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AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions., , , , , , , , , and 6 other author(s). MICCAI (1), volume 12901 of Lecture Notes in Computer Science, page 175-185. Springer, (2021)The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience., , , , , , , , , and 10 other author(s). SSDBM, page 27:1-27:11. ACM, (2013)Two Stream Active Query Suggestion for Active Learning in Connectomics., , , , , , , , , and 6 other author(s). ECCV (18), volume 12363 of Lecture Notes in Computer Science, page 103-120. Springer, (2020)NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale., , , , , , , , , and 5 other author(s). MICCAI (1), volume 12901 of Lecture Notes in Computer Science, page 164-174. Springer, (2021)Segmentation fusion for connectomics., , , , , and . ICCV, page 177-184. IEEE Computer Society, (2011)High-Throughput Microscopy Image Deblurring with Graph Reasoning Attention Network., , , , , , , and . ISBI, page 1-5. IEEE, (2023)Shape-constrained repulsive snake method to segment and track neurons in 3D microscopy images., , , , , and . ISBI, page 538-541. IEEE, (2006)A Topological Nomenclature for 3D Shape Analysis in Connectomics., , , , , , , , , and . CVPR Workshops, page 4245-4253. Computer Vision Foundation / IEEE, (2020)Demand-driven volume rendering of terascale EM data., , , , and . SIGGRAPH Talks, page 57. ACM, (2011)Ssecrett and NeuroTrace: Interactive Visualization and Analysis Tools for Large-Scale Neuroscience Data Sets., , , , , , , , and . IEEE Computer Graphics and Applications, 30 (3): 58-70 (2010)