Zobrazeno 1 - 10
of 214
pro vyhledávání: '"Qiu, Zhaowen"'
Autor:
Chu, Yuetan, Luo, Gongning, Zhou, Longxi, Cao, Shaodong, Ma, Guolin, Meng, Xianglin, Zhou, Juexiao, Yang, Changchun, Xie, Dexuan, Henao, Ricardo, Xiao, Xigang, Wu, Lianming, Qiu, Zhaowen, Gao, Xin
Pulmonary artery-vein segmentation is crucial for diagnosing pulmonary diseases and surgical planning, and is traditionally achieved by Computed Tomography Pulmonary Angiography (CTPA). However, concerns regarding adverse health effects from contrast
Externí odkaz:
http://arxiv.org/abs/2404.07671
Autor:
Luo, Gongning, Wang, Kuanquan, Liu, Jun, Li, Shuo, Liang, Xinjie, Li, Xiangyu, Gan, Shaowei, Wang, Wei, Dong, Suyu, Wang, Wenyi, Yu, Pengxin, Liu, Enyou, Wei, Hongrong, Wang, Na, Guo, Jia, Li, Huiqi, Zhang, Zhao, Zhao, Ziwei, Gao, Na, An, Nan, Pakzad, Ashkan, Rangelov, Bojidar, Dou, Jiaqi, Tian, Song, Liu, Zeyu, Wang, Yi, Sivalingam, Ampatishan, Punithakumar, Kumaradevan, Qiu, Zhaowen, Gao, Xin
Efficient automatic segmentation of multi-level (i.e. main and branch) pulmonary arteries (PA) in CTPA images plays a significant role in clinical applications. However, most existing methods concentrate only on main PA or branch PA segmentation sepa
Externí odkaz:
http://arxiv.org/abs/2304.03708
Autor:
Jia, Xi, Bartlett, Joseph, Chen, Wei, Song, Siyang, Zhang, Tianyang, Cheng, Xinxing, Lu, Wenqi, Qiu, Zhaowen, Duan, Jinming
Unsupervised image registration commonly adopts U-Net style networks to predict dense displacement fields in the full-resolution spatial domain. For high-resolution volumetric image data, this process is however resource-intensive and time-consuming.
Externí odkaz:
http://arxiv.org/abs/2211.16342
Due to their extreme long-range modeling capability, vision transformer-based networks have become increasingly popular in deformable image registration. We believe, however, that the receptive field of a 5-layer convolutional U-Net is sufficient to
Externí odkaz:
http://arxiv.org/abs/2208.04939
Autor:
Zhang, Tianyang, Zheng, Shaoming, Cheng, Jun, Jia, Xi, Bartlett, Joseph, Cheng, Xinxing, Fu, Huazhu, Qiu, Zhaowen, Liu, Jiang, Duan, Jinming
Generative models have been widely proposed in image recognition to generate more images where the distribution is similar to that of the real ones. It often introduces a discriminator network to differentiate the real data from the generated ones. S
Externí odkaz:
http://arxiv.org/abs/2205.12857
Publikováno v:
In Urban Climate May 2024 55
Publikováno v:
In Environmental Pollution 15 September 2024 357
Publikováno v:
In Atmospheric Pollution Research February 2024 15(2)
Publikováno v:
In Science of the Total Environment 1 October 2023 893
Publikováno v:
In Urban Climate July 2023 50