Search Results - "Hagerman, David"

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  1. 1

    A deep multi-stream model for robust prediction of left ventricular ejection fraction in 2D echocardiography by Alvén, Jennifer, Hagberg, Eva, Hagerman, David, Petersen, Richard, Hjelmgren, Ola

    Published in Scientific reports (24-01-2024)
    “…We propose a deep multi-stream model for left ventricular ejection fraction (LVEF) prediction in 2D echocardiographic (2DE) examinations. We use four standard…”
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    Journal Article
  2. 2

    Semi-supervised learning with natural language processing for right ventricle classification in echocardiography—a scalable approach by Hagberg, Eva, Hagerman, David, Johansson, Richard, Hosseini, Nasser, Liu, Jan, Björnsson, Elin, Alvén, Jennifer, Hjelmgren, Ola

    Published in Computers in biology and medicine (01-04-2022)
    “…We created a deep learning model, trained on text classified by natural language processing (NLP), to assess right ventricular (RV) size and function from…”
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    Journal Article
  3. 3

    Impacts of bovine spongiform encephalopathy and avian influenza on U.S. meat demand by Jianhong E Mu, Bruce A McCarl, Amy Hagerman, David Bessler (Guest Editor Professor of Agricultural Economics in Developing and Transition Countries)

    Published in Journal of Integrative Agriculture (01-06-2015)
    “…This paper examines the U.S. meat demand impacts of the announced outbreaks of bovine spongiform encephalopathy(BSE) and avian influenza(AI). Findings indicate…”
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    Journal Article
  4. 4

    Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds by Hess, Georg, Jaxing, Johan, Svensson, Elias, Hagerman, David, Petersson, Christoffer, Svensson, Lennart

    “…Masked autoencoding has become a successful pretraining paradigm for Transformer models for text, images, and, recently, point clouds. Raw automotive datasets…”
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    Conference Proceeding
  5. 5

    Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds by Hess, Georg, Jaxing, Johan, Svensson, Elias, Hagerman, David, Petersson, Christoffer, Svensson, Lennart

    Published 09-03-2023
    “…Masked autoencoding has become a successful pretraining paradigm for Transformer models for text, images, and, recently, point clouds. Raw automotive datasets…”
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    Journal Article
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