Blar i UiS Brage på forfatter "Khanmohammadi, Mahdieh"
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Automatic AI-Driven segmentation of Acute Ischemic Stroke Regions with CT Perfusion Images
Tomasetti, Luca (PhD thesis UiS;, Doctoral thesis, 2023)This thesis investigates artificial intelligence (AI) methodologies to automatically delineate ischemic areas of brain Computed Tomography Perfusion (CTP) scans acquired at hospital admission in patients suspected of acute ... -
Automatic Estimation of Coronary Blood Flow Velocity Step 1 for Developing a Tool to Diagnose Patients With Micro-Vascular Angina Pectoris
Khanmohammadi, Mahdieh; Sæland, Charlotte; Engan, Kjersti; Eftestøl, Trygve Christian; Larsen, Alf Inge (Journal article; Peer reviewed, 2019-01)Aim: Our aim was to automatically estimate the blood velocity in coronary arteries using cine X-ray angiographic sequence. Estimating the coronary blood velocity is a key approach in investigating patients with angina ... -
CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Acute Ischemic Stroke
Tomasetti, Luca; Engan, Kjersti; Høllesli, Liv Jorunn; Kurz, Kathinka Dæhli; Khanmohammadi, Mahdieh (Peer reviewed; Journal article, 2023)Stroke is the second leading cause of death worldwide, and around 87 % of strokes are ischemic strokes. Accurate and rapid prediction techniques for identifying ischemic regions, including dead tissue (core) and potentially ... -
Extracting coronary arteries in angiographic images
Moene, Alexander Kvale (Masteroppgave/UIS-TN-IDE/2017;, Master thesis, 2017-07-15)This master thesis has as propose to extract coronary arteries form angiographic video. With several stability issues with the easy to implement established functions in the time domain and other methods that is far too ... -
Machine learning algorithms vs. thresholding to segment ischemic regions in patients with acute ischemic stroke
Tomasetti, Luca; Høllesli, Liv Jorunn; Engan, Kjersti; Kurz, Kathinka Dæhli; Kurz, Martin Wilhelm; Khanmohammadi, Mahdieh (Peer reviewed; Journal article, 2021-07)Objective: Computed tomography (CT) scan is a fast and widely used modality for early assessment in patients with symptoms of a cerebral ischemic stroke. CT perfusion (CTP) is often added to the protocol and is used by ... -
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection
Tomasetti, Luca; Khanmohammadi, Mahdieh; Engan, Kjersti; Høllesli, Liv Jorunn; Kurz, Kathinka Dæhli (Peer reviewed; Journal article, 2022-03)Time is a fundamental factor during stroke treatments. A fast, automatic approach that segmentsthe ischemic regions helps treatment decisions. In clinical use today, a set of color-coded parametric maps generated from ... -
Synaptic Vesicle Detection in Microscopy Images using Convolutional Neural Network and Compressed Sensing
Tofteberg, Simen Walmestad (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06-15)In response to stressful situations, the body activates its sympathetic nervous system with the sudden release of hormones. This increases the presence of adrenaline and noradrenaline which improves muscle strength and ... -
Using vision transformer to synthesize computed tomography perfusion images in ischemic stroke patients
Christiansen, Carl Henrik Hovland; Vier, Ørjan (Master thesis, 2023)Computed tomography perfusion (CTP) imaging is crucial for diagnosing and determining the extent of damage in cerebral stroke patients [1]. Automatic segmentation of ischemic core and penumbra regions in CTP images is ...