| Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods M Nishio, S Noguchi, H Matsuo, T Murakami Scientific reports 10 (1), 17532, 2020 | 153 | 2020 |
| Diagnostic accuracy of deep-learning with anomaly detection for a small amount of imbalanced data: discriminating malignant parotid tumors in MRI H Matsuo, M Nishio, T Kanda, Y Kojita, AK Kono, M Hori, M Teshima, ... Scientific Reports 10 (1), 19388, 2020 | 38 | 2020 |
| Deep learning model for the automatic classification of COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy: a multi-center retrospective study M Nishio, D Kobayashi, E Nishioka, H Matsuo, Y Urase, K Onoue, ... Scientific Reports 12 (1), 8214, 2022 | 27 | 2022 |
| Deep learning model for predicting gestational age after the first trimester using fetal MRI Y Kojita, H Matsuo, T Kanda, M Nishio, K Sofue, M Nogami, AK Kono, ... European Radiology 31, 3775-3782, 2021 | 27 | 2021 |
| Lung cancer segmentation with transfer learning: usefulness of a pretrained model constructed from an artificial dataset generated using a generative adversarial network M Nishio, K Fujimoto, H Matsuo, C Muramatsu, R Sakamoto, H Fujita Frontiers in artificial intelligence 4, 694815, 2021 | 24 | 2021 |
| Unsupervised-learning-based method for chest MRI–CT transformation using structure constrained unsupervised generative attention networks H Matsuo, M Nishio, M Nogami, F Zeng, T Kurimoto, S Kaushik, ... Scientific reports 12 (1), 11090, 2022 | 13 | 2022 |
| Deep learning with deep convolutional neural network using FDG-PET/CT for malignant pleural mesothelioma diagnosis K Kitajima, H Matsuo, A Kono, K Kuribayashi, T Kijima, M Hashimoto, ... Oncotarget 12 (12), 1187, 2021 | 9 | 2021 |
| Label distribution learning for automatic cancer grading of histopathological images of prostate cancer M Nishio, H Matsuo, Y Kurata, O Sugiyama, K Fujimoto Cancers 15 (5), 1535, 2023 | 7 | 2023 |
| Sternal fracture complicated by a subcutaneous abscess in a 5-year-old boy and diagnosed using point-of-care ultrasound S Fukuhara, T Sameshima, H Matsuo, T Ohashi The Journal of Emergency Medicine 56 (5), 536-539, 2019 | 7 | 2019 |
| Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system A Miyazaki, K Ikejima, M Nishio, M Yabuta, H Matsuo, K Onoue, ... Scientific Reports 13 (1), 17533, 2023 | 2 | 2023 |
| Bayesian multidimensional nominal response model for observer study of radiologists M Nishio, D Kobayashi, H Matsuo, Y Urase, E Nishioka, T Murakami Japanese Journal of Radiology 41 (4), 449-455, 2023 | 2 | 2023 |
| Usefulness of pystan and numpyro in Bayesian item response theory M Nishio, E Ota, H Matsuo, T Matsunaga, A Miyazaki, T Murakami medRxiv, 2023.03. 29.23287903, 2023 | 2 | 2023 |
| Zero-TE MRI-based attenuation correction for chest FDG PET/MRI with deep learning using unpaired PET/CT data: Quantitative analysis for difference in values of normal organ and … M Nogami, H Matsuo, M Nishio, F Zeng, J Inukai, T Kurimoto, K Kubo, ... Journal of Nuclear Medicine 62 (supplement 1), 1531-1531, 2021 | 2 | 2021 |
| Zero-shot classification of TNM staging for Japanese radiology report using ChatGPT at RR-TNM subtask of NTCIR-17 MedNLP-SC M Nishio, H Matsuo, T Matsunaga, K Fujimoto, M Rohanian, ... Proceedings of the 17th NTCIR Conference on Evaluation of Information Access …, 2023 | 1 | 2023 |
| Development and web deployment of prediction model for pulmonary arterial pressure in chronic thromboembolic pulmonary hypertension using machine learning T Matsunaga, A Kono, M Nishio, T Yoshii, H Matsuo, M Takahashi, ... Plos one 19 (4), e0300716, 2024 | | 2024 |
| Fully automatic summarization of radiology reports using natural language processing with large language models M Nishio, T Matsunaga, H Matsuo, M Nogami, Y Kurata, K Fujimoto, ... Informatics in Medicine Unlocked, 101465, 2024 | | 2024 |
| 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 … T Matsunaga, A Kono, H Matsuo, K Kitagawa, M Nishio, H Hashimura, ... Academic Radiology 31 (3), 822-829, 2024 | | 2024 |
| Author Correction: Accelerated preprocessing of large numbers of brain images by parallel computing on supercomputers T Jimbo, H Matsuo, Y Imoto, T Sodemura, M Nishimori, Y Fukui, T Hayashi, ... Scientific Reports 14 (1), 2233, 2024 | | 2024 |
| Prognosis prediction of patients with malignant pleural mesothelioma using conditional variational autoencoder on 3D PET images and clinical data H Matsuo, K Kitajima, AK Kono, K Kuribayashi, T Kijima, M Hashimoto, ... Medical Physics 50 (12), 7548-7557, 2023 | | 2023 |
| Accelerated preprocessing of large numbers of brain images by parallel computing on supercomputers T Jimbo, H Matsuo, Y Imoto, T Sodemura, M Nishimori, Y Fukui, T Hayashi, ... Scientific Reports 13 (1), 19901, 2023 | | 2023 |
Mizuho NishioKyoto UniversityVerified email at kuhp.kyoto-u.ac.jp
