Exploració per tema "Brain -- Magnetic resonance imaging"
Ara es mostren els items 1-10 de 10
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Brain structural alterations in cognitively unimpaired individuals with discordant amyloid-ß PET and CSF Aß42 status: findings using machine learning
(Wiley, 2021-12)
Article
Accés obertBackground: CSF Aß42 is thought to show AD-related alterations earlier than amyloid-ß PET. Therefore, cognitively unimpaired (CU) individuals with abnormal CSF Aß42 and normal amyloid-ß PET are believed to be in the ... -
Functional connectivity of brain networks with three monochromatic wavelengths: a pilot study using resting-state functional magnetic resonance imaging
(Nature, 2022-09-28)
Article
Accés obertExposure to certain monochromatic wavelengths can affect non-visual brain regions. Growing research indicates that exposure to light can have a positive impact on health-related problems such as spring asthenia, circadian ... -
Machine learning on combined neuroimaging and plasma biomarkers for triaging participants of secondary prevention trials in Alzheimer’s disease
(Wiley, 2021-12)
Article
Accés obertBackground: Plasma biomarkers have demonstrated excellent agreement with established markers of amyloid-ß (Aß) positivity (PET and CSF) to identify patients with symptomatic AD. However, their predictive capacity in ... -
Mapping the neural systems driving breathing at the transition to unconsciousness
(Elsevier, 2022-02-01)
Article
Accés obertAfter falling asleep, the brain needs to detach from waking activity and reorganize into a functionally distinct state. A functional MRI (fMRI) study has recently revealed that the transition to unconsciousness induced by ... -
MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures
(Springer Nature, 2021)
Capítol de llibre
Accés obertAutomation of brain tumor segmentation in 3D magnetic resonance images (MRIs) is key to assess the diagnostic and treatment of the disease. In recent years, convolutional neural networks (CNNs) have shown improved results ... -
Prediction of amyloid pathology in cognitively unimpaired individuals using structural MRI
(Wiley, 2021-12)
Article
Accés obertBackground: Structural MRI measurements can contribute to the prediction of amyloid pathology in cognitively unimpaired (CU) individuals. In this work, we aimed at studying the predictive capacity, robustness, and ... -
Standardized assessment of automatic segmentation of white matter hyperintensities; results of the WMH segmentation challenge
(2019-03)
Article
Accés obertQuantification of white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Advanced measurements are obtained from manual segmentations on brain MR images, ... -
Structural networks for brain age prediction
(ML Research Press, 2022)
Text en actes de congrés
Accés obertBiological networks have gained considerable attention within the Deep Learning community because of the promising framework of Graph Neural Networks (GNN), neural models that operate in complex networks. In the context ... -
Técnicas de clasificación para el diagnóstico precoz de la enfermedad de Alzheimer
(Universitat Politècnica de Catalunya, 2015-07)
Projecte/Treball Final de Carrera
Accés obert[ANGLÈS] Alzheimer’s disease currently affects more than 36 million people in the world. A patient’s brain suffers changes during the earliest stages of the disease and long before showing any clinical symptoms. For that ... -
Using single-voxel magnetic resonance spectroscopy data acquired at 1.5T to classify multivoxel data at 3T: a proof-of-concept study
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-07-01)
Article
Accés obertIn vivo magnetic resonance spectroscopy (MRS) has two modalities, single-voxel (SV) and multivoxel (MV), in which one or more contiguous grids of SVs are acquired. Purpose: To test whether MV grids can be classified with ...