Yngve Mardal Moe
Doctoral Research Fellow
-
Mechanics

Norwegian version of this page
Email
yngvemm@math.uio.no
Room
915
Username
Visiting address
Moltke Moes vei 35
Niels Henrik Abels hus
0851 Oslo
Postal address
Postboks 1053 Blindern
0316 Oslo
Other affiliations
Faculty of Mathematics and Natural Sciences
(Student)
Academic interests
- Biomechanics
- Fluid dynamics
- Data science and statistical learning
Courses taught
Background
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.
Publications
- 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
Published Sep. 18, 2020 2:00 PM
- Last modified Sep. 22, 2020 1:13 PM