傅宇
发布者：李乐乐发布时间：2024-10-29浏览次数：360
- 1.
SSAL-Net: Semi-supervised Network integrating Self-supervised Adversarial Learning for Diagnosing Subtypes of Pulmonary Nodules，
Biomedical Signal Processing and Control，
2024，
SCI一区，
第一作者
- 2.
PKA2-Net: Prior Knowledge-based Active Attention Network for Accurate Pneumonia Diagnosis on Chest X-ray Image，
IEEE Journal of Biomedical and Health Informatics，
2023，
SCI一区TOP，
第一作者
- 3.
Qualitative Analysis of PD-L1 Expression in Non-Small-Cell Lung Cancer Based on Chest CT Radiomics，
Biomedical Signal Processing and Control，
2023，
SCI一区，
第一作者
- 4.
Semi-Supervised Adversarial Learning for Improving the Diagnosis of Pulmonary Nodules，
IEEE Journal of Biomedical and Health Informatics，
2023，
SCI一区TOP，
第一作者
- 5.
Harmony Loss for Unbalanced Prediction，
IEEE Journal of Biomedical and Health Informatics，
2022，
SCI一区TOP，
第一作者
- 6.
Densely Connected Attention Network for Diagnosing COVID-19 Based on Chest CT，
Computers in Biology and Medicine，
2021，
SCI一区，
第一作者
- 7.
Fusion of 3D Lung CT and Serum Biomarkers for Diagnosis of Multiple Pathological Types on Pulmonary Nodules，
Computer Methods and Programs in Biomedicine，
2021，
SCI一区，
第一作者
- 8.
Deep Model with Siamese Network for Viable and Necrotic Tumor Regions Assessment in Osteosarcoma，
Medical Physics，
2020，
SCI一区，
第一作者
- 9.
3D Multi-resolution Deep Learning Model for Diagnosis of Multiple Pathological Types on Pulmonary Nodules，
International Journal of Imaging Systems and Technology，
2021，
SCI二区，
第一作者
- 10.
Effective lung ventilation estimation based on 4D CT image registration and supervoxels，
Biomedical Signal Processing and Control，
2023，
SCI一区，
共同一作
- 11.
3D Multi-Resolution Attention Capsule Network for Diagnosing Multi-Pathological Types of Pulmonary Nodules，
International Journal of Imaging Systems and Technology，
2022，
SCI二区，
共同一作
