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Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction., , , and . IEEE Trans. Med. Imaging, 36 (7): 1533-1541 (2017)Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy., , and . IEEE Trans. Pattern Anal. Mach. Intell., 27 (8): 1226-1238 (2005)VANO: a volume-object image annotation system., , and . Bioinform., 25 (5): 695-697 (2009)Image categorization based on clustering spatial frequency maps., , and . Storage and Retrieval Methods and Applications for Multimedia, volume 5307 of SPIE Proceedings, page 212-222. SPIE, (2004)SNAP: a structure-based neuron morphology reconstruction automatic pruning pipeline., , , , , , and . Frontiers Neuroinformatics, (March 2023)Automatic reconstruction of 3D neuron structures using a graph-augmented deformable model., , , and . Bioinform., 26 (12): 38-46 (2010)Minimum Redundancy Feature Selection from Microarray Gene Expression Data., and . J. Bioinform. Comput. Biol., 3 (2): 185-206 (2005)Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks., , , , and . CoRR, (2023)Memory and Time Efficient 3D Neuron Morphology Tracing in Large-Scale Images., , , , , , and . DICTA, page 1-8. IEEE, (2018)Image Data Mining of Fruitfly Gene Expression Patterns.. CSB Workshops, page 352. IEEE Computer Society, (2005)