K Ohtomo
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Explore the profile of K Ohtomo including associated specialties, affiliations and a list of published articles.
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304
Citations
2458
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Recent Articles
1.
Akai H, Yasaka K, Sugawara H, Furuta T, Tajima T, Kato S, et al.
Clin Radiol
. 2024 Apr;
79(6):453-459.
PMID: 38614869
Aim: To evaluate whether deep learning reconstruction (DLR) can accelerate the acquisition of magnetic resonance imaging (MRI) sequences of the knee for clinical use. Materials And Methods: Using a 1.5-T...
2.
Tajima T, Akai H, Yasaka K, Kunimatsu A, Yamashita Y, Akahane M, et al.
Clin Radiol
. 2022 Sep;
78(1):e13-e21.
PMID: 36116967
Aim: To evaluate 1.5 T magnetic resonance imaging (MRI) brain images with denoising procedures using deep learning-based reconstruction (dDLR) relative to the original 1.5 and 3 T images. Materials And...
3.
Akai H, Yasaka K, Kunimatsu A, Nojima M, Kokudo T, Kokudo N, et al.
Diagn Interv Imaging
. 2018 Jun;
99(10):643-651.
PMID: 29910166
Rationale And Objectives: To investigate the impact of random survival forest (RSF) classifier trained by radiomics features over the prediction of the overall survival of patients with resectable hepatocellular carcinoma...
4.
Hayakawa Y, Sasaki H, Takao H, Yoshikawa T, Hayashi N, Mori H, et al.
Obes Sci Pract
. 2018 Feb;
4(1):97-105.
PMID: 29479469
Objective: Previous work has shown that high body mass index (BMI) is associated with low grey matter volume. However, evidence on the relationship between waist circumference (WC) and brain volume...
5.
Haga A, Nakagawa K, Yamashita H, Takahashi W, Sakumi A, Masutani Y, et al.
Med Phys
. 2017 May;
39(6Part9):3699.
PMID: 28519043
Purpose: To determine a planning target volume (PTV) margin for lung cancer patients using a four-dimensional cone-beam CT (4D CBCT) acquired during volumetric modulated arc therapy (VMAT) treatment. Methods: A...
6.
Saotome N, Kida S, Haga A, Masutani Y, Ohtomo K, Nakagawa K
Med Phys
. 2017 May;
39(6Part6):3659.
PMID: 28517564
Purpose: The verification method of the geometry agreement between a light field and/or a laser coordinate and treatment beam should be easy and quick. In this presentation, we propose a...
7.
Miki S, Hayashi N, Masutani Y, Nomura Y, Yoshikawa T, Hanaoka S, et al.
AJNR Am J Neuroradiol
. 2016 Feb;
37(6):1038-43.
PMID: 26892988
Background And Purpose: Experiences with computer-assisted detection of cerebral aneurysms in diagnosis by radiologists in real-life clinical environments have not been reported. The purpose of this study was to evaluate...
8.
Takao H, Hayashi N, Ohtomo K
Neuroscience
. 2015 Jun;
301:395-402.
PMID: 26116520
The human brain is composed of complex networks of 100 billion neurons that underlie its higher functions. The set of neural connections in the brain has recently attracted growing interest...
9.
Goto M, Abe O, Aoki S, Hayashi N, Miyati T, Takao H, et al.
Methods Inf Med
. 2014 Oct;
54(2):171-8.
PMID: 25345402
Objectives: To investigate whether reproducibility of gray matter volumetry is influenced by parameter settings for VBM 8 using Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra (DARTEL) with region-of-interest (ROI) analyses....
10.
Toyama T, Ohtomo K, Noda Y, Ueta T
Eye (Lond)
. 2014 Jun;
28(8):992-7.
PMID: 24924443
Purpose: To evaluate the possible causative role of central serous chorioretinopathy (CSC) in the development of exudative age-related macular degeneration (AMD). Methods: In a cross-sectional study at an institutional setting,...