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Nihon Hoshasen Gijutsu Gakkai Zasshi|April 9, 2005
[Evaluation of time resolution in cardiac synchronized image reconstruction using multi-slice CT]Naruomi Akino, Katsumi Tsujioka, Hirofumi Anno, et al.
Journal of Cardiovascular Computed Tomography|October 8, 2024
Energy-integrating detector based ultra-high-resolution CT with deep learning reconstruction for the assessment of calcified lesions in coronary artery diseaseMisato Sone, Makoto Orii, Yoshitaka Ota, et al.
European Radiology|May 29, 2019
Correction to: Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CTMotonori Akagi, Yuko Nakamura, Toru Higaki, et al.
European Radiology|April 13, 2019
Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CTMotonori Akagi, Yuko Nakamura, Toru Higaki, et al.
Radiology. Artificial Intelligence|May 3, 2021
Deep Learning-based CT Image Reconstruction: Initial Evaluation Targeting Hypovascular Hepatic MetastasesYuko Nakamura, Toru Higaki, Fuminari Tatsugami, et al.
Diagnostics (Basel, Switzerland)|June 26, 2026
Deep Learning Reconstruction Specialized for Inner Ear: Improving Image Quality and Anatomical Structure Visualization as Compared with Conventional Hybrid-Type Iterative Reconstruction on High-Definition CTMasahiko Nomura, Hirona Kimata, Yuya Ito, et al.
European Journal of Radiology|February 1, 2026
Comparison of diagnostic capability and subtypes classification for inguinal hernias between upright and supine ADCTsMasahiko Nomura, Takeshi Yoshikawa, Takahiro Ueda, et al.
Japanese Journal of Radiology|October 16, 2025
Imaging-detected extranodal extension in head and neck cancer: clinical implications, diagnostic criteria, and the potential of photon-counting detector CTHirofumi Kuno, Takashi Hiyama, Tomoaki Sasaki, et al.
Journal of Computer Assisted Tomography|November 8, 2024
Evaluating the Efficacy of Deep Learning Reconstruction in Reducing Radiation Dose for Computer-Aided Volumetry for Liver Tumor: A Phantom StudyMasahiko Nomura, Yoshiharu Ohno, Yuya Ito, et al.
Japanese Journal of Radiology|May 19, 2026
Deep learning-based motion correction: cardiac motion artifact and image quality improvements on chest CTYoshiyuki Ozawa, Daisuke Takenaka, Masahiko Nomura, et al.
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