Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hongzheng Yang"'
Autor:
Jianfeng Cao, Hon-Chi Yip, Yueyao Chen, Markus Scheppach, Xiaobei Luo, Hongzheng Yang, Ming Kit Cheng, Yonghao Long, Yueming Jin, Philip Wai-Yan Chiu, Yeung Yam, Helen Mei-Ling Meng, Qi Dou
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-14 (2023)
Abstract Recent advancements in artificial intelligence have witnessed human-level performance; however, AI-enabled cognitive assistance for therapeutic procedures has not been fully explored nor pre-clinically validated. Here we propose AI-Endo, an
Externí odkaz:
https://doaj.org/article/96243eb8afd14b6585b89415ebb1b698
Publikováno v:
Xin yixue, Vol 53, Iss 6, Pp 448-452 (2022)
Objective To deepen the understanding of clinicians for giant subgaleal hematoma complicated with intraorbital hematoma as the first presentation of chronic myeloid leukemia in chronic phase （CML-CP）. Methods The diagnosis and treatment of one ca
Externí odkaz:
https://doaj.org/article/1a93da8e2084420bbbb10472701d0718
Publikováno v:
IEEE transactions on medical imaging. 41(12)
Test-time adaptation (TTA) has increasingly been an important topic to efficiently tackle the cross-domain distribution shift at test time for medical images from different institutions. Previous TTA methods have a common limitation of using a fixed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69dc51e236ebe70eb8bd87d9f25c103d
https://pubmed.ncbi.nlm.nih.gov/35839185
https://pubmed.ncbi.nlm.nih.gov/35839185
Publikováno v:
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries ISBN: 9783031090011
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5892a2d1dc0644b8649704c328a137ec
https://doi.org/10.1007/978-3-031-09002-8_38
https://doi.org/10.1007/978-3-031-09002-8_38
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164361
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::716f89a3fb4e3ffa27fec22287f2ac9d
https://doi.org/10.1007/978-3-031-16437-8_19
https://doi.org/10.1007/978-3-031-16437-8_19
Federated learning (FL) allows multiple medical institutions to collaboratively learn a global model without centralizing client data. It is difficult, if possible at all, for such a global model to commonly achieve optimal performance for each indiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7da10a87238659db8b96099fa4685b50
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871987
MICCAI (3)
MICCAI (3)
Federated learning (FL) has emerged with increasing popularity to collaborate distributed medical institutions for training deep networks. However, despite existing FL algorithms only allow the supervised training setting, most hospitals in realistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7a6a36430b7233f8afc444052c369a5
https://doi.org/10.1007/978-3-030-87199-4_31
https://doi.org/10.1007/978-3-030-87199-4_31
Autor:
Hongzheng Yang
Publikováno v:
DEStech Transactions on Social Science, Education and Human Science.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b15764f3be38943394a0dd6bd4eae8c
https://doi.org/10.12783/dtssehs/emit2020/35122
https://doi.org/10.12783/dtssehs/emit2020/35122
Publikováno v:
Nonlinear Dynamics. 73:1423-1431
In this paper, the analysis problem of adaptive exponential synchronization in pth moment is considered for stochastic complex networks with time varying multi-delayed coupling. By using the Lyapunov–Krasovskii functional, stochastic analysis theor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32b28e65514abb0f374d2f5050757b8f
https://doi.org/10.1007/s11071-013-0873-0
https://doi.org/10.1007/s11071-013-0873-0