Ryoji Mikayama
Higashi, 8128583, Japan
Last Updated: 09/26/2026
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Found 24 publications
The effect of lipid content on virtual non-contrast images and iodine density estimation from dual-layer spectral computed tomography: A phantom study.
Journal: Radiography (London, England : 1995)
Published: February 13, 2026
Time-intensity Profiles and T1-corrected Arterial Transit Time from Multi-delay Pseudo-continuous ASL with a Variable-TR Scheme for the Characterization of Adult-type Diffuse Glioma.
Journal: Clinical neuroradiology
Published: November 28, 2025
Impact of heart rate on coronary artery stenosis grading accuracy using deep learning-based fast kV-switching CT: A phantom study.
Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Published: October 04, 2024
Hybrid Multidelay PCASL Acquired With Time-Encoded and Variable-TR Schemes for the Assessment of Cerebral Perfusion in Moyamoya Disease.
Journal: NMR in biomedicine
Published: August 27, 2024
Multi-delay arterial spin labeling using a variable repetition time scheme in Moyamoya disease: Comparison with single-delay arterial spin labeling.
Journal: European journal of radiology
Published: June 14, 2024
The Feasibility of Deep Learning-Based Reconstruction for Low-Tube-Voltage CT Angiography for Transcatheter Aortic Valve Implantation.
Journal: Journal of computer assisted tomography
Published: August 14, 2023
Reproducibility of quantitative ADC, T1, and T2 measurement on the cerebral cortex: Utility of whole brain echo-planar DWI with compressed SENSE (EPICS-DWI): A pilot study.
Journal: European journal of radiology open
Published: April 24, 2023
Effect of iodine concentration and body size on iodine subtraction in virtual non-contrast imaging: A phantom study.
Journal: Radiography (London, England : 1995)
Published: October 23, 2022
Assessment of cerebral perfusion in moyamoya disease with dynamic pseudo-continuous arterial spin labeling using a variable repetition time scheme with optimized background suppression.
Journal: Neuroradiology
Published: September 25, 2022
A deep learning model based on fusion images of chest radiography and X-ray sponge images supports human visual characteristics of retained surgical items detection.
Journal: International journal of computer assisted radiology and surgery
Published: June 27, 2022
Deep-learning reconstruction for ultra-low-dose lung CT: Volumetric measurement accuracy and reproducibility of artificial ground-glass nodules in a phantom study.
Journal: The British journal of radiology
Published: December 15, 2021
Last Updated: 09/26/2026