Wenqing Sun
Orcid: 0000-0002-2120-7591
According to our database1,
Wenqing Sun
authored at least 25 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Vis. Comput., September, 2024
2023
Integration of DInSAR-PS-Stacking and SBAS-PS-InSAR Methods to Monitor Mining-Related Surface Subsidence.
Remote. Sens., 2023
2019
Fast and fully-automated detection and segmentation of pulmonary nodules in thoracic CT scans using deep convolutional neural networks.
Comput. Medical Imaging Graph., 2019
Adaptive Bandwidth Fourier Decomposition Method for Multi-Component Signal Processing.
IEEE Access, 2019
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019
2018
A new near-term breast cancer risk prediction scheme based on the quantitative analysis of ipsilateral view mammograms.
Comput. Methods Programs Biomed., 2018
2017
Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data.
Comput. Medical Imaging Graph., 2017
Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis.
Comput. Biol. Medicine, 2017
Bidirectional LSTM for ionospheric vertical Total Electron Content (TEC) forecasting.
Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017
Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017
Balance the nodule shape and surroundings: a new multichannel image based convolutional neural network scheme on lung nodule diagnosis.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Automatic lung nodule graph cuts segmentation with deep learning false positive reduction.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
A fully-automated multiscale kernel graph cuts based particle localization scheme for temporal focusing two-photon microscopy.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
Forecasting of ionospheric vertical total electron content (TEC) using LSTM networks.
Proceedings of the 2017 International Conference on Machine Learning and Cybernetics, 2017
2016
Computerized breast cancer analysis system using three stage semi-supervised learning method.
Comput. Methods Programs Biomed., 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016
A novel Kalman filter based video image processing scheme for two-photon fluorescence microscopy.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
Proceedings of the Breast Imaging, 2016
Proceedings of the Breast Imaging, 2016
2015
A new breast cancer risk analysis approach using features extracted from multiple sub-regions on bilateral mammograms.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015
2014
Prediction of near-term risk of developing breast cancer using computerized features from bilateral mammograms.
Comput. Medical Imaging Graph., 2014
Using undiagnosed data to enhance computerized breast cancer analysis with a three stage data labeling method.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
2013
IEEE Trans. Medical Imaging, September, 2013
2012
Research on Pareto Improvement of Two-Stage Supply Chain Based on Return and Penalty Policy.
J. Softw., 2012