Mijuan Shi

This paper develops ESC-IDNet, a deep learning model for longitudinal zebrafish individual identification, achieving high accuracy with minimal updates.

This paper introduces ESC-YOLOv8-seg, a real-time, non-destructive method for detecting zebrafish surface anomalies with high accuracy and speed.

FishCODE provides a comprehensive multi-omics platform for fish research, offering extensive datasets and annotations to enhance data exploration and analysis.

FishSCT provides a zebrafish-focused database with single-cell transcriptome data from zebrafish and 8 other fish species, offering marker genes and expression profiles for 245 cell types.