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Image Processing and Pattern Recognition, Specifically: Geometry-Based and Statistics-Based Methods for Image Filtering, Segmentation and Feature Extraction Using High-Order Partial Differential Equations for Image and Surface Reconstruction; Applying These Methods to Problems in Biomedical Imaging, Particularly Neural Circuit Reconstruction From Very Large-Scale Microscopy Image Datasets

Image Processing and Pattern Recognition, Specifically: Geometry-Based and Statistics-Based Methods for Image Filtering, Segmentation and Feature Extraction Using High-Order Partial Differential Equations for Image and Surface Reconstruction; Applying These Methods to Problems in Biomedical Imaging, Particularly Neural Circuit Reconstruction From Very Large-Scale Microscopy Image Datasets

1 faculty research Image Processing and Pattern Recognition, Specifically: Geometry-Based and Statistics-Based Methods for Image Filtering, Segmentation and Feature Extraction Using High-Order Partial Differential Equations for Image and Surface Reconstruction; Applying These Methods to Problems in Biomedical Imaging, Particularly Neural Circuit Reconstruction From Very Large-Scale Microscopy Image Datasets on GradNova.