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David Van Valen, Ph.D. - Publications

Affiliations: 
2011 Applied Physics California Institute of Technology, Pasadena, CA 
Area:
General Physics, General Biophysics
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11 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Ma J, Xie R, Ayyadhury S, Ge C, Gupta A, Gupta R, Gu S, Zhang Y, Lee G, Kim J, Lou W, Li H, Upschulte E, Dickscheid T, de Almeida JG, ... ... Van Valen D, et al. The multimodality cell segmentation challenge: toward universal solutions. Nature Methods. PMID 38532015 DOI: 10.1038/s41592-024-02233-6  0.516
2023 Israel U, Marks M, Dilip R, Li Q, Schwartz M, Pradhan E, Pao E, Li S, Pearson-Goulart A, Perona P, Gkioxari G, Barnowski R, Yue Y, Van Valen D. A Foundation Model for Cell Segmentation. Biorxiv : the Preprint Server For Biology. PMID 38045277 DOI: 10.1101/2023.11.17.567630  0.514
2023 Laubscher E, Wang XJ, Razin N, Dougherty T, Xu RJ, Ombelets L, Pao E, Graf W, Moffitt JR, Yue Y, Van Valen D. Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning. Biorxiv : the Preprint Server For Biology. PMID 37732188 DOI: 10.1101/2023.09.03.556122  0.39
2023 Schwartz M, Israel U, Wang XJ, Laubscher E, Yu C, Dilip R, Li Q, Mari J, Soro J, Yu K, Pradhan E, Ates A, Gallandt D, Barnowski R, Pao E, ... Van Valen D, et al. Scaling biological discovery at the interface of deep learning and cellular imaging. Nature Methods. 20: 956-957. PMID 37434003 DOI: 10.1038/s41592-023-01931-x  0.324
2022 Andrews B, Chang JB, Collinson L, Li D, Lundberg E, Mahamid J, Manley S, Mhlanga M, Nakano A, Schöneberg J, Van Valen D, Wu T', Zaritsky A. Imaging cell biology. Nature Cell Biology. PMID 35896733 DOI: 10.1038/s41556-022-00960-6  0.489
2021 Greenwald NF, Miller G, Moen E, Kong A, Kagel A, Dougherty T, Fullaway CC, McIntosh BJ, Leow KX, Schwartz MS, Pavelchek C, Cui S, Camplisson I, Bar-Tal O, Singh J, ... ... Van Valen D, et al. Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning. Nature Biotechnology. PMID 34795433 DOI: 10.1038/s41587-021-01094-0  0.457
2021 Bannon D, Moen E, Schwartz M, Borba E, Kudo T, Greenwald N, Vijayakumar V, Chang B, Pao E, Osterman E, Graf W, Van Valen D. Publisher Correction: DeepCell Kiosk: scaling deep learning-enabled cellular image analysis with Kubernetes. Nature Methods. PMID 33437045 DOI: 10.1038/s41592-021-01059-w  0.323
2021 Bannon D, Moen E, Schwartz M, Borba E, Kudo T, Greenwald N, Vijayakumar V, Chang B, Pao E, Osterman E, Graf W, Van Valen D. DeepCell Kiosk: scaling deep learning-enabled cellular image analysis with Kubernetes. Nature Methods. PMID 33398191 DOI: 10.1038/s41592-020-01023-0  0.396
2019 Moen E, Bannon D, Kudo T, Graf W, Covert M, Van Valen D. Deep learning for cellular image analysis. Nature Methods. PMID 31133758 DOI: 10.1038/S41592-019-0403-1  0.588
2017 Lane K, Van Valen D, DeFelice MM, Macklin DN, Kudo T, Jaimovich A, Carr A, Meyer T, Pe'er D, Boutet SC, Covert MW. Measuring Signaling and RNA-Seq in the Same Cell Links Gene Expression to Dynamic Patterns of NF-κB Activation. Cell Systems. PMID 28396000 DOI: 10.1016/J.Cels.2017.03.010  0.475
2016 Van Valen DA, Kudo T, Lane KM, Macklin DN, Quach NT, DeFelice MM, Maayan I, Tanouchi Y, Ashley EA, Covert MW. Deep Learning Automates the Quantitative Analysis of Individual Cells in Live-Cell Imaging Experiments. Plos Computational Biology. 12: e1005177. PMID 27814364 DOI: 10.1371/Journal.Pcbi.1005177  0.49
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