Zobrazeno 1 - 10
of 443
pro vyhledávání: '"HE, HONGJIAN"'
Autor:
Liao, Congyu, Cao, Xiaozhi, Iyer, Siddharth Srinivasan, Schauman, Sophie, Zhou, Zihan, Yan, Xiaoqian, Chen, Quan, Li, Zhitao, Wang, Nan, Gong, Ting, Wu, Zhe, He, Hongjian, Zhong, Jianhui, Yang, Yang, Kerr, Adam, Grill-Spector, Kalanit, Setsompop, Kawin
Publikováno v:
Magnetic Resonance in Medicine 2023
Purpose: This study aims to develop a high-resolution whole-brain multi-parametric quantitative MRI approach for simultaneous mapping of myelin-water fraction (MWF), T1, T2, and proton-density (PD), all within a clinically feasible scan time. Methods
Externí odkaz:
http://arxiv.org/abs/2312.13523
Autor:
He, Hongjian, Xie, Jiang, Huang, Dingkai, Zhang, Mengfei, Zhao, Xuyu, Ying, Yiwei, Wang, Jiao
Publikováno v:
In Journal of Molecular Graphics and Modelling July 2024 130
Currently, it is hard to compare and evaluate different style transfer algorithms due to chaotic definitions of style and the absence of agreed objective validation methods in the study of style transfer. In this paper, a novel approach, the Unified
Externí odkaz:
http://arxiv.org/abs/2110.10481
Publikováno v:
In Brain Research 15 October 2024 1841
Autor:
Cao, Xiaozhi, Liao, Congyu, Iyer, Siddharth Srinivasan, Wang, Zhixing, Zhou, Zihan, Dai, Erpeng, Liberman, Gilad, Dong, Zijing, Gong, Ting, He, Hongjian, Zhong, Jianhui, Bilgic, Berkin, Setsompop, Kawin
Publikováno v:
Magnetic Resonance in Medicine, 2022
Purpose: To improve image quality and accelerate the acquisition of 3D MRF. Methods: Building on the multi-axis spiral-projection MRF technique, a subspace reconstruction with locally low rank (LLR) constraint and a modified spiral-projection spatiot
Externí odkaz:
http://arxiv.org/abs/2108.05985
Autor:
Yang, Qinqin, Lin, Yanhong, Wang, Jiechao, Bao, Jianfeng, Wang, Xiaoyin, Ma, Lingceng, Zhou, Zihan, Yang, Qizhi, Cai, Shuhui, He, Hongjian, Cai, Congbo, Dong, Jiyang, Cheng, Jingliang, Chen, Zhong, Zhong, Jianhui
Use of synthetic data has provided a potential solution for addressing unavailable or insufficient training samples in deep learning-based magnetic resonance imaging (MRI). However, the challenge brought by domain gap between synthetic and real data
Externí odkaz:
http://arxiv.org/abs/2107.14521
Autor:
Wei, Lancheng, He, Hongjian, Yang, Shuting, Shi, Qianqian, Wang, Xinhang, Huang, Liyuan, Lu, Jianyong, Shen, Yinghui, Zhi, Kaikai, Xiang, Junni, Chen, Chengying, Mo, Jiao, Zheng, Zhijian, Zou, Yunfeng, Yang, Xiaobo, Tang, Shen, Li, Xiyi, Lu, Cailing
Publikováno v:
In Ecotoxicology and Environmental Safety 1 June 2024 277
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 7, Pp 1609-1621 (2023)
The construction of cell differentiation trajectories from single-cell transcriptomic data or proteomic data by single-cell trajectory inference methods can help to understand the developmental process of normal tissues or provide pathologically rele
Externí odkaz:
https://doaj.org/article/2b60d49c61194f568ca52a7ec320e7a7
Publikováno v:
In Computational Biology and Chemistry February 2024 108
Quantitative Susceptibility Mapping (QSM) is a new phase-based technique for quantifying magnetic susceptibility. The existing QSM reconstruction methods generally require complicated pre-processing on high-quality phase data. In this work, we propos
Externí odkaz:
http://arxiv.org/abs/2010.05395