Yingda Xia
Alibaba Group (Cayman Islands)(KY)Zhejiang Lab(CN)
Publications by Year
Research Areas
Advanced Neural Network Applications, Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Medical Image Segmentation Techniques, Pancreatic and Hepatic Oncology Research
Most-Cited Works
- → The Medical Segmentation Decathlon(2022)1,122 cited
- → Large-scale pancreatic cancer detection via non-contrast CT and deep learning(2023)277 cited
- → Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation(2020)257 cited
- → Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning(2022)171 cited
- → 3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training(2020)167 cited
- → A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation(2018)149 cited
- → Synthesize Then Compare: Detecting Failures and Anomalies for Semantic Segmentation(2020)127 cited
- → Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma(2019)102 cited
- → Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience(2019)91 cited
- → Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net(2018)86 cited