Recent symptomatic Omicron infection reduced COVID-19 pneumonia risk during reinfection: A computed tomography–based cohort study

Autor: Yulan Zheng, Shijun Jia, Lu Tang, Lu Yu, Xuejiao Yang, Shuai Yang, Qingtian Ke, Zhengjiang Cheng, Yufang Zhu, Hui Chen, Peng Hong

Publikováno v: International Journal of Infectious Diseases, Vol 146, Iss , Pp 107164- (2024)

Objectives: SARS-CoV-2 infection could cause persistent lung injury or indicate potential genetic susceptibilities. Although infection-elicited hybrid immunity could protect against severe COVID-19, it remains unknown whether recent infection could r

Externí odkaz: https://doaj.org/article/1967056f2e8c4f7ab56ab5cb1eb8e401

Hybrid-TransCD: A Hybrid Transformer Remote Sensing Image Change Detection Network via Token Aggregation

Autor: Qingtian Ke, Peng Zhang

Publikováno v: ISPRS International Journal of Geo-Information, Vol 11, Iss 4, p 263 (2022)

Existing optical remote sensing image change detection (CD) methods aim to learn an appropriate discriminate decision by analyzing the feature information of bitemporal images obtained at the same place. However, the complex scenes in high-resolution

Externí odkaz: https://doaj.org/article/82e5170f8d164537a3ae17b608484692

MCCRNet: A Multi-Level Change Contextual Refinement Network for Remote Sensing Image Change Detection

Autor: Peng Zhang, Qingtian Ke

Publikováno v: ISPRS International Journal of Geo-Information, Vol 10, Iss 591, p 591 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 9

Change detection based on bi-temporal remote sensing images has made significant progress in recent years, aiming to identify the changed and unchanged pixels between a registered pair of images. However, most learning-based change detection methods

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cee989f078c774ca5291b37c4c4fff2
https://www.mdpi.com/2220-9964/10/9/591