Meiyun Wang - RankMe

62 papers B 1Journal 44Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Early and Prediagnostic Detection of Pancreatic Cancer from Computed Tomography. CoRR Wenxuan Li, Pedro R. A. S. Bassi, Lizhou Wu, Xinze Zhou, Yuxuan Zhao, Qi Chen, Szymon Plotka, Tianyu Lin, Zheren Zhu, Marisa Martin, Justin Caskey, Shanshan Jiang, Xiaoxi Chen, Jaroslaw B. Cwikla, Artur Sankowski, Yaping Wu, Sergio Decherchi, Andrea Cavalli, Chandana Lall, Cristian Tomasetti, Yaxing Guo, Xuan Yu, Yuqing Cai, Hualin Qiao, Jie Bao, Chenhan Hu, Ximing Wang, Arkadiusz Sitek, Kai Ding, Heng Li, Meiyun Wang, Dexin Yu, Guang Zhang, Yang Yang, Kang Wang, Alan L. Yuille, Zongwei Zhou
2026	J	`jnl`	Generalizable AI-driven cross-domain breast cancer diagnosis based on mammograms by solving Fourier transformation-based jigsaw puzzles. Neurocomputing Wanfang Xie, Zhenyu Liu, Xu Fu, Meiyun Wang, Xiaoping Yin, Jiangang Liu
2026	J	`jnl`	Prediction of lymph node metastasis in non-small cell lung cancer and its correlation with Ki-67 expression: a comparative study between intravoxel incoherent motion imaging and BMC Medical Imaging Wei Wei, Qianqian Chen, Nan Meng, Xinyu Wang, Yue Liu, Jingwen Zhang, Yaping Wu, Jiayin Pan, Zhun Huang, Yang Yang, Zhe Wang, Qiuyu Liu, Fangfang Fu, Meiyun Wang
2025	—	`conf`	AM-UNet: Attention Mamba U-Net for Medical Image Segmentation. CCBR Meiyun Wang, Changlu Guo, Yugen Yi
2025	J	`jnl`	AdaRec: Adaptive Recommendation with LLMs via Narrative Profiling and Dual-Channel Reasoning. CoRR Meiyun Wang, Charin Polpanumas
2025	J	`jnl`	Automatic Brain Segmentation for PET/MR Dual-Modal Images Through a Cross-Fusion Mechanism. IEEE J. Biomed. Health Informatics Hongyan Tang, Zhenxing Huang, Wenbo Li, Yaping Wu, Jianmin Yuan, Yang Yang, Yan Zhang, Jing Qin, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu
2025	J	`jnl`	CausalEnhance: knowledge-enhanced pre-training for causality identification and extraction. Knowl. Based Syst. Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji
2025	J	`jnl`	DIFLF: A domain-invariant features learning framework for single-source domain generalization in mammogram classification. Comput. Methods Programs Biomed. Wanfang Xie, Zhenyu Liu, Litao Zhao, Meiyun Wang, Jie Tian, Jiangang Liu
2025	J	`jnl`	Disentangle and Then Fuse: A Cross-Modal Network for Synthesizing Gadolinium-Enhanced Brain MR Images. IEEE Trans. Circuits Syst. Video Technol. Zeng-Yang Che, Zheng Zhang, Yaping Wu, Meiyun Wang
2025	—	`conf`	Dynamic ¹⁸F-FDG-PET-Based Time-Series Analysis for Differentiating Benign and Malignant Pulmonary Lesions. ISAIMS Zhiheng Yao, Yubo Wang, Yaping Wu, Meiyun Wang, Ying Liang, Tao Sun
2025	J	`jnl`	IDH Genotyping and Glioma Prognosis Research Based on an Interpretable Transformer Learning Framework. CAAI Trans. Intell. Technol. Xuan Yu, Yaping Wu, Yan Bai, Nan Meng, Shuting Jin, Qingxia Wu, Lijuan Chen, Ningli Wang, Xiaosheng Song, Guofeng Shen, Meiyun Wang
2025	J	`jnl`	Individualized functional connectivity markers for motor and mood symptoms of Parkinson's disease. NeuroImage Louisa Dahmani, Yan Bai, Wei Zhang, Jianxun Ren, Shiyi Li, Qingyu Hu, Xiaoxuan Fu, Jianjun Ma, Wei Wei, Meiyun Wang, Hesheng Liu, Danhong Wang
2025	—	`conf`	Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge. NAACL (Findings) Meiyun Wang, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	MR-guided graph learning of 18F-florbetapir PET enables accurate and interpretable Alzheimer's disease staging. NeuroImage Xinyi Chen, Lijuan Chen, Weiheng Yao, Qiankun Zuo, Ye Li, Dong Liang, Shuqiang Wang, Meiyun Wang, Tao Sun
2025	J	`jnl`	Prompt-Agent-Driven Integration of Foundation Model Priors for Low-Count PET Reconstruction. IEEE Trans. Medical Imaging Xingyu Xie, Wenjie Zhao, Mu Nan, Zheng Zhang, Yaping Wu, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu
2024	J	`jnl`	Accurate Whole-Brain Image Enhancement for Low-Dose Integrated PET/MR Imaging Through Spatial Brain Transformation. IEEE J. Biomed. Health Informatics Zhenxing Huang, Wenbo Li, Yaping Wu, Lin Yang, Yun Dong, Yongfeng Yang, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu
2024	J	`jnl`	Interactive DualChecker for Mitigating Hallucinations in Distilling Large Language Models. CoRR Meiyun Wang, Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi
2024	—	`conf`	LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction. ACL (Findings) Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji
2024	J	`jnl`	LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction. CoRR Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji
2024	J	`jnl`	Non-Invasive Quantification of the Brain [¹⁸F]FDG-PET Using Inferred Blood Input Function Learned From Total-Body Data With Physical Constraint. IEEE Trans. Medical Imaging 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
2024	J	`jnl`	Performance of node reporting and data system (node-RADS): a preliminary study in cervical cancer. BMC Medical Imaging Qingxia Wu, Jianghua Lou, Jinjin Liu, Linxiao Dong, Yaping Wu, Xuan Yu, Meiyun Wang
2024	J	`jnl`	Predictive value of metabolic parameters and apparent diffusion coefficient derived from 18F-FDG PET/MR in patients with non-small cell lung cancer. BMC Medical Imaging Han Jiang, Ziqiang Li, Nan Meng, Yu Luo, Pengyang Feng, Fangfang Fu, Yang Yang, Jianmin Yuan, Zhe Wang, Meiyun Wang
2024	J	`jnl`	Quad-Net: Quad-Domain Network for CT Metal Artifact Reduction. IEEE Trans. Medical Imaging Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan
2024	J	`jnl`	Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network. Comput. Biol. Medicine Biao Qu, Jialue Zhang, Taishan Kang, Jianzhong Lin, Meijin Lin, Huajun She, Qingxia Wu, Meiyun Wang, Gaofeng Zheng
2024	—	`conf`	SL-SFGR: Segmentation Learning Coupling Spatial-Frequency Structure Information Enhancement for Guiding Registration. BIBM Fan Gao, Yuanbo He, Shuai Li, Aimin Hao, Meiyun Wang, Desen Cao
2023	J	`jnl`	A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement. IEEE J. Biomed. Health Informatics 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
2023	—	`conf`	Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis. MLMI@MICCAI (2) Qingxia Wu, Hongna Tan, Zhi Qiao, Pei Dong, Dinggang Shen, Meiyun Wang, Zhong Xue
2023	—	`conf`	Lightweight Vertebrae Segmentation Network based on Convolutional Multilayer Perceptron and Structural Re-parameterization. ISAIMS Songsen Cheng, Jie Dong, Meiyun Wang, Yusong Lin
2023	J	`jnl`	Universal multi-factor feature selection method for radiomics-based brain tumor classification. Comput. Biol. Medicine Longfei Li, Meiyun Wang, Xiaoming Jiang, Yusong Lin
2022	J	`jnl`	Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status. BMC Medical Imaging 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
2022	J	`jnl`	FD-MAR: Fourier Dual-domain Network for CT Metal Artifact Reduction. CoRR Zilong Li, Qi Gao, Yaping Wu, Chuang Niu, Junping Zhang, Meiyun Wang, Ge Wang, Hongming Shan
2022	J	`jnl`	High Temporal Resolution Total-Body Dynamic PET Imaging Based on Pixel-Level Time-Activity Curve Correction. IEEE Trans. Biomed. Eng. Zixiang Chen, Yaping Wu, Na Zhang, Tao Sun, Yu Shen, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu
2022	B	`conf`	The CRECIL Corpus: a New Dataset for Extraction of Relations between Characters in Chinese Multi-party Dialogues. LREC Yuru Jiang, Yang Xu, Yuhang Zhan, Weikai He, Yilin Wang, Zixuan Xi, Meiyun Wang, Xinyu Li, Yu Li, Yanchao Yu
2022	J	`jnl`	Two-stage hybrid network for segmentation of COVID-19 pneumonia lesions in CT images: a multicenter study. Medical Biol. Eng. Comput. 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
2022	—	`conf`	Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. MLMI@MICCAI Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue, Meiyun Wang
2021	J	`jnl`	A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients With Underlying Health Conditions: A Multicenter Study. IEEE J. Biomed. Health Informatics 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
2021	J	`jnl`	Co-activation patterns across multiple tasks reveal robust anti-correlated functional networks. NeuroImage Meiling Li, Louisa Dahmani, Danhong Wang, Jianxun Ren, Sophia Stöcklein, Yuanxiang Lin, Guoming Luan, Zhiqiang Zhang, Guangming Lu, Fanziska Galiè, Ying Han, Alvaro Pascual-Leone, Meiyun Wang, Michael D. Fox, Hesheng Liu
2021	J	`jnl`	Mix Contrast for COVID-19 Mild-to-Critical Prediction. IEEE Trans. Biomed. Eng. Yongbei Zhu, Shuo Wang, Siwen Wang, Qingxia Wu, Liusu Wang, Hongjun Li, Meiyun Wang, Meng Niu, Yunfei Zha, Jie Tian
2020	J	`jnl`	A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study. IEEE J. Biomed. Health Informatics Lingwei Meng, Di Dong, Liang Li, Meng Niu, Yan Bai, Meiyun Wang, Xiaoming Qiu, Yunfei Zha, Jie Tian
2020	J	`jnl`	AIDE: Annotation-efficient deep learning for automatic medical image segmentation. CoRR 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
2020	J	`jnl`	Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics. IEEE J. Biomed. Health Informatics Cong Li, Di Dong, Liang Li, Wei Gong, Xiaohu Li, Yan Bai, Meiyun Wang, Zhenhua Hu, Yunfei Zha, Jie Tian
2020	J	`jnl`	Lymph-vascular space invasion prediction in cervical cancer: Exploring radiomics and deep learning multilevel features of tumor and peritumor tissue on multiparametric MRI. Biomed. Signal Process. Control. Wenqing Hua, Taohui Xiao, Xiran Jiang, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2019	—	`conf`	Activation of Sympathetic Nervous System as a Biomarker for Deep Meditation. NER Menglin Guo, Xiaoli Guo, Meiyun Wang, Xu Wang, Ting Xue, Zhuo Wang, Han Li, Tianjiao Xu, Bin He, Donghong Cui, Shanbao Tong
2019	J	`jnl`	Automatic glioma segmentation based on adaptive superpixel. BMC Medical Imaging Yaping Wu, Zhe Zhao, Weiguo Wu, Yusong Lin, Meiyun Wang
2019	—	`conf`	CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. MICCAI (3) Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2019	J	`jnl`	CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. CoRR Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2019	—	`conf`	Dynamic Alterations of EEG Oscillations and Networks from Resting to Deep Meditation. CISP-BMEI Meiyun Wang, Shanbao Tong, Xiaoli Guo, Menglin Guo, Xu Wang, Ting Xue, Zhuo Wang, Han Li, Tianjiao Xu, Bin He, Donghong Cui
2019	J	`jnl`	Effect of security investment strategy on the business value of managed security service providers. Electron. Commer. Res. Appl. Nan Feng, Meiyun Wang, Minqiang Li, Dahui Li
2019	J	`jnl`	Four-Sequence Maximum Entropy Discrimination Algorithm for Glioma Grading. IEEE Access Yaping Wu, Huihui Hao, Jie Li, Weiguo Wu, Yusong Lin, Meiyun Wang
2019	J	`jnl`	Identification of Cognitive Dysfunction in Patients with T2DM Using Whole Brain Functional Connectivity. Genom. Proteom. Bioinform. Zhenyu Liu, Jiangang Liu, Huijuan Yuan, Taiyuan Liu, Xingwei Cui, Zhenchao Tang, Yang Du, Meiyun Wang, Yusong Lin, Jie Tian
2019	—	`conf`	Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. MICCAI (2) Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2019	J	`jnl`	Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. CoRR Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2019	—	`conf`	Radiomics analysis on T2-MR image to predict lymphovascular space invasion in cervical cancer. Computer-Aided Diagnosis Shou Wang, Xi Chen, Zhenyu Liu, Qingxia Wu, Yongbei Zhu, Meiyun Wang, Jie Tian
2019	J	`jnl`	Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach. CoRR 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
2019	J	`jnl`	Validation of a deep learning mammography model in a population with low screening rates. CoRR Kevin Wu, Eric Wu, Yaping Wu, Hongna Tan, Greg Sorensen, Meiyun Wang, Bill Lotter
2019	—	`conf`	X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies. MICCAI (3) Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang
2019	J	`jnl`	X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-range Dependencies. CoRR Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang
2018	J	`jnl`	A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification. IEEE Trans. Biomed. Eng. Yongjin Zhou, Jingxu Xu, Qiegen Liu, Cheng Li, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang
2018	J	`jnl`	Grading glioma by radiomics with feature selection based on mutual information. J. Ambient Intell. Humaniz. Comput. Yaping Wu, Bo Liu, Weiguo Wu, Yusong Lin, Cong Yang, Meiyun Wang
2018	—	`conf`	Unsupervised Deep Learning Features for Lung Cancer Overall Survival Analysis. EMBC Shuo Wang, Zhenyu Liu, Xi Chen, Yongbei Zhu, Hongyu Zhou, Zhenchao Tang, Wei Wei, Di Dong, Meiyun Wang, Jie Tian
2017	—	`conf`	A precise grading method for glioma based on radiomics. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Yusong Lin, Yaping Wu, Haibo Pang, Weiguo Wu, Taiyuan Liu, Meiyun Wang
2017	—	`conf`	Glioma grading based on gentle-adaboost algorithm and radiomics. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Haibo Pang, Chengming Liu, Zhe Zhao, Yaping Wu, Meiyun Wang, Yusong Lin