Blar i Fakultet for helsevitenskap (HV) på emneord "Machine learning"

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    • Artificial intelligence in the fertility clinic: status, pitfalls and possibilities 

      Riegler, Michael Alexander; Stensen, Mette Haug; Witczak, Oliwia; Andersen, Jorunn Marie; Hicks, Steven; Hammer, Hugo Lewi; Delbarre, Erwan; Halvorsen, Pål; Yazidi, Anis; Holst, Nicolai; Haugen, Trine B. (Human Reproduction;Volume 36, Issue 9, Peer reviewed; Journal article, 2021-07-29)
      In recent years, the amount of data produced in the field of assisted reproduction technology [ART] has increased exponentially. The diversity of data is large, ranging from videos to tabular data. At the same time, ...

    • Brain connectome mapping of complex human traits and their polygenic architecture using machine learning 

      Maglanoc, Luigi Angelo; Kaufmann, Tobias; van der Meer, Dennis; Marquand, André F.; Wolfers, Thomas; Jonassen, Rune; Hilland, Eva; Andreassen, Ole Andreas; Landrø, Nils Inge; Westlye, Lars Tjelta (Biological Psychiatry;Available online 29 October 2019, Journal article; Peer reviewed, 2019-10-18)
      Background: Mental disorders and individual characteristics such as intelligence and personality are complex traits sharing a largely unknown neuronal basis. Their genetic architectures are highly polygenic and overlapping, ...

    • Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysis 

      Maglanoc, Luigi Angelo; Kaufmann, Tobias; Jonassen, Rune; Hilland, Eva; Beck, Dani; Landrø, Nils Inge; Westlye, Lars Tjelta (Human Brain Mapping;Volume 41, Issue 1, January 2020, Journal article; Peer reviewed, 2019-09-09)
      Previous structural and functional neuroimaging studies have implicated distributed brain regions and networks in depression. However, there are no robust imaging biomarkers that are specific to depression, which may be ...

    • VISEM: A Multimodal Video Dataset of Human Spermatozoa 

      Haugen, Trine B.; Hicks, Steven; Andersen, Jorunn Marie; Witczak, Oliwia; Hammer, Hugo Lewi; Borgli, Rune Johan; Halvorsen, Pål; Riegler, Michael (ACM MMSys conference series;, Chapter; Peer reviewed, 2019)
      Real multimedia datasets that contain more than just images or text are rare. Even more so are open multimedia datasets in medicine. Often, clinically related datasets only consist of image or videos. In this paper, we ...