Zobrazeno 1 - 10
of 1 055
pro vyhledávání: '"LIN Jianzhong"'
Autor:
Liu Cong, Tang Dongying, Zhou Zhengkun, Zeng Hui, Hu Xiaochun, Tan Yanning, Qin Peng, Deng Yong, Wu Jicai, Wang Yan, Yang Yuanzhu, Yuan Dingyang, Liu Xuanming, Lin Jianzhong
Publikováno v:
Rice Science, Vol 28, Iss 6, Pp 529-531 (2021)
Externí odkaz:
https://doaj.org/article/13d1f12ad2a044eb82688e15eeb7effb
Publikováno v:
南方能源建设, Vol 6, Iss 4, Pp 75-79 (2019)
[Introduction] Many foreign projects need to adopt American standards for design, and many engineers are not familiar with these. [Method] In order to facilitate the relevant engineer involving in foreign projects to quickly understand the difference
Externí odkaz:
https://doaj.org/article/0a63c5502d54405180ae47228e215e25
Autor:
Zhou, Yirong, Wang, Chengyan, Lu, Mengtian, Guo, Kunyuan, Wang, Zi, Ruan, Dan, Guo, Rui, Zhao, Peijun, Wang, Jianhua, Wu, Naiming, Lin, Jianzhong, Chen, Yinyin, Jin, Hang, Xie, Lianxin, Wu, Lilan, Zhu, Liuhong, Zhou, Jianjun, Cai, Congbo, Wang, He, Qu, Xiaobo
In cardiac Magnetic Resonance Imaging (MRI) analysis, simultaneous myocardial segmentation and T2 quantification are crucial for assessing myocardial pathologies. Existing methods often address these tasks separately, limiting their synergistic poten
Externí odkaz:
http://arxiv.org/abs/2405.10570
Autor:
Wu, Zejun, Wang, Jiechao, Chen, Zunquan, Yang, Qinqin, Xing, Zhen, Cao, Dairong, Bao, Jianfeng, Kang, Taishan, Lin, Jianzhong, Cai, Shuhui, Chen, Zhong, Cai, Congbo
Objective: Most deep neural network-based diffusion tensor imaging methods require the diffusion gradients' number and directions in the data to be reconstructed to match those in the training data. This work aims to develop and evaluate a novel dyna
Externí odkaz:
http://arxiv.org/abs/2308.01173
Autor:
Wang, Zi, Yu, Xiaotong, Wang, Chengyan, Chen, Weibo, Wang, Jiazheng, Chu, Ying-Hua, Sun, Hongwei, Li, Rushuai, Li, Peiyong, Yang, Fan, Han, Haiwei, Kang, Taishan, Lin, Jianzhong, Yang, Chen, Chang, Shufu, Shi, Zhang, Hua, Sha, Li, Yan, Hu, Juan, Zhu, Liuhong, Zhou, Jianjun, Lin, Meijing, Guo, Jiefeng, Cai, Congbo, Chen, Zhong, Guo, Di, Yang, Guang, Qu, Xiaobo
Magnetic resonance imaging (MRI) is a widely used radiological modality renowned for its radiation-free, comprehensive insights into the human body, facilitating medical diagnoses. However, the drawback of prolonged scan times hinders its accessibili
Externí odkaz:
http://arxiv.org/abs/2307.13220
Autor:
Chen, Xiaodie, Li, Jiayu, Chen, Dicheng, Zhou, Yirong, Tu, Zhangren, Lin, Meijin, Kang, Taishan, Lin, Jianzhong, Gong, Tao, Zhu, Liuhong, Zhou, Jianjun, Ou-yang, Lin, Guo, Jiefeng, Dong, Jiyang, Guo, Di, Qu, Xiaobo
Magnetic resonance spectroscopy (MRS) is an important clinical imaging method for diagnosis of diseases. MRS spectrum is used to observe the signal intensity of metabolites or further infer their concentrations. Although the magnetic resonance vendor
Externí odkaz:
http://arxiv.org/abs/2306.11021
Autor:
Chen, Dicheng, Lin, Meijin, Liu, Huiting, Li, Jiayu, Zhou, Yirong, Kang, Taishan, Lin, Liangjie, Wu, Zhigang, Wang, Jiazheng, Li, Jing, Lin, Jianzhong, Chen, Xi, Guo, Di, Qu, Xiaobo
Objective: Magnetic Resonance Spectroscopy (MRS) is an important technique for biomedical detection. However, it is challenging to accurately quantify metabolites with proton MRS due to serious overlaps of metabolite signals, imperfections because of
Externí odkaz:
http://arxiv.org/abs/2306.09681
Autor:
Zhou, Yirong, Qian, Chen, Li, Jiayu, Wang, Zi, Hu, Yu, Qu, Biao, Zhu, Liuhong, Zhou, Jianjun, Kang, Taishan, Lin, Jianzhong, Hong, Qing, Dong, Jiyang, Guo, Di, Qu, Xiaobo
Efficient collaboration between engineers and radiologists is important for image reconstruction algorithm development and image quality evaluation in magnetic resonance imaging (MRI). Here, we develop CloudBrain-ReconAI, an online cloud computing pl
Externí odkaz:
http://arxiv.org/abs/2212.01878
Autor:
Wang, Zi, Fang, Haoming, Qian, Chen, Shi, Boxuan, Bao, Lijun, Zhu, Liuhong, Zhou, Jianjun, Wei, Wenping, Lin, Jianzhong, Guo, Di, Qu, Xiaobo
Magnetic resonance imaging (MRI) is an essential diagnostic tool that suffers from prolonged scan time. To alleviate this limitation, advanced fast MRI technology attracts extensive research interests. Recent deep learning has shown its great potenti
Externí odkaz:
http://arxiv.org/abs/2210.12723
Autor:
Qian, Chen, Gao, Yuncheng, Han, Mingyang, Wang, Zi, Ruan, Dan, Shen, Yu, Wu, Yaping, Zhou, Yirong, Wang, Chengyan, Jiang, Boyu, Tao, Ran, Wu, Zhigang, Wang, Jiazheng, Zhu, Liuhong, Guo, Yi, Kang, Taishan, Lin, Jianzhong, Gong, Tao, Yang, Chen, Fei, Guoqiang, Lin, Meijin, Guo, Di, Zhou, Jianjun, Wang, Meiyun, Qu, Xiaobo
Diffusion magnetic resonance imaging (MRI) is the only imaging modality for non-invasive movement detection of in vivo water molecules, with significant clinical and research applications. Diffusion MRI (DWI) acquired by multi-shot techniques can ach
Externí odkaz:
http://arxiv.org/abs/2210.11388