Browsing NTNU Open by Author "van Elmpt, Wouter"
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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 ... -
Learning radiation oncology in Europe: Results of the ESTRO multidisciplinary survey
Bibault, Jean-Emmanuel; Franco, Pierfrancesco; van Elmpt, Wouter; Thorwarth, Daniela; Schmid, Maximilian P; Rouschop, Kasper M; Spalek, Mateusz; Mullaney, Laura; Redalen, Kathrine; Dubois, Ludwig; Verfaille, Christine; Eriksen, Jesper Grau (Journal article; Peer reviewed, 2018)Introduction Radiotherapy education can be very different across Europe, despite the publication of the ESTRO core curricula in 2011. The purpose of the current study is to map the different RO European education systems, ... -
Positron emission tomography guided dose painting by numbers of lung cancer: Alanine dosimetry in an anthropomorphic phantom
Papoutsis, Iosif; Knudtsen, Ingerid Skjei; Sande, Erlend Peter Skaug; Rekstad, Bernt Louni; Öllers, Michel; van Elmpt, Wouter; Arnesen, Marius Røthe; Malinen, Eirik (Peer reviewed; Journal article, 2022)Background and purpose Dose painting by numbers (DPBN) require a high degree of dose modulation to fulfill the image-based voxel wise dose prescription. The aim of this study was to assess the dosimetric accuracy of ...