Past Work
Alumni Work
NeuroPath2Path: Classification and elastic morphing between neuronal arbors using path-wise similarity
The shape and connectivity of a neuron determine its function. Modern imaging methods have proven successful at extracting such information. NeuroPath2Path is an effective application for neuronal morphological representation. The morphology of a neuron, which consists of its overall size, global shape, local branch patterns...
Segmentation of Cortical Spreading Depression Wavefronts Through Local Similarity Metric
We present a novel region-based segmentation method for cortical spreading depressions in 2-photon microscopy images. Fluorescent microscopy has become an important tool in neuroscience, but segmentation approaches are challenged by the opaque properties and structures of brain tissue...
LCuts: Linear Clustering of Bacteria using Recursive Graph Cuts
A graph-based data clustering method, LCuts, is presented with the application on bacterial cell segmentation. The method assists in the assessment of several facets, such as bacterium tracking, cluster growth, and mapping of migration patterns of bacterial biofilms...
Hieroglyph: Hierarchical Glia Graph Skeletonization and Matching
Automatic 3D reconstruction of glia morphology is a powerful tool necessary for investigating the role of microglia in neurological disorders in the central nervous system. We propose Hieroglyph, a fully automatic temporal 3D skeleton reconstruction algorithm for glia imaged via 3D multiphoton microscopy...
PrecoG: an efficient unitary split preconditioner for the transform-domain LMS filter via graph Laplacian regularization
PrecoG is an algorithm that derives a preconditioner for LMS filters. The preconditioner is data-dependent and is designed by modeling the input data with graph topology. It is also prove effective for solving ill-conditioned linear systems and...
SITUP: Scale Invariant Tracking using Average Peak-to-Correlation Energy
We propose to incorporate a novel criterion called the average peak-to-correlation energy into the multi-resolution translation filter framework to obtain robust and accurate scale estimation...