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Kenji Tokumori

Explore the profile of Kenji Tokumori including associated specialties, affiliations and a list of published articles. Areas
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Articles 24
Citations 138
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Recent Articles
1.
Takarabe S, Okamura K, Kuramoto T, Tokumori K, Kato T, Yoshiura K
Oral Radiol . 2022 Oct; 39(3):491-503. PMID: 36289169
Objectives: This study conducted a receiver operating characteristic (ROC) analysis by applying improved cluster signal-to-noise (CSN) analysis to digital intraoral radiographs and develop an observer-free method of analyzing image quality...
2.
Takase H, Togao O, Kikuchi K, Hata N, Hatae R, Chikui T, et al.
Br J Radiol . 2022 Feb; 95(1133):20210392. PMID: 35138915
Objective: To determine whether the γ distribution (GD) model of diffusion MRI is useful in the evaluation of the isocitrate dehydrogenase (IDH) mutation status of glioblastomas. Methods: 12 patients with...
3.
Panyarak W, Chikui T, Tokumori K, Yamashita Y, Kamitani T, Togao O, et al.
Dentomaxillofac Radiol . 2021 Jul; 51(1):20200609. PMID: 34319774
Objectives: To compare the gamma distribution (GD), intravoxel incoherent motion (IVIM), and monoexponential (ME) models in terms of their goodness-of-fit, correlations among the parameters, and the effectiveness in the differential...
4.
Togao O, Chikui T, Tokumori K, Kami Y, Kikuchi K, Momosaka D, et al.
PLoS One . 2020 Dec; 15(12):e0243839. PMID: 33315914
The preoperative imaging-based differentiation of primary central nervous system lymphomas (PCNSLs) and glioblastomas (GBs) is of high importance since the therapeutic strategies differ substantially between these tumors. In this study,...
5.
Chikui T, Tokumori K, Panyarak W, Togao O, Yamashita Y, Kawano S, et al.
Dentomaxillofac Radiol . 2020 Jul; 50(2):20200252. PMID: 32706975
Objectives: This study evaluated the correlation among the diffusion-derived parameters obtained by monoexponential (ME), intravoxel incoherent motion (IVIM) and γ distribution (GD) models and compared these parameters among representative orofacial...
6.
Takeshita Y, Shimizu M, Jasa G, Weerawanich W, Okamura K, Yoshida S, et al.
Dentomaxillofac Radiol . 2018 Jan; 47(4):20170369. PMID: 29376745
Objectives: To compare the results of a new quantitative image quality evaluation method that requires no observers with the results of receiver operating characteristic (ROC) analysis in detecting the mandibular...
7.
Jasa G, Shimizu M, Okamura K, Tokumori K, Takeshita Y, Weerawanich W, et al.
Dentomaxillofac Radiol . 2017 Jan; 46(4):20160315. PMID: 28125294
Objectives: The purpose of this study was to clarify the effects of exposure parameters and image-processing methods when using CBCT to detect clear and unclear mandibular canals (MCs). Methods: 24...
8.
Takeshita Y, Shimizu M, Okamura K, Yoshida S, Weerawanich W, Tokumori K, et al.
Dentomaxillofac Radiol . 2017 Jan; 46(3):20160331. PMID: 28045343
Objectives: To develop an observer-free method for quantitatively evaluating the image quality of CBCT images by applying just-noticeable difference (JND). Methods: We used two test objects: (1) a Teflon (polytetrafluoroethylene)...
9.
Nakamura Y, Tokumori K, Tanabe H, Yoshiura T, Kobayashi K, Nakamura Y, et al.
Exp Brain Res . 2013 Apr; 227(2):185-97. PMID: 23604572
The primary taste cortex is located in the insula. However, exactly where in the insula the human primary taste cortex is located remains a controversial issue. Human neuroimaging studies have...
10.
Nakamura Y, Goto T, Tokumori K, Yoshiura T, Kobayashi K, Nakamura Y, et al.
Neuroreport . 2012 Mar; 23(6):400-4. PMID: 22407055
It remains unclear how the cerebral cortex of humans perceives taste temporally, and whether or not such objective data about the brain show a correlation with the current widely used...