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Daisuke Sakabe

Showing results (31-40 of 38) with videos related to

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European Radiology|July 11, 2023
Improving image quality with super-resolution deep-learning-based reconstruction in coronary CT angiographyYasunori Nagayama, Takafumi Emoto, Yuki Kato, et al.
AJR. American Journal of Roentgenology|February 23, 2022
Radiation Dose Reduction for 80-kVp Pediatric CT Using Deep Learning-Based Reconstruction: A Clinical and Phantom StudyYasunori Nagayama, Makoto Goto, Daisuke Sakabe, et al.
Academic Radiology|June 23, 2022
Lung-Optimized Deep-Learning-Based Reconstruction for Ultralow-Dose CTMakoto Goto, Yasunori Nagayama, Daisuke Sakabe, et al.
European Journal of Radiology|January 16, 2021
Assessment of cardiac implantable electric device lead perforation using a metal artifact reduction algorithm in cardiac computed tomographyMasafumi Kidoh, Seitaro Oda, Kengo Nakato, et al.
European Journal of Radiology|April 5, 2022
Radiation dose optimization potential of deep learning-based reconstruction for multiphase hepatic CT: A clinical and phantom studyYasunori Nagayama, Makoto Goto, Daisuke Sakabe, et al.
AJR. American Journal of Roentgenology|June 28, 2023
Coronary Stent Evaluation by CTA: Image Quality Comparison Between Super-Resolution Deep Learning Reconstruction and Other Reconstruction AlgorithmsYasunori Nagayama, Takafumi Emoto, Hidetaka Hayashi, et al.
Academic Radiology|February 15, 2020
Evaluation of Significant Coronary Artery Disease Based on CT Fractional Flow Reserve and Plaque Characteristics Using Random Forest Analysis in Machine LearningTomohiro Kawasaki, Masafumi Kidoh, Teruhito Kido, et al.
European Radiology|March 27, 2023
Deep learning-based reconstruction can improve the image quality of low radiation dose head CTYasunori Nagayama, Koya Iwashita, Natsuki Maruyama, et al.
Pageof 4

Showing results (31-40 of 38) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 38 results.
European Radiology|July 11, 2023
Improving image quality with super-resolution deep-learning-based reconstruction in coronary CT angiographyYasunori Nagayama, Takafumi Emoto, Yuki Kato, et al.
AJR. American Journal of Roentgenology|February 23, 2022
Radiation Dose Reduction for 80-kVp Pediatric CT Using Deep Learning-Based Reconstruction: A Clinical and Phantom StudyYasunori Nagayama, Makoto Goto, Daisuke Sakabe, et al.
Academic Radiology|June 23, 2022
Lung-Optimized Deep-Learning-Based Reconstruction for Ultralow-Dose CTMakoto Goto, Yasunori Nagayama, Daisuke Sakabe, et al.
European Journal of Radiology|January 16, 2021
Assessment of cardiac implantable electric device lead perforation using a metal artifact reduction algorithm in cardiac computed tomographyMasafumi Kidoh, Seitaro Oda, Kengo Nakato, et al.
European Journal of Radiology|April 5, 2022
Radiation dose optimization potential of deep learning-based reconstruction for multiphase hepatic CT: A clinical and phantom studyYasunori Nagayama, Makoto Goto, Daisuke Sakabe, et al.
AJR. American Journal of Roentgenology|June 28, 2023
Coronary Stent Evaluation by CTA: Image Quality Comparison Between Super-Resolution Deep Learning Reconstruction and Other Reconstruction AlgorithmsYasunori Nagayama, Takafumi Emoto, Hidetaka Hayashi, et al.
Academic Radiology|February 15, 2020
Evaluation of Significant Coronary Artery Disease Based on CT Fractional Flow Reserve and Plaque Characteristics Using Random Forest Analysis in Machine LearningTomohiro Kawasaki, Masafumi Kidoh, Teruhito Kido, et al.
European Radiology|March 27, 2023
Deep learning-based reconstruction can improve the image quality of low radiation dose head CTYasunori Nagayama, Koya Iwashita, Natsuki Maruyama, et al.
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