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Simulation-based inference for efficient identification of generative models in computational connectomics
Boelts, J., Harth, P., Gao, R., Udvary, D., Yáñez, F., Baum, D., Hege, H. C., Oberlaender, M. & Macke, J. H., Sept 2023, In: PLoS computational biology. 19, 9, p. 1-28 28 p., e1011406.Research output: Contribution to journal › Article › Academic › peer-review
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BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets
Manubens-Gil, L., Zhou, Z., Chen, H., Ramanathan, A., Liu, X., Liu, Y., Bria, A., Gillette, T., Ruan, Z., Yang, J., Radojević, M., Zhao, T., Cheng, L., Qu, L., Liu, S., Bouchard, K. E., Gu, L., Cai, W., Ji, S., Roysam, B., & 45 others , 1 Jun 2023, In: Nature methods. 20, 6, p. 824-835Research output: Contribution to journal › Article › Academic › peer-review
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Rapid Prototyping for Coordinated Views of Multi-scale Spatial and Abstract Data: A Grammar-based Approach
Harth, P., Bast, A., Troidl, J., Meulemeester, B., Pfister, H., Beyer, J., Oberlaender, M., Hege, H. C. & Baum, D., 2023, VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine: [Full and Short Paper Proceedings]. Hansen, C., Procter, J., Jönsson, D. & Höllt, T. (eds.). Eurographics Association, p. 99-109 11 p. (Eurographics Workshop on Visual Computing for Biomedicine).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review