Zobrazeno 1 - 10
of 4 115
pro vyhledávání: '"Liu, Lian"'
Autor:
Li, Guanchen, Zhao, Xiandong, Liu, Lian, Li, Zeping, Li, Dong, Tian, Lu, He, Jie, Sirasao, Ashish, Barsoum, Emad
Pre-trained language models (PLMs) are engineered to be robust in contextual understanding and exhibit outstanding performance in various natural language processing tasks. However, their considerable size incurs significant computational and storage
Externí odkaz:
http://arxiv.org/abs/2408.10473
Autor:
Liu, Zhe, Zhu, Xiliang, Han, Tong, Huang, Yuhao, Wang, Jian, Liu, Lian, Wang, Fang, Ni, Dong, Gou, Zhongshan, Yang, Xin
Mitral regurgitation (MR) is a serious heart valve disease. Early and accurate diagnosis of MR via ultrasound video is critical for timely clinical decision-making and surgical intervention. However, manual MR diagnosis heavily relies on the operator
Externí odkaz:
http://arxiv.org/abs/2407.21497
Fine-grained spatio-temporal learning is crucial for freehand 3D ultrasound reconstruction. Previous works mainly resorted to the coarse-grained spatial features and the separated temporal dependency learning and struggles for fine-grained spatio-tem
Externí odkaz:
http://arxiv.org/abs/2407.04242
In this work, we investigate the collective flow development in high energy proton proton (pp) collisions with a multiphase transport model (AMPT) based on PYTHIA8 initial conditions with a sub-nucleon structure. It is found that the PYTHIA8 based AM
Externí odkaz:
http://arxiv.org/abs/2404.18829
Autor:
Wang, Jian, Yang, Xin, Jia, Xiaohong, Xue, Wufeng, Chen, Rusi, Chen, Yanlin, Zhu, Xiliang, Liu, Lian, Cao, Yan, Zhou, Jianqiao, Ni, Dong, Gu, Ning
Thyroid nodule classification and segmentation in ultrasound images are crucial for computer-aided diagnosis; however, they face limitations owing to insufficient labeled data. In this study, we proposed a multi-view contrastive self-supervised metho
Externí odkaz:
http://arxiv.org/abs/2402.11497
Autor:
Zhou, Liguo, Song, Yinglei, Gao, Yichao, Yu, Zhou, Sodamin, Michael, Liu, Hongshen, Ma, Liang, Liu, Lian, Liu, Hao, Liu, Yang, Li, Haichuan, Chen, Guang, Knoll, Alois
Conducting real road testing for autonomous driving algorithms can be expensive and sometimes impractical, particularly for small startups and research institutes. Thus, simulation becomes an important method for evaluating these algorithms. However,
Externí odkaz:
http://arxiv.org/abs/2401.15803
Autor:
Yan, Zhongnuo, Han, Tong, Huang, Yuhao, Liu, Lian, Zhou, Han, Chen, Jiongquan, Shi, Wenlong, Cao, Yan, Yang, Xin, Ni, Dong
Medical image segmentation aims to delineate the anatomical or pathological structures of interest, playing a crucial role in clinical diagnosis. A substantial amount of high-quality annotated data is crucial for constructing high-precision deep segm
Externí odkaz:
http://arxiv.org/abs/2309.17264
Autor:
Zhou, Han, Ni, Dong, Chang, Ao, Zhou, Xinrui, Chen, Rusi, Chen, Yanlin, Liu, Lian, Liang, Jiamin, Huang, Yuhao, Han, Tong, Liu, Zhe, Fan, Deng-Ping, Yang, Xin
Ultrasound (US) imaging is indispensable in clinical practice. To diagnose certain diseases, sonographers must observe corresponding dynamic anatomic structures to gather comprehensive information. However, the limited availability of specific US vid
Externí odkaz:
http://arxiv.org/abs/2308.08269
Autor:
Liu, Lian, Zhou, Han, Chen, Jiongquan, Liu, Sijing, Shi, Wenlong, Ni, Dong, Fan, Deng-Ping, Yang, Xin
Deep neural networks have been widely applied in dichotomous medical image segmentation (DMIS) of many anatomical structures in several modalities, achieving promising performance. However, existing networks tend to struggle with task-specific, heavy
Externí odkaz:
http://arxiv.org/abs/2306.03497
Autor:
Liu, Lian, Zhou, liguo
CNN-based face detection methods have achieved significant progress in recent years. In addition to the strong representation ability of CNN, post-processing methods are also very important for the performance of face detection. In general, the face
Externí odkaz:
http://arxiv.org/abs/2305.10593