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Hajime Sakuma
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2020 – today
- 2023
- [j5]Motonori Nagata
, Yasutaka Ichikawa
, Kensuke Domae, Kazuya Yoshikawa, Yoshinori Kanii, Akio Yamazaki, Naoki Nagasawa
, Masaki Ishida
, Hajime Sakuma
:
Application of Deep Learning-Based Denoising Technique for Radiation Dose Reduction in Dynamic Abdominal CT: Comparison with Standard-Dose CT Using Hybrid Iterative Reconstruction Method. J. Digit. Imaging 36(4): 1578-1587 (2023) - [j4]Yoya Tomita, Yasutaka Ichikawa
, Kengo Hashizume, Hajime Sakuma
:
Effect of Gaussian Smoothing Filter Size for CT-Based Attenuation Correction on Quantitative Assessment of Bone SPECT/CT: A Phantom Study. J. Imaging Inform. Medicine 36(5): 2313-2321 (2023) - 2020
- [j3]Hiroki Kobayashi, Ryohei Nakayama
, Akiyoshi Hizukuri, Masaki Ishida, Kakuya Kitagawa
, Hajime Sakuma:
Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural Network. J. Digit. Imaging 33(2): 497-503 (2020)
2010 – 2019
- 2016
- [j2]Shigeki Kobayashi
, Mayumi Ogura, Naohisa Suzawa, Noriyuki Horiki, Masaki Katsurahara, Toru Ogura, Hajime Sakuma:
18F-FDG uptake in the stomach on screening PET/CT: value for predicting Helicobacter pylori infection and chronic atrophic gastritis. BMC Medical Imaging 16: 58 (2016) - 2013
- [j1]Yasutaka Ichikawa, Kakuya Kitagawa
, Naoki Nagasawa, Shuichi Murashima, Hajime Sakuma
:
CT of the chest with model-based, fully iterative reconstruction: comparison with adaptive statistical iterative reconstruction. BMC Medical Imaging 13: 27 (2013)
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