Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Hiroaki Akutsu"'
Autor:
Hiroaki Konishi, Shotaro Isozaki, Shin Kashima, Kentaro Moriichi, Satoshi Ichikawa, Kazuki Yamamoto, Chikage Yamamura, Katsuyoshi Ando, Nobuhiro Ueno, Hiroaki Akutsu, Naoki Ogawa, Mikihiro Fujiya
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Intake of probiotics or fermented food produced by some probiotic bacteria is believed to exert anti-tumor functions in various cancers, including pancreatic cancer, because several studies have demonstrated the anti-tumor effects of probiot
Externí odkaz:
https://doaj.org/article/cfb8f92149174db3bf6dd9dbd49d3505
Autor:
Hiroaki Konishi, Mikihiro Fujiya, Hiroki Tanaka, Nobuhiro Ueno, Kentaro Moriichi, Junpei Sasajima, Katsuya Ikuta, Hiroaki Akutsu, Hiroki Tanabe, Yutaka Kohgo
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-12 (2016)
Probiotics have tumour-suppressive effects in cancer cell lines and in animal models. In this study, the authors demonstrate that ferrichrome produced by Lactobacillus caseiATCC334 can suppress colon cancer growth inducing apoptosis via the JNK pathw
Externí odkaz:
https://doaj.org/article/c4ceb1f2b8544f46a5921775d0f7f5a6
Autor:
Miwako Asanuma, Nana Kawasaki, Yuki Kobayashi, Kazumi Saikusa, Ryuichi Sawa, Kazutaka Shimbo, Kana Tanabe, Kohei Nozawa, Akira Harazono, Akira Motoyama, Hiroaki Akutsu, Seiko Oka, Shigeki Jin, Yusuke Takata, Ken-ichi Bajo, Tomohiro Hirose, Ayako Mori, Daisuke Saigusa, Emiko Sato, Tomoyoshi Soga, Akiyoshi Hirayama, Masamitsu Maekawa, Nariyasu Mano, Ken-ichi Yoshino, Issey Osaka, Sadamu Kurono, Keiko Kuwata, Tatsuko Sakai, Mitsutoshi Setou, Yutaka Takahashi, Yasuhide Naito, Tomohiro Matsumoto
Publikováno v:
Journal of the Mass Spectrometry Society of Japan. 70:85-89
Autor:
Hiroaki Akutsu, Takahiro Naruko
Publikováno v:
IEICE Transactions on Information and Systems. :1031-1038
Publikováno v:
2021 International Conference on Visual Communications and Image Processing (VCIP).
Autor:
Wassim Hamidouche, Byungyeon Kang, Shuwei Shi, Yujiu Yang, Junlin Li, Pengfei Sun, Jose Costa Pereira, Kele Xu, Hiroaki Akutsu, Hai Wang, Koki Tsubota, Yiting Liao, William Thong, Hengliang Luo, Longtao Feng, Jingyu Guo, Yuqing Hou, Yu Qiao, Sung-Jun Yoon, Jimmy Ren, Tao Zhang, Yang Li, Bin Yi, Yifan Chen, Jinjin Gu, Ali Royat, Steven McDonagh, Shuhang Gu, Junwoo Lee, Kiyoharu Aizawa, Lehan Yang, Sewoong Ahn, Weihao Xia, Qingyan Bai, Haiyang Guo, Zirui Wang, Mingdeng Cao, Qing Zhang, Jiahao Wang, Wenming Yang, Sid Ahmed Fezza, Haoming Cai, Dounia Hammou, Ales Leonardis, Radu Timofte, Hengxing Cai, Manri Cheon, Seyed Mehdi Ayyoubzadeh, Chao Dong, Gwangjin Yoon
Publikováno v:
CVPR Workshops
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021. As a new type of image processing techno
Publikováno v:
CVPR Workshops
Neural network-based image compressors have the ability to optimize various perceptual image quality metrics. We propose improved methods that is based on selective-detail decoding, which uses two decoders (a main decoder and selective-detail decoder
Publikováno v:
IJCAI
Deep image compression systems mainly contain four components: encoder, quantizer, entropy model, and decoder. To optimize these four components, a joint rate-distortion framework was proposed, and many deep neural network-based methods achieved grea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2363b0d2da8116a4e4c52dbdd5de8e3
http://arxiv.org/abs/2007.12619
http://arxiv.org/abs/2007.12619
Publikováno v:
CVPR Workshops
Neural network-based learned image compression has a special feature in that a differentiable image quality index can be used as a loss function directly, and a decoder and an encoder can be optimized by the quality index through end-to-end learning.
Autor:
Katsuya Ikuta, Kentaro Moriichi, Nobuhiro Ueno, Yutaka Kohgo, Hiroki Tanaka, Hiroaki Akutsu, Mikihiro Fujiya, Hiroaki Konishi, Junpei Sasajima, Hiroki Tanabe
Publikováno v:
Nature Communications, Vol 7, Iss 1, Pp 1-12 (2016)
Nature Communications
Nature Communications
Previous reports have suggested that some probiotics inhibit tumorigenesis and cancer progression. However, the molecules involved have not yet been identified. Here, we show that the culture supernatant of Lactobacillus casei ATCC334 has a strong tu