Publications by authors named "Akitoshi Shimazaki"

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Visual and quantitative evaluation of microcalcifications in mammograms with deep learning-based super-resolution.
Takashi Honjo, Daiju Ueda, Yutaka Katayama, Akitoshi Shimazaki, Atsushi Jogo

Eur J Radiol· September 2022

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Development and validation of a deep learning model for detection of breast cancers in mammography from multi-institutional datasets.
Daiju Ueda, Akira Yamamoto, Naoyoshi Onoda, Tsutomu Takashima, Satoru Noda, Akitoshi Shimazaki

PLoS One· May 2022

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Artificial intelligence-based detection of aortic stenosis from chest radiographs.
Daiju Ueda, Akira Yamamoto, Shoichi Ehara, Shinichi Iwata, Koji Abo, Akitoshi Shimazaki

Eur Heart J Digit Health· March 2022

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Development and Validation of Artificial Intelligence-based Method for Diagnosis of Mitral Regurgitation from Chest Radiographs.
Daiju Ueda, Shoichi Ehara, Akira Yamamoto, Shinichi Iwata, Koji Abo, Akitoshi Shimazaki

Radiol Artif Intell· March 2022

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Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method.
Akitoshi Shimazaki, Daiju Ueda, Antoine Choppin, Akira Yamamoto, Takashi Honjo

Sci Rep· January 2022

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Training, Validation, and Test of Deep Learning Models for Classification of Receptor Expressions in Breast Cancers From Mammograms.
Daiju Ueda, Akira Yamamoto, Tsutomu Takashima, Naoyoshi Onoda, Satoru Noda, Akitoshi Shimazaki

JCO Precis Oncol· November 2021

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Artificial intelligence-supported lung cancer detection by multi-institutional readers with multi-vendor chest radiographs: a retrospective clinical validation study.
Daiju Ueda, Akira Yamamoto, Akitoshi Shimazaki, Shannon Leigh Walston, Toshimasa Matsumoto

BMC Cancer· October 2021

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Deep Learning-based Angiogram Generation Model for Cerebral Angiography without Misregistration Artifacts.
Daiju Ueda, Yutaka Katayama, Akira Yamamoto, Tsutomu Ichinose, Hironori Arima, Akitoshi Shimazaki

Radiology· June 2021

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Visualizing "featureless" regions on mammograms classified as invasive ductal carcinomas by a deep learning algorithm: the promise of AI support in radiology.
Daiju Ueda, Akira Yamamoto, Tsutomu Takashima, Naoyoshi Onoda, Satoru Noda, Akitoshi Shimazaki

Jpn J Radiol· April 2021

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Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms.
Daiju Ueda, Akira Yamamoto, Masataka Nishimori, Taro Shimono, Satoshi Doishita, Akitoshi Shimazaki

Radiology· January 2019

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Technical and clinical overview of deep learning in radiology.
Daiju Ueda, Akitoshi Shimazaki, Yukio Miki

Jpn J Radiol· January 2019

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