Greenwald, Noah F.

Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning

Greenwald, N. F., Miller, G., Moen, E., Kong, A., Kagel, A., Dougherty, T., Fullaway, C. C., McIntosh, B. J., Leow, K. X., Schwartz, M. S., et al. (2022) · Nature Biotechnology

Cell Image Analysis TechniquesAI in cancer detection

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Patient-derived xenografts undergo mouse-specific tumor evolution

Ben-David, U., Ha, G., Tseng, Y.-Y., Greenwald, N. F., Oh, C., Shih, J., McFarland, J. M., Wong, B., Boehm, J. S., Beroukhim, R., et al. (2017) · Nature Genetics

Cancer Genomics and DiagnosticsGenomic variations and chromosomal abnormalities

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The multimodality cell segmentation challenge: toward universal solutions

Ma, J., Xie, R., Ayyadhury, S., Ge, C., Gupta, A., Gupta, R., Gu, S., Zhang, Y., Lee, G., Kim, J., et al. (2024) · Nature Methods

Cell Image Analysis TechniquesAdvanced Neural Network Applications

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Automated classification of cellular expression in multiplexed imaging data with Nimbus

Rumberger, J. L., Greenwald, N. F., Ranek, J. S., Boonrat, P., Walker, C., Franzen, J., Varra, S. R., Kong, A., Sowers, C., Liu, C. C., et al. (2024) · Nature Methods

Cell Image Analysis TechniquesSingle-cell and spatial transcriptomics

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