9 citations · 27 across the 5 of their papers we have counts for
6 papers
Bi-temporal Image-driven Acute Stroke Evolution Analysis
Md Sazidur Rahman, Kjersti Engan, Kathinka Dæhli Kurz +1
Acute ischemic stroke requires rapid treatment decisions that are strongly guided by emergency imaging. Admission computed tomography perfusion (CTP) is commonly used to estimate t…
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…
CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Ischemic Stroke
Luca Tomasetti, Kjersti Engan, Liv Jorunn Høllesli +2
Precise and fast prediction methods for ischemic areas comprised of dead tissue, core, and salvageable tissue, penumbra, in acute ischemic stroke (AIS) patients are of significant…
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection
Luca Tomasetti, Mahdieh Khanmohammadi, Kjersti Engan +2
Time is a fundamental factor during stroke treatments. A fast, automatic approach that segments the ischemic regions helps treatment decisions. In clinical use today, a set of colo…
CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging
Luca Tomasetti, Kjersti Engan, Mahdieh Khanmohammadi +1
More than 13 million people suffer from ischemic cerebral stroke worldwide each year. Thrombolytic treatment can reduce brain damage but has a narrow treatment window. Computed Tom…
Towards optimal Takacs--Fiksel estimation
Jean-François Coeurjolly, Yongtao Guan, Mahdieh Khanmohammadi +1
The Takacs--Fiksel method is a general approach to estimate the parameters of a spatial Gibbs point process. This method embraces standard procedures such as the pseudolikelihood a…