Xi Wang

According to our database, Xi Wang authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Diffusion Containment in Complex Networks Through Collective Influence of Connections.

Yang Liu, Guangbo Liang, Xi Wang, Peican Zhu, Zhen Wang

IEEE Trans. Inf. Forensics Secur., 2024

2023

Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images.

Xi Wang, Fangyao Tang, Hao Chen, Carol Y. Cheung, Pheng-Ann Heng

Medical Image Anal., 2023

Semi-supervised Class Imbalanced Deep Learning for Cardiac MRI Segmentation.

Yuchen Yuan, Xi Wang, Xikai Yang, Ruijiang Li, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

PrEF: Percolation-based Evolutionary Framework for the diffusion-source-localization problem in large networks.

Yang Liu, Xiaoqi Wang, Xi Wang, Zhen Wang, Jürgen Kurths

CoRR, 2022

2021

Dual-path network with synergistic grouping loss and evidence driven risk stratification for whole slide cervical image analysis.

Huangjing Lin, Hao Chen, Xi Wang, Qiong Wang, Liansheng Wang, Pheng-Ann Heng

Medical Image Anal., 2021

Deep virtual adversarial self-training with consistency regularization for semi-supervised medical image classification.

Xi Wang, Hao Chen, Huiling Xiang, Huangjing Lin, Xi Lin, Pheng-Ann Heng

Medical Image Anal., 2021

Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs.

Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Pheng-Ann Heng

CoRR, 2021

2020

Deep Mining External Imperfect Data for Chest X-Ray Disease Screening.

Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng

IEEE Trans. Medical Imaging, 2020

UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification.

Xi Wang, Fangyao Tang, Hao Chen, Luyang Luo, Ziqi Tang, An-ran Ran, Carol Y. Cheung, Pheng-Ann Heng

IEEE J. Biomed. Health Informatics, 2020

Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.

Xi Wang, Hao Chen, Caixia Gan, Huangjing Lin, Qi Dou, Efstratios Tsougenis, Qitao Huang, Muyan Cai, Pheng-Ann Heng

IEEE Trans. Cybern., 2020

Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning.

Xi Wang, Hao Chen, An-ran Ran, Luyang Luo, Poemen P. Chan, Clement C. Tham, Robert T. Chang, Suria S. Mannil, Carol Y. Cheung, Pheng-Ann Heng

Medical Image Anal., 2020

2019

Framework of Evolutionary Algorithm for Investigation of Influential Nodes in Complex Networks.

Yang Liu, Xi Wang, Jürgen Kurths

IEEE Trans. Evol. Comput., 2019

Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening.

Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis.

Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2016

3D Fully Convolutional Networks for Intervertebral Disc Localization and Segmentation.

Hao Chen, Qi Dou, Xi Wang, Jing Qin, Jack Chun Yiu Cheng, Pheng-Ann Heng

Proceedings of the Medical Imaging and Augmented Reality - 7th International Conference, 2016

Automated mitosis detection with deep regression networks.

Hao Chen, Xi Wang, Pheng-Ann Heng

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks.

Hao Chen, Qi Dou, Xi Wang, Jing Qin, Pheng-Ann Heng

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016