Xingru Huang
South China Agricultural University(CN)University of Liverpool(GB)Queen Mary University of London(GB)Lishui University(CN)Hangzhou Dianzi University(CN)Changsha University of Science and Technology(CN)
Publications by Year
Research Areas
AI in cancer detection, Retinal Imaging and Analysis, Radiomics and Machine Learning in Medical Imaging, Digital Imaging for Blood Diseases, Medical Image Segmentation Techniques
Most-Cited Works
- → FIVES: A Fundus Image Dataset for Artificial Intelligence based Vessel Segmentation(2022)172 cited
- → Children’s dental panoramic radiographs dataset for caries segmentation and dental disease detection(2023)95 cited
- → Sex Difference in Global Burden of Major Depressive Disorder: Findings From the Global Burden of Disease Study 2019(2022)57 cited
- → Stimulus-guided adaptive transformer network for retinal blood vessel segmentation in fundus images(2023)51 cited
- → SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images(2021)45 cited
- → Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images(2021)44 cited