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Hirona Kimata

Showing results (1-10 of 15) with videos related to

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Japanese Journal of Radiology|October 10, 2020
Deep learning-based and hybrid-type iterative reconstructions for CT: comparison of capability for quantitative and qualitative image quality improvements and small vessel evaluation at dynamic CE-abdominal CT with ultra-high and standard resolutionsRyo Matsukiyo, Yoshiharu Ohno, Takahiro Matsuyama, 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.
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.
Japanese Journal of Radiology|July 9, 2026
Correction to: Deep learning-based motion correction: cardiac motion artifact and image quality improvements on chest CTYoshiyuki Ozawa, Daisuke Takenaka, Masahiko Nomura, et al.
European Radiology|September 5, 2025
Reply to the Letter to the Editor: Expanding the clinical relevance of dynamic perfusion area-detector CT-recommendations for broader applicabilityYoshiharu Ohno, Yasuko Fujisawa, Takeshi Yoshikawa, et al.
European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|December 6, 2023
Answer to the letter to the editor of S. He, et al. concerning "impact of surgical treatment on lipid metabolism in patients with lumbar spinal disorders: prospective observational study" by Nakajima et al. (Eur Spine J [2023]; doi:10.1007/s00586-023-07976-y)Yukio Nakajima, Kurenai Hachiya, Takehiro Michikawa, et al.
European Radiology|May 22, 2025
Dynamic perfusion area-detector CT in non-small cell lung cancer with progressive fibrosing interstitial lung diseaseYoshiharu Ohno, Yasuko Fujisawa, Takeshi Yoshikawa, et al.
European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|October 14, 2023
Impact of surgical treatment on lipid metabolism in patients with lumbar spinal disorders: Prospective observational studyYukio Nakajima, Kurenai Hachiya, Takehiro Michikawa, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Japanese Journal of Radiology|October 10, 2020
Deep learning-based and hybrid-type iterative reconstructions for CT: comparison of capability for quantitative and qualitative image quality improvements and small vessel evaluation at dynamic CE-abdominal CT with ultra-high and standard resolutionsRyo Matsukiyo, Yoshiharu Ohno, Takahiro Matsuyama, 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.
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.
Japanese Journal of Radiology|July 9, 2026
Correction to: Deep learning-based motion correction: cardiac motion artifact and image quality improvements on chest CTYoshiyuki Ozawa, Daisuke Takenaka, Masahiko Nomura, et al.
European Radiology|September 5, 2025
Reply to the Letter to the Editor: Expanding the clinical relevance of dynamic perfusion area-detector CT-recommendations for broader applicabilityYoshiharu Ohno, Yasuko Fujisawa, Takeshi Yoshikawa, et al.
European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|December 6, 2023
Answer to the letter to the editor of S. He, et al. concerning "impact of surgical treatment on lipid metabolism in patients with lumbar spinal disorders: prospective observational study" by Nakajima et al. (Eur Spine J [2023]; doi:10.1007/s00586-023-07976-y)Yukio Nakajima, Kurenai Hachiya, Takehiro Michikawa, et al.
European Radiology|May 22, 2025
Dynamic perfusion area-detector CT in non-small cell lung cancer with progressive fibrosing interstitial lung diseaseYoshiharu Ohno, Yasuko Fujisawa, Takeshi Yoshikawa, et al.
European Spine Journal : Official Publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society|October 14, 2023
Impact of surgical treatment on lipid metabolism in patients with lumbar spinal disorders: Prospective observational studyYukio Nakajima, Kurenai Hachiya, Takehiro Michikawa, et al.
Pageof 2