Weili Shi
Changchun University of Science and Technology(CN)Zhongshan Hospital(CN)
Publications by Year
Research Areas
Medical Image Segmentation Techniques, Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Advanced Neural Network Applications, Robotics and Sensor-Based Localization
Most-Cited Works
- → A Bridge Neural Network-Based Optical-SAR Image Joint Intelligent Interpretation Framework(2021)46 cited
- → The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion(2021)43 cited
- → MS-TCNet: An effective Transformer–CNN combined network using multi-scale feature learning for 3D medical image segmentation(2024)41 cited
- → A visualization method based on the Grad-CAM for medical image segmentation model(2021)38 cited
- → Low-Dose CT Image Denoising with Improving WGAN and Hybrid Loss Function(2021)38 cited
- → Research of automatic medical image segmentation algorithm based on Tsallis entropy and improved PCNN(2009)34 cited
- → A Novel Medical Image Denoising Method Based on Conditional Generative Adversarial Network(2021)31 cited
- → Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation(2022)20 cited
- → A deep learning method for classification of chest X-ray images(2021)18 cited
- → Application of the CLAHE Algorithm Based on Optimized Bilinear Interpolation in Near Infrared Vein Image Enhancement(2018)12 cited