Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Songbai Jin"'
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-10
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb46852f37ca4f8573b9ec4b0ad881f9
https://doi.org/10.1109/tgrs.2023.3253888
https://doi.org/10.1109/tgrs.2023.3253888
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. :1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42c6484bc384d467825599f19d98228b
https://doi.org/10.1109/jbhi.2023.3236989
https://doi.org/10.1109/jbhi.2023.3236989
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ea0fd05cb60bc47d597f2392aa966fc
https://doi.org/10.1109/tgrs.2022.3205301
https://doi.org/10.1109/tgrs.2022.3205301
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af915da7755c62189a0460267a429a93
https://doi.org/10.1109/icip46576.2022.9898006
https://doi.org/10.1109/icip46576.2022.9898006
Publikováno v:
2022 IEEE International Ultrasonics Symposium (IUS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3aeb6ccd7b03cbab3bab3bedd7a6d310
https://doi.org/10.1109/ius54386.2022.9958234
https://doi.org/10.1109/ius54386.2022.9958234
Publikováno v:
2022 IEEE International Ultrasonics Symposium (IUS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b66b543ca786e7bfb5a12aed637e4db4
https://doi.org/10.1109/ius54386.2022.9957223
https://doi.org/10.1109/ius54386.2022.9957223
Publikováno v:
2022 IEEE International Ultrasonics Symposium (IUS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b278287f9a13e8c897caa0f9855461b
https://doi.org/10.1109/ius54386.2022.9957451
https://doi.org/10.1109/ius54386.2022.9957451
Publikováno v:
Computers in biology and medicine. 149
In recent years, deep learning techniques have demonstrated promising performances in echocardiography (echo) data segmentation, which constitutes a critical step in the diagnosis and prognosis of cardiovascular diseases (CVDs). However, their succes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ce510f43a5815fc94dbdb3ea443effd
https://pubmed.ncbi.nlm.nih.gov/36115304
https://pubmed.ncbi.nlm.nih.gov/36115304
Autor:
Patrice Monkam, Wenkai Lu, Songbai Jin, Wenjun Shan, Jing Wu, Xiang Zhou, Bo Tang, Hua Zhao, Hongmin Zhang, Xin Ding, Huan Chen, Longxiang Su
Publikováno v:
Computers in Biology and Medicine. 152:106385
Numerous traditional filtering approaches and deep learning-based methods have been proposed to improve the quality of ultrasound (US) image data. However, their results tend to suffer from over-smoothing and loss of texture and fine details. Moreove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4f62621a72fe7e28da2a5f37f62965c
https://doi.org/10.1016/j.compbiomed.2022.106385
https://doi.org/10.1016/j.compbiomed.2022.106385