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Using nonlinear diffusion and mean shift to detect and connect cross-sections of axons in 3D optical microscopy images., , , , , and . Medical Image Anal., 12 (6): 666-675 (2008)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)Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures., , , , , , and . CoRR, (2016)PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics., , , and . CoRR, (2021)TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images., , , , , , , , and . CoRR, (2024)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)High Throughput Connectomics (Dagstuhl Seminar 18481)., , and . Dagstuhl Reports, 8 (11): 112-138 (2018)Gradient-Domain Processing for Large EM Image Stacks., , , , , and . CoRR, (2013)