Meiyun Wang

According to our database, Meiyun Wang authored at least 42 papers between 2017 and 2024.

Collaborative distances:

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

2024

Performance of node reporting and data system (node-RADS): a preliminary study in cervical cancer.

Qingxia Wu, Jianghua Lou, Jinjin Liu, Linxiao Dong, Qingxia Wu, Yaping Wu, Xuan Yu, Meiyun Wang

BMC Medical Imaging, December, 2024

Predictive value of metabolic parameters and apparent diffusion coefficient derived from 18F-FDG PET/MR in patients with non-small cell lung cancer.

Han Jiang, Ziqiang Li, Nan Meng, Yu Luo, Pengyang Feng, Fangfang Fu, Yang Yang, Jianmin Yuan, Zhe Wang, Meiyun Wang

BMC Medical Imaging, December, 2024

Accurate Whole-Brain Image Enhancement for Low-Dose Integrated PET/MR Imaging Through Spatial Brain Transformation.

Zhenxing Huang, Wenbo Li, Yaping Wu, Lin Yang, Yun Dong, Yongfeng Yang, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu

IEEE J. Biomed. Health Informatics, September, 2024

Non-Invasive Quantification of the Brain [¹⁸F]FDG-PET Using Inferred Blood Input Function Learned From Total-Body Data With Physical Constraint.

Zhenguo Wang, Yaping Wu, Zeheng Xia, Xinyi Chen, Xiaochen Li, Yan Bai, Yun Zhou, Dong Liang, Hairong Zheng, Yongfeng Yang, Shanshan Wang, Meiyun Wang, Tao Sun

IEEE Trans. Medical Imaging, July, 2024

Quad-Net: Quad-Domain Network for CT Metal Artifact Reduction.

Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan

IEEE Trans. Medical Imaging, May, 2024

Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network.

Biao Qu, Jialue Zhang, Taishan Kang, Jianzhong Lin, Meijin Lin, Huajun She, Qingxia Wu, Meiyun Wang, Gaofeng Zheng

Comput. Biol. Medicine, January, 2024

Interactive DualChecker for Mitigating Hallucinations in Distilling Large Language Models.

Meiyun Wang, Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi

CoRR, 2024

LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction.

Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Universal multi-factor feature selection method for radiomics-based brain tumor classification.

Longfei Li, Meiyun Wang, Xiaoming Jiang, Yusong Lin

Comput. Biol. Medicine, September, 2023

A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement.

Minghan Fu, Meiyun Wang, Yaping Wu, Na Zhang, Yongfeng Yang, Haining Wang, Yun Zhou, Yue Shang, Fang-Xiang Wu, Hairong Zheng, Dong Liang, Zhanli Hu

IEEE J. Biomed. Health Informatics, June, 2023

Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis.

Qingxia Wu, Hongna Tan, Zhi Qiao, Pei Dong, Dinggang Shen, Meiyun Wang, Zhong Xue

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Lightweight Vertebrae Segmentation Network based on Convolutional Multilayer Perceptron and Structural Re-parameterization.

Songsen Cheng, Jie Dong, Meiyun Wang, Yusong Lin

Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023

2022

High Temporal Resolution Total-Body Dynamic PET Imaging Based on Pixel-Level Time-Activity Curve Correction.

Zixiang Chen, Yaping Wu, Na Zhang, Tao Sun, Yu Shen, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu

IEEE Trans. Biomed. Eng., 2022

Two-stage hybrid network for segmentation of COVID-19 pneumonia lesions in CT images: a multicenter study.

Yaxin Shang, Zechen Wei, Hui Hui, Xiaohu Li, Liang Li, Yongqiang Yu, Ligong Lu, Li Li, Hongjun Li, Qi Yang, Meiyun Wang, Meixiao Zhan, Wei Wang, Guanghao Zhang, Xiangjun Wu, Li Wang, Jie Liu, Jie Tian, Yunfei Zha

Medical Biol. Eng. Comput., 2022

FD-MAR: Fourier Dual-domain Network for CT Metal Artifact Reduction.

Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan

CoRR, 2022

Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status.

Huanhuan Wei, Zehua Shao, Jianqing Tai, Fangfang Fu, Chuanjian Lv, Zhiping Guo, Yaping Wu, Lijuan Chen, Yan Bai, Qingxia Wu, Xuan Yu, Xinling Mu, Fengmin Shao, Meiyun Wang

BMC Medical Imaging, 2022

Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification.

Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue, Meiyun Wang

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

The CRECIL Corpus: a New Dataset for Extraction of Relations between Characters in Chinese Multi-party Dialogues.

Yuru Jiang, Yang Xu, Yuhang Zhan, Weikai He, Yilin Wang, Zixuan Xi, Meiyun Wang, Xinyu Li, Yu Li, Yanchao Yu

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021

A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study.

Siwen Wang, Di Dong, Liang Li, Hailin Li, Yan Bai, Yahua Hu, Yuanyi Huang, Xiangrong Yu, Sibin Liu, Xiaoming Qiu, Ligong Lu, Meiyun Wang, Yunfei Zha, Jie Tian

IEEE J. Biomed. Health Informatics, 2021

Mix Contrast for COVID-19 Mild-to-Critical Prediction.

Yongbei Zhu, Shuo Wang, Siwen Wang, Qingxia Wu, Liusu Wang, Hongjun Li, Meiyun Wang, Meng Niu, Yunfei Zha, Jie Tian

IEEE Trans. Biomed. Eng., 2021

Co-activation patterns across multiple tasks reveal robust anti-correlated functional networks.

Meiling Li, Louisa Dahmani, Danhong Wang, Jianxun Ren, Sophia Stocklein, Yuanxiang Lin, Guoming Luan, Zhiqiang Zhang, Guangming Lu, Fanziska Galiè, Ying Han, Alvaro Pascual-Leone, Meiyun Wang, Michael D. Fox, Hesheng Liu

NeuroImage, 2021

2020

A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study.

Lingwei Meng, Di Dong, Liang Li, Meng Niu, Yan Bai, Meiyun Wang, Xiaoming Qiu, Yunfei Zha, Jie Tian

IEEE J. Biomed. Health Informatics, 2020

Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics.

Cong Li, Di Dong, Liang Li, Wei Gong, Xiaohu Li, Yan Bai, Meiyun Wang, Zhenhua Hu, Yunfei Zha, Jie Tian

IEEE J. Biomed. Health Informatics, 2020

AIDE: Annotation-efficient deep learning for automatic medical image segmentation.

Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, Xin Liu, Ismail Ben Ayed, Hairong Zheng, Hanchuan Peng, Shanshan Wang

CoRR, 2020

Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI.

Wenqing Hua, Taohui Xiao, Xiran Jiang, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang

Biomed. Signal Process. Control., 2020

2019

Identification of Cognitive Dysfunction in Patients with T2DM Using Whole Brain Functional Connectivity.

Zhenyu Liu, Jiangang Liu, Huijuan Yuan, Taiyuan Liu, Xingwei Cui, Zhenchao Tang, Yang Du, Meiyun Wang, Yusong Lin, Jie Tian

Genom. Proteom. Bioinform., 2019

Effect of security investment strategy on the business value of managed security service providers.

Nan Feng, Meiyun Wang, Minqiang Li, Dahui Li

Electron. Commer. Res. Appl., 2019

Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach.

William Lotter, Abdul Rahman Diab, Bryan Haslam, Jiye G. Kim, Giorgia Grisot, Eric Wu, Kevin Wu, Jorge Onieva Onieva, Jerrold L. Boxerman, Meiyun Wang, Mack Bandler, Gopal Vijayaraghavan, A. Gregory Sorensen

CoRR, 2019

Validation of a deep learning mammography model in a population with low screening rates.

Kevin Wu, Eric Wu, Yaping Wu, Hongna Tan, Greg Sorensen, Meiyun Wang, Bill Lotter

CoRR, 2019

Automatic glioma segmentation based on adaptive superpixel.

Yaping Wu, Zhe Zhao, Weiguo Wu, Yusong Lin, Meiyun Wang

BMC Medical Imaging, 2019

Four-Sequence Maximum Entropy Discrimination Algorithm for Glioma Grading.

Yaping Wu, Huihui Hao, Jie Li, Weiguo Wu, Yusong Lin, Meiyun Wang

IEEE Access, 2019

Activation of Sympathetic Nervous System as a Biomarker for Deep Meditation.

Menglin Guo, Xiaoli Guo, Meiyun Wang, Xu Wang, Ting Xue, Zhuo Wang, Han Li, Tianjiao Xu, Bin He, Donghong Cui, Shanbao Tong

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke.

Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang

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

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies.

Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang

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

Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation.

Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang

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

Radiomics analysis on T2-MR image to predict lymphovascular space invasion in cervical cancer.

Shou Wang, Xi Chen, Zhenyu Liu, Qingxia Wu, Yongbei Zhu, Meiyun Wang, Jie Tian

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Dynamic Alterations of EEG Oscillations and Networks from Resting to Deep Meditation.

Meiyun Wang, Shanbao Tong, Xiaoli Guo, Menglin Guo, Xu Wang, Ting Xue, Zhuo Wang, Han Li, Tianjiao Xu, Bin He, Donghong Cui

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018

A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification.

Yongjin Zhou, Jingxu Xu, Qiegen Liu, Cheng Li, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang

IEEE Trans. Biomed. Eng., 2018

Grading glioma by radiomics with feature selection based on mutual information.

Yaping Wu, Bo Liu, Weiguo Wu, Yusong Lin, Cong Yang, Meiyun Wang

J. Ambient Intell. Humaniz. Comput., 2018

Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis.

Shuo Wang, Zhenyu Liu, Xi Chen, Yongbei Zhu, Hongyu Zhou, Zhenchao Tang, Wei Wei, Di Dong, Meiyun Wang, Jie Tian

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Glioma grading based on gentle-adaboost algorithm and radiomics.

Haibo Pang, Chengming Liu, Zhe Zhao, Yaping Wu, Meiyun Wang, Yusong Lin

Proceedings of the 2017 IEEE SmartWorld, 2017

A precise grading method for glioma based on radiomics.

Yusong Lin, Yaping Wu, Haibo Pang, Yaping Wu, Weiguo Wu, Taiyuan Liu, Meiyun Wang

Proceedings of the 2017 IEEE SmartWorld, 2017