A precise grading method for glioma based on radiomics. - Yusong Lin; Yaping Wu; Haibo Pang; Yaping Wu; Weiguo Wu; Taiyuan Liu; Meiyun Wang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Glioma grading based on gentle-adaboost algorithm and radiomics. - Haibo Pang; Chengming Liu; Zhe Zhao; Yaping Wu; Meiyun Wang; Yusong Lin (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis. - Shuo Wang; Zhenyu Liu; Xi Chen 102; Yongbei Zhu; Hongyu Zhou; Zhenchao Tang; Wei Wei 022; Di Dong; Meiyun Wang; Jie Tian 001 (EMBC, 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)

A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification. - Yongjin Zhou 002; Jingxu Xu; Qiegen Liu; Cheng Li 008; Zaiyi Liu; Meiyun Wang; Hairong Zheng; Shanshan Wang 002 (IEEE Trans. Biomed. Eng., 2018)

Dynamic Alterations of EEG Oscillations and Networks from Resting to Deep Meditation. - Meiyun Wang; Shanbao Tong; Xiaoli Guo; Menglin Guo; Xu Wang 034; Ting Xue; Zhuo Wang; Han Li; Tianjiao Xu; Bin He 002; Donghong Cui (CISP-BMEI, 2019)

Radiomics analysis on T2-MR image to predict lymphovascular space invasion in cervical cancer. - Shou Wang; Xi Chen 102; Zhenyu Liu; Qingxia Wu; Yongbei Zhu; Meiyun Wang; Jie Tian 001 (Computer-Aided Diagnosis, 2019)

Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. - Cheng Li 008; Hui Sun; Zaiyi Liu; Meiyun Wang; Hairong Zheng; Shanshan Wang 002 (MICCAI (2), 2019)

X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies. - Kehan Qi; Hao Yang 026; Cheng Li 008; Zaiyi Liu; Meiyun Wang; Qiegen Liu; Shanshan Wang 002 (MICCAI (3), 2019)

CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. - Hao Yang 026; Weijian Huang; Kehan Qi; Cheng Li 008; Xinfeng Liu; Meiyun Wang; Hairong Zheng; Shanshan Wang 002 (MICCAI (3), 2019)

Activation of Sympathetic Nervous System as a Biomarker for Deep Meditation. - Menglin Guo; Xiaoli Guo; Meiyun Wang; Xu Wang 034; Ting Xue; Zhuo Wang; Han Li; Tianjiao Xu; Bin He 002; Donghong Cui; Shanbao Tong (NER, 2019)

Four-Sequence Maximum Entropy Discrimination Algorithm for Glioma Grading. - Yaping Wu; Huihui Hao; Jie Li 002; Weiguo Wu; Yusong Lin; Meiyun Wang (IEEE Access, 2019)

Automatic glioma segmentation based on adaptive superpixel. - Yaping Wu; Zhe Zhao; Weiguo Wu; Yusong Lin; Meiyun Wang (BMC Medical Imaging, 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)

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; et al. (CoRR, 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)

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 001 (Genom. Proteom. Bioinform., 2019)

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 002 (Biomed. Signal Process. Control., 2020)

AIDE: Annotation-efficient deep learning for automatic medical image segmentation. - Cheng Li 008; Rongpin Wang; Zaiyi Liu; Meiyun Wang; Hongna Tan; Yaping Wu; Xinfeng Liu; Hui Sun; Rui Yang; Xin Liu 053; Ismail Ben Ayed; Hairong Zheng; et al. (CoRR, 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 001 (IEEE J. Biomed. Health Informatics, 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 001 (IEEE J. Biomed. Health Informatics, 2020)

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; et al. (NeuroImage, 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 001 (IEEE Trans. Biomed. Eng., 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; et al. (IEEE J. Biomed. Health Informatics, 2021)

The CRECIL Corpus: a New Dataset for Extraction of Relations between Characters in Chinese Multi-party Dialogues. - Yuru Jiang; Yang Xu 002; Yuhang Zhan; Weikai He; Yilin Wang; Zixuan Xi; Meiyun Wang; Xinyu Li 012; Yu Li; Yanchao Yu (LREC, 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 (MLMI@MICCAI, 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; et al. (BMC Medical Imaging, 2022)

FD-MAR: Fourier Dual-domain Network for CT Metal Artifact Reduction. - Zilong Li 001; Qi Gao; Yaping Wu; Chuang Niu; Junping Zhang; Meiyun Wang; Ge Wang 001; Hongming Shan (CoRR, 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; et al. (Medical Biol. Eng. Comput., 2022)

High Temporal Resolution Total-Body Dynamic PET Imaging Based on Pixel-Level Time-Activity Curve Correction. - Zixiang Chen; Yaping Wu; Na Zhang 001; Tao Sun 025; Yu Shen; Hairong Zheng; Dong Liang 001; Meiyun Wang; Zhanli Hu (IEEE Trans. Biomed. Eng., 2022)

Lightweight Vertebrae Segmentation Network based on Convolutional Multilayer Perceptron and Structural Re-parameterization. - Songsen Cheng; Jie Dong; Meiyun Wang; Yusong Lin (ISAIMS, 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 (MLMI@MICCAI (2), 2023)

A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement. - Minghan Fu; Meiyun Wang; Yaping Wu; Na Zhang 001; Yongfeng Yang; Haining Wang; Yun Zhou; Yue Shang; Fang-Xiang Wu; Hairong Zheng; Dong Liang 001; Zhanli Hu (IEEE J. Biomed. Health Informatics, 2023)

Universal multi-factor feature selection method for radiomics-based brain tumor classification. - Longfei Li; Meiyun Wang; Xiaoming Jiang; Yusong Lin (Comput. Biol. Medicine, 2023)

LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction. - Meiyun Wang; Kiyoshi Izumi; Hiroki Sakaji (ACL (Findings), 2024)

SL-SFGR: Segmentation Learning Coupling Spatial-Frequency Structure Information Enhancement for Guiding Registration. - Fan Gao; Yuanbo He; Shuai Li 001; Aimin Hao; Meiyun Wang; Desen Cao (BIBM, 2024)

Interactive DualChecker for Mitigating Hallucinations in Distilling Large Language Models. - Meiyun Wang; Masahiro Suzuki 004; Hiroki Sakaji; Kiyoshi Izumi (CoRR, 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, 2024)

Quad-Net: Quad-Domain Network for CT Metal Artifact Reduction. - Zilong Li 001; Qi Gao; Yaping Wu; Chuang Niu; Junping Zhang; Meiyun Wang; Ge Wang 001; Hongming Shan (IEEE Trans. Medical Imaging, 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 001; Hairong Zheng; Yongfeng Yang; Shanshan Wang 002; Meiyun Wang; et al. (IEEE Trans. Medical Imaging, 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 001; Meiyun Wang; Zhanli Hu (IEEE J. Biomed. Health Informatics, 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, 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, 2024)

Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge. - Meiyun Wang; Takeshi Kojima; Yusuke Iwasawa; Yutaka Matsuo (NAACL (Findings), 2025)

DIFLF: A domain-invariant features learning framework for single-source domain generalization in mammogram classification. - Wanfang Xie; Zhenyu Liu; Litao Zhao; Meiyun Wang; Jie Tian 001; Jiangang Liu (Comput. Methods Programs Biomed., 2025)

Automatic Brain Segmentation for PET/MR Dual-Modal Images Through a Cross-Fusion Mechanism. - Hongyan Tang; Zhenxing Huang; Wenbo Li; Yaping Wu; Jianmin Yuan; Yang Yang; Yan Zhang; Jing Qin 001; Hairong Zheng; Dong Liang 001; Meiyun Wang; Zhanli Hu (IEEE J. Biomed. Health Informatics, 2025)

Disentangle and Then Fuse: A Cross-Modal Network for Synthesizing Gadolinium-Enhanced Brain MR Images. - Zeng-Yang Che; Zheng Zhang 006; Yaping Wu; Meiyun Wang (IEEE Trans. Circuits Syst. Video Technol., 2025)