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John Lagergren

 https://orcid.org/0000-0002-8092-7433
Calculated based on number of publications stored in Pure and citations from Scopus
20182024

Research activity per year

  • 10 Article
  • 5 Conference contribution
  • 1 Review article
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Conference contribution

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  • 2023

    Data-Driven Whole-Genome Clustering to Detect Geospatial, Temporal, and Functional Trends in SARS-CoV-2 Evolution

    Merlet, J., Lagergren, J., Melesse Vergara, V., Cashman, M., Bradburne, C., Plowright, R., Gurley, E., Joubert, W. & Jacobson, D., Jun 26 2023, Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023. Association for Computing Machinery, Inc, (Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access

  • Longitudinal Effects on Plant Species Involved in Agriculture and Pandemic Emergence Undergoing Changes in Abiotic Stress

    Cashman, M., Vergara, V. G. M., Lagergren, J., Lane, M., Merlet, J., Atkinson, M., Streich, J., Bradburne, C., Plowright, R., Joubert, W. & Jacobson, D., Jun 26 2023, Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023. Association for Computing Machinery, Inc, (Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2023).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
  • 2020

    A Simple Deconvolutional Mechanism for Point Clouds and Sparse Unordered Data

    Paniagua, T., Lagergren, J. & Foderaro, G., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI Press, p. 13889-13890 2 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • 2019

    A convolutional neural network method for boundary optimization enables few-shot learning for biomedical image segmentation

    Rutter, E. M., Lagergren, J. H. & Flores, K. B., 2019, Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019 and First International Workshop, MIL3ID 2019 Shenzhen, Held in Conjunction with MICCAI 2019 Shenzhen, 2019 Proceedings. Wang, Q., Milletari, F., Rieke, N., Nguyen, H. V., Roysam, B., Albarqouni, S., Cardoso, M. J., Xu, Z., Kamnitsas, K., Patel, V., Jiang, S., Zhou, K., Luu, K. & Le, N. (eds.). Springer, p. 190-198 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11795 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    9 Scopus citations
  • 2018

    Automated Object Tracing for Biomedical Image Segmentation Using a Deep Convolutional Neural Network

    Rutter, E. M., Lagergren, J. H. & Flores, K. B., 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings. Frangi, A. F., Fichtinger, G., Schnabel, J. A., Alberola-López, C. & Davatzikos, C. (eds.). Springer Verlag, p. 686-694 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11073 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    7 Scopus citations