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Quantitative Imaging in Medicine and Surgery|May 3, 2022
Deep learning reconstruction allows low-dose imaging while maintaining image quality: comparison of deep learning reconstruction and hybrid iterative reconstruction in contrast-enhanced abdominal CTAkio Tamura, Eisuke Mukaida, Yoshitaka Ota, et al.European Journal of Radiology|March 25, 2018
Diagnostic performance of coronary CT angiography with ultra-high-resolution CT: Comparison with invasive coronary angiographyHidenobu Takagi, Ryoichi Tanaka, Kyohei Nagata, et al.European Journal of Cardio-Thoracic Surgery : Official Journal of the European Association for Cardio-Thoracic Surgery|January 26, 2018
Systematic evaluation of collateral pathways to the artery of Adamkiewicz using computed tomographyKunihiro Yoshioka, Ryoichi Tanaka, Hidenobu Takagi, et al.Neuroradiology|October 30, 2017
Ultra-high-resolution CT angiography of the artery of Adamkiewicz: a feasibility studyKunihiro Yoshioka, Ryoichi Tanaka, Hidenobu Takagi, et al.Journal of Cardiovascular Computed Tomography|June 21, 2015
Feasibility of coronary calcium and stent image subtraction using 320-detector row CT angiographyAndreas Fuchs, J Tobias Kühl, Marcus Y Chen, et al.The International Journal of Cardiovascular Imaging|August 21, 2015
Subtraction coronary computed tomography in patients with severe calcificationMakoto Amanuma, Takeshi Kondo, Tomonari Sano, et al.The International Journal of Cardiovascular Imaging|December 15, 2015
Assessment of coronary in-stent restenosis: value of subtraction coronary computed tomography angiographyMakoto Amanuma, Taskeshi Kondo, Tomonari Sano, et al.Japanese Journal of Radiology|October 20, 2023
Machine learning-based computer-aided simple triage (CAST) for COVID-19 pneumonia as compared with triage by board-certified chest radiologistsYoshiharu Ohno, Takatoshi Aoki, Masahiro Endo, et al.Japanese Journal of Radiology|April 9, 2022
Newly developed artificial intelligence algorithm for COVID-19 pneumonia: utility of quantitative CT texture analysis for prediction of favipiravir treatment effectYoshiharu Ohno, Kota Aoyagi, Kazumasa Arakita, et al.Pageof 1