Search Results for author: Liv Jorunn Høllesli

Found 3 papers, 3 papers with code

Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation

1 code implementation2 Mar 2023 Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer

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 mortality rate.

Few-Shot Learning Ischemic Stroke Lesion Segmentation +2

Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection

1 code implementation18 Mar 2022 Luca Tomasetti, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz

We propose an automatic method based on a neural network using a set of parametric maps to segment the two ischemic regions (core and penumbra) in patients affected by acute ischemic stroke.

Cannot find the paper you are looking for? You can Submit a new open access paper.