Zobrazeno 1 - 10
of 29 081
pro vyhledávání: '"Yang, Guang"'
This review examined the current advancements in data-driven methods for analyzing flow and transport in porous media, which has various applications in energy, chemical engineering, environmental science, and beyond. Although there has been progress
Externí odkaz:
http://arxiv.org/abs/2406.19939
Autor:
Wang, Zi, Wang, Fanwen, Qin, Chen, Lyu, Jun, Cheng, Ouyang, Wang, Shuo, Li, Yan, Yu, Mengyao, Zhang, Haoyu, Guo, Kunyuan, Shi, Zhang, Li, Qirong, Xu, Ziqiang, Zhang, Yajing, Li, Hao, Hua, Sha, Chen, Binghua, Sun, Longyu, Sun, Mengting, Li, Qin, Chu, Ying-Hua, Bai, Wenjia, Qin, Jing, Zhuang, Xiahai, Prieto, Claudia, Young, Alistair, Markl, Michael, Wang, He, Wu, Lianming, Yang, Guang, Qu, Xiaobo, Wang, Chengyan
Cardiac magnetic resonance imaging (MRI) has emerged as a clinically gold-standard technique for diagnosing cardiac diseases, thanks to its ability to provide diverse information with multiple modalities and anatomical views. Accelerated cardiac MRI
Externí odkaz:
http://arxiv.org/abs/2406.19043
Autor:
Yang, Bohao, Liu, Dong, Tang, Chen, Xiao, Chenghao, Zhao, Kun, Li, Chao, Yuan, Lin, Yang, Guang, Huang, Lanxiao, Lin, Chenghua
Large Language Models (LLMs) possess the remarkable capability to understand human instructions and generate high-quality text, enabling them to act as agents that simulate human behaviours. This capability allows LLMs to emulate human beings in a mo
Externí odkaz:
http://arxiv.org/abs/2406.17962
The manifestation of symptoms associated with lung diseases can vary in different depths for individual patients, highlighting the significance of 3D information in CT scans for medical image classification. While Vision Transformer has shown superio
Externí odkaz:
http://arxiv.org/abs/2406.17173
Autor:
Zhang, Sheng, Nan, Yang, Fang, Yingying, Wang, Shiyi, Xing, Xiaodan, Gao, Zhifan, Yang, Guang
Automatic lung organ segmentation on CT images is crucial for lung disease diagnosis. However, the unlimited voxel values and class imbalance of lung organs can lead to false-negative/positive and leakage issues in advanced methods. Additionally, som
Externí odkaz:
http://arxiv.org/abs/2406.16189
In the field of medical imaging, particularly in tasks related to early disease detection and prognosis, understanding the reasoning behind AI model predictions is imperative for assessing their reliability. Conventional explanation methods encounter
Externí odkaz:
http://arxiv.org/abs/2406.15182
Autor:
Wang, Fanwen, Luo, Yihao, Wen, Ke, Huang, Jiahao, Ferreira, Pedro F., Luo, Yaqing, Wu, Yinzhe, Munoz, Camila, Pennell, Dudley J., Scott, Andrew D., Nielles-Vallespin, Sonia, Yang, Guang
Diffusion tensor based cardiovascular magnetic resonance (DT-CMR) offers a non-invasive method to visualize the myocardial microstructure. With the assumption that the heart is stationary, frames are acquired with multiple repetitions for different d
Externí odkaz:
http://arxiv.org/abs/2406.13788
Autor:
Wang, Fanwen, Ferreira, Pedro F., Munoz, Camila, Wen, Ke, Luo, Yaqing, Huang, Jiahao, Wu, Yinzhe, Pennell, Dudley J., Scott, Andrew D., Nielles-Vallespin, Sonia, Yang, Guang
Publikováno v:
ISMRM 2024 Digital poster 2141
Motivation: Post-processing of in-vivo diffusion tensor CMR (DT-CMR) is challenging due to the low SNR and variation in contrast between frames which makes image registration difficult, and the need to manually reject frames corrupted by motion. Goal
Externí odkaz:
http://arxiv.org/abs/2406.13708
Evaluation metrics are crucial in the field of code synthesis. Commonly used code evaluation metrics canbe classified into three types: match-based, semantic-based, and execution-based. Among them, the execution-basedPass@k metric accurately assesses
Externí odkaz:
http://arxiv.org/abs/2406.06902
This study explores the dynamics of dispersed bubbly turbulent flow in a channel using interface-resolved direct numerical simulation (DNS) with an efficient Coupled Level-Set Volume-of-Fluid (CLSVOF) solver. The influence of number of bubbles (96 an
Externí odkaz:
http://arxiv.org/abs/2406.04019