2019 - 2023 Computer-aided and automatic diagnosis of chest x-ray images using deep learning
2019 - 2022 Basic research on the construction of a database of diversity lung nodules and the development of a self-learning diagnostic imaging support system
2016 - 2019 Development of computer-aided diagnosis system for lung cancer CT screening using deep learning
2018 - 2019 敵対性生成ネットワークによる胸部単純 X 線写真の擬似病変の生成
2014 - 2017 MR Hemodynamic Evaluations of Hepatic Vasculatures
2015 - 2016 深層学習を用いた超低線量CTのノイズ除去とその臨床応用
2014 - 2015 超低線量CTの臨床応用について
2013 - Emphysema Quantification on Low-Dose CT by Percentage of Low-Attenuation Volume and Size Distribution Analysis of Low-Attenuation Clusters: Effect of Adaptive Iterative Dose Reduction using 3D Processing
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Papers (125)：
Takaaki Matsunaga, Atsushi Kono, Mizuho Nishio, Takahiro Yoshii, Hidetoshi Matsuo, Mai Takahashi, Takuya Takahashi, Yu Taniguchi, Hidekazu Tanaka, Kenichi Hirata, et al. Development and web deployment of prediction model for pulmonary arterial pressure in chronic thromboembolic pulmonary hypertension using machine learning. PloS one. 2024. 19. 4. e0300716
Mizuho Nishio, Takaaki Matsunaga, Hidetoshi Matsuo, Munenobu Nogami, Yasuhisa Kurata, Koji Fujimoto, Osamu Sugiyama, Toshiaki Akashi, Shigeki Aoki, Takamichi Murakami. Fully automatic summarization of radiology reports using natural language processing with large language models. Informatics in Medicine Unlocked. 2024. 46. 101465-101465
Mizuki Tagami, Hiroaki Kasashima, Anna Kakehashi, Atsuko Yoshikawa, Mizuho Nishio, Norihiko Misawa, Atsushi Sakai, Hideki Wanibuchi, Masakazu Yashiro, Atsushi Azumi, et al. Stromal area differences with epithelial-mesenchymal transition gene changes in conjunctival and orbital mucosa-associated lymphoid tissue lymphoma. Frontiers in oncology. 2024. 14. 1277749-1277749
Takaaki Matsunaga, Atsushi Kono, Hidetoshi Matsuo, Kaoru Kitagawa, Mizuho Nishio, Hiromi Hashimura, Yu Izawa, Takayoshi Toba, Kazuki Ishikawa, Akie Katsuki, et al. 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 Tomography. Academic radiology. 2023. 31. 3. 822-829
Yuka Kuriyama Matsumoto, Yuki Himoto, Mizuho Nishio, Nao Kikkawa, Satoshi Otani, Kimiteru Ito, Koji Yamanoi, Tomoyasu Kato, Koji Fujimoto, Yasuhisa Kurata, et al. Nodal infiltration in endometrial cancer: a prediction model using best subset regression. European radiology. 2023
2024/01 - 現在 BMC Medical Informatics and Decision Making Senior Editorial Board Member
2022/08 - 現在 Frontiers in Nuclear Medicine Associate Editor
2021/08 - 現在 Cancers Lead Guest Editor, Special Issue "Multi-Modality Imaging and Multi-Omics Approach of Cancers With Machine Learning/Deep Learning"
2020/11 - 現在 International Journal of Imaging Systems and Technology EDITORIAL BOARD MEMBER
2020/09 - 2023/12 BMC Medical Informatics and Decision Making EDITORIAL BOARD MEMBER
2021/11 - 2022/08 Frontiers in Nuclear Medicine Review Editor
2021/01 - 2022/04 Frontiers in Artificial Intelligence Lead Guest Editor, Research Topic "Automatic Lung Nodule Detection with Deep Learning"
2020/02 - 2021/04 Applied Science Lead Guest Editor, Special Issue "Machine Learning/Deep Learning in Medical Image Processing"
2019/06 - 2020/11 Heliyon Editorial Advisory Board Member
2019/04 - 2019/05 Heliyon Editorial Board Member
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Awards (5)：
2023/05 - The 50 most cited articles on artificial intelligence for lung cancer imaging 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 learning
2022/04 - Annals of Nuclear Medicine 2021 Frequently Cited Papers Usefulness of gradient tree boosting for predicting histological subtype and EGFR mutation status of non-small cell lung cancer on F-18 FDG-PET/CT.
2021/02 - Translational Lung Cancer Research Reviewer of the Month (February, 2021)
2019/12 - PLOS ONE. The top 10% most cited PLOS ONE authors of 2018 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 learning
2019/03 - Insights into Imaging Most Downloaded Paper Award 2018 Convolutional neural networks: an overview and application in radiology
