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Toru Higaki

Showing results (21-30 of 98) with videos related to

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Journal of Computer Assisted Tomography|June 20, 2022
Performance of Ultra-High-Resolution Computed Tomography in Super High-Resolution Mode at the Routine Radiation Dose: Phantom StudyNobuo Kitera, Chikako Fujioka, Toru Higaki, et al.
Academic Radiology|December 11, 2019
Deep Learning Reconstruction at CT: Phantom Study of the Image CharacteristicsToru Higaki, Yuko Nakamura, Jian Zhou, et al.
Journal of Computer Assisted Tomography|December 3, 2019
Possibility of Deep Learning in Medical Imaging Focusing Improvement of Computed Tomography Image QualityYuko Nakamura, Toru Higaki, Fuminari Tatsugami, et al.
Japanese Journal of Radiology|May 24, 2014
Re-evaluation of detectability of liver metastases by contrast-enhanced CT: added value of hepatic arterial phase imagingYukiko Honda, Toru Higaki, Haruka Higashihori, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 27, 2017
Quantification of the salivary volume flow rate in the parotid duct using the time-spatial labeling inversion pulse (Time-SLIP) technique at MRI: A feasibility studyWataru Fukumoto, Toru Higaki, Yoshiko Matsuoka, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|October 22, 2024
Deep-learning reconstruction enhances image quality of Adamkiewicz Artery in low-keV dual-energy CTFuminari Tatsugami, Toru Higaki, Ikuo Kawashita, et al.
Japanese Journal of Radiology|November 29, 2024
External validation of the performance of commercially available deep-learning-based lung nodule detection on low-dose CT images for lung cancer screening in JapanWataru Fukumoto, Yuki Yamashita, Ikuo Kawashita, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|July 18, 2018
How to Improve the Conspicuity of Breast Tumors on Computed High b-value Diffusion-weighted ImagingTakayuki Tamura, Miyuki Takasu, Toru Higaki, et al.
Journal of Computer Assisted Tomography|July 2, 2014
Measurement of electron density and effective atomic number by dual-energy scan using a 320-detector computed tomography scanner with raw data-based analysis: a phantom studyFuminari Tatsugami, Toru Higaki, Masao Kiguchi, et al.
European Radiology|April 17, 2021
Incidence and factor analysis of laryngohyoid fractures in hanging individuals-computed tomography studyWataru Fukumoto, Hidenori Mitani, Yuka Kuno, et al.
Pageof 10

Showing results (21-30 of 98) with videos related to

Sort By:
Pageof 10
Journal of Computer Assisted Tomography|June 20, 2022
Performance of Ultra-High-Resolution Computed Tomography in Super High-Resolution Mode at the Routine Radiation Dose: Phantom StudyNobuo Kitera, Chikako Fujioka, Toru Higaki, et al.
Academic Radiology|December 11, 2019
Deep Learning Reconstruction at CT: Phantom Study of the Image CharacteristicsToru Higaki, Yuko Nakamura, Jian Zhou, et al.
Journal of Computer Assisted Tomography|December 3, 2019
Possibility of Deep Learning in Medical Imaging Focusing Improvement of Computed Tomography Image QualityYuko Nakamura, Toru Higaki, Fuminari Tatsugami, et al.
Japanese Journal of Radiology|May 24, 2014
Re-evaluation of detectability of liver metastases by contrast-enhanced CT: added value of hepatic arterial phase imagingYukiko Honda, Toru Higaki, Haruka Higashihori, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 27, 2017
Quantification of the salivary volume flow rate in the parotid duct using the time-spatial labeling inversion pulse (Time-SLIP) technique at MRI: A feasibility studyWataru Fukumoto, Toru Higaki, Yoshiko Matsuoka, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|October 22, 2024
Deep-learning reconstruction enhances image quality of Adamkiewicz Artery in low-keV dual-energy CTFuminari Tatsugami, Toru Higaki, Ikuo Kawashita, et al.
Japanese Journal of Radiology|November 29, 2024
External validation of the performance of commercially available deep-learning-based lung nodule detection on low-dose CT images for lung cancer screening in JapanWataru Fukumoto, Yuki Yamashita, Ikuo Kawashita, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine|July 18, 2018
How to Improve the Conspicuity of Breast Tumors on Computed High b-value Diffusion-weighted ImagingTakayuki Tamura, Miyuki Takasu, Toru Higaki, et al.
Journal of Computer Assisted Tomography|July 2, 2014
Measurement of electron density and effective atomic number by dual-energy scan using a 320-detector computed tomography scanner with raw data-based analysis: a phantom studyFuminari Tatsugami, Toru Higaki, Masao Kiguchi, et al.
European Radiology|April 17, 2021
Incidence and factor analysis of laryngohyoid fractures in hanging individuals-computed tomography studyWataru Fukumoto, Hidenori Mitani, Yuka Kuno, et al.
Pageof 10