Takashi Shirasaka - Publications

Temporal image compression in cardiac computed tomography: impact of temporal super resolution and noise reduction for assessing left ventricular function.

Journal: Radiological physics and technology

Published: March 17, 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

Right Ventricular Strain With 4-Dimensional Computed Tomography Identifies Pulmonary Hypertension in Adults With Repaired Tetralogy of Fallot.

Journal: Circulation journal : official journal of the Japanese Circulation Society

Published: August 21, 2024

Improvement of image quality of dentomaxillofacial region in ultra-high-resolution CT: a phantom study.

Journal: Dento maxillo facial radiology

Published: July 09, 2024

Clinical utility of non-gated 4-min delayed dual-energy CT for myocardial extracellular volume quantification.

Journal: The British journal of radiology

Published: December 10, 2023

Influence of cardiac cycle on myocardial extracellular volume fraction measurements with dual-layer computed tomography.

Journal: Quantitative imaging in medicine and surgery

Published: November 20, 2023

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

Possible Radiation Dose Reduction in Abdominal Plain CT Using Deep Learning Reconstruction

Journal: Nihon Hoshasen Gijutsu Gakkai zasshi

Published: March 06, 2023

Impact of a new deep-learning-based reconstruction algorithm on image quality in ultra-high-resolution CT: clinical observational and phantom studies.

Journal: The British journal of radiology

Published: November 01, 2022

Characteristics of the deep learning-based virtual monochromatic image with fast kilovolt-switching CT: a phantom study.

Journal: Radiological physics and technology

Published: September 15, 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

Iterative reconstruction with multifrequency signal recognition technology to improve low-contrast detectability: A phantom study.

Journal: Acta radiologica open

Published: March 16, 2022