33 citations
- UiT The Arctic University of NorwayNO32 papers
- KTH Royal Institute of TechnologySE5 papers
- Br. Birkeland (Norway)NO4 papers
- Norwegian Computing CenterNO4 papers
- University of BergenNO4 papers
- Aalto UniversityFI3 papers
- Ghent UniversityBE2 papers
- Ghent University HospitalBE2 papers
- HOGENT University of Applied Sciences and ArtsBE2 papers
- Karolinska InstitutetSE2 papers
- Korea Astronomy and Space Science InstituteKR2 papers
- Korea University of Science and TechnologyKR2 papers
8 papers · 1 filter
View it like a radiologist: Shifted windows for deep learning augmentation of CT images
Eirik A. Østmo, Kristoffer K. Wickstrøm, Keyur Radiya +2
Deep learning has the potential to revolutionize medical practice by automating and performing important tasks like detecting and delineating the size and locations of cancers in m…
Approaching adverse event detection utilizing transformers on clinical time-series
Helge Fredriksen, Per Joel Burman, Ashenafi Woldaregay +2
Patients being admitted to a hospital will most often be associated with a certain clinical development during their stay. However, there is always a risk of patients being subject…
Divertor shaping with neutral baffling as a solution to the tokamak power exhaust challenge
K. Verhaegh, J. R. Harrison, D. Moulton +20
Exhausting power from the hot fusion core to the plasma-facing components is one of the biggest challenges in fusion energy. The MAST Upgrade tokamak uniquely integrates strong con…
On 3-nondegenerate CR manifolds in dimension 7 (II): the intransitive case
Boris Kruglikov, Andrea Santi
We investigate 3-nondegenerate CR structures in the lowest possible dimension 7 and show that 8 is the maximal dimension for the Lie algebra of symmetries of such structures. The n…
Observability estimates for the Schr{ö}dinger equation in the plane with periodic bounded potentials from measurable sets
Kévin Le Balc'H, Jérémy Martin
The goal of this article is to obtain observability estimates for Schr{ö}dinger equations in the plane R 2. More precisely, considering a 2Z 2-periodic potential V L $\inf…
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation
Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi +4
Precise ischemic lesion segmentation plays an essential role in improving diagnosis and treatment planning for ischemic stroke, one of the prevalent diseases with the highest morta…