Zobrazeno 1 - 10
of 243
pro vyhledávání: '"Jun Ohya"'
Autor:
Manabu Harada, Yuji Morimoto, Ohara Mutsuki, Jun Ohya, Ken Masamune, Yujiro Itazaki, Takao Sugihara, Hironori Tsujimoto, Yoji Kishi, Hideki Ueno
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Laser thermal therapy is one of the treatments for malignant tumors. We developed a thermal endoscope using an ultra-compact thermo-sensor and established a new laparoscopic laser thermal therapy system to heat cancer tissue at an appropriat
Externí odkaz:
https://doaj.org/article/73b81332b4f44cc584a344b53b65280a
Publikováno v:
Symmetry, Vol 11, Iss 11, p 1422 (2019)
In this paper, we address the problem of synthesizing continuous variations with the appearance of makeup by taking a linear combination of the examples. Makeup usually shows a vague boundary and does not form a clear shape, which makes this problem
Externí odkaz:
https://doaj.org/article/f4e19ff9568849ce96ff004482851887
Publikováno v:
Proceedings of the 10th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::859cc32dec0d051723e298d44c8afd45
https://doi.org/10.1145/3557917.3567616
https://doi.org/10.1145/3557917.3567616
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
A screening system for early-stage oral cancer and precancerous lesions should be established because it is difficult to detect them even for specialists and they are often detected too late. In this paper, we propose a method for automatically class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19e2799d3f5cb9388c5694c9298f18e2
https://pubmed.ncbi.nlm.nih.gov/36086272
https://pubmed.ncbi.nlm.nih.gov/36086272
Autor:
Masaaki Hayashi, Tamon Miyake, Mitsuhiro Kamezaki, Junji Yamato, Kyosuke Saito, Taro Hamada, Eriko Sakurai, Shigeki Sugano, Jun Ohya
Publikováno v:
2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ced917479421f5c7a92c29c907729dc
https://doi.org/10.1109/ro-man53752.2022.9900711
https://doi.org/10.1109/ro-man53752.2022.9900711
Publikováno v:
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eab29b3bc093263281a36ee07bdecca9
https://doi.org/10.1109/ivmsp54334.2022.9816350
https://doi.org/10.1109/ivmsp54334.2022.9816350
Publikováno v:
International Journal of Mechanical Engineering and Robotics Research. :1432-1438
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::062fbb726ad2d702ead4bf267fe5a15e
https://doi.org/10.18178/ijmerr.9.10.1432-1438
https://doi.org/10.18178/ijmerr.9.10.1432-1438
Publikováno v:
International Journal of Mechanical Engineering and Robotics Research. :1312-1321
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2681a1e6f4623ccd3540babc04734c4
https://doi.org/10.18178/ijmerr.9.9.1312-1321
https://doi.org/10.18178/ijmerr.9.9.1312-1321
Autor:
Aline Fusco Fares, Rafael Soleman Maritan, Vinicius Fernando Ribeiro, Gabriela Modulo Molina, Rafael Teixeira Barbosa, Victor Jun Ohya Imai, Rafael Augusto Modenez Mota, Joao Victor Moraes de Oliveira, Julia Belone Lopes, Tatiana Elias Colombo, Daniel Vilarim Araujo
Publikováno v:
Journal of Clinical Oncology. 40:e24120-e24120
e24120 Background: Patients (pts) with cancer are at a higher risk of COVID-19 (C19) severe disease. However, our group and others have demonstrated a low prevalence of C19 infection among asymptomatic pts with cancer on active systemic treatment. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34f7aa887c4c2a4b255b0f096babd8ab
https://doi.org/10.1200/jco.2022.40.16_suppl.e24120
https://doi.org/10.1200/jco.2022.40.16_suppl.e24120
Autor:
Yuta Goto, Jun Ohya, Masato Sabanai, Hiroyuki Ogata, Chanjin Seo, Kazuyuki Kanosue, Koji Tagami
Publikováno v:
ICPR
This paper proposes a method that can classify foot strike types using a deep learning model and can extract unknown factors, which enables to evaluate running motions without being influenced by biases of sports experts, using the contribution degre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::807d63704168129e46146a3cba6e5884
https://doi.org/10.1109/icpr48806.2021.9413118
https://doi.org/10.1109/icpr48806.2021.9413118