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Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction.

, , , , и . ICDM, стр. 806-815. IEEE, (2019)

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Changgeng Peng

Xiao-Wei Peng

Martin Peng

Jianqiang Peng

Lei Peng

 

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Image categorization based on clustering spatial frequency maps., , и . Storage and Retrieval Methods and Applications for Multimedia, том 5307 из SPIE Proceedings, стр. 212-222. SPIE, (2004)Deep Learning Segmentation of Optical Microscopy Images Improves 3-D Neuron Reconstruction., , , и . IEEE Trans. Med. Imaging, 36 (7): 1533-1541 (2017)Feature Selection Based on Mutual Information: Criteria of Max-Dependency, Max-Relevance, and Min-Redundancy., , и . IEEE Trans. Pattern Anal. Mach. Intell., 27 (8): 1226-1238 (2005)VANO: a volume-object image annotation system., , и . Bioinform., 25 (5): 695-697 (2009)Minimum Redundancy Feature Selection from Microarray Gene Expression Data., и . J. Bioinform. Comput. Biol., 3 (2): 185-206 (2005)Automatic reconstruction of 3D neuron structures using a graph-augmented deformable model., , , и . Bioinform., 26 (12): 38-46 (2010)Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks., , , , и . CoRR, (2023)SNAP: a structure-based neuron morphology reconstruction automatic pruning pipeline., , , , , , и . Frontiers Neuroinformatics, (марта 2023)Automatic Segmentation of Nuclei in 3d Microscopy Images of C.Elegans., , и . ISBI, стр. 536-539. IEEE, (2007)Discover Mouse Gene Coexpression Landscape Using Dictionary Learning and Sparse Coding., , , , , , , и . MICCAI (1), том 9900 из Lecture Notes in Computer Science, стр. 63-71. (2016)