He Li

Decoupling Detection and Classification to Improve Morphological Phenotype Analysis of Sickle Red Blood Cells in Full-Scope Microscopy

This paper improves sickle cell disease morphology analysis by combining a YOLO detector with a DenseNet classifier for accurate detection and classification of red blood cell morphologies in full-scope microscopy images.

Computational modeling of pro-inflammatory cytokine-enhanced blood coagulation

This study develops a computational model linking pro-inflammatory cytokines to coagulation dynamics, showing how inflammation alters thrombin generation in different diseases.

Automatic Classification of Circulating Blood Cell Clusters based on Multi-channel Flow Cytometry Imaging

This study introduces a framework for automatically classifying circulating blood cell clusters using flow cytometry images, achieving over 95% accuracy in cluster classification and phenotype identification.