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Toshimasa Matsumoto

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The British Journal of Radiology|October 4, 2022
Artificial intelligence-based model for COVID-19 prognosis incorporating chest radiographs and clinical data; a retrospective model development and validation studyShannon L Walston, Toshimasa Matsumoto, Yukio Miki, et al.
European Respiratory Review : an Official Journal of the European Respiratory Society|June 7, 2023
Deep learning for pneumothorax diagnosis: a systematic review and meta-analysisTakahiro Sugibayashi, Shannon L Walston, Toshimasa Matsumoto, et al.
European Radiology|March 31, 2022
Artificial intelligence-based detection of atrial fibrillation from chest radiographsToshimasa Matsumoto, Shoichi Ehara, Shannon L Walston, et al.
Journal of Digital Imaging|August 8, 2022
Deep Learning-Based Time-to-Death Prediction Model for COVID-19 Patients Using Clinical Data and Chest RadiographsToshimasa Matsumoto, Shannon Leigh Walston, Michael Walston, et al.
Annals of Nuclear Medicine|February 19, 2022
Deep learning-based detection of parathyroid adenoma by <sup>99m</sup>Tc-MIBI scintigraphy in patients with primary hyperparathyroidismAtsushi Yoshida, Daiju Ueda, Shigeaki Higashiyama, et al.
The Lancet. Healthy Longevity|August 19, 2023
Chest radiography as a biomarker of ageing: artificial intelligence-based, multi-institutional model development and validation in JapanYasuhito Mitsuyama, Toshimasa Matsumoto, Hiroyuki Tatekawa, et al.
Journal of Orthopaedic Science : Official Journal of the Japanese Orthopaedic Association|May 26, 2023
Deep learning-based screening tool for rotator cuff tears on shoulder radiographyRyosuke Iio, Daiju Ueda, Toshimasa Matsumoto, et al.
Radiology. Artificial Intelligence|April 8, 2022
Development and Validation of Artificial Intelligence-based Method for Diagnosis of Mitral Regurgitation from Chest RadiographsDaiju Ueda, Shoichi Ehara, Akira Yamamoto, et al.
European Heart Journal. Digital Health|January 30, 2023
Artificial intelligence-based detection of aortic stenosis from chest radiographsDaiju Ueda, Akira Yamamoto, Shoichi Ehara, et al.
Radiology|August 1, 2023
AI-based Virtual Synthesis of Methionine PET from Contrast-enhanced MRI: Development and External Validation StudyHirotaka Takita, Toshimasa Matsumoto, Hiroyuki Tatekawa, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

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Pageof 2
The British Journal of Radiology|October 4, 2022
Artificial intelligence-based model for COVID-19 prognosis incorporating chest radiographs and clinical data; a retrospective model development and validation studyShannon L Walston, Toshimasa Matsumoto, Yukio Miki, et al.
European Respiratory Review : an Official Journal of the European Respiratory Society|June 7, 2023
Deep learning for pneumothorax diagnosis: a systematic review and meta-analysisTakahiro Sugibayashi, Shannon L Walston, Toshimasa Matsumoto, et al.
European Radiology|March 31, 2022
Artificial intelligence-based detection of atrial fibrillation from chest radiographsToshimasa Matsumoto, Shoichi Ehara, Shannon L Walston, et al.
Journal of Digital Imaging|August 8, 2022
Deep Learning-Based Time-to-Death Prediction Model for COVID-19 Patients Using Clinical Data and Chest RadiographsToshimasa Matsumoto, Shannon Leigh Walston, Michael Walston, et al.
Annals of Nuclear Medicine|February 19, 2022
Deep learning-based detection of parathyroid adenoma by <sup>99m</sup>Tc-MIBI scintigraphy in patients with primary hyperparathyroidismAtsushi Yoshida, Daiju Ueda, Shigeaki Higashiyama, et al.
The Lancet. Healthy Longevity|August 19, 2023
Chest radiography as a biomarker of ageing: artificial intelligence-based, multi-institutional model development and validation in JapanYasuhito Mitsuyama, Toshimasa Matsumoto, Hiroyuki Tatekawa, et al.
Journal of Orthopaedic Science : Official Journal of the Japanese Orthopaedic Association|May 26, 2023
Deep learning-based screening tool for rotator cuff tears on shoulder radiographyRyosuke Iio, Daiju Ueda, Toshimasa Matsumoto, et al.
Radiology. Artificial Intelligence|April 8, 2022
Development and Validation of Artificial Intelligence-based Method for Diagnosis of Mitral Regurgitation from Chest RadiographsDaiju Ueda, Shoichi Ehara, Akira Yamamoto, et al.
European Heart Journal. Digital Health|January 30, 2023
Artificial intelligence-based detection of aortic stenosis from chest radiographsDaiju Ueda, Akira Yamamoto, Shoichi Ehara, et al.
Radiology|August 1, 2023
AI-based Virtual Synthesis of Methionine PET from Contrast-enhanced MRI: Development and External Validation StudyHirotaka Takita, Toshimasa Matsumoto, Hiroyuki Tatekawa, et al.
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