The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Whole-cell organelle segmentation in volume electron microscopy
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Citations
Cites
U-Net: Convolutional Networks for Biomedical Image Segmentation
Ronneberger, O., Fischer, P., & Brox, T. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24574-4_28 · Cited by 99,404
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890
Self-citation3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
Çiçek, Ö., Abdulkadir, A., Lienkamp, S. S., Brox, T., & Ronneberger, O. (2016) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-46723-8_49 · Cited by 7,945
Elastix: a toolbox for intensity-based medical image registration
Klein, S., Staring, M., Murphy, K., Viergever, M. A., & Pluim, J. (2010) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2035616 · Cited by 4,311
Building Skeleton Models via 3-D Medial Surface Axis Thinning Algorithms
Lee, T. C., Kashyap, R. L., & Chu, C. N. (1994) · CVGIP: Graphical Models and Image Processing · doi:10.1006/cgip.1994.1042 · Cited by 1,545
(2012) · neural information processing systems · Cited by 1,291
Applying systems-level spectral imaging and analysis to reveal the organelle interactome
Valm, A. M., Cohen, S., Legant, W. R., Melunis, J., Hershberg, U., Wait, E., Cohen, A. R., Davidson, M. W., Betzig, E., & Lippincott-Schwartz, J. (2017) · Nature · doi:10.1038/nature22369 · Cited by 1,113
Self-citationSaturated Reconstruction of a Volume of Neocortex
Kasthuri, N., Hayworth, K. J., Berger, D. R., Schalek, R. L., Conchello, J. A., Knowles-Barley, S., Lee, D., Vázquez-Reina, A., Kaynig, V., Jones, T. R., et al. (2015) · Cell · doi:10.1016/j.cell.2015.06.054 · Cited by 1,044
Nixon-Abell, J., Obara, C. J., Weigel, A. V., Li, D., Legant, W. R., Xu, C. S., Pasolli, H. A., Harvey, K., Hess, H. F., Betzig, E., et al. (2016) · Science · doi:10.1126/science.aaf3928 · Cited by 455
Self-citationEnhanced FIB-SEM systems for large-volume 3D imaging
Xu, C. S., Hayworth, K. J., Lu, Z., Grob, P., Hassan, A. M., García-Cerdán, J. G., Niyogi, K. K., Nogales, E., Weinberg, R. J., & Hess, H. F. (2017) · eLife · doi:10.7554/elife.25916 · Cited by 411
Self-citation
Cited by
Towards foundation models of biological image segmentation
Ma, J., & Wang, B. (2023) · Nature Methods · doi:10.1038/s41592-023-01885-0 · Cited by 57
Koppers, M., Özkan, N., Nguyen, H. H., Jurriens, D., McCaughey, J., Nguyen, D. T. M., Li, C. H., Stucchi, R., Altelaar, M., MacGillavry, H. D., et al. (2024) · Developmental Cell · doi:10.1016/j.devcel.2024.05.005 · Cited by 44
Self-citationCAVE: Connectome Annotation Versioning Engine
Dorkenwald, S., Schneider-Mizell, C. M., Brittain, D., Halageri, A., Jordan, C., Kemnitz, N., Castro, M. A., Silversmith, W., Maitin-Shephard, J., Troidl, J., et al. (2023) · doi:10.1101/2023.07.26.550598 · Cited by 79
Mesoscale simulation of biomembranes with FreeDTS
Pezeshkian, W., & Ipsen, J. H. (2024) · Nature Communications · doi:10.1038/s41467-024-44819-w · Cited by 24
“Fluid artificial and biological membranes can adapt to a diverse range of morphologies from multispherical structures to the astonishing forms seen in the subcellular organelles such as endoplasmic reticulum, Golgi apparatus, and mitochondria [1, 2].”
Xie, R., Pang, K., Bader, G. D., & Wang, B. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr52729.2023.00321 · Cited by 17
Metadata
- Authors
- Heinrich, L., Bennett, D., Ackerman, D., Park, W., Bogovic, J., Eckstein, N., Petruncio, A., Clements, J., Pang, S., Xu, C. S., Funke, J., Korff, W., Hess, H. F., Lippincott-Schwartz, J., Saalfeld, S., Weigel, A. V., COSEM Project Team, Ali, R., Arruda, R., Bahtra, R., & Nguyen, D.
- Venue
- Nature
- Published
- 2021-10-06
- Volume
- 599
- Issue
- 7883
- Pages
- 141-146
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W3201820946
- Cited by
- 292
- References
- 45
- FWCI
- 19.23
- Type
- journal article
- Language
- en
- Open access
- closed
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Whole-cell organelle segmentation in volume electron microscopy. https://app.cochat.ai/papers/10.1038/s41586-021-03977-3
- The paper
- Heinrich, L., Bennett, D., Ackerman, D., Park, W., Bogovic, J., Eckstein, N., Petruncio, A., Clements, J., Pang, S., Xu, C. S., Funke, J., Korff, W., Hess, H. F., Lippincott-Schwartz, J., Saalfeld, S., Weigel, A. V., COSEM Project Team, Ali, R., Arruda, R., . . . Nguyen, D. (2021). Whole-cell organelle segmentation in volume electron microscopy. Nature. https://doi.org/10.1038/s41586-021-03977-3
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
