIR-17
  
  Volume: 0 Pages: 200-207
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K07665
[Journal Article] Label Distribution Learning for Automatic Cancer Grading of Histopathological Images of Prostate Cancer2023
- Author(s)
  Nishio Mizuho、Matsuo Hidetoshi、Kurata Yasuhisa、Sugiyama Osamu、Fujimoto Koji
- Journal Title
  
  Cancers
  
  Volume: 15 Issue: 5 Pages: 1535-1535
- DOI
  10.3390/cancers15051535
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K07665, KAKENHI-PROJECT-19K17232, KAKENHI-PROJECT-20K16780
[Journal Article] Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance2023
- Author(s)
  Nishio Mizuho、Ota Eiji、Matsuo Hidetoshi、Matsunaga Takaaki、Miyazaki Aki、Murakami Takamichi
- Journal Title
  
  PeerJ Computer Science
  
  Volume: 9 Pages: e1620-e1620
- DOI
  10.7717/peerj-cs.1620
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23KK0148, KAKENHI-PROJECT-22K07665
[Journal Article] Nodal infiltration in endometrial cancer: a prediction model using best subset regression2023
- Author(s)
  Matsumoto Yuka Kuriyama、Himoto Yuki、Nishio Mizuho、Kikkawa Nao、Otani Satoshi、Ito Kimiteru、Yamanoi Koji、Kato Tomoyasu、Fujimoto Koji、Kurata Yasuhisa、Moribata Yusaku、Yoshida Hiroshi、Minamiguchi Sachiko、Mandai Masaki、Kido Aki、Nakamoto Yuji
- Journal Title
  
  European Radiology
  
  Volume: 0 Issue: 5 Pages: 3375-3384
- DOI
  10.1007/s00330-023-10310-1
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23KK0148, KAKENHI-PROJECT-22K07665, KAKENHI-PROJECT-20K16748
[Journal Article] Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system2023
- Author(s)
  Miyazaki Aki、Ikejima Kengo、Nishio Mizuho、Yabuta Minoru、Matsuo Hidetoshi、Onoue Koji、Matsunaga Takaaki、Nishioka Eiko、Kono Atsushi、Yamada Daisuke、Oba Ken、Ishikura Reiichi、Murakami Takamichi
- Journal Title
  
  Scientific Reports
  
  Volume: 13 Issue: 1
- DOI
  10.1038/s41598-023-44818-9
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K17229, KAKENHI-PROJECT-23KK0148, KAKENHI-PROJECT-22K07665
[Journal Article] Boosting Radiology Report Generation by Infusing Comparison Prior2023
- Author(s)
  Kim Sanghwan、Nooralahzadeh Farhad、Rohanian Morteza、Fujimoto Koji、Nishio Mizuho、Sakamoto Ryo、Rinaldi Fabio、Krauthammer Michael
- Journal Title
  
  The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks
  
  Volume: 0 Pages: 50-61
- DOI
  10.18653/v1/2023.bionlp-1.4
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K07665
[Journal Article] Automatic segmentation of bladder cancer on MRI using a convolutional neural network and reproducibility of radiomics features: a two-center study2023
- Author(s)
  Moribata Yusaku、Kurata Yasuhisa、Nishio Mizuho、Kido Aki、Otani Satoshi、Himoto Yuki、Nishio Naoko、Furuta Akihiro、Onishi Hiroyuki、Masui Kimihiko、Kobayashi Takashi、Nakamoto Yuji
- Journal Title
  
  Scientific Reports
  
  Volume: 13 Issue: 1 Pages: 628-628
- DOI
  10.1038/s41598-023-27883-y
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K16780, KAKENHI-PROJECT-22K07665
[Journal Article] Classification of cancer TNM stage from Japanese radiology report using on-premise LLM at NTCIR-17 MedNLP-SC RR-TNM subtask2023
- Author(s)
  Koji Fujimoto, Mizuho Nishio, Chikako Tanaka, Morteza Rohanian, Farhad Nooralahzadeh, Michael Krauthammer, Fabio Rinaldi
- Journal Title
  
  Proceedings of NTCIR-17
  
  Volume: 0 Pages: 200-207
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23KK0148
[Journal Article] Zero-shot classification of TNM staging for Japanese radiology report using ChatGPT at RR-TNM subtask of NTCIR-17 MedNLP-SC2023
- Author(s)
  Mizuho Nishio, Hidetoshi Matsuo, Takaaki Matsunaga, Koji Fujimoto, Morteza Rohanian, Farhad Nooralahzadeh, Fabio Rinaldi, Michael Krauthammer
- Journal Title
  
  Proceedings of NTCIR-17
  
  Volume: 0 Pages: 155-162
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K07665
[Journal Article] Zero-shot classification of TNM staging for Japanese radiology report using ChatGPT at RR-TNM subtask of NTCIR-17 MedNLP-SC2023
- Author(s)
  Mizuho Nishio, Hidetoshi Matsuo, Takaaki Matsunaga, Koji Fujimoto, Morteza Rohanian, Farhad Nooralahzadeh, Fabio Rinaldi, Michael Krauthammer
- Journal Title
  
  Proceedings of NTCIR-17
  
  Volume: 0 Pages: 155-162
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23KK0148
[Journal Article] Machine Learning Model with Texture Analysis for Automatic Classification of Histopathological Images of Ocular Adnexal Mucosa-associated Lymphoid Tissue Lymphoma of Two Different Origins2023
- Author(s)
  Tagami Mizuki、Nishio Mizuho、Katsuyama-Yoshikawa Atsuko、Misawa Norihiko、Sakai Atsushi、Haruna Yusuke、Azumi Atsushi、Honda Shigeru
- Journal Title
  
  Current Eye Research
  
  Volume: 48 Issue: 12 Pages: 1195-1202
- DOI
  10.1080/02713683.2023.2246696
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K07665, KAKENHI-PROJECT-23K09013
[Journal Article] Deep learning model for the automatic classification of COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy: A multi-center retrospective study2022
- Author(s)
  Mizuho Nishio, Daigo Kobayashi, Eiko Nishioka, Hidetoshi Matsuo, Yasuyo Urase, Koji Onoue, Reiichi Ishikura, Yuri Kitamura, Eiro Sakai, Masaru Tomita, Akihiro Hamanaka, Takamichi Murakami
- Journal Title
  
  Scientific Reports
  
  Volume: 12 Issue: 1 Pages: 8214-8214
- DOI
  10.1038/s41598-022-11990-3
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19H03599, KAKENHI-PROJECT-22K07665, KAKENHI-PROJECT-19K17232
[Journal Article] 医用画像読影支援システムに対する導入後学習の検討2022
- Author(s)
  村松千左子，西尾瑞穂，八上全弘，久保　武，大岩幹直，藤田広志
- Journal Title
  
  IEICE Technical Report （電子情報通信学会・信学技報）
  
  Volume: MI2021-58 Pages: 55-58
- Data Source
  KAKENHI-PROJECT-19H03599
[Journal Article] Bayesian multidimensional nominal response model for observer study of radiologists2022
- Author(s)
  Nishio Mizuho、Kobayashi Daigo、Matsuo Hidetoshi、Urase Yasuyo、Nishioka Eiko、Murakami Takamichi
- Journal Title
  
  Japanese Journal of Radiology
  
  Volume: 41 Issue: 4 Pages: 449-455
- DOI
  10.1007/s11604-022-01366-y
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K07665, KAKENHI-PROJECT-19K17232
[Journal Article] Leveraging Token-Based Concept Information and Data Augmentation in Few-Resource NER: ZuKyo-EN at the NTCIR-16 Real-MedNLP task2022
- Author(s)
  Joseph Cornelius, Oscar Lithgow-Serrano, Vani Kanjirangat, Fabio Rinaldi, Koji Fujimoto, Mizuho Nishio, Osamu Sugiyama, Kana Ichikawa, Farhad Nooralahzadeh, Aron Horvath, Michael Krauthammer
- Journal Title
  
  Proceedings of NTCIR-16
  
  Volume: - Pages: 316-321
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K07665
[Journal Article] Unsupervised-learning-based method for chest MRI?CT transformation using structure constrained unsupervised generative attention networks2022
- Author(s)
  Matsuo Hidetoshi、Nishio Mizuho、Nogami Munenobu、Zeng Feibi、Kurimoto Takako、Kaushik Sandeep、Wiesinger Florian、Kono Atsushi K.、Murakami Takamichi
- Journal Title
  
  Scientific Reports
  
  Volume: 12 Issue: 1
- DOI
  10.1038/s41598-022-14677-x
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-22K07665
[Journal Article] Approach for Named Entity Recognition and Case Identification Implemented by ZuKyo-JA Sub-team at the NTCIR-16 Real-MedNLP Task2022
- Author(s)
  Koji Fujimoto, Mizuho Nishio, Osamu Sugiyama, Kana Ichikawa, Joseph Cornelius, Oscar Lithgow-Serrano, Vani Kanjirangat, Aron N Horvath, Farhad Nooralahzadeh, Michael Krauthammer, Fabio Rinaldi
- Journal Title
  
  Proceedings of NTCIR-16
  
  Volume: - Pages: 322-329
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K07665
[Journal Article] Investigation on continual training of computer-aided diagnosis systems by semi-supervised learning2022
- Author(s)
  Muramamatsu Chisako、Nishio Mizuho、Oiwa Mikinao、Yakami Masahiro、Kubo Takeshi、Fujita Hiroshi
- Journal Title
  
  Proc. of IMIP 2022: 2022 4th International Conference on Intelligent Medicine and Image Processing
  
  Volume: - Pages: 58-62
- DOI
  10.1145/3524086.3524095
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19H03599, KAKENHI-PROJECT-20K08131
[Journal Article] Deep learning-based algorithm improved radiologists’ performance in bone metastases detection on CT2022
- Author(s)
  Noguchi Shunjiro、Nishio Mizuho、Sakamoto Ryo、Yakami Masahiro、Fujimoto Koji、Emoto Yutaka、Kubo Takeshi、Iizuka Yoshio、Nakagomi Keita、Miyasa Kazuhiro、Satoh Kiyohide、Nakamoto Yuji
- Journal Title
  
  European Radiology
  
  Volume: 32 Issue: 11 Pages: 7976-7987
- DOI
  10.1007/s00330-022-08741-3
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-22K07665
[Journal Article] Deep learning model for the automatic classification of COVID-19 pneumonia, non- COVID-19 pneumonia, and the healthy: A multi-center retrospective study2022
- Author(s)
  Nishio Mizuho, et al
- Journal Title
  
  Scientific reports (accepted)
  
  Volume: not available
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K17232
[Journal Article] Special Issue on “Machine Learning/Deep Learning in Medical Image Processing”2021
- Author(s)
  Nishio Mizuho
- Journal Title
  
  Applied Sciences
  
  Volume: 11 Issue: 23 Pages: 11483-11483
- DOI
  10.3390/app112311483
- Open Access
- Data Source
  KAKENHI-PROJECT-19K17232
[Journal Article] Development of Deep Learning Model for COVID-19 Pneumonia in Chest X-ray Images2021
- Author(s)
  西尾瑞穂, 小林大悟, 松尾秀俊, 西岡瑛子, 浦瀬靖代, 尾上宏治, 石藏礼一, 村上卓道
- Journal Title
  
  Medical Imaging and Information Sciences
  
  Volume: 38 Issue: 2 Pages: 53-56
- DOI
  10.11318/mii.38.53
- NAID
  130008062567
- ISSN
  0910-1543, 1880-4977
- Year and Date
  2021-07-06
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19H03599
[Journal Article] Homology-Based Image Processing for Automatic Classification of Histopathological Images of Lung Tissue2021
- Author(s)
  Nishio Mizuho、Nishio Mari、Jimbo Naoe、Nakane Kazuaki
- Journal Title
  
  Cancers
  
  Volume: 13 Issue: 6 Pages: 1192-1192
- DOI
  10.3390/cancers13061192
- NAID
  120007026364
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K17232, KAKENHI-PROJECT-19H03599, KAKENHI-PROJECT-18H03333
[Journal Article] Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network2021
- Author(s)
  Nishio Mizuho、Fujimoto Koji、Matsuo Hidetoshi、Muramatsu Chisako、Sakamoto Ryo、Fujita Hiroshi
- Journal Title
  
  Frontiers in Artificial Intelligence
  
  Volume: 4 Pages: 694815-694815
- DOI
  10.3389/frai.2021.694815
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19H03599, KAKENHI-PROJECT-19K17232
[Journal Article] Review of: "Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images"2021
- Author(s)
  Nishio Mizuho
- Journal Title
  
  Qeios
  
  Volume: not available
- Open Access
- Data Source
  KAKENHI-PROJECT-19K17232
[Journal Article] Lung segmentation on chest X‐ray images in patients with severe abnormal findings using deep learning2020
- Author(s)
  Nishio Mizuho、Fujimoto Koji、Togashi Kaori
- Journal Title
  
  International Journal of Imaging Systems and Technology
  
  Volume: 31 Issue: 2 Pages: 1002-1008
- DOI
  10.1002/ima.22528
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K17232, KAKENHI-PROJECT-19H03599
[Journal Article] Automatic detection of acute ischemic stroke using non-contrast computed tomography and two-stage deep learning model2020
- Author(s)
  Nishio M, Koyasu S, Noguchi S, Kiguchi T, Nakatsu K, Akasaka T, Yamada H, Itoh K.
- Journal Title
  
  Comput Methods Programs Biomed
  
  Volume: ｅｐｕｂ Pages: 105711-105711
- DOI
  10.1016/j.cmpb.2020.105711
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K17164, KAKENHI-PROJECT-19K17232
[Journal Article] Usefulness of gradient tree boosting for predicting histological subtype and EGFR mutation status of non-small cell lung cancer on 18F FDG-PET/CT.2020
- Author(s)
  Koyasu S, Nishio M, Isoda H, Nakamoto Y, Togashi K.
- Journal Title
  
  Ann Nucl Med
  
  Volume: 34 Issue: 1 Pages: 49-57
- DOI
  10.1007/s12149-019-01414-0
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K17164, KAKENHI-PROJECT-19K17232
[Journal Article] Automatic Pancreas Segmentation Using Coarse-Scaled 2D Model of Deep Learning: Usefulness of Data Augmentation and Deep U-Net2020
- Author(s)
  Nishio Mizuho、Noguchi Shunjiro、Fujimoto Koji
- Journal Title
  
  Applied Sciences
  
  Volume: 10 Issue: 10 Pages: 3360-3360
- DOI
  10.3390/app10103360
- Data Source
  KAKENHI-PROJECT-19K17232
[Journal Article] Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods2020
- Author(s)
  Nishio Mizuho、Noguchi Shunjiro、Matsuo Hidetoshi、Murakami Takamichi
- Journal Title
  
  Scientific Reports
  
  Volume: 10 Issue: 1 Pages: 17532-17532
- DOI
  10.1038/s41598-020-74539-2
- NAID
  120006938932
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K17232, KAKENHI-PROJECT-19H03599
[Journal Article] Attribute-guided image generation of three-dimensional computed tomography images of lung nodules using a generative adversarial network2020
- Author(s)
  Nishio Mizuho、Muramatsu Chisako、Noguchi Shunjiro、Nakai Hirotsugu、Fujimoto Koji、Sakamoto Ryo、Fujita Hiroshi
- Journal Title
  
  Computers in Biology and Medicine
  
  Volume: 126 Pages: 104032-104032
- DOI
  10.1016/j.compbiomed.2020.104032
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-19K17232, KAKENHI-PROJECT-19H03599
[Journal Article] Improving breast mass classification by shared data with domain transformation using a generative adversarial network2020
- Author(s)
  Muramatsu Chisako、Nishio Mizuho、Goto Takuma、Oiwa Mikinao、Morita Takako、Yakami Masahiro、Kubo Takeshi、Togashi Kaori、Fujita Hiroshi
- Journal Title
  
  Computers in Biology and Medicine
  
  Volume: 119 Pages: 103698-103698
- DOI
  10.1016/j.compbiomed.2020.103698
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17K09061, KAKENHI-PROJECT-19H03599
[Journal Article] Bone segmentation on whole-body CT using convolutional neural network with novel data augmentation techniques2020
- Author(s)
  Noguchi Shunjiro、Nishio Mizuho、Yakami Masahiro、Nakagomi Keita、Togashi Kaori
- Journal Title
  
  Computers in Biology and Medicine
  
  Volume: 121 Pages: 103767-103767
- DOI
  10.1016/j.compbiomed.2020.103767
- Data Source
  KAKENHI-PROJECT-19K17232
[Journal Article] Estimation of lung cancer risk using homology-based emphysema quantification in patients with lung nodules2019
- Author(s)
  Nishio Mizuho、Kubo Takeshi、Togashi Kaori
- Journal Title
  
  PLOS ONE
  
  Volume: 14 Issue: 1 Pages: e0210720-e0210720
- DOI
  10.1371/journal.pone.0210720
- NAID
  120006551762
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K19883
[Journal Article] Computer-aided diagnosis of lung nodule using gradient tree boosting and Bayesian optimization2018
- Author(s)
  Nishio Mizuho、Nishizawa Mitsuo、Sugiyama Osamu、Kojima Ryosuke、Yakami Masahiro、Kuroda Tomohiro、Togashi Kaori
- Journal Title
  
  PLOS ONE
  
  Volume: 13 Issue: 4 Pages: e0195875-e0195875
- DOI
  10.1371/journal.pone.0195875
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K19883
[Journal Article] Automatic inference model construction for computer-aided diagnosis of lung nodule: Explanation adequacy, inference accuracy, and experts' knowledge.2018
- Author(s)
  Kawagishi M, Kubo T, Sakamoto R, Yakami M, Fujimoto K, Aoyama G, Emoto Y, Sekiguchi H, Sakai K, Iizuka Y, Nishio M, Yamamoto H, Togashi K.
- Journal Title
  
  PLoS One
  
  Volume: 16 Issue: 11 Pages: e0207661-e0207661
- DOI
  10.1371/journal.pone.0207661
- NAID
  120006539611
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K19917, KAKENHI-PROJECT-16K19883
[Journal Article] Convolutional neural networks: an overview and application in radiology2018
- Author(s)
  Yamashita Rikiya、Nishio Mizuho、Do Richard Kinh Gian、Togashi Kaori
- Journal Title
  
  Insights into Imaging
  
  Volume: 9 Issue: 4 Pages: 611-629
- DOI
  10.1007/s13244-018-0639-9
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K19883
[Journal Article] Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning2018
- Author(s)
  Nishio Mizuho、Sugiyama Osamu、Yakami Masahiro、Ueno Syoko、Kubo Takeshi、Kuroda Tomohiro、Togashi Kaori
- Journal Title
  
  PLOS ONE
  
  Volume: 13 Issue: 7 Pages: e0200721-e0200721
- DOI
  10.1371/journal.pone.0200721
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K19883
[Journal Article] Computer-aided Diagnosis for Lung Cancer: Usefulness of Nodule Heterogeneity2017
- Author(s)
  Nishio M, Nagashima C
- Journal Title
  
  Acad Radiol.
  
  Volume: 24 Issue: 3 Pages: 328-336
- DOI
  10.1016/j.acra.2016.11.007
- Peer Reviewed / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-16K19883
[Journal Article] Convolutional auto-encoder for image denoising of ultra-low-dose CT2017
- Author(s)
  Nishio Mizuho、Nagashima Chihiro、Hirabayashi Saori、Ohnishi Akinori、Sasaki Kaori、Sagawa Tomoyuki、Hamada Masayuki、Yamashita Tatsuo
- Journal Title
  
  Heliyon
  
  Volume: 3 Issue: 8 Pages: e00393-e00393
- DOI
  10.1016/j.heliyon.2017.e00393
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K19883
[Journal Article] Automated prediction of emphysema visual score using homology-based quantification of low-attenuation lung region2017
- Author(s)
  Nishio Mizuho、Nakane Kazuaki、Kubo Takeshi、Yakami Masahiro、Emoto Yutaka、Nishio Mari、Togashi Kaori
- Journal Title
  
  PLOS ONE
  
  Volume: 12 Issue: 5 Pages: e0178217-e0178217
- DOI
  10.1371/journal.pone.0178217
- NAID
  120006358781
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-16K19883
[Journal Article] COPD・非COPD患者のCT画像における低濃度域の評価－LAA％、D、ホモロジー法の3手法の対比－2017
- Author(s)
  西尾瑞穂、中根和昭、田中豊
- Journal Title
  
  臨床放射線
  
  Volume: 62 Pages: 179-187
- Data Source
  KAKENHI-PROJECT-16K19883
[Journal Article] Response to the Letter from LUNGx Challenge2017
- Author(s)
  Nishio Mizuho
- Journal Title
  
  Academic Radiology
  
  Volume: 24 Issue: 7 Pages: 918-918
- DOI
  10.1016/j.acra.2017.04.003
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-16K19883
[Presentation] AI for diagnostic imaging of chest2022
- Author(s)
  西尾瑞穂
- Organizer
  第81回日本医学放射線学会総会
- Invited
- Data Source
  KAKENHI-PROJECT-19K17232
[Presentation] 放射線科におけるAI診断2022
- Author(s)
  西尾瑞穂
- Organizer
  日本デジタルパソロジー研究会第3回教育ウェブセミナー
- Invited
- Data Source
  KAKENHI-PROJECT-19K17232
[Presentation] 医用画像読影支援システムに対する導入後学習の検討2022
- Author(s)
  村松千左子，西尾瑞穂，八上全弘，久保武，大岩幹直，藤田広志
- Organizer
  電子情報通信学会医用画像研究会（MI研）
- Data Source
  KAKENHI-PROJECT-19H03599
[Presentation] 機械学習とホモロジー法の肺疾患への応用2022
- Author(s)
  西尾瑞穂
- Organizer
  明治大学MIMS共同研究集会「AIを用いた医療画像解析の現状と課題」
- Invited
- Data Source
  KAKENHI-PROJECT-19H03599
[Presentation] AI for diagnostic imaging of chest2022
- Author(s)
  Mizuho Nishio
- Organizer
  第 81 回日本医学放射線学会総会
- Invited
- Data Source
  KAKENHI-PROJECT-19H03599
[Presentation] Generation of three-dimensional CT images of lung nodules using deep learning2022
- Author(s)
  Takaaki Matsunaga, Mizuho Nishio, Hidetoshi Matsuo, Aki Miyazaki, Atsushi Kono, Ryo Sakamoto, Chisako Muramatsu, Hiroshi Fujita, Takamichi Murakami
- Organizer
  第 81 回日本医学放射線学会総会
- Data Source
  KAKENHI-PROJECT-19H03599
[Presentation] Investigation on continual training of computer-aided diagnosis systems by semi-supervised learning2022
- Author(s)
  Muramatsu C, Nishio M, Oiwa M, Yakami M, Kubo T, Fujita H
- Organizer
  4th International Conference on Intelligent Medicine and Image Processing (IMIP)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H03599
[Presentation] 画像診断におけるデジタル化について2022
- Author(s)
  西尾瑞穂
- Organizer
  Liver Imaging Seminar in Kyoto
- Invited
- Data Source
  KAKENHI-PROJECT-19K17232
[Presentation] 肺がんの治療薬選択に役立つ画像と AI について2021
- Author(s)
  西尾瑞穂
- Organizer
  第8回放射線セミナー
- Invited
- Data Source
  KAKENHI-PROJECT-19H03599
[Presentation] Deep-learning-based Image Super Resolution for Super High-resolution Computed Tomography2021
- Author(s)
  Mizuho Nishio, Yamagishi Yosuke, Matsuo Hidetoshi, Kagawa Kiyosumi, Negi Noriyuki, Kono Atsushi, Murakami Takamichi
- Organizer
  第 80 回日本医学放射線学会総会
- Data Source
  KAKENHI-PROJECT-19H03599
[Presentation] 深層学習を用いた低線量CTのノイズ除去と肺結節の生成2021
- Author(s)
  西尾瑞穂
- Organizer
  第28回日本CT検診学会学術集会
- Invited
- Data Source
  KAKENHI-PROJECT-19H03599
[Presentation] Deep Learningの肺結節への応用2021
- Author(s)
  西尾瑞穂
- Organizer
  第13回呼吸機能イメージング研究会学術集会
- Invited
- Data Source
  KAKENHI-PROJECT-19H03599
[Presentation] unpaired の学習データと構造保存損失を利用した深層学習によるMR・CT画像変換2020
- Author(s)
  西尾瑞穂
- Organizer
  第48回日本磁気共鳴医学会大会
- Invited
- Data Source
  KAKENHI-PROJECT-19H03599
[Presentation] 多重解像度処理を用いたホモロジー法による肺病理組織画像の自動鑑別2020
- Author(s)
  西尾瑞穂, 西尾真理, 神保直江
- Organizer
  明治大学MIMS共同研究集会「AIを用いた医療画像解析の現状と課題」
- Invited
- Data Source
  KAKENHI-PROJECT-19H03599
[Presentation] 放射線科画像診断における機械学習・深層学習の活用：その現状と未来2020
- Author(s)
  西尾瑞穂
- Organizer
  日本医療情報学会関西支部 2020年度第1回講演会
- Invited
- Data Source
  KAKENHI-PROJECT-19H03599
[Presentation] 深層学習を利用した疑似結節陰影画像の生成手法の検討2019
- Author(s)
  後藤拓真, 村松千左子, 西尾瑞穂, 八上全弘, 富樫かおり, 藤田広志
- Organizer
  医用画像情報学会令和元年度春季大会
- Data Source
  KAKENHI-PROJECT-19H03599
[Presentation] Improvement of nodule classification using domain-transformed chest X-ray images2019
- Author(s)
  C.Muramatsu, T.Goto, M.Nishio, M.Yakami, K.Togashi, and H.Fujita
- Organizer
  105th RSNA Scientific Assembly and Annual Meeting (RSNA 2019)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-19H03599
[Presentation] Generative adversarial networkを用いた肺結節の3次元CT画像の生成2019
- Author(s)
  西尾瑞穂, 野口峻二郎, 尾上宏治, 子安翔, 八上全弘, 村松千左子, 藤田広志, 富樫かおり
- Organizer
  第38回日本医用画像工学会大会
- Data Source
  KAKENHI-PROJECT-19H03599
[Presentation] Automatic segmentation of uterus with malignant tumor on MRI using U-net.2018
- Author(s)
  Yasuhisa Kurata, Mizuho Nishio, Koji Fujimoto, Masahiro Yakami, Aki Kido, Hiroyoshi Isoda, Kaori Togashi
- Organizer
  Computer Assisted Radiology and Surgery. 32th International Congress and Exhibition
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K19883
[Presentation] ホモロジーによる肺気腫の定量評価と視覚評価の関係および機械学習による視覚評価の予測について2017
- Author(s)
  西尾瑞穂、中根和昭、久保武、八上全弘、江本豊、西尾真理、富樫かおり
- Organizer
  第９回呼吸機能イメージング研究会学術集会
- Data Source
  KAKENHI-PROJECT-16K19883
[Presentation] Relationship between lung cancer and homology-based CT quantification in CT database of lung nodules2017
- Author(s)
  Mizuho Nishio, Kazuaki Nakane, Takeshi Kubo, Masahiro Yakami, Yutaka Emoto, Thai Aakasaka, Koji Onoue, Kaori Togashi
- Organizer
  Computer Assisted Radiology and Surgery (CARS)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-16K19883
[Presentation] 患者情報を考慮した胸部CT画像の診断支援の試み2017
- Author(s)
  上野翔子, 杉山治, 西尾瑞穂, 八上全弘, 山本豪志朗, 岡本和也, 南部雅幸, 黒田知宏
- Organizer
  第4回「JAMI医用知能情報学研究会-JSAI医用人工知能研究会」合同研究会
- Data Source
  KAKENHI-PROJECT-16K19883
[Presentation] 深層学習とCT画像データベースを用いたコンピューター支援支援診断システムの開発2017
- Author(s)
  西尾瑞穂
- Organizer
  日本医療情報学会　関西支部2016年度第2回講演会
- Invited
- Data Source
  KAKENHI-PROJECT-16K19883
[Presentation] 3次元特徴を捉えた深層学習による肺結節のコンピュータ診断支援システムの設計2017
- Author(s)
  上野翔子, 杉山治, 西尾瑞穂, 八上全弘, 山本豪志朗, 岡本和也, 南部雅幸, 黒田知宏
- Organizer
  第61回システム制御情報学会研究発表講演会
- Data Source
  KAKENHI-PROJECT-16K19883

1. MURASE KENYA (50157773)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
2. 藤本晃司 (10580110)

# of Collaborated Projects: 2 results

# of Collaborated Products: 11 results
3. Yoshikawa Takeshi (40332788)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
4. Fujita Hiroshi (10124033)

# of Collaborated Projects: 1 results

# of Collaborated Products: 9 results
5. 大野良治 (30324924)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 神山久信 (30546487)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. 松本純明 (60397833)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
8. 祖父江慶太郎 (90622027)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
9. 杉村和朗 (00136384)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
10. 村松千左子 (80509422)

# of Collaborated Projects: 1 results

# of Collaborated Products: 9 results
11. 八上全弘 (70580108)

# of Collaborated Projects: 1 results

# of Collaborated Products: 7 results
12. 坂本亮 (50741930)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results
13. 富樫かおり (90135484)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
14. 杉山治 (40586038)

# of Collaborated Projects: 1 results

# of Collaborated Products: 3 results
15. 倉田靖桐 (40836178)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results
16. 松尾秀俊 (20878251)

# of Collaborated Projects: 1 results

# of Collaborated Products: 5 results
17. 子安翔

# of Collaborated Projects: 0 results

# of Collaborated Products: 2 results
18. 笠島裕明

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Nishio Mizuho 西尾 瑞穂

Research Projects

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Co-Researchers

Application of large language models to medical natural language processingPrincipal Investigator

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放射線診断学の画像とレポートを用いた深層学習の応用Principal Investigator

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Deep learning for automatic diagnosis of chest X-ray images and its computer-aided diagnosisPrincipal Investigator

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Basic research on the construction of a database of diversity lung nodules and the development of a self-learning diagnostic imaging support system

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Development of computer-aided diagnosis system for lung cancer CT screening using deep learningPrincipal Investigator

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MR Hemodynamic Evaluations of Hepatic Vasculatures

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[Book] Lung Imaging and CADx. Computer-aided diagnosis of lung nodules: systems for estimation of lung cancer probability and false positive reduction of lung nodule detection2019

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[Journal Article] Development of Pericardial Fat Count Images Using a Combination of Three Different Deep-Learning Models: Image Translation Model From Chest Radiograph Image to Projection Image of Three-Dimensional Computed Tomography2024

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[Journal Article] Stromal area differences with epithelial-mesenchymal transition gene changes in conjunctival and orbital mucosa-associated lymphoid tissue lymphoma2024

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[Journal Article] Fully automatic summarization of radiology reports using natural language processing with large language models2024

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[Journal Article] Classification of cancer TNM stage from Japanese radiology report using on-premise LLM at NTCIR-17 MedNLP-SC RR-TNM subtask2023

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[Journal Article] Label Distribution Learning for Automatic Cancer Grading of Histopathological Images of Prostate Cancer2023

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[Journal Article] Comparison between pystan and numpyro in Bayesian item response theory: evaluation of agreement of estimated latent parameters and sampling performance2023

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[Journal Article] Nodal infiltration in endometrial cancer: a prediction model using best subset regression2023

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[Journal Article] Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system2023

Author(s)

Nishio Mizuho 西尾瑞穂