Blar i NTNU Open på forfatter "Knudtsen, Ingerid Søberg Skjei"
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Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics
Huynh, Bao Ngoc; Grøndahl, Aurora Rosvoll; Tomic, Oliver; Liland, Kristian Hovde; Knudtsen, Ingerid Søberg Skjei; Hoebers, Frank; van Elmpt, Wouter; Malinen, Eirik; Dale, Einar; Futsæther, Cecilia Marie (Peer reviewed; Journal article, 2023)Background: Radiomics can provide in-depth characterization of cancers for treatment outcome prediction. Conventional radiomics rely on extraction of image features within a pre-defined image region of interest (ROI) which ... -
Pelvic PET/MR attenuation correction in the image space using deep learning
Abrahamsen, Bendik Skarre; Knudtsen, Ingerid Søberg Skjei; Eikenes, Live; Bathen, Tone Frost; Elschot, Mattijs (Peer reviewed; Journal article, 2023)