Dingkang Wang

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.

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

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

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