1 code implementation • 11 Jan 2024 • Na Wang, Lei Qi, Jintao Guo, Yinghuan Shi, Yang Gao
2) From the feature perspective, the simple Tail Interaction module implicitly enhances potential correlations among all samples from all source domains, facilitating the acquisition of domain-invariant representations across multiple domains for the model.
no code implementations • 30 Dec 2023 • Jing Jiao, Jin Zhou, Xiaokang Li, Menghua Xia, Yi Huang, Lihong Huang, Na Wang, Xiaofan Zhang, Shichong Zhou, Yuanyuan Wang, Yi Guo
In this paper, we present a universal US foundation model, named USFM, generalized to diverse tasks and organs towards label efficient US image analysis.
no code implementations • 24 Jul 2023 • Qi Su, Na Wang, Jiawen Xie, Yinan Chen, Xiaofan Zhang
Therefore, we propose a new automatic lung lobe segmentation framework, in which we urge the model to pay attention to the area around the pulmonary fissure during the training process, which is realized by a task-specific loss function.
no code implementations • 7 Apr 2023 • Gongning Luo, Kuanquan Wang, Jun Liu, Shuo Li, Xinjie Liang, Xiangyu Li, Shaowei Gan, Wei Wang, Suyu Dong, Wenyi Wang, Pengxin Yu, Enyou Liu, Hongrong Wei, Na Wang, Jia Guo, Huiqi Li, Zhao Zhang, Ziwei Zhao, Na Gao, Nan An, Ashkan Pakzad, Bojidar Rangelov, Jiaqi Dou, Song Tian, Zeyu Liu, Yi Wang, Ampatishan Sivalingam, Kumaradevan Punithakumar, Zhaowen Qiu, Xin Gao
Efficient automatic segmentation of multi-level (i. e. main and branch) pulmonary arteries (PA) in CTPA images plays a significant role in clinical applications.
1 code implementation • CVPR 2023 • Jintao Guo, Na Wang, Lei Qi, Yinghuan Shi
However, the local operation of the convolution kernel makes the model focus too much on local representations (e. g., texture), which inherently causes the model more prone to overfit to the source domains and hampers its generalization ability.
no code implementations • The Astrophysical Journal 2022 • Hao Shan, Jianping Yuan, Na Wang, Zhen Wang
In pulsar signal processing, two primary difficulties are (1) radio-frequency interference (RFI) mitigation and (2) information loss due to preprocessing and mitigation itself.
1 code implementation • 6 Dec 2021 • Lielin Jiang, Na Wang, Qingqing Dang, Rui Liu, Baohua Lai
Different from the Single Image Super-Resolution(SISR) task, the key for Video Super-Resolution(VSR) task is to make full use of complementary information across frames to reconstruct the high-resolution sequence.
1 code implementation • 21 Nov 2021 • Wenhui Lei, Qi Su, Ran Gu, Na Wang, Xinglong Liu, Guotai Wang, Xiaofan Zhang, Shaoting Zhang
Deep neural networks usually require accurate and a large number of annotations to achieve outstanding performance in medical image segmentation.
no code implementations • 2 Mar 2021 • Jumei Yao, Weiwei Zhu, Richard N. Manchester, William A. Coles, Di Li, Na Wang, Michael Kramer, Daniel R. Stinebring, Yi Feng, Wenming Yan, Chenchen Miao, Mao Yuan, Pei Wang, Jiguang Lu
Observations have shown a strong tendency for alignment of the pulsar space velocity and spin axis in young pulsars but, up to now, these comparisons have been restricted to two dimensions.
Astrophysics of Galaxies
no code implementations • 14 Jan 2019 • Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
In this paper, we present the first large-scale churn analysis for mobile games that supports both micro-level churn prediction and macro-level churn ranking.
no code implementations • 14 Dec 2018 • Xin Yang, Na Wang, Yi Wang, Xu Wang, Reza Nezafat, Dong Ni, Pheng-Ann Heng
In this paper, we propose a fully-automated framework to segment left atrium in gadolinium-enhanced MR volumes.
no code implementations • 20 Aug 2018 • Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
To evaluate the performance of our solution, we collect real-world data from the Samsung Game Launcher platform that includes tens of thousands of games and hundreds of millions of user-app interactions.