Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Mauricio Kugler"'
Autor:
Satomi Hatta, Yoshihito Ichiuji, Shingo Mabu, Mauricio Kugler, Hidekata Hontani, Tadakazu Okoshi, Haruki Fuse, Takako Kawada, Shoji Kido, Yoshiaki Imamura, Hironobu Naiki, Kunihiro Inai
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Despite the dedicated research of artificial intelligence (AI) for pathological images, the construction of AI applicable to histopathological tissue subtypes, is limited by insufficient dataset collection owing to disease infrequency. Here,
Externí odkaz:
https://doaj.org/article/c621af8e71764a4898053d29b79e04fe
Publikováno v:
IEEJ Transactions on Electrical and Electronic Engineering. 15:1780-1790
Autor:
Tatsuya Yokota, Tomonari Sei, Chika Iwamoto, Tomoshige Shimomura, Hidekata Hontani, Kenoki Ohuchida, Mauricio Kugler, Makoto Hashizume
Publikováno v:
Multidisciplinary Computational Anatomy ISBN: 9789811643248
Multidisciplinary Computational Anatomy
Multidisciplinary Computational Anatomy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2217fc69b5a90223b5754b0ee4a5e60b
https://doi.org/10.1007/978-981-16-4325-5_3
https://doi.org/10.1007/978-981-16-4325-5_3
Autor:
Makoto Hashizume, Hidekata Hontani, Mauricio Kugler, Kenoki Ohuchida, Chika Iwamoto, Yushi Goto, Tatsuya Yokota
Publikováno v:
International Forum on Medical Imaging in Asia 2019.
Autor:
Chika Iwamoto, Tatsuya Yokota, Makoto Hashizume, Tomonari Sei, Yuki Tamura, Mauricio Kugler, Hirokazu Kobayashi, Tomoshige Shimomura, Naoki Kawamura, Yushi Goto, Takahiro Katagiri, Kenoki Ohuchida, Hidekata Hontani, Akinobu Shimizu
Publikováno v:
International Forum on Medical Imaging in Asia 2019.
In this paper, we report on the construction of a pancreatic tumor model that represents the relationship between the tumor growth and the micro anatomical structures. The former, the tumor growth, is described by referring to the temporal series of
Autor:
Yuki Tamura, Chika Iwamoto, Tomonari Sei, Valentin Triquet, Makoto Hashizume, Hidekata Hontani, Kenoki Ohuchida, Tatsuya Yokota, Mauricio Kugler
Publikováno v:
International Workshop on Advanced Image Technology (IWAIT) 2019.
Publikováno v:
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS. (7):1885-1894
Publikováno v:
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS. (11):2682-2693
Autor:
Yushi Goto, Hirokazu Kobayashi, Mauricio Kugler, Tatsuya Yokota, Chika Iwamoto, Naoki Kawamura, Hidekata Hontani, Makoto Hashizume, Kenoki Ohuchida
Publikováno v:
Computational Pathology and Ophthalmic Medical Image Analysis ISBN: 9783030009489
COMPAY/OMIA@MICCAI
COMPAY/OMIA@MICCAI
When applied to 3D image reconstruction, conventional landmark-based registration methods tend to generate unnatural vertical structures due to inconsistencies between the employed model and the real tissue. This paper demonstrates a fully non-rigid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f43030f3230c43ed020beb0991cd0e47
https://doi.org/10.1007/978-3-030-00949-6_5
https://doi.org/10.1007/978-3-030-00949-6_5
Publikováno v:
ICPRAM
Time series forecasting is an important type of quantitative method in which past observations of a set of variables are used to develop a model describing their relationship. The Autoregressive Integrated Moving Average (ARIMA) model is a commonly u