Browsing NTNU Open by Author "Martens, Harald Aagaard"

Now showing items 1-4 of 4

    • Analysis of Megavariate Data in Functional Omics 

      Mosleth, Ellen Færgestad; McLeod, Anette; Rud, Ida; Axelsson, Lars; Solberg, Lars Erik; Moen, Birgitte; Gilman, Krista Marie Erickson; Færgestad, Eline Mosleth; Lysenko, Artem; Rawlings, Chris; Dankel, Simon N; Mellgren, Gunnar; Barajas-Olmos, Francisco Martin; Orozco, Lorena Sofia; Sæbø, Solve; Gidskehaug, Lars; Janbu, Astrid Oust; Kohler, Achim; Martens, Harald Aagaard; Liland, Kristian Hovde (Chapter, 2020)
      Over the latest decades, there has been a rapid development of laboratory techniques used for analyzing the pathways from the genes to the final physiology of an organism. The study of all genes in an organism is defined ...

    • Computer-Aided Diagnosis of Prostate Cancer Using Multiparametric MRI: Preprocessing, Segmentation and Quality Control 

      Sunoqrot, Mohammed Rasem Sadeq (Doctoral theses at NTNU;2021:264, Doctoral thesis, 2021)
      Sammendrag Dataassistert diagnostikk av prostatakreft ved bruk av Multiparametrisk MRI: Forbehandling, segmentering og kvalitetskontroll Prostatakreft er den vanligste kreftformen hos menn og den nest hyppigste årsaken ...

    • Hyperspectral Video Analysis by Motion and Intensity Preprocessing and Subspace Autoencoding 

      Vitale, Raffaele; Ruckebusch, Cyril; Burud, Ingunn; Martens, Harald Aagaard (Peer reviewed; Journal article, 2022)
      Hyperspectral imaging has recently gained increasing attention from academic and industrial world due to its capability of providing both spatial and physico-chemical information about the investigated objects. While this ...

    • Metamodeling of the Electrical Conditions in Submerged Arc Furnaces 

      Sparta, Manuel; Varagnolo, Damiano; Stråbø, Kristian; Halvorsen, Svenn Anton; Herland, Egil Vålandsmyr; Martens, Harald Aagaard (Journal article; Peer reviewed, 2021)
      Physics-based Finite Element Methods models can be used to investigate the electrical conditions in submerged arc furnaces (SAFs). However, their explicit solution may be very demanding in terms of time and computational ...