Area of research
Molecular Biology · Radiology, Nuclear Medicine and Imaging
Research interest
Research focused on Logistic regression and Embedding, with related work in Sample (material), Segmentation, Transfer of learning. Notable publications include 'Spatial-ID: a cell typing method for spatially resolved transcriptomics via transfer learning and spatial embedding', 'Stereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics', and 'Prediction model for early childhood caries risk based on behavioral determinants using a machine learning algorithm'.
Stereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics
Deep learning Radiomics Based on Two-Dimensional Ultrasound for Predicting the Efficacy of Neoadjuvant Chemotherapy in Breast Cancer
Deep learning segmentation, classification, and risk prediction of complex vascular lesions on intravascular ultrasound images
Spatial-ID: a cell typing method for spatially resolved transcriptomics via transfer learning and spatial embedding
Prediction model for early childhood caries risk based on behavioral determinants using a machine learning algorithm