Wenyu Xing
Orcid: 0000-0001-7170-9488
According to our database1,
Wenyu Xing authored at least 23 papers
between 2019 and 2026.
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Bibliography
2026
A segmentation knowledge-based global-local attention network for tumor classification in breast ultrasound images.
Pattern Recognit., 2026
UltraSAM: A foundational medical ultrasound segmentation model with limited training data.
Expert Syst. Appl., 2026
SAN-Wavelet cycleGAN for anatomical structure reinforcement and tissue detail preservation in abdominal CT synthesis.
Comput. Medical Imaging Graph., 2026
Intelligent Diagnosis of Chronic Obstructive Pulmonary Disease by Integrating CT Segmentation and Multi-Dimensional Representations.
Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026
2025
IEEE J. Biomed. Health Informatics, April, 2025
IEEE Trans. Biomed. Eng., March, 2025
Neurocomputing, 2025
A prior segmentation knowledge enhanced deep learning system for the classification of tumors in ultrasound image.
Eng. Appl. Artif. Intell., 2025
2024
Spectrum-Domain Plane Wave Imaging: A Novel Approach to Studying Multilayered Medium.
IEEE Trans. Ind. Informatics, October, 2024
A New Classification Method for Diagnosing COVID-19 Pneumonia via Joint Parallel Deformable MLP Modules and Bi-LSTM With Multi-Source Generated Data of CXR Images.
IEEE Trans. Consumer Electron., February, 2024
A transformer-guided cross-modality adaptive feature fusion framework for esophageal gross tumor volume segmentation.
Comput. Methods Programs Biomed., 2024
FFT-Mamba-guided Lung Parenchyma Segmentation and Radiomics Representation for COPD Staging Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
2023
A hybrid enhanced attention transformer network for medical ultrasound image segmentation.
Biomed. Signal Process. Control., September, 2023
A new classification method for diagnosing COVID-19 pneumonia based on joint CNN features of chest X-ray images and parallel pyramid MLP-mixer module.
Neural Comput. Appl., August, 2023
Key-point based automated diagnosis for alveolar dehiscence in mandibular incisors using convolutional neural network.
Biomed. Signal Process. Control., August, 2023
IEEE Trans. Computational Imaging, 2023
An end-to-end framework for diagnosing COVID-19 pneumonia via Parallel Recursive MLP module and Bi-LTSM correlation.
Proceedings of the Medical Imaging with Deep Learning, 2023
IMT-LUSS: A Novel Inception Meets Transformer-based Lung Ultrasound Scoring Model in Pneumonia.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Early severity prediction of BPD for premature infants from chest X-ray images using deep learning: A study at the 28th day of oxygen inhalation.
Comput. Methods Programs Biomed., 2022
CM-SegNet: A deep learning-based automatic segmentation approach for medical images by combining convolution and multilayer perceptron.
Comput. Biol. Medicine, 2022
Automated lung ultrasound scoring for evaluation of coronavirus disease 2019 pneumonia using two-stage cascaded deep learning model.
Biomed. Signal Process. Control., 2022
Intelligent classification of B-line and white lung from COVID-19 pneumonia ultrasound images using radiomics analysis.
Proceedings of the ICBBT 2022: 14th International Conference on Bioinformatics and Biomedical Technology, Xi'an, China, May 27, 2022
2019
Identification of Extremely Similar Animal Fibers Based on Matched Filter and HOG-SVM.
IEEE Access, 2019