Zobrazeno 1 - 10
of 2 318
pro vyhledávání: '"ZHENG Hairong"'
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 40, Iss 03, Pp 239-245 (2023)
Deuterium (2H) magnetic resonance imaging is an emerging molecular metabolic imaging method that can visualize the metabolic pathway in vivo, and therefore has great potential in clinical applications such as cancer detection. In this work, we aimed
Externí odkaz:
https://doaj.org/article/fb9da0bb95af468cb0136d29eec4e030
Local controllability of hot electron and thermal effects enabled by chiral plasmonic nanostructures
Autor:
Kang Bowen, Zhang Tingting, Yan Lei, Gou Chengxiang, Jiang Zihe, Ji Min, Chen Li, Zhang Zhenglong, Zheng Hairong, Xu Hongxing
Publikováno v:
Nanophotonics, Vol 11, Iss 6, Pp 1195-1202 (2022)
The control of hot electron (HE) and thermal effects induced by plasmonic nanostructures has recently attracted considerable attention. When illuminated by light with different circular polarization states, the circular dichroism signal of molecules
Externí odkaz:
https://doaj.org/article/6d05a54e10d646849cab78e66b5d4e35
Autor:
Tuxun Hairegu, Cai Zefeng, Ji Min, Zhang Baobao, Zhang Chengyun, Li Jinping, Yu Xudong, Fu Zhengkun, Zhang Zhenglong, Zheng Hairong
Publikováno v:
Nanophotonics, Vol 11, Iss 5, Pp 979-986 (2022)
Understanding how plasmonic nanostructures generate heat upon exposure to light, and thus increase the local temperature of the surrounding medium is important for many applications. Reliable temperature manipulation requires analyzing the local temp
Externí odkaz:
https://doaj.org/article/f4376ace5da444b5b457f3ae1c9e59a2
Autor:
Wang, Yue, Zhou, Tian, Cui, Zhuo-xu, Huang, Bingsheng, Zheng, Hairong, Liang, Dong, Zhu, Yanjie
Magnetic Resonance Imaging (MRI) is a multi-contrast imaging technique in which different contrast images share similar structural information. However, conventional diffusion models struggle to effectively leverage this structural similarity. Recent
Externí odkaz:
http://arxiv.org/abs/2411.14269
Neurite Orientation Dispersion and Density Imaging (NODDI) microstructure estimation from diffusion magnetic resonance imaging (dMRI) is of great significance for the discovery and treatment of various neurological diseases. Current deep learning-bas
Externí odkaz:
http://arxiv.org/abs/2411.06444
Autor:
Zhou, Shuo, Zhou, Yihang, Liu, Congcong, Zhu, Yanjie, Zheng, Hairong, Liang, Dong, Wang, Haifeng
Magnetic resonance image reconstruction starting from undersampled k-space data requires the recovery of many potential nonlinear features, which is very difficult for algorithms to recover these features. In recent years, the development of quantum
Externí odkaz:
http://arxiv.org/abs/2410.09406
Autor:
Mo, Zhiguang, Che, Shao, Xiao, Enhua, Chen, Qiaoyan, Du, Feng, Li, Nan, Jia, Sen, Tie, Changjun, Wu, Bing, Zhang, Xiaoliang, Zheng, Hairong, Li, Ye
The performance of radiofrequency (RF) coils has a significant impact on the quality and speed of magnetic resonance imaging (MRI). Consequently, rigid coils with attached cables are commonly employed to achieve optimal SNR performance and parallel i
Externí odkaz:
http://arxiv.org/abs/2409.20095
Publikováno v:
生物医学转化, Vol 1, Iss 1, Pp 8-17 (2020)
At present, medical ultrasound technology is gradually developing from the traditional imagingof tissue and organ structure based on wave effect of ultrasound, and the treatment of diseased tissue based on thermal and cavitation effects, to the direc
Externí odkaz:
https://doaj.org/article/dbf70d03f41e4f1c952962d9134d926c
Autor:
Zhang, Xin, Xie, Jixiong, Su, Ting, Zhu, Jiongtao, Cui, Han, Tan, Yuhang, Xia, Dongmei, Zheng, Hairong, Liang, Dong, Ge, Yongshuai
Background: Recently, the popularity of dual-layer flat-panel detector (DL-FPD) based dual-energy cone-beam CT (DE-CBCT) imaging has been increasing. However, the image quality of DE-CBCT remains constrained by the Compton scattered X-ray photons. Pu
Externí odkaz:
http://arxiv.org/abs/2408.04943
Autor:
Lin, Ling, Zhou, Yihang, Hu, Zhanqi, Jiang, Dian, Liu, Congcong, Zhou, Shuo, Zhu, Yanjie, Liao, Jianxiang, Liang, Dong, Zheng, Hairong, Wang, Haifeng
Tuberous sclerosis complex (TSC) manifests as a multisystem disorder with significant neurological implications. This study addresses the critical need for robust classification models tailored to TSC in pediatric patients, introducing QResNet,a nove
Externí odkaz:
http://arxiv.org/abs/2408.12615