• Guided U-Net Aided Efficient Image Data Storing with Shape Preservation 

    Banerjee, Nirwan; Malakar, Samir; Gupta, Deepak Kumar; Horsch, Ludwig Alexander; Prasad, Dilip Kumar (Chapter; Bokkapittel, 2023-11-02)
    The proliferation of high-content microscopes ( 32 GB for a single image) and the increasing amount of image data generated daily have created a pressing need for compact storage solutions. Not only is the storage of such massive image data cumbersome, but it also requires a significant amount of storage and data bandwidth for transmission. To address this issue, we present a novel deep learning ...
  • Aboriginal and Torres Strait Islander family access to continuity of health care services in the first 1000 days of life: a systematic review of the literature 

    Sivertsen, Nina; Anikeeva, Olga; Deverix, Janiene; Grant, Julian (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-09-03)
    Background - Aboriginal women and their infants experience significant disadvantage in health outcomes compared to their non-Aboriginal counterparts. Access to timely, effective and appropriate maternal and child healthcare can contribute to reducing these existing health disparities. However, accessing mainstream healthcare services often results in high levels of fear and anxiety, and low attendance ...
  • Mapping the well-being of Norwegian mothers during the COVID-19 pandemic 

    Kvalø, Marie; Parks-Stamm, Elizabeth J.; Thorsteinsen, Kjærsti; Olsen, Marte; Martiny, Sarah Elisabeth (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-04-16)
    The COVID-19 pandemic had negative effects on many people's well-being and quality of life. In the present work, we focused on Norwegian mothers with elementary school children, and investigated whether their well-being, stress, and worries (and the relationships between them) changed across the early months of the pandemic. We collected data at two time points in 2020. In June 2020, 231 mothers ...
  • Deidentifying a Norwegian clinical corpus - An effort to create a privacy-preserving Norwegian large clinical language model 

    Ngo, Phuong Dinh; Tejedor Hernandez, Miguel Angel; Olsen Svenning, Therese; Chomutare, Taridzo Fred; Budrionis, Andrius; Dalianis, Hercules (Journal article; Tidsskriftartikkel; Peer reviewed, 2024)
    This study discusses the methods and challenges of deidentifying and pseudonymizing Norwegian clinical text for research purposes. The results of the NorDeid tool for deidentification and pseudonymization on different types of protected health information were evaluated and discussed, as well as the extension of its functionality with regular expressions to identify specific types of sensitive ...
  • MedNoreg+: A possible contribution to systematic Information Retrieval and access for evidence-based-decision-making 

    Msomphora, Mbachi Ruth (Conference object; Konferansebidrag, 2022-06)
    Description of the topic theme: To develop a database system called “MedNoreg+” that will enable: 1.Users to systematically search with Norwegian and Swedish terms, apart from English (room for expansion to other languages). 2.All PubMed posts will be loaded automatically into MedNoreg+. 3.Auto index MeSH terms on all the posts, which NLM has not yet been able to index manuall. Relevance of the topic ...

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