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Neuroradiology
|
December 26, 2023
Exploring the impact of super-resolution deep learning on MR angiography image quality
Masamichi Hokamura, Hiroyuki Uetani, Takeshi Nakaura, et al.
European Radiology
|
August 15, 2015
Reduction of metallic coil artefacts in computed tomography body imaging: effects of a new single-energy metal artefact reduction algorithm
Masafumi Kidoh, Daisuke Utsunomiya, Osamu Ikeda, et al.
Radiation Protection Dosimetry
|
July 6, 2021
USE OF VACUUM MATTRESSES CAN REDUCE THE ABSORBED DOSE DURING PEDIATRIC CT
Takanori Masuda, Yoshinori Funama, Takeshi Nakaura, et al.
Circulation. Cardiovascular Imaging
|
March 21, 2025
MRI-Extracellular Volume Fraction Versus Histological Amyloid Load in Cardiac Amyloidosis: The Importance of T2 Mapping
Masafumi Kidoh, Seitaro Oda, Seiji Takashio, et al.
Annals of Nuclear Medicine
|
September 14, 2004
Attenuation correction using asymmetric fanbeam transmission CT on two-head SPECT system
Akihiro Kojima, Seiji Tomiguchi, Koichi Kawanaka, et al.
Annals of Nuclear Medicine
|
October 7, 2004
Attenuation correction using combination of a parallel hole collimator and an uncollimated non-uniform line array source
Akihiro Kojima, Koichi Kawanaka, Takeshi Nakaura, et al.
Journal of Diabetes Investigation
|
May 21, 2014
Predictors of coronary heart disease in Japanese patients with type 2 diabetes: Screening for coronary artery stenosis using multidetector computed tomography
Hiroko Nishioka, Noboru Furukawa, Seiya Shimoda, et al.
European Journal of Radiology
|
February 4, 2026
Image quality comparison between low-dose thin-slice deep-learning reconstruction and standard-dose thick-slice hybrid iterative reconstruction in pediatric abdominal CT
Ryota Harai, Yasunori Nagayama, Soichiro Ishiuchi, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine
|
September 6, 2019
Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers
Masafumi Kidoh, Kensuke Shinoda, Mika Kitajima, et al.
Journal of Computer Assisted Tomography
|
March 17, 2022
Prediction of Aortic Contrast Enhancement on Dynamic Hepatic Computed Tomography-Performance Comparison of Machine Learning Methods and Simulation Software
Takanori Masuda, Takeshi Nakaura, Toru Higaki, et al.
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of 29
Search research articles
Search
Showing results (181-190 of 285) with videos related to
Sort By:
Page
of 29
Neuroradiology
|
December 26, 2023
Exploring the impact of super-resolution deep learning on MR angiography image quality
Masamichi Hokamura, Hiroyuki Uetani, Takeshi Nakaura, et al.
European Radiology
|
August 15, 2015
Reduction of metallic coil artefacts in computed tomography body imaging: effects of a new single-energy metal artefact reduction algorithm
Masafumi Kidoh, Daisuke Utsunomiya, Osamu Ikeda, et al.
Radiation Protection Dosimetry
|
July 6, 2021
USE OF VACUUM MATTRESSES CAN REDUCE THE ABSORBED DOSE DURING PEDIATRIC CT
Takanori Masuda, Yoshinori Funama, Takeshi Nakaura, et al.
Circulation. Cardiovascular Imaging
|
March 21, 2025
MRI-Extracellular Volume Fraction Versus Histological Amyloid Load in Cardiac Amyloidosis: The Importance of T2 Mapping
Masafumi Kidoh, Seitaro Oda, Seiji Takashio, et al.
Annals of Nuclear Medicine
|
September 14, 2004
Attenuation correction using asymmetric fanbeam transmission CT on two-head SPECT system
Akihiro Kojima, Seiji Tomiguchi, Koichi Kawanaka, et al.
Annals of Nuclear Medicine
|
October 7, 2004
Attenuation correction using combination of a parallel hole collimator and an uncollimated non-uniform line array source
Akihiro Kojima, Koichi Kawanaka, Takeshi Nakaura, et al.
Journal of Diabetes Investigation
|
May 21, 2014
Predictors of coronary heart disease in Japanese patients with type 2 diabetes: Screening for coronary artery stenosis using multidetector computed tomography
Hiroko Nishioka, Noboru Furukawa, Seiya Shimoda, et al.
European Journal of Radiology
|
February 4, 2026
Image quality comparison between low-dose thin-slice deep-learning reconstruction and standard-dose thick-slice hybrid iterative reconstruction in pediatric abdominal CT
Ryota Harai, Yasunori Nagayama, Soichiro Ishiuchi, et al.
Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine
|
September 6, 2019
Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers
Masafumi Kidoh, Kensuke Shinoda, Mika Kitajima, et al.
Journal of Computer Assisted Tomography
|
March 17, 2022
Prediction of Aortic Contrast Enhancement on Dynamic Hepatic Computed Tomography-Performance Comparison of Machine Learning Methods and Simulation Software
Takanori Masuda, Takeshi Nakaura, Toru Higaki, et al.
Page
of 29