Viana, Matheus P.
Allen Institute for Cell Science
10 papers on CoChatORCID 0000-0001-9288-2108
Most cited papers
- Verified
Mechanosensing is critical for axon growth in the developing brain
Koser, D. E., Thompson, A. J., Foster, S. K., Dwivedy, A., Pillai, E. K., Sheridan, G. K., Svoboda, H., Viana, M., Costa, L. D. F., Guck, J., et al. (2016) · Nature Neuroscience
Axon Guidance and Neuronal SignalingCellular Mechanics and Interactions
Cited by 649
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Integrated intracellular organization and its variations in human iPS cells
Viana, M. P., Chen, J., Knijnenburg, T. A., Vasan, R., Yan, C., Arakaki, J. E., Bailey, M., Berry, B., Borensztejn, A., Brown, E. M., et al. (2023) · Nature
Cell Image Analysis TechniquesPluripotent Stem Cells Research
Cited by 132
- Verified
Urban Street Networks, a Comparative Analysis of Ten European Cities
Strano, E., Viana, M., da Fontoura Costa, L., Cardillo, A., Porta, S., & Latora, V. (2013) · Environment and Planning B: Planning and Design
Urban Design and Spatial AnalysisComplex Network Analysis Techniques
Cited by 121
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The Allen Cell and Structure Segmenter: a new open source toolkit for segmenting 3D intracellular structures in fluorescence microscopy images
Chen, J., Ding, L., Viana, M. P., Lee, H., Sluezwski, M. F., Morris, B., Hendershott, M. C., Yang, R., Mueller, I. A., & Rafelski, S. M. (2018) · bioRxiv (Cold Spring Harbor Laboratory)
Cell Image Analysis TechniquesMedical Image Segmentation Techniques
Cited by 99
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Cell states beyond transcriptomics: integrating structural organization and gene expression in hiPSC-derived cardiomyocytes
Gerbin, K. A., Grancharova, T., Donovan-Maiye, R., Hendershott, M. C., Brown, J., Dinh, S. Q., Gehring, J. L., Hirano, M., Johnson, G. R., Nath, A., et al. (2020) · Cell Systems
Single-cell and spatial transcriptomicsPluripotent Stem Cells Research
Cited by 59
- Verified
Cell states beyond transcriptomics: Integrating structural organization and gene expression in hiPSC-derived cardiomyocytes
Gerbin, K. A., Grancharova, T., Donovan-Maiye, R. M., Hendershott, M. C., Anderson, H. G., Brown, J. M., Chen, J., Dinh, S. Q., Gehring, J. L., Johnson, G. R., et al. (2021) · Cell Systems
Single-cell and spatial transcriptomicsPluripotent Stem Cells Research
Cited by 59
- Verified
Interpretable representation learning for 3D multi-piece intracellular structures using point clouds
Vasan, R., Ferrante, A. J., Borensztejn, A., Frick, C. L., Garrison, P., Gaudreault, N., Mogre, S. S., Mohammed, F. S., Morris, B., Pires, G. G., et al. (2025) · Nature Methods
Cell Image Analysis TechniquesTopological and Geometric Data Analysis
Cited by 7
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Colony context and size-dependent compensation mechanisms give rise to variations in nuclear growth trajectories
Dixon, J. C., Frick, C. L., Leveille, C. L., Garrison, P., Lee, P. A., Mogre, S. S., Morris, B., Nivedita, N., Vasan, R., Chen, J., et al. (2024) · Cell Systems
Cell Image Analysis TechniquesGene Regulatory Network Analysis
Cited by 3
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Cell shapes decode molecular phenotypes in image-based spatial proteomics
Le, T., Leineweber, W. D., Viana, M. P., Cesnik, A., Hansen, J. N., Ouyang, W., Rafelski, S. M., & Lundberg, E. (2026) · Cell Systems
Cell Image Analysis TechniquesSingle-cell and spatial transcriptomics
Cited by 3
- Verified
Cell shapes decode molecular phenotypes in image-based spatial proteomics
Le, T., Leineweber, W. D., Viana, M. P., Cesnik, A., Hansen, J. N., Ouyang, W., Rafelski, S. M., & Lundberg, E. (2025) · Cell Systems
Cell Image Analysis TechniquesSingle-cell and spatial transcriptomics
Cited by 3
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