Yusu Wang

Discrete Morse Graph Construction for High-Dimensional Transcriptomic Data

This paper introduces scDMGC, a method to analyze high-dimensional transcriptomic data using topological data analysis, revealing cell-type organization and transcriptional gradients in brain datasets.

Skeletonization of neuronal processes using Discrete Morse techniques from computational topology

The paper introduces a method combining deep learning and Discrete Morse techniques to skeletonize neuronal processes from tracer injection data, improving the accuracy of axon length density estimation.

Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks

The paper introduces a hybrid deep learning architecture combining topological priors with encoder-decoder networks to improve semantic segmentation of neuroanatomical data with high precision and recall.

Detection and skeletonization of single neurons and tracer injections using topological methods

This paper introduces topological methods to detect and skeletonize neurons and tracer injections, showing improved performance over existing techniques.

Topological Skeletonization and Tree-Summarization of Neurons Using Discrete Morse Theory

The paper introduces a method using Discrete Morse Theory to extract and summarize neuronal tree structures from volumetric brain images, providing a more informative summary than traditional connectivity matrices.

Genetic Single Neuron Anatomy reveals fine granularity of cortical interneuron subtypes

The paper uses genetic labeling and high-resolution microscopy to reveal fine-grained subtypes of cortical interneurons in mice, showing distinct connectivity patterns.

Metrics for comparing Neuronal Tree Shapes based on Persistent Homology

This paper introduces a topological persistence-based framework for comparing neuronal tree structures, showing it captures more information than traditional morphometric summaries.