Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Lyu, Yanjun"'
Autor:
Liu, Zhengliang, Jiang, Hanqi, Zhong, Tianyang, Wu, Zihao, Ma, Chong, Li, Yiwei, Yu, Xiaowei, Zhang, Yutong, Pan, Yi, Shu, Peng, Lyu, Yanjun, Zhang, Lu, Yao, Junjie, Dong, Peixin, Cao, Chao, Xiao, Zhenxiang, Wang, Jiaqi, Zhao, Huan, Xu, Shaochen, Wei, Yaonai, Chen, Jingyuan, Dai, Haixing, Wang, Peilong, He, Hao, Wang, Zewei, Wang, Xinyu, Zhang, Xu, Zhao, Lin, Liu, Yiheng, Zhang, Kai, Yan, Liheng, Sun, Lichao, Liu, Jun, Qiang, Ning, Ge, Bao, Cai, Xiaoyan, Zhao, Shijie, Hu, Xintao, Yuan, Yixuan, Li, Gang, Zhang, Shu, Zhang, Xin, Jiang, Xi, Zhang, Tuo, Shen, Dinggang, Li, Quanzheng, Liu, Wei, Li, Xiang, Zhu, Dajiang, Liu, Tianming
In this paper, we present a large-scale evaluation probing GPT-4V's capabilities and limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial general intelligence (AGI) for computer vision, with applications in the bi
Externí odkaz:
http://arxiv.org/abs/2312.05256
Autor:
Dai, Haixing, Zhang, Lu, Zhao, Lin, Wu, Zihao, Liu, Zhengliang, Liu, David, Yu, Xiaowei, Lyu, Yanjun, Li, Changying, Liu, Ninghao, Liu, Tianming, Zhu, Dajiang
With the popularity of deep neural networks (DNNs), model interpretability is becoming a critical concern. Many approaches have been developed to tackle the problem through post-hoc analysis, such as explaining how predictions are made or understandi
Externí odkaz:
http://arxiv.org/abs/2307.04343
Autor:
Yu, Xiaowei, Zhang, Lu, Dai, Haixing, Lyu, Yanjun, Zhao, Lin, Wu, Zihao, Liu, David, Liu, Tianming, Zhu, Dajiang
Designing more efficient, reliable, and explainable neural network architectures is critical to studies that are based on artificial intelligence (AI) techniques. Previous studies, by post-hoc analysis, have found that the best-performing ANNs surpri
Externí odkaz:
http://arxiv.org/abs/2303.15569
Autor:
Yu, Xiaowei, Zhang, Lu, Dai, Haixing, Zhao, Lin, Lyu, Yanjun, Wu, Zihao, Liu, Tianming, Zhu, Dajiang
The human cerebral cortex is highly convoluted into convex gyri and concave sulci. It has been demonstrated that gyri and sulci are significantly different in their anatomy, connectivity, and function, besides exhibiting opposite shape patterns, long
Externí odkaz:
http://arxiv.org/abs/2302.00146
Autor:
Zhang, Lu, Yu, Xiaowei, Lyu, Yanjun, Wu, Zhengwang, Dai, Haixing, Zhao, Lin, Wang, Li, Li, Gang, Liu, Tianming, Zhu, Dajiang
Effective representation of brain anatomical architecture is fundamental in understanding brain regularity and variability. Despite numerous efforts, it is still difficult to infer reliable anatomical correspondence at finer scale, given the tremendo
Externí odkaz:
http://arxiv.org/abs/2205.13644
How to identify and characterize functional brain networks (BN) is fundamental to gain system-level insights into the mechanisms of brain organizational architecture. Current functional magnetic resonance (fMRI) analysis highly relies on prior knowle
Externí odkaz:
http://arxiv.org/abs/2204.09225
Autor:
Gong, Xinyu, Zhang, Jianli, Gan, Qi, Teng, Yuxi, Hou, Jixin, Lyu, Yanjun, Liu, Zhengliang, Wu, Zihao, Dai, Runpeng, Zou, Yusong, Wang, Xianqiao, Zhu, Dajiang, Zhu, Hongtu, Liu, Tianming, Yan, Yajun
Publikováno v:
In Biotechnology Advances September 2024 74
Socioeconomic Status and Tooth Loss Impact on Oral Health–Related Quality of Life in Chinese Elderly
Publikováno v:
In International Dental Journal April 2024 74(2):268-275
Mild cognitive impairment (MCI) is a high-risk dementia condition which progresses to probable Alzheimer's disease (AD) at approximately 10% to 15% per year. Characterization of group-level differences between two subtypes of MCI - stable MCI (sMCI)
Externí odkaz:
http://arxiv.org/abs/2106.07622
Publikováno v:
In Meta-Radiology March 2024 2(1)