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Computational neuroanatomy and co-expression of genes in the adult mouse brain, analysis tools for the Allen Brain Atlas., , and . Quant. Biol., 1 (1): 91-100 (2013)Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks., , , , , , , , , and 3 other author(s). Nat. Mach. Intell., 2 (10): 585-594 (2020)Performance of Image Matching in the Computational Anatomy Gateway: CPU and GPU Implementations in OpenCL., , , and . PEARC, page 46:1-46:7. ACM, (2017)An active texture-based digital atlas enables automated mapping of structures and markers across brains, , , , , , , , and . Nature Methods, 16 (4): 341--350 (2019)SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design., , , , , and . CoRR, (2019)Computational neuroanatomy and gene expression: Optimal sets of marker genes for brain regions., and . CISS, page 1-6. IEEE, (2012)3D Mapping of Serial Histology Sections with Anomalies Using a Novel Robust Deformable Registration Algorithm., , , , , and . MBIA/MFCA@MICCAI, volume 11846 of Lecture Notes in Computer Science, page 162-173. Springer, (2019)Short-time behavior of the diffusion coefficient as a geometrical probe of porous media, , and . Physical Review B, 47 (14): 8565+ (Apr 1, 1993)Multimedia signal processing for behavioral quantification in neuroscience., , , , , , , and . ACM Multimedia, page 1007-1016. ACM, (2006)On Fundamental Limitations of Dynamic Feedback Control in Regular Large-Scale Networks., , , and . IEEE Trans. Automat. Contr., 64 (12): 4936-4951 (2019)