Kenji Yasue

Inashiki, Japan

Last Updated: 09/26/2026

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Found 26 publications

Correction: Establishing discard criteria for lead aprons using deep learning-based quantification of defect area on X-ray fluoroscopic video.

Correction: Establishing discard criteria for lead aprons using deep learning-based quantification of defect area on X-ray fluoroscopic video.

Journal: Radiological physics and technology

Published: August 08, 2026

The 59th Annual Meeting of TWSRT and the International Conference of Medical Imaging

The 59th Annual Meeting of TWSRT and the International Conference of Medical Imaging

Journal: Nihon Hoshasen Gijutsu Gakkai zasshi

Published: July 20, 2026

Calculation of Ambient Dose in X-ray Fluoroscopy Room Using Monte Carlo Simulation Based on CAD Data

Calculation of Ambient Dose in X-ray Fluoroscopy Room Using Monte Carlo Simulation Based on CAD Data

Journal: Nihon Hoshasen Gijutsu Gakkai zasshi

Published: June 17, 2026

The impact of data extraction percentage and deep learning-based reconstruction on image quality in gated PET/computed tomography.

The impact of data extraction percentage and deep learning-based reconstruction on image quality in gated PET/computed tomography.

Journal: Nuclear medicine communications

Published: March 27, 2026

Establishing discard criteria for lead aprons using deep learning-based quantification of defect area on X-ray fluoroscopic video.

Establishing discard criteria for lead aprons using deep learning-based quantification of defect area on X-ray fluoroscopic video.

Journal: Radiological physics and technology

Published: February 08, 2026

Comparison of three arm-positioning techniques for minimizing motion artifacts in breast magnetic resonance imaging: a prospective volunteer study.

Comparison of three arm-positioning techniques for minimizing motion artifacts in breast magnetic resonance imaging: a prospective volunteer study.

Journal: Breast cancer (Tokyo, Japan)

Published: November 09, 2025

Patient-specific dose estimation considering subject thickness with an RGB-D camera: A phantom study.

Patient-specific dose estimation considering subject thickness with an RGB-D camera: A phantom study.

Journal: Radiography (London, England : 1995)

Published: June 13, 2025

Automatic measurement of pharyngeal contraction ratio during deglutition using 2D cine MRI with deep learning: A pilot study.

Automatic measurement of pharyngeal contraction ratio during deglutition using 2D cine MRI with deep learning: A pilot study.

Journal: Radiological physics and technology

Published: March 24, 2025

Comparison of image quality evaluation methods for magnetic resonance imaging using compressed sensing-sensitivity encoding (CS-SENSE).

Comparison of image quality evaluation methods for magnetic resonance imaging using compressed sensing-sensitivity encoding (CS-SENSE).

Journal: Radiological physics and technology

Published: February 08, 2025

Assessing the consistency of CT-based ventilation imaging under noise reduction processing with simulated quantum noise using a nonrigid alveoli phantom.

Assessing the consistency of CT-based ventilation imaging under noise reduction processing with simulated quantum noise using a nonrigid alveoli phantom.

Journal: Frontiers in radiology

Published: January 27, 2025

Influence of obtaining medical records and laboratory data on the sensitivity of diagnostic imaging assessment by radiological technologists.

Influence of obtaining medical records and laboratory data on the sensitivity of diagnostic imaging assessment by radiological technologists.

Journal: Radiological physics and technology

Published: October 28, 2024

Development of estimation method for T1 and T2 values using the relaxivity of contrast agent and coagulant for a magnetic resonance imaging phantom.

Development of estimation method for T1 and T2 values using the relaxivity of contrast agent and coagulant for a magnetic resonance imaging phantom.

Journal: Radiological physics and technology

Published: August 24, 2024

Showing 1-12 of 26

Last Updated: 09/26/2026