Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning Nov 24, 2020 Go to Project Site PDF Photo by rawpixel on Unsplash 2020 Yuankai Huo Assistant Professor of Computer Science My research interests include large-scale medical image analysis, data science, and machine learning. Next Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale Previous The Value of Nullspace Tuning Using Partial Label Information Related Instance Segmentation for Whole Slide Imaging: End-to-End or Detect-Then-Segment CircleNet: Anchor-free Detection with Circle Representation A Deep Pattern Recognition Approach for Inferring Respiratory Volume Fluctuations from fMRI Data Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale