Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Kanako K Kumamaru"'
Autor:
Nobuo Tomizawa, Shinichiro Fujimoto, Daigo Takahashi, Yui Nozaki, Ruiheng Fan, Ayako Kudo, Yuko Kawaguchi, Kazuhisa Takamura, Makoto Hiki, Satoshi Kadowaki, Fuki Ikeda, Kanako K. Kumamaru, Hirotaka Watada, Tohru Minamino, Shigeki Aoki
Publikováno v:
American Heart Journal Plus, Vol 35, Iss , Pp 100328- (2023)
Background: We aimed to investigate the diagnostic value of energy loss (EL) and baseline CT fractional flow reserve (CT-FFR) computed using computational fluid dynamics to predict functional progression of coronary stenosis in patients with type 2 d
Externí odkaz:
https://doaj.org/article/3d1ae836826946128bcbe93fe6ba6a70
Autor:
Yui O. Nozaki, Shinichiro Fujimoto, Chihiro Aoshima, Yuki Kamo, Yuko O. Kawaguchi, Kazuhisa Takamura, Ayako Kudo, Daigo Takahashi, Makoto Hiki, Yoshiteru Kato, Iwao Okai, Tomotaka Dohi, Shinya Okazaki, Nobuo Tomizawa, Kanako K. Kumamaru, Shigeki Aoki, Tohru Minamino
Publikováno v:
International Journal of Cardiology: Heart & Vasculature, Vol 35, Iss , Pp 100815- (2021)
Background: Computed tomography fractional flow reserve (CT-FFR), which can be acquired on-site workstation using fluid structure interaction during the multiple optimal diastolic phase, has an incremental diagnostic value over conventional coronary
Externí odkaz:
https://doaj.org/article/89d651ae85a946b9a4a180a5f3308fcc
Publikováno v:
Heliyon, Vol 7, Iss 8, Pp e07859- (2021)
The objective of this study was to apply the multi-agent system (MAS) collision model to predict seasonal influenza epidemic in Tokyo for 5 seasons (2014–2015 to 2018–2019 seasons). The MAS collision model assumes each individual as a particle in
Externí odkaz:
https://doaj.org/article/6e70d8c07fcc48d285df3fbe4d68641f
Autor:
Tianrun Cai, Luwan Zhang, Nicole Yang, Kanako K. Kumamaru, Frank J. Rybicki, Tianxi Cai, Katherine P. Liao
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-7 (2019)
Abstract Background Electronic medical records (EMR) contain numerical data important for clinical outcomes research, such as vital signs and cardiac ejection fractions (EF), which tend to be embedded in narrative clinical notes. In current practice,
Externí odkaz:
https://doaj.org/article/3e93da8db427472f917d983fc2a7277b
Autor:
Daigo Takahashi, Shinichiro Fujimoto, Yui O. Nozaki, Ayako Kudo, Yuko O. Kawaguchi, Kazuhisa Takamura, Makoto Hiki, Hideyuki Sato, Nobuo Tomizawa, Kanako K. Kumamaru, Shigeki Aoki, Tohru Minamino
Publikováno v:
Atherosclerosis. 370:18-24
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39e8b598c513eea083addc758d874140
https://doi.org/10.1016/j.atherosclerosis.2023.01.021
https://doi.org/10.1016/j.atherosclerosis.2023.01.021
Autor:
Yuki Kamo, Shinichiro Fujimoto, Chihiro Aoshima, Yuko O. Kawaguchi, Yui Nozaki, Ayako Kudo, Daigo Takahashi, Kazuhisa Takamura, Makoto Hiki, Nobuo Tomizawa, Kanako K. Kumamaru, Shigeki Aoki, Hiroyuki Daida
Publikováno v:
International Journal of Cardiology: Heart & Vasculature, Vol 29, Iss , Pp 100571- (2020)
Background: The concept of active atherosclerotic disease has been accepted for heart valve calcification (HVC). We investigated prevalence, distribution and related factors of HVC in patients who had undergone coronary CT angiography (CCTA). Methods
Externí odkaz:
https://doaj.org/article/ad884f4d954a4676968f75ff2d125140
Autor:
Koji Kamagata, Andrew Zalesky, Taku Hatano, Maria Angelique Di Biase, Omar El Samad, Shinji Saiki, Keigo Shimoji, Kanako K. Kumamaru, Kouhei Kamiya, Masaaki Hori, Nobutaka Hattori, Shigeki Aoki, Christos Pantelis
Publikováno v:
NeuroImage: Clinical, Vol 17, Iss , Pp 518-529 (2018)
Parkinson's disease (PD) is a progressive neurodegenerative disorder that affects extensive regions of the central nervous system. In this work, we evaluated the structural connectome of patients with PD, as mapped by diffusion-weighted MRI tractogra
Externí odkaz:
https://doaj.org/article/9888deb477c74a4f974e9bc1449ee929
Autor:
Nobuo Tomizawa, Shengpu Chou, Yusuke Fujino, Masaru Kamitani, Kodai Yamamoto, Shinichi Inoh, Takeshi Nojo, Kanako K. Kumamaru, Shigeki Aoki, Sunao Nakamura
Publikováno v:
Data in Brief, Vol 21, Iss , Pp 953-955 (2018)
This article describes data related to a research article titled “Feasibility of dynamic myocardial CT perfusion using single-source 64-row CT”, Tomizawa et al. (in press) [1]. Decrease in the myocardial blood flow could be calculated by performi
Externí odkaz:
https://doaj.org/article/fea1e82803364bdea4ac5e595ee5a462
Autor:
Yuko O. Kawaguchi, Shinichiro Fujimoto, Kanako K. Kumamaru, Etsuro Kato, Tomotaka Dohi, Kazuhisa Takamura, Chihiro Aoshima, Yuki Kamo, Yoshiteru Kato, Makoto Hiki, Iwao Okai, Shinya Okazaki, Shigeki Aoki, Hiroyuki Daida
Publikováno v:
International Journal of Cardiology: Heart & Vasculature, Vol 23, Iss , Pp - (2019)
Background: A novel algorithm has been developed for the on-site analysis of CT-fractional flow reserve (CT-FFR) using fluid structural interactions. There have been no reports on the factors affecting the diagnostic performance of CT-FFR using this
Externí odkaz:
https://doaj.org/article/938d1fd9992f4b22a39f50d25b68f8b9
Autor:
Shigeki Aoki, Kazuhiro Suzuki, Yukihiro Nomura, Ryohei Kuwatsuru, Yujiro Otsuka, Kanako K. Kumamaru
Publikováno v:
Academic Radiology. 29:S11-S17
Rationale and Objectives A more accurate lung nodule detection algorithm is needed. We developed a modified three-dimensional (3D) U-net deep-learning model for the automated detection of lung nodules on chest CT images. The purpose of this study was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d205e7eeba8b30408c0681b6b6b366a
https://doi.org/10.1016/j.acra.2020.07.030
https://doi.org/10.1016/j.acra.2020.07.030