Browsing UiS Brage by Author "Esmaeili, Morteza"
Now showing items 1-12 of 12
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Analyzing Magnetic Resonance Spectroscopy Data
Gencher, Johan Levent (Bachelor thesis, 2023)Magnetic resonance (MR) spectroscopy (MRS) modalities provide non-invasive and non-ionization in vivo imaging tools for preclinical and clinical examinations. Brain examinations’ standard clinical MR protocols comprise ... -
Assessing Preprocessing Methods and Software Tools for Functional Connectivity Analysis
Cappelen, Casper; Mahesan, Niluja (Master thesis, 2023)This thesis presents an introductory exploration of the neuroimaging field, focusing on volume-based analysis using functional connectivity. By studying resting state data using the Power et al. atlas, the research aims ... -
Brain Tumor Segmentation and Classification Using Neural Networks
Takvam, Sander (Master thesis, 2022)Magnetic Resonance Imaging (MRI) is widely used in the diagnostic and treatment evaluation of brain tumors. Segmentation is a critical step of the tumor assessment, which usually is a time-consuming task by conventional ... -
Data Processing of Functional Magnetic Resonance Images of the Human Brain
Øzdemir, Ahmed Burhan (Bachelor thesis, 2023)Study of the brain’s neural network architecture and function is complex yet fascinating. Among the state-of-the-art approaches to detecting and obtaining functional data from the brain, magnetic resonance imaging (MRI) ... -
Distinguishing glioblastoma progression from treatment-related changes using DTI directionality growth analysis
van den Elshout, R.; Ariëns, B.; Esmaeili, Morteza; Akkurt, B.; Mannil, M.; Meijer, F.J.A.; van der Kolk, der; Scheenen, T.W.J.; Henssen, D. (Peer reviewed; Journal article, 2024)Background It is difficult to distinguish between tumor progression (TP) and treatment-related abnormalities (TRA) in treated glioblastoma patients via conventional MRI, but this distinction is crucial for treatment ... -
Explainable artificial intelligence for human-machine interaction in brain tumor localization
Esmaeili, Morteza; Vettukattil, Riyas; Banitalebi, Hasan; Krogh, Nina R.; Geitung, Jonn Terje (Peer reviewed; Journal article, 2021)Primary malignancies in adult brains are globally fatal. Computer vision, especially recent developments in artificial intelligence (AI), have created opportunities to automatically characterize and diagnose tumor lesions ... -
In Vivo Magnetic Resonance Spectroscopy Methods for Investigating Cardiac Metabolism
Esmaeili, Morteza; Vettukattil, Muhammad Riyas (Peer reviewed; Journal article, 2022)Magnetic resonance spectroscopy (MRS) is a non-invasive and non-ionizing technique, enabling in vivo investigation of cardiac metabolism in normal and diseased hearts. In vivo measurement tools are critical for studying ... -
Magnetic Resonance: Simulating Spin Magnetization
Holst-Larsen, Einar (Bachelor thesis, 2022)Magnetic resonance (MR) imaging modalities provide non-invasive and non-harmful in vivo imaging tools for clinical investigations. The standard clinical MR protocols used in brain examinations comprise several anatomical ... -
Magnetisk Resonansspektroskopi Dataanalyse
Baardsen, Ronny; Bråtveit, Ole Christian (Bachelor thesis, 2024) -
Magnetisk Resonansspektroskopi Dataanalyse
Baardsen, Ronny; Bråtveit, Ole Christin (Bachelor thesis, 2024) -
Quantification of perineural satellitosis in pretreatment glioblastoma with structural MRI and a diffusion tensor imaging template
van den Elshout, Rik; Ariëns, Benthe; Blaauboer, Joost; Meijer, Frederick J A; van der Kolk, Anja G; Esmaeili, Morteza; Scheenen, Tom W J; Henssen, Dylan J H A (Peer reviewed; Journal article, 2023)Background Survival outcomes for glioblastoma (GBM) patients remain unfavorable, and tumor recurrence is often observed. Understanding the radiological growth patterns of GBM could aid in improving outcomes. This study ... -
Tilpasning av MR-teknologi for pediatrisk avbildning
Sørbø, Live.; Fredriksen, Lie Victoria. (Bachelor thesis, 2024)