Akitoshi Shimazaki
Osaka, Japan
Last Updated: 09/26/2026
Save publications for later
Sign Up
Not sure about your diagnosis?
Check Your Symptoms
Found 11 publications
Visual and quantitative evaluation of microcalcifications in mammograms with deep learning-based super-resolution.
Journal: European journal of radiology
Published: March 29, 2022
Training, Validation, and Test of Deep Learning Models for Classification of Receptor Expressions in Breast Cancers From Mammograms.
Journal: JCO precision oncology
Published: January 07, 2022
Development and validation of a deep learning model for detection of breast cancers in mammography from multi-institutional datasets.
Journal: PloS one
Published: October 04, 2021
Development and Validation of Artificial Intelligence-based Method for Diagnosis of Mitral Regurgitation from Chest Radiographs.
Journal: Radiology. Artificial intelligence
Published: August 13, 2021
Artificial intelligence-based detection of aortic stenosis from chest radiographs.
Journal: European heart journal. Digital health
Published: August 13, 2021
Artificial intelligence-supported lung cancer detection by multi-institutional readers with multi-vendor chest radiographs: a retrospective clinical validation study.
Journal: BMC cancer
Published: June 28, 2021
Visualizing "featureless" regions on mammograms classified as invasive ductal carcinomas by a deep learning algorithm: the promise of AI support in radiology.
Journal: Japanese journal of radiology
Published: July 07, 2020
Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms.
Journal: Radiology
Published: October 24, 2018
Technical and clinical overview of deep learning in radiology.
Journal: Japanese journal of radiology
Published: October 15, 2018
Showing 1-11 of 11
Last Updated: 09/26/2026