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Toki Saito
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2020 – today
- 2023
- [j12]Tatsuya Uchida
, Taichi Kin, Toki Saito, Naoyuki Shono, Satoshi Kiyofuji, Tsukasa Koike, Katsuya Sato, Ryoko Niwa, Ikumi Takashima, Hiroshi Oyama, Nobuhito Saito
De-Identification Technique with Facial Deformation in Head CT Images. Neuroinformatics 21(3): 575-587 (2023) - 2022
- [j11]Naoyuki Shono
Threshold field painting saves the time for segmentation of minute arteries. Int. J. Comput. Assist. Radiol. Surg. 17(11): 2121-2130 (2022) - 2021
- [j10]Seiji Nomura, Taichi Kin, Akira Kunimatsu, Masaaki Shojima, Yasushi Watanebe, Yuuichi Suzuki, Naoyuki Shono, Hideaki Imai, Toki Saito, Hirofumi Nakatomi, Hiroshi Oyama, Nobuhito Saito:
Registration Method Between Phase-Contrast Magnetic Resonance Angiography and Time-of-Flight Magnetic Resonance Angiography - A Preliminary Study. J. Medical Imaging Health Informatics 11(1): 33-39 (2021) - [j9]Yuri Nagayo, Toki Saito, Hiroshi Oyama
A Novel Suture Training System for Open Surgery Replicating Procedures Performed by Experts Using Augmented Reality. J. Medical Syst. 45(5): 60 (2021)
2010 – 2019
- 2017
- [j8]Daisuke Ichikawa
Impact of predicting health-guidance candidates using massive health check-up data: A data-driven analysis. Int. J. Medical Informatics 106: 32-36 (2017) - 2016
- [j7]Jue Jiang, Yoshikazu Nakajima, Yoshio Sohma, Toki Saito, Taichi Kin, Hiroshi Oyama
Marker-less tracking of brain surface deformations by non-rigid registration integrating surface and vessel/sulci features. Int. J. Comput. Assist. Radiol. Surg. 11(9): 1687-1701 (2016) - [j6]Daisuke Ichikawa
How can machine-learning methods assist in virtual screening for hyperuricemia? A healthcare machine-learning approach. J. Biomed. Informatics 64: 20-24 (2016) - [c1]Takeo Igarashi, Naoyuki Shono, Taichi Kin, Toki Saito:
Interactive Volume Segmentation with Threshold Field Painting. UIST 2016: 403-413 - 2015
- [j5]Masanori Yoshino
Diffusion tensor tractography of normal facial and vestibulocochlear nerves. Int. J. Comput. Assist. Radiol. Surg. 10(4): 383-392 (2015) - 2014
- [j4]Lassad Ben Younes, Yoshikazu Nakajima, Toki Saito:
Fully automatic segmentation of the Femur from 3D-CT images using primitive shape recognition and statistical shape models. Int. J. Comput. Assist. Radiol. Surg. 9(2): 189-196 (2014) - [j3]Lassad Ben Younes, Yoshikazu Nakajima, Toki Saito:
Erratum to: Fully automatic segmentation of the Femur from 3D-CT images using primitive shape recognition and statistical shape models. Int. J. Comput. Assist. Radiol. Surg. 9(2): 197 (2014) - [j2]Masanori Yoshino
Optimal setting of image bounding box can improve registration accuracy of diffusion tensor tractography. Int. J. Comput. Assist. Radiol. Surg. 9(2): 333-339 (2014) - [j1]Keisuke Maruyama, Taichi Kin, Toki Saito, Shinya Suematsu, Miho Gomyo, Akio Noguchi, Motoo Nagane, Yoshiaki Shiokawa:
Neurosurgical simulation by interactive computer graphics on iPad. Int. J. Comput. Assist. Radiol. Surg. 9(6): 1073-1078 (2014)
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