Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jingjun Tian"'
Autor:
Jingjun Tian, Veronika Hoffmann, Mohamed Gamal Ibrahim, Uwe Hansen, Andreas N. Schüring, Renata Voltolini Velho, Sylvia Mechsner, Martin Götte
Publikováno v:
Biomolecules, Vol 14, Iss 11, p 1355 (2024)
Adenomyosis (AM) is a gynecological disease characterized by the invasion of endometrial glands and stroma within the myometrium. The etiology and pathogenesis of AM remain inadequately understood. Pale cells were identified as a novel cell type char
Externí odkaz:
https://doaj.org/article/9aa58be7ef2144ddbc54ba300453ac46
Autor:
Jun Zhang, Yizhen Meng, Xiaohui Yu, Hongjing Bi, Zhipeng Chen, Huafeng Li, Runtao Yang, Jingjun Tian
Publikováno v:
IEEE Access, Vol 11, Pp 78384-78401 (2023)
Current target detection methods have achieved high accuracy for detecting large and medium-sized targets. However, due to factors such as the small number of pixels and features available for targets in images, the detection performance for small ta
Externí odkaz:
https://doaj.org/article/7a479d1beb48400e86274e699d78603e
Publikováno v:
Computer Vision – ACCV 2020 ISBN: 9783030695316
ACCV (2)
ACCV (2)
With outstanding feature extraction capabilities, deep convolutional neural networks (CNNs) have achieved extraordinary improvements in image denoising tasks. However, because of the difference of statistical characteristics of signal-dependent noise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::285b7bb40ae07cba80e2c2b09a74c10a
https://doi.org/10.1007/978-3-030-69532-3_11
https://doi.org/10.1007/978-3-030-69532-3_11
Autor:
Qianqian Pan, Rui L. Reis, Liangjie Hong, Jingjun Tian, Joaquim M. Oliveira, Huihui Zhu, Zhengwei Mao, Xiao Li
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Synergetic treatments that combine chemotherapy with photothermal/photodynamic therapy have been developed as promising new strategies for cancer therapy, especially for drug-resistant cancers. To achieve optimized synergetic outcomes for cancer ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40af346616d9935d18d6dc67c936777b
https://hdl.handle.net/1822/66395
https://hdl.handle.net/1822/66395