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Toru Higaki

Showing results (1-10 of 98) with videos related to

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Nihon Hoshasen Gijutsu Gakkai Zasshi|January 21, 2024
[[CT] 5. Various CT Image Reconstruction Methods Applying Deep Learning]Toru Higaki
Bioengineering (Basel, Switzerland)|September 27, 2025
The ASC Module: A GPU Memory-Efficient, Physiology-Aware Approach for Improving Segmentation Accuracy on Poorly Contrast-Enhanced CT Scans-A Preliminary StudyZuoyuan Zhao, Toru Higaki, Yanlei Gu, et al.
Japanese Journal of Radiology|December 1, 2018
Improvement of image quality at CT and MRI using deep learningToru Higaki, Yuko Nakamura, Fuminari Tatsugami, et al.
Japanese Journal of Radiology|January 4, 2022
Dual-energy CT: minimal essentials for radiologistsFuminari Tatsugami, Toru Higaki, Yuko Nakamura, et al.
Current Medical Imaging|August 5, 2020
Computer Simulation of the Effects of Contrast Protocols on Aortic Signal Intensity on Magnetic Resonance AngiogramsToru Higaki, Yuko Nakamura, Fuminari Tatsugami, et al.
Journal of Imaging|April 27, 2023
Spectral Super-Resolution for High Dynamic Range ImagesYuki Mikamoto, Yoshiki Kaminaka, Toru Higaki, et al.
Diagnostic and Interventional Imaging|October 30, 2020
A primer for understanding radiology articles about machine learning and deep learningTakeshi Nakaura, Toru Higaki, Kazuo Awai, et al.
Sensors (Basel, Switzerland)|June 12, 2026
Contactless Respiratory Waveform Estimation Using a Depth Camera and AI-Based Body DetectionYuto Kojima, Toru Higaki, Hirotaka Inoue, et al.
Japanese Journal of Radiology|October 18, 2022
An introduction to photon-counting detector CT (PCD CT) for radiologistsYuko Nakamura, Toru Higaki, Shota Kondo, et al.
Abdominal Radiology (New York)|April 6, 2020
Deep learning reconstruction of drip-infusion cholangiography acquired with ultra-high-resolution computed tomographyKeigo Narita, Yuko Nakamura, Toru Higaki, et al.
Pageof 10

Showing results (1-10 of 98) with videos related to

Sort By:
Pageof 10
Nihon Hoshasen Gijutsu Gakkai Zasshi|January 21, 2024
[[CT] 5. Various CT Image Reconstruction Methods Applying Deep Learning]Toru Higaki
Bioengineering (Basel, Switzerland)|September 27, 2025
The ASC Module: A GPU Memory-Efficient, Physiology-Aware Approach for Improving Segmentation Accuracy on Poorly Contrast-Enhanced CT Scans-A Preliminary StudyZuoyuan Zhao, Toru Higaki, Yanlei Gu, et al.
Japanese Journal of Radiology|December 1, 2018
Improvement of image quality at CT and MRI using deep learningToru Higaki, Yuko Nakamura, Fuminari Tatsugami, et al.
Japanese Journal of Radiology|January 4, 2022
Dual-energy CT: minimal essentials for radiologistsFuminari Tatsugami, Toru Higaki, Yuko Nakamura, et al.
Current Medical Imaging|August 5, 2020
Computer Simulation of the Effects of Contrast Protocols on Aortic Signal Intensity on Magnetic Resonance AngiogramsToru Higaki, Yuko Nakamura, Fuminari Tatsugami, et al.
Journal of Imaging|April 27, 2023
Spectral Super-Resolution for High Dynamic Range ImagesYuki Mikamoto, Yoshiki Kaminaka, Toru Higaki, et al.
Diagnostic and Interventional Imaging|October 30, 2020
A primer for understanding radiology articles about machine learning and deep learningTakeshi Nakaura, Toru Higaki, Kazuo Awai, et al.
Sensors (Basel, Switzerland)|June 12, 2026
Contactless Respiratory Waveform Estimation Using a Depth Camera and AI-Based Body DetectionYuto Kojima, Toru Higaki, Hirotaka Inoue, et al.
Japanese Journal of Radiology|October 18, 2022
An introduction to photon-counting detector CT (PCD CT) for radiologistsYuko Nakamura, Toru Higaki, Shota Kondo, et al.
Abdominal Radiology (New York)|April 6, 2020
Deep learning reconstruction of drip-infusion cholangiography acquired with ultra-high-resolution computed tomographyKeigo Narita, Yuko Nakamura, Toru Higaki, et al.
Pageof 10