Yngve Mardal Moe
- Fluid dynamics
- Data science and statistical learning
Having an undergraduate degree in applied mathematics from NMBU, I shifted my Master's degree towards computational biology with a focus on machine learning. Simultaneously, I completed extra modules in mathematics at the University of Oslo. Since then, I have worked at NMBU, researching methods for automatic delineation of tumours from medical images and teaching introductory and advanced courses in Python programming.
- Grøndahl, Aurora Rosvoll; Knudtsen, Ingerid Skjei; Mulstad, Martine; Tomic, Oliver; Moe, Yngve Mardal; Indahl, Ulf Geir; Torheim, Turid Katrine Gjerstad; Dale, Einar; Malinen, Eirik & Futsæther, Cecilia Marie (2019). Automatic tumour delineation of head and neck cancers in PET/CT images using thresholding and machine learning methods.
- Grøndahl, Aurora Rosvoll; Mulstad, Martine; Moe, Yngve Mardal; Knudtsen, Ingerid Skjei; Torheim, Turid Katrine Gjerstad; Tomic, Oliver; Indahl, Ulf Geir; Malinen, Eirik; Dale, Einar & Futsæther, Cecilia Marie (2019). Comparison of automatic tumour segmentation approaches for head and neck cancers in PET/CT images. Radiotherapy and Oncology. ISSN 0167-8140. 133, s 557- 557