Hetian Wang
Beijing Transportation Research Center(CN)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Advanced Neural Network Applications, Digital Imaging for Blood Diseases, Digital Radiography and Breast Imaging
Most-Cited Works
- → Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma(2022)38 cited
- → DHUnet: Dual-branch hierarchical global–local fusion network for whole slide image segmentation(2023)32 cited
- → MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images(2022)18 cited
- → An integrated pan-cancer analysis of identifying biomarkers about the EGR family genes in human carcinomas(2022)11 cited
- → FEDI: Few-shot learning based on Earth Mover's Distance algorithm combined with deep residual network to identify diabetic retinopathy(2021)4 cited
- → Research on Data Classification Method Based on Class Attribute Mathematical Expectation(2019)2 cited
- → Correlating traditional image quality metrics and DNN-based object detection: a case study with compressed camera data(2023)1 cited
- → A Path Toward Bayer Compression for Automotive Applications(2025)1 cited