Nayu Hamabuchi

Toyoake, Japan

Last Updated: 09/26/2026

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Found 13 publications

Chest Magnetic Resonance Imaging: Advances and Clinical Care.

Chest Magnetic Resonance Imaging: Advances and Clinical Care.

Journal: Clinics in chest medicine

Published: May 30, 2024

Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients.

Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients.

Journal: Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine

Published: September 04, 2023

Area-Detector Computed Tomography for Pulmonary Functional Imaging.

Area-Detector Computed Tomography for Pulmonary Functional Imaging.

Journal: Diagnostics (Basel, Switzerland)

Published: June 05, 2023

Advances for Pulmonary Functional Imaging: Dual-Energy Computed Tomography for Pulmonary Functional Imaging.

Advances for Pulmonary Functional Imaging: Dual-Energy Computed Tomography for Pulmonary Functional Imaging.

Journal: Diagnostics (Basel, Switzerland)

Published: May 31, 2023

Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT images.

Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT images.

Journal: Japanese journal of radiology

Published: May 06, 2023

Pulmonary MRI with ultra-short TE using single- and dual-echo methods: comparison of capability for quantitative differentiation of non- or minimally invasive adenocarcinomas from other lung cancers with that of standard-dose thin-section CT.

Pulmonary MRI with ultra-short TE using single- and dual-echo methods: comparison of capability for quantitative differentiation of non- or minimally invasive adenocarcinomas from other lung cancers with that of standard-dose thin-section CT.

Journal: European radiology

Published: March 10, 2023

Capability for dose reduction while maintaining nodule detection: Comparison of silver and copper X-ray spectrum modulation filters for chest CT using a phantom study with different reconstruction methods.

Capability for dose reduction while maintaining nodule detection: Comparison of silver and copper X-ray spectrum modulation filters for chest CT using a phantom study with different reconstruction methods.

Journal: European journal of radiology

Published: February 06, 2023

Computed DWI MRI Results in Superior Capability for N-Stage Assessment of Non-Small Cell Lung Cancer Than That of Actual DWI, STIR Imaging, and FDG-PET/CT.

Computed DWI MRI Results in Superior Capability for N-Stage Assessment of Non-Small Cell Lung Cancer Than That of Actual DWI, STIR Imaging, and FDG-PET/CT.

Journal: Journal of magnetic resonance imaging : JMRI

Published: February 22, 2022

Small Cell Lung Cancer Staging: Prospective Comparison of Conventional Staging Tests, FDG PET/CT, Whole-Body MRI, and Coregistered FDG PET/MRI.

Small Cell Lung Cancer Staging: Prospective Comparison of Conventional Staging Tests, FDG PET/CT, Whole-Body MRI, and Coregistered FDG PET/MRI.

Journal: AJR. American journal of roentgenology

Published: December 08, 2021

Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods including deep learning reconstruction, with those of multi-detector CT in a QIBA phantom study.

Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods including deep learning reconstruction, with those of multi-detector CT in a QIBA phantom study.

Journal: European radiology

Published: December 02, 2021

Efficacy of Ultrashort Echo Time Pulmonary MRI for Lung Nodule Detection and Lung-RADS Classification.

Efficacy of Ultrashort Echo Time Pulmonary MRI for Lung Nodule Detection and Lung-RADS Classification.

Journal: Radiology

Published: November 30, 2021

Machine learning for lung texture analysis on thin-section CT: Capability for assessments of disease severity and therapeutic effect for connective tissue disease patients in comparison with expert panel evaluations.

Machine learning for lung texture analysis on thin-section CT: Capability for assessments of disease severity and therapeutic effect for connective tissue disease patients in comparison with expert panel evaluations.

Journal: Acta radiologica (Stockholm, Sweden : 1987)

Published: October 12, 2021

Showing 1-12 of 13

Last Updated: 09/26/2026