Metrics for comparing neuronal tree shapes based on persistent homology Y Li, D Wang, GA Ascoli, P Mitra, Y Wang PloS one 12 (8), e0182184, 2017 | 79 | 2017 |
Graph coarsening with neural networks C Cai, D Wang, Y Wang arXiv preprint arXiv:2102.01350, 2021 | 69 | 2021 |
Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder–decoder deep networks S Banerjee, L Magee, D Wang, X Li, BX Huo, J Jayakumar, K Matho, ... Nature machine intelligence 2 (10), 585-594, 2020 | 30 | 2020 |
An improved cost function for hierarchical cluster trees D Wang, Y Wang arXiv preprint arXiv:1812.02715, 2018 | 19 | 2018 |
Metric embeddings with outliers A Sidiropoulos, D Wang, Y Wang Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017 | 17 | 2017 |
Detection and skeletonization of single neurons and tracer injections using topological methods D Wang, L Magee, BX Huo, S Banerjee, X Li, J Jayakumar, MK Lin, ... arXiv preprint arXiv:2004.02755, 2020 | 3 | 2020 |
Genetic Single Neuron Anatomy reveals fine granularity of cortical interneuron subtypes X Wang, J Tucciarone, S Jiang, F Yin, B Wang, D Wang, Y Jia, X Jia, Y Li, ... bioRxiv, 219485, 2017 | 1 | 2017 |
Understanding Noise and Structure behind Metric Spaces D Wang The Ohio State University, 2021 | | 2021 |
Ordinally Consensus Subset over Multiple Metrics D Wang, Y Wang arXiv preprint arXiv:2011.05557, 2020 | | 2020 |