Yngve Mardal Moe

Doctoral Research Fellow - Mechanics
Image of Yngve Mardal Moe
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.

Tags: Scientific computing, Biomechanics, Machine learning, Computational medicine

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

View all works in Cristin

Published Sep. 18, 2020 2:00 PM - Last modified Sep. 22, 2020 1:13 PM

Research groups