Haichun Yang

Latest

• AI applications in renal pathology
• BEDS: Bagging ensemble deep segmentation for nucleus segmentation with testing stage stain augmentation
• Circle Representation for Medical Object Detection
• Compound Figure Separation of Biomedical Images with Side Loss
• Improve global glomerulosclerosis classification with imbalanced data using CircleMix augmentation
• Instance segmentation for whole slide imaging: end-to-end or detect-then-segment
• Map3D: registration based multi-object tracking on 3D serial whole slide images
• Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data
• SimTriplet: Simple Triplet Representation Learning with a Single GPU
• CircleNet: Anchor-free detection with circle representation
• EasierPath: an open-source tool for human-in-the-loop deep learning of renal pathology