Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data Jan 1, 2022 Go to Project Site PDF Code Photo by rawpixel on Unsplash 2022 Yuankai Huo Assistant Professor of Computer Science My research interests include large-scale medical image analysis, data science, and machine learning. Next MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging Previous Self-supervised Learning with Large-scale Web Image Mining for Characterizing Glomerular Lesion Related CircleSnake: Instance Segmentation with Circle Representation Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning Cross-scale Attention Guided Multi-instance Learning for Crohns Disease Diagnosis with Pathological Images Dense Multi-object 3D Glomerular Reconstruction and Quantification on 2D Serial Section Whole Slide Image Eosinophilic Esophagitis Multi-label Feature Recognition on Whole Slide Imaging using Transfer Learning