AIMC Topic: Brain

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Deep Learning for Perfusion Cerebral Blood Flow (CBF) and Volume (CBV) Predictions and Diagnostics.

Annals of biomedical engineering Feb 24, 2024
Dynamic susceptibility contrast magnetic resonance perfusion (DSC-MRP) is a non-invasive imaging technique for hemodynamic measurements. Various perfusion parameters, such as cerebral blood volume (CBV) and cerebral blood flow (CBF), can be derived f...
Humans Female Adult Magnetic Resonance Imaging Brain Cerebrovascular Circulation Cerebral Blood Volume Male Deep Learning
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Brain is also time: good short-term outcome predictions of artificial intelligence in spontaneous intracerebral hemorrhage pave the way for the long-term assessment.

European radiology Feb 23, 2024
Humans Prognosis Artificial Intelligence Brain Cerebral Hemorrhage
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TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance.

Medical image analysis Feb 23, 2024
We propose a geometric deep-learning-based framework, TractGeoNet, for performing regression using diffusion magnetic resonance imaging (dMRI) tractography and associated pointwise tissue microstructure measurements. By employing a point cloud repres...
Language Humans Young Adult Diffusion Magnetic Resonance Imaging Brain Deep Learning Neural Pathways White Matter Connectome
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Mode combinability: Exploring convex combinations of permutation aligned models.

Neural networks : the official journal of the International Neural Network Society Feb 23, 2024
We explore element-wise convex combinations of two permutation-aligned neural network parameter vectors Θ and Θ of size d. We conduct extensive experiments by examining various distributions of such model combinations parametrized by elements of the ...
Neurons Neural Pathways Brain Magnetic Resonance Imaging Neural Networks, Computer
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Predicting the impact of CPAP on brain health: A study using the sleep EEG-derived brain age index.

Annals of clinical and translational neurology Feb 23, 2024
OBJECTIVE: This longitudinal study investigated potential positive impact of CPAP treatment on brain health in individuals with obstructive sleep Apnea (OSA). To allow this, we aimed to employ sleep electroencephalogram (EEG)-derived brain age index ...
Sleep Apnea, Obstructive Polysomnography Continuous Positive Airway Pressure Longitudinal Studies Electroencephalography Aged Adult Aging Middle Aged Male Brain Retrospective Studies Female Humans Machine Learning
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Synthetic biological neural networks: From current implementations to future perspectives.

Bio Systems Feb 23, 2024
Artificial neural networks, inspired by the biological networks of the human brain, have become game-changing computing models in modern computer science. Inspired by their wide scope of applications, synthetic biology strives to create their biologi...
Synthetic Biology Neural Networks, Computer Humans Brain Biomimetics
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A novel deep learning-based method for automatic stereology of microglia cells from low magnification images.

Neurotoxicology and teratology Feb 23, 2024
Microglial cells mediate diverse homeostatic, inflammatory, and immune processes during normal development and in response to cytotoxic challenges. During these functional activities, microglial cells undergo distinct numerical and morphological chan...
Cell Count Deep Learning Brain Humans Mice Animals Microglia
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Stop moving: MR motion correction as an opportunity for artificial intelligence.

Magma (New York, N.Y.) Feb 22, 2024
Subject motion is a long-standing problem of magnetic resonance imaging (MRI), which can seriously deteriorate the image quality. Various prospective and retrospective methods have been proposed for MRI motion correction, among which deep learning ap...
Artificial Intelligence Algorithms Brain Humans Neural Networks, Computer Movement Magnetic Resonance Imaging Motion Artifacts Deep Learning Image Processing, Computer-Assisted
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Deep learning-based, fully automated, pediatric brain segmentation.

Scientific reports Feb 22, 2024
The purpose of this study was to demonstrate the performance of a fully automated, deep learning-based brain segmentation (DLS) method in healthy controls and in patients with neurodevelopmental disorders, SCN1A mutation, under eleven. The whole, cor...
Humans Software Image Processing, Computer-Assisted Magnetic Resonance Imaging Hippocampus Deep Learning Child Brain
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Increased brain fractional perfusion in obesity using intravoxel incoherent motion (IVIM) MRI metrics.

Obesity (Silver Spring, Md.) Feb 21, 2024
OBJECTIVE: This research seeks to shed light on the associations between brain perfusion, cognitive function, and mental health in individuals with and without obesity.
Diffusion Magnetic Resonance Imaging Obesity Perfusion Brain Humans Magnetic Resonance Imaging Artificial Intelligence
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