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Hidetoshi Matsuo

Showing results (11-20 of 20) with videos related to

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Medical Physics|August 31, 2023
Prognosis prediction of patients with malignant pleural mesothelioma using conditional variational autoencoder on 3D PET images and clinical dataHidetoshi Matsuo, Kazuhiro Kitajima, Atsushi K Kono, et al.
Scientific Reports|June 30, 2022
Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networksHidetoshi Matsuo, Mizuho Nishio, Munenobu Nogami, et al.
European Radiology|April 14, 2021
Deep learning model for predicting gestational age after the first trimester using fetal MRIYasuyuki Kojita, Hidetoshi Matsuo, Tomonori Kanda, et al.
Scientific Reports|November 10, 2020
Diagnostic accuracy of deep-learning with anomaly detection for a small amount of imbalanced data: discriminating malignant parotid tumors in MRIHidetoshi Matsuo, Mizuho Nishio, Tomonori Kanda, et al.
Plos One|April 5, 2024
Development and web deployment of prediction model for pulmonary arterial pressure in chronic thromboembolic pulmonary hypertension using machine learningTakaaki Matsunaga, Atsushi Kono, Mizuho Nishio, et al.
Academic Radiology|November 1, 2023
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 TomographyTakaaki Matsunaga, Atsushi Kono, Hidetoshi Matsuo, et al.
Scientific Reports|May 17, 2022
Deep learning model for the automatic classification of COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy: a multi-center retrospective studyMizuho Nishio, Daigo Kobayashi, Eiko Nishioka, et al.
Scientific Reports|October 16, 2023
Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning systemAki Miyazaki, Kengo Ikejima, Mizuho Nishio, et al.
Annals of Nuclear Medicine|May 9, 2026
Zero-TE MRI-based attenuation correction for bone components on chest [<sup>18</sup>F] FDG PET/MRI: accuracy, repeatability, and external validation of an unsupervised deep learning approach using unpaired PET/CT dataMunenobu Nogami, Hidetoshi Matsuo, Mizuho Nishio, et al.
Peerj|June 22, 2026
Development and evaluation of a deep learning-assisted diagnostic support system for radiographer preliminary clinical evaluation of intracranial hemorrhageKazuma Tsukamoto, Mizuho Nishio, Ryo Kurosaki, et al.
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Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
Medical Physics|August 31, 2023
Prognosis prediction of patients with malignant pleural mesothelioma using conditional variational autoencoder on 3D PET images and clinical dataHidetoshi Matsuo, Kazuhiro Kitajima, Atsushi K Kono, et al.
Scientific Reports|June 30, 2022
Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networksHidetoshi Matsuo, Mizuho Nishio, Munenobu Nogami, et al.
European Radiology|April 14, 2021
Deep learning model for predicting gestational age after the first trimester using fetal MRIYasuyuki Kojita, Hidetoshi Matsuo, Tomonori Kanda, et al.
Scientific Reports|November 10, 2020
Diagnostic accuracy of deep-learning with anomaly detection for a small amount of imbalanced data: discriminating malignant parotid tumors in MRIHidetoshi Matsuo, Mizuho Nishio, Tomonori Kanda, et al.
Plos One|April 5, 2024
Development and web deployment of prediction model for pulmonary arterial pressure in chronic thromboembolic pulmonary hypertension using machine learningTakaaki Matsunaga, Atsushi Kono, Mizuho Nishio, et al.
Academic Radiology|November 1, 2023
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 TomographyTakaaki Matsunaga, Atsushi Kono, Hidetoshi Matsuo, et al.
Scientific Reports|May 17, 2022
Deep learning model for the automatic classification of COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy: a multi-center retrospective studyMizuho Nishio, Daigo Kobayashi, Eiko Nishioka, et al.
Scientific Reports|October 16, 2023
Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning systemAki Miyazaki, Kengo Ikejima, Mizuho Nishio, et al.
Annals of Nuclear Medicine|May 9, 2026
Zero-TE MRI-based attenuation correction for bone components on chest [<sup>18</sup>F] FDG PET/MRI: accuracy, repeatability, and external validation of an unsupervised deep learning approach using unpaired PET/CT dataMunenobu Nogami, Hidetoshi Matsuo, Mizuho Nishio, et al.
Peerj|June 22, 2026
Development and evaluation of a deep learning-assisted diagnostic support system for radiographer preliminary clinical evaluation of intracranial hemorrhageKazuma Tsukamoto, Mizuho Nishio, Ryo Kurosaki, et al.
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