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Diagnostic and Interventional Radiology (Ankara, Turkey)|August 9, 2023
Deep learning reconstruction for brain diffusion-weighted imaging: efficacy for image quality improvement, apparent diffusion coefficient assessment, and intravoxel incoherent motion evaluation in in vitro and in vivo studiesSatomu Hanamatsu, Kazuhiro Murayama, Yoshiharu Ohno, et al.The British Journal of Radiology|February 2, 2021
Overview of MRI for pulmonary functional imagingYoshiharu Ohno, Satomu Hanamatsu, Yuki Obama, et al.Magnetic Resonance Imaging|August 7, 2022
MR imaging for shoulder diseases: Effect of compressed sensing and deep learning reconstruction on examination time and imaging quality compared with that of parallel imagingYuki Obama, Yoshiharu Ohno, Kaori Yamamoto, et al.Neuroradiology|September 20, 2025
Fast 3D wheel acquisition versus conventional parallel imaging in cerebral magnetic resonance angiography for the evaluation of intracranial aneurysms : Original ArticleSatomu Hanamatsu, Kazuhiro Murayama, Yoshiharu Ohno, et al.Neuroradiology|July 19, 2022
A Bayesian estimation method for cerebral blood flow measurement by area-detector CT perfusion imagingKazuhiro Murayama, Ewoud J Smit, Mathias Prokop, et al.Radiology|February 1, 2022
Deep Learning Reconstruction of Diffusion-weighted MRI Improves Image Quality for Prostatic ImagingTakahiro Ueda, Yoshiharu Ohno, Kaori Yamamoto, et al.Journal of Computer Assisted Tomography|May 15, 2023
Three-Dimensional Gradient-Echo-Based Amide Proton Transfer-Weighted Imaging of Brain Tumors: Comparison With Two-Dimensional Spin-Echo-Based Amide Proton Transfer-Weighted ImagingKazuhiro Murayama, Yoshiharu Ohno, Masao Yui, et al.European Journal of Radiology|December 4, 2020
Compressed sensing and deep learning reconstruction for women's pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practiceTakahiro Ueda, Yoshiharu Ohno, Kaori Yamamoto, et al.Journal of Computer Assisted Tomography|April 24, 2026
Automated Quantitative Analysis of Enhancing and Peritumoral Cerebral Blood Volume for Differentiating Glioblastoma From Central Nervous System LymphomaKazuhiro Murayama, Shohei Harada, Shigeo Ohba, et al.Acta Radiologica (Stockholm, Sweden : 1987)|October 12, 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 evaluationsYoshiharu Ohno, Kota Aoyagi, Daisuke Takenaka, et al.Pageof 2