Johanne Saxegaard (2022): Deep learning-based segmentation of brain metastases on multi-centre MR data T
Aram Salihi (2022): The usage of 2.5D UNet architectures and different preprocessing techniques for segmentation of multiple sclerosis
Fabian Bull (2021): Introducing an efficient approach for expressing uncertainty in deep learning
Martin Røvang (2021): Segmentation of white matter hyperintensities in magnetic resonance images
Mona Heggen (2021): An investigation of different interpretability methods used to evaluate a prediction from a CNN model
Andreas Bergem (2019): Detection and Tracking of Fish in Underwater Video (hovedveileder Jørn Bersvendsen)
Ole-Christian Schmidst Hagenes (2019): Comparison of structure tensors for direction and motion estimation in medical ultrasound (hovedveileder Sten Roar Snare, GE Vingmed)
Peter Ivarsen (2019): Visual Inertial Direct SLAM (hovedveileder Trym Haavardsholm, FFI)
Nirusan Thamaranthan (2019): Using time information to make a robust feature extraction and parameter estimation from unipennate muscles in B-mode ultrasound sequences
Sissel Fladby (2017): Automatic feature extraction and parameter estimation from unipennate muscles in B-mode ultrasound images (med Olivier Seynnes, NIH)
Johan Myre (2017): Autonom rørdeteksjon på havbunnen - Deteksjon av rørledninger i data fra multistråle-ekkolodd (med Øivind Midtgaard, FFI)
Frida Jalborg (2016): Automatic detection of skeletar muscle parameters (med Olivier Seynnes, NIH)
Ragnar Smestad (2014): Automatisk deteksjon av menneskeskapte objekter med optisk kamera fra autonome undervannsfarkoster (Hovedveileder Øivind Midtgaard, FFI)
Erik Solfjell (2013): Integrasjon av AIS-data i deteksjon av oljesøl i SAR-bilder
Gjermund Stensrud (2013): Automatic segmentation of mine-like objects in synthetic aperture sonar images
Rebekka Mørken Valdmanis (2013): Computation of curvature in seismic data