Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning Jan 1, 2022 Go to Project Site PDF 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 Large-Scale Patch-Wise Pathological Image Feature Dataset with a Hardware-agnostic Feature Extraction Tool Previous MAg: a Simple Learning-based Patient-level Aggregation Method for Detecting Microsatellite Instability from Whole-slide Images 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