Kathinka Dæhli Kurz - researchr alias

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Viewing Publication 1 - 5 from 5

2023

Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion SegmentationLuca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer. isbi 2023: 1-5 [doi]

CT Perfusion is All we Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Acute Ischemic StrokeLuca Tomasetti, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Mahdieh Khanmohammadi. access, 11:138936-138953, 2023. [doi]

2022

Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connectionLuca Tomasetti, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz. nldl 2022: [doi]

Machine Learning Algorithms Versus Thresholding to Segment Ischemic Regions in Patients With Acute Ischemic StrokeLuca Tomasetti, Liv Jorunn Høllesli, Kjersti Engan, Kathinka Dæhli Kurz, Martin Wilhelm Kurz, Mahdieh Khanmohammadi. titb, 26(2):660-672, 2022. [doi]

2020

CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion ImagingLuca Tomasetti, Kjersti Engan, Mahdieh Khanmohammadi, Kathinka Dæhli Kurz. bcb 2020: [doi]

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