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Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|April 12, 2026
Comparing the Perfusion and Functional Assessment Capabilities of Electrocardiography- and Photoplethysmography-monitored Phase-resolved Functional Lung and Dynamic Contrast-enhanced Perfusion MR ImagingYoshiyuki Ozawa, Alicia Palomar-García, Masanori Ozaki, et al.
European Journal of Radiology|March 11, 2023
Reverse encoding distortion correction for diffusion-weighted MRI: Efficacy for improving image quality and ADC evaluation for differentiating malignant from benign areas in suspected prostatic cancer patientsTakahiro Ueda, Yoshiharu Ohno, Maiko Shinohara, et al.
European Journal of Radiology|July 16, 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 methodsYuka Oshima, Yoshiharu Ohno, Daisuke Takenaka, et al.
Magnetic Resonance Imaging|October 1, 2024
Proton Density Fat Fraction Quantification (PD-FFQ): Capability for hematopoietic ability assessment and aplastic anemaia diagnosis of adultsYoshiharu Ohno, Takahiro Ueda, Masahiko Nomura, et al.
Japanese Journal of Radiology|July 27, 2023
Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT imagesNayu Hamabuchi, Yoshiharu Ohno, Hirona Kimata, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|September 4, 2023
Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer PatientsDaisuke Takenaka, Yoshiyuki Ozawa, Kaori Yamamoto, et al.
European Radiology|February 4, 2025
High-resolution deep learning reconstruction for coronary CTA: compared efficacy of stenosis evaluation with other methods at in vitro and in vivo studiesTakahiro Matsuyama, Hiroyuki Nagata, Yoshiyuki Ozawa, et al.
Journal of Magnetic Resonance Imaging : JMRI|June 26, 2022
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/CTYoshiharu Ohno, Masao Yui, Daisuke Takenaka, et al.
AJR. American Journal of Roentgenology|December 8, 2021
Small Cell Lung Cancer Staging: Prospective Comparison of Conventional Staging Tests, FDG PET/CT, Whole-Body MRI, and Coregistered FDG PET/MRIYoshiharu Ohno, Takeshi Yoshikawa, Daisuke Takenaka, et al.
European Radiology|December 24, 2025
Conjugate gradient and deep learning reconstructions: reduced time without affecting image quality and nodule detectionYoshiharu Ohno, Yoshiyuki Ozawa, Takahiro Ueda, et al.
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