Meiyun Wang
Orcid: 0000-0002-7163-2617
According to our database1,
Meiyun Wang
authored at least 42 papers
between 2017 and 2024.
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Bibliography
2024
Performance of node reporting and data system (node-RADS): a preliminary study in cervical cancer.
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.
BMC Medical Imaging, December, 2024
Accurate Whole-Brain Image Enhancement for Low-Dose Integrated PET/MR Imaging Through Spatial Brain Transformation.
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.
IEEE Trans. Medical Imaging, July, 2024
IEEE Trans. Medical Imaging, May, 2024
Radial magnetic resonance image reconstruction with a deep unrolled projected fast iterative soft-thresholding network.
Comput. Biol. Medicine, January, 2024
Interactive DualChecker for Mitigating Hallucinations in Distilling Large Language Models.
CoRR, 2024
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Universal multi-factor feature selection method for radiomics-based brain tumor classification.
Comput. Biol. Medicine, September, 2023
IEEE J. Biomed. Health Informatics, June, 2023
Cross-view Contrastive Mutual Learning Across Masked Autoencoders for Mammography Diagnosis.
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.
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.
IEEE Trans. Biomed. Eng., 2022
Two-stage hybrid network for segmentation of COVID-19 pneumonia lesions in CT images: a multicenter study.
Medical Biol. Eng. Comput., 2022
Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status.
BMC Medical Imaging, 2022
Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification.
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.
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.
IEEE J. Biomed. Health Informatics, 2021
IEEE Trans. Biomed. Eng., 2021
Co-activation patterns across multiple tasks reveal robust anti-correlated functional networks.
NeuroImage, 2021
2020
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, 2020
IEEE J. Biomed. Health Informatics, 2020
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.
Biomed. Signal Process. Control., 2020
2019
Identification of Cognitive Dysfunction in Patients with T2DM Using Whole Brain Functional Connectivity.
Genom. Proteom. Bioinform., 2019
Effect of security investment strategy on the business value of managed security service providers.
Electron. Commer. Res. Appl., 2019
Robust breast cancer detection in mammography and digital breast tomosynthesis using annotation-efficient deep learning approach.
CoRR, 2019
Validation of a deep learning mammography model in a population with low screening rates.
CoRR, 2019
BMC Medical Imaging, 2019
IEEE Access, 2019
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.
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.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
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.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
Dynamic Alterations of EEG Oscillations and Networks from Resting to Deep Meditation.
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.
IEEE Trans. Biomed. Eng., 2018
J. Ambient Intell. Humaniz. Comput., 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Proceedings of the 2017 IEEE SmartWorld, 2017
Proceedings of the 2017 IEEE SmartWorld, 2017