Browsing by Subject "magnetic resonance imaging"
Now showing items 1-20 of 22
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A multiparametric classification system for lesions detected by breast magnetic resonance imaging
(Elsevier BV, 2020)Background To validate a new categorisation scheme for suspicious breast lesions according to the well-defined Breast Imaging Reporting and Data System (BI-RADS) magnetic resonance imaging (MRI) lexicon descriptors, ...Tieteelliset aikakauslehtiartikkelit
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Association of grey/white contrast ratio in T1 weighted MRIs and cognition after a 2-year multidomain lifestyle intervention
(Itä-Suomen yliopisto; University of Eastern Finland, 2024)info:eu-repo/semantics/masterThesis
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Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks
(Springer International Publishing, 2019)Manual segmentation of rodent brain lesions from magnetic resonance images (MRIs) is an arduous, time-consuming and subjective task that is highly important in pre-clinical research. Several automatic methods have been ...Artikkelit tieteellisissä kokoomateoksissa
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Biomarkers For Epileptogenesis And Its Treatment
(Elsevier BV, 2020)There are no pharmacological interventions to prevent the development of epilepsy, although many promising compounds have been identified in the animal laboratory. Clinical trials to validate their effectiveness, however, ...Tieteelliset aikakauslehtiartikkelit
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Comparison of feature representations in MRI-based MCI-to-AD conversion prediction
(Elsevier BV, 2018)Alzheimer's disease (AD) is a progressive neurological disorder in which the death of brain cells causes memory loss and cognitive decline. The identification of at-risk subjects yet showing no dementia symptoms but who ...Tieteelliset aikakauslehtiartikkelit
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Early increase in cortical T2 relaxation is a prognostic biomarker for the evolution of severe cortical damage, but not for epileptogenesis, after experimental traumatic brain injury
(Mary Ann Liebert Inc, 2020)Prognostic biomarkers for post-injury outcome are necessary for the development of neuroprotective and antiepileptogenic treatments for traumatic brain injury (TBI). We hypothesized that T2 relaxation magnetic resonance ...Tieteelliset aikakauslehtiartikkelit
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Epilepsy biomarkers - Toward etiology and pathology specificity
(Elsevier BV, 2019)A biomarker is a characteristic that is measured as an indicator of normal biologic processes, pathogenic processes, or responses to an exposure or intervention, including therapeutic interventions. Biomarker modalities ...Tieteelliset aikakauslehtiartikkelit
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Epiphyseal Cartilage Canal Architecture and Extracellular Matrix Remodeling in Mucopolysaccharidosis VII Dogs at the Onset of Postnatal Growth
(Informa UK Limited, 2021)Purpose: Mucopolysaccharidosis (MPS) VII is a genetic, lysosomal storage disease characterized by abnormal accumulation of glycosaminoglycans in cells and tissues. MPS VII patients exhibit multiple failures of endochondral ...Tieteelliset aikakauslehtiartikkelit
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FLAIR and ADC Image-Based Radiomics Features as Predictive Biomarkers of Unfavorable Outcome in Patients With Acute Ischemic Stroke
(Frontiers Media SA, 2021)At present, it is still challenging to predict the clinical outcome of acute ischemic stroke (AIS). In this retrospective study, we explored whether radiomics features extracted from fluid-attenuated inversion recovery ...Tieteelliset aikakauslehtiartikkelit
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Identification of locations susceptible to osteoarthritis in patients with anterior cruciate ligament reconstruction: Combining knee joint computational modelling with follow-up T1p and T2 imaging
(Elsevier Ltd, 2019)Background Finite element modelling can be used to evaluate altered loading conditions and failure locations in knee joint tissues. One limitation of this modelling approach has been experimental comparison. The aims of ...article
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Minimum-Norm Estimation of TMS-Activated Motor Cortical Sites in Realistic Head and Brain Geometry
(IEEE, 2022)Navigated transcranial magnetic stimulation (nTMS) is a widely used tool for motor cortex mapping. However, the full details of the activated cortical area during the mapping remain unknown due to the spread of the stimulating ...
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MRI- ja CT-KUVAUKSESSA MÄÄRITETTY LUUTUUMORIEN REUNAN ANALYYSIIN PERUSTUVAN MALIGNITEETTIARVION DIAGNOSTINEN OSUVUUS
(Itä-Suomen yliopisto; University of Eastern Finland, 2022)info:eu-repo/semantics/masterThesis
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A Multi-Cohort Study of ApoE e4 and Amyloid-ß Effects on the Hippocampus in Alzheimer's Disease
(IOS Press, 2017)The apolipoprotein E (APOE) gene has been consistently shown to modulate the risk of Alzheimer’s disease (AD). Here, using an AD and normal aging dataset primarily consisting of three AD multi-center studies (n = 1,781), ...info:eu-repo/semantics/article
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Munasarjamuutosten magneettikuvantaminen
(Itä-Suomen yliopisto; University of Eastern Finland, 2022)info:eu-repo/semantics/masterThesis
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Predicting Intelligence Based on Cortical WM/GM Contrast, Cortical Thickness and Volumetry
(Springer International Publishing, 2019)We propose a four-layer fully-connected neural network (FNN) for predicting fluid intelligence scores from T1-weighted MR images for the ABCD-challenge. In addition to the volumes of brain structures, the FNN uses cortical ...Artikkelit tieteellisissä kokoomateoksissa
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Predicting Knee Osteoarthritis severity by using Machine learning: Data from the Osteoarthritis Initiative
(Itä-Suomen yliopisto; University of Eastern Finland, 2023)info:eu-repo/semantics/masterThesis
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Prognostic Value of Preoperative Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Epithelial Ovarian Cancer
(Elsevier BV, 2019)Objectives To investigate whether semi-quantitative and pharmacokinetic perfusion dynamic contrast-enhanced (DCE) parameters are associated with traditional prognostic factors and can predict clinical outcome in ovarian ...Tieteelliset aikakauslehtiartikkelit
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Quantitative Longitudinal Predictions of Alzheimer's Disease by Multi-Modal Predictive Learning
(IOS Press, 2021)Background: Quantitatively predicting the progression of Alzheimer’s disease (AD) in an individual on a continuous scale, such as the Alzheimer’s Disease Assessment Scale-cognitive (ADAS-cog) scores, is informative for a ...Tieteelliset aikakauslehtiartikkelit
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RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion Segmentation
(Frontiers Media SA, 2020)We present a fully convolutional neural network (ConvNet), named RatLesNetv2, for segmenting lesions in rodent magnetic resonance (MR) brain images. RatLesNetv2 architecture resembles an autoencoder and it incorporates ...Tieteelliset aikakauslehtiartikkelit
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Sikiön magneettikuvantamisen indikaatiot ja löydökset
(Itä-Suomen yliopisto; University of Eastern Finland, 2023)info:eu-repo/semantics/masterThesis
