Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Ryosuke Yamanaka"'
Autor:
KOSHIRO MORINO, MICHIHIRO YAMAMOTO, RYOSUKE YAMANAKA, YUTA IWASAKI, NOZOMU NAKANISHI, TOSHIHIKO GOTO, HIROKAZU TANAKA, RYO MATSUSUE, TAKAFUMI MACHIMOTO
Publikováno v:
Anticancer Research. 43:2203-2209
Autor:
Minori Hikawa-Endo, Takao Ikeuchi, Shuji Kozai, Tomoya Nakamura, Masanori Yamaji, Ryosuke Yamanaka, Hisashi Yoshikoshi, Hiroki Kawashima
Publikováno v:
Horticulture Journal; 2024, Vol. 93 Issue 2, p160-168, 9p
Autor:
Ryosuke YAMANAKA, Hiroki KAWASHIMA
Publikováno v:
Japan Agricultural Research Quarterly: JARQ. 56:237-243
Publikováno v:
Horticultural Research (Japan). 21:307-313
Autor:
Ryosuke YAMANAKA, Hiroki KAWASHIMA
Publikováno v:
Japan Agricultural Research Quarterly: JARQ. 55:117-125
Autor:
Hiroshi HORIE, Shunichi SAITO, Ryosuke YAMANAKA, Nozomu NAKANISHI, Shota MATSUMURA, Takafumi MACHIMOTO
Publikováno v:
Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 82:1929-1934
Autor:
Shingo, Ochi, Yoshio, Kadokawa, Yuta, Iwasaki, Ryosuke, Yamanaka, Nozomu, Nakanishi, Shota, Matsumura, Taku, Kitano, Hiroshi, Horie, Yuichi, Takamatsu, Kenzo, Nakano, Toshihiko, Goto, Shigeru, Kato, Shunichi, Saito, Hirokazu, Tanaka, Takafumi, Machimoto
Publikováno v:
Gan to kagaku ryoho. Cancerchemotherapy. 48(9)
We report a case of locally advanced gastric cancer, which showed marked tumor shrinkage after the first dose of nivolumab. A 75-year-old woman was diagnosed with locally advanced gastric cancer with pancreatic invasion and pyloric stenosis. We perfo
Publikováno v:
Transactions the Japan Society of Refrigerating & Air Conditioning Engineers; 2022, Vol. 39 Issue 3, p167-176, 10p
Publikováno v:
IEEE Micro. 34:54-63
Today, small feature-sized transistors and wires led by process miniaturization have shown increasing vulnerability to both transient and permanent faults. Modular redundancy in circuits and failure-unit isolation are thereby employed to guarantee th
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783319646978
CAIP (2)
CAIP (2)
Deep convolutional neural networks (DCNNs) have recently been applied to Human pose estimation (HPE). However, most conventional methods have involved multiple models, and these models have been independently designed and optimized, which has led to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebd4d19116c45201ea3c988c124f5ce5
https://doi.org/10.1007/978-3-319-64698-5_21
https://doi.org/10.1007/978-3-319-64698-5_21