Detection and skeletonization of single neurons and tracer injections using topological methods. - Dingkang Wang; Lucas Magee; Bing-Xing Huo; Samik Banerjee; Xu Li 003; Jaikishan Jayakumar; Meng-Kuan Lin; Keerthi Ram; Suyi Wang; Yusu Wang 001; Partha P. Mitra (CoRR, 2020)

Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks. - Samik Banerjee; Lucas Magee; Dingkang Wang; Xu Li 003; Bing-Xing Huo; Jaikishan Jayakumar; Katherine Matho; Meng-Kuan Lin; Keerthi Ram; Mohanasankar Sivaprakasam; Z. Josh Huang; Yusu Wang 001; et al. (Nat. Mach. Intell., 2020)

Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph. - Chen Cai; Nikolaos Vlassis; Lucas Magee; Ran Ma; Zeyu Xiong; Bahador Bahmani; Teng-Fong Wong; Yusu Wang 001; WaiChing Sun (CoRR, 2021)

Graph skeletonization of high-dimensional point cloud data via topological method. - Lucas Magee; Yusu Wang 001 (J. Comput. Geom., 2022)

Minimum Monotone Tree Decomposition of Density Functions Defined on Graphs. - Lucas Magee; Yusu Wang 001 (COCOA (1), 2023)

Extracting Graph Structure from Data via Topological Methods with Applications to Neuroscience - Lucas Magee (2024)