Zobrazeno 1 - 10
of 414
pro vyhledávání: '"Takeo. Igarashi"'
Autor:
Manabu Ishii, Bruno P. Kinoshita, Hirotaka Suetake, Tomoya Tanjo, Takatomo Fujisawa, Takeo Igarashi, Osamu Ogasawara, Tazro Ohta, Masanori Arita, Tsukasa Fukusato, Yuichi Kodama, Atsushi Shimizu, Takeshi Fujino, Tsuyoshi Hachiya
Publikováno v:
F1000Research, Vol 11 (2024)
The increased demand for efficient computation in data analysis encourages researchers in biomedical science to use workflow systems. Workflow systems, or so-called workflow languages, are used for the description and execution of a set of data analy
Externí odkaz:
https://doaj.org/article/c4f0ef6cb69a4ce8beb9bc66cf3f37d8
Publikováno v:
Computational Visual Media, Vol 9, Iss 1, Pp 57-69 (2022)
Abstract The exact shape of intracranial aneurysms is critical in medical diagnosis and surgical planning. While voxel-based deep learning frameworks have been proposed for this segmentation task, their performance remains limited. In this study, we
Externí odkaz:
https://doaj.org/article/ed505687026e4fc98035f416271f6700
Publikováno v:
Computational Visual Media, Vol 4, Iss 3, Pp 223-230 (2018)
Abstract We introduce a new advection scheme for fluid animation. Our main contribution is the use of long-term temporal changes in pressure to extend the commonly used semi-Lagrangian scheme further back along the time axis. Our algorithm starts by
Externí odkaz:
https://doaj.org/article/ffb5dcb2403b45609ebe04c069dcf745
Publikováno v:
IEICE Transactions on Information and Systems. :1704-1711
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::077e1c2d00bf096f5cbeff450548f501
https://doi.org/10.1587/transinf.2022pcp0006
https://doi.org/10.1587/transinf.2022pcp0006
Autor:
Yuki Igarashi, Takeo Igarashi
Publikováno v:
Computer Graphics Forum. 41:489-494
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a2046a85ecd2e68c844943df6bd263b
https://doi.org/10.1111/cgf.14694
https://doi.org/10.1111/cgf.14694
Autor:
Maria Larsson, Takashi Ijiri, Hironori Yoshida, Johannes A. J. Huber, Magnus Fredriksson, Olof Broman, Takeo Igarashi
Publikováno v:
ACM Transactions on Graphics. 41:1-10
We present a procedural framework for modeling the annual ring pattern of solid wood with knots. Although wood texturing is a well-studied topic, there have been few previous attempts at modeling knots inside the wood texture. Our method takes the sk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5d2011728d8e7b1b753349c9bb9435e
https://doi.org/10.1145/3528223.3530081
https://doi.org/10.1145/3528223.3530081
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 17:2121-2130
It is often time-consuming to segment fine structures, such as the cerebral arteries from magnetic resonance imaging (MRI). Moreover, extracting anatomically abnormal structures is generally difficult. The segmentation workflow called threshold field
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c79716ce39e160d71bdab6d6ffa8ad06
https://doi.org/10.1007/s11548-022-02682-4
https://doi.org/10.1007/s11548-022-02682-4
Publikováno v:
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29b006d394e85aed6b7b6b82c54676fe
https://doi.org/10.1145/3544549.3585677
https://doi.org/10.1145/3544549.3585677
Publikováno v:
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6187149860837b5b45e348dca4dd63ed
https://doi.org/10.1145/3544549.3585856
https://doi.org/10.1145/3544549.3585856
Autor:
Xinyue Gui, Koki Toda, Stela Hanbyeol Seo, Felix Martin Eckert, Chia-Ming Chang, Xiang 'Anthony Chen, Takeo Igarashi
Publikováno v:
Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::601eac3cdfd25a851f34dd8bcc41ed93
https://doi.org/10.1145/3544549.3585629
https://doi.org/10.1145/3544549.3585629