AIMC Topic: Brain

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Analysis of Cerebral CT Based on Supervised Machine Learning as a Predictor of Outcome After Out-of-Hospital Cardiac Arrest.

Neurology Jun 10, 2024
BACKGROUND AND OBJECTIVES: In light of limited intensive care capacities and a lack of accurate prognostic tools to advise caregivers and family members responsibly, this study aims to determine whether automated cerebral CT (CCT) analysis allows pro...
Humans Brain Prognosis Male Retrospective Studies Gray Matter Middle Aged Out-of-Hospital Cardiac Arrest Cohort Studies Tomography, X-Ray Computed Supervised Machine Learning Female Aged
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Recovering high-quality fiber orientation distributions from a reduced number of diffusion-weighted images using a model-driven deep learning architecture.

Magnetic resonance in medicine Jun 9, 2024
PURPOSE: The aim of this study was to develop a model-based deep learning architecture to accurately reconstruct fiber orientation distributions (FODs) from a reduced number of diffusion-weighted images (DWIs), facilitating accurate analysis with red...
Connectome Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Algorithms Brain Deep Learning Image Processing, Computer-Assisted Humans
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Enhanced parameter estimation in multiparametric arterial spin labeling using artificial neural networks.

Magnetic resonance in medicine Jun 9, 2024
PURPOSE: Multiparametric arterial spin labeling (MP-ASL) can quantify cerebral blood flow (CBF) and arterial cerebral blood volume (CBV). However, its accuracy is compromised owing to its intrinsically low SNR, necessitating complex and time-consumin...
Humans Magnetic Resonance Imaging Neural Networks, Computer Signal-To-Noise Ratio Spin Labels Algorithms Cerebrovascular Circulation Young Adult Breath Holding Brain Adult Computer Simulation Cerebral Blood Volume Male Female Image Processing, Computer-Assisted Reproducibility of Results
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An end-to-end multi-task motor imagery EEG classification neural network based on dynamic fusion of spectral-temporal features.

Computers in biology and medicine Jun 8, 2024
Electroencephalograph (EEG) brain-computer interfaces (BCI) have potential to provide new paradigms for controlling computers and devices. The accuracy of brain pattern classification in EEG BCI is directly affected by the quality of features extract...
Signal Processing, Computer-Assisted Humans Brain-Computer Interfaces Neural Networks, Computer Imagination Brain Electroencephalography
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Bayesian Tensor Modeling for Image-based Classification of Alzheimer's Disease.

Neuroinformatics Jun 7, 2024
Tensor-based representations are being increasingly used to represent complex data types such as imaging data, due to their appealing properties such as dimension reduction and the preservation of spatial information. Recently, there is a growing lit...
Humans Brain Female Magnetic Resonance Imaging Aged Bayes Theorem Male Support Vector Machine Alzheimer Disease Diffusion Tensor Imaging
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Gray matters: ViT-GAN framework for identifying schizophrenia biomarkers linking structural MRI and functional network connectivity.

NeuroImage Jun 7, 2024
Brain disorders are often associated with changes in brain structure and function, where functional changes may be due to underlying structural variations. Gray matter (GM) volume segmentation from 3D structural MRI offers vital structural informatio...
Magnetic Resonance Imaging Adult Schizophrenia Male Humans Gray Matter Deep Learning Biomarkers Nerve Net Image Processing, Computer-Assisted Brain Female
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Artificial Intelligence for Automatic Analysis of Shunt Treatment in Presurgery and Postsurgery Computed Tomography Brain Scans of Patients With Idiopathic Normal Pressure Hydrocephalus.

Neurosurgery Jun 6, 2024
BACKGROUND AND OBJECTIVES: Ventriculo-peritoneal shunt procedures can improve idiopathic normal pressure hydrocephalus (iNPH) symptoms. However, there are no automated methods that quantify the presurgery and postsurgery changes in the ventricular vo...
Brain Tomography, X-Ray Computed Female Aged Humans Artificial Intelligence Treatment Outcome Cerebral Ventricles Ventriculoperitoneal Shunt Hydrocephalus, Normal Pressure Aged, 80 and over Male Middle Aged
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Deep learning-based low-dose CT simulator for non-linear reconstruction methods.

Medical physics Jun 6, 2024
BACKGROUND: Computer algorithms that simulate lower-doses computed tomography (CT) images from clinical-dose images are widely available. However, most operate in the projection domain and assume access to the reconstruction method. Access to commerc...
Signal-To-Noise Ratio Humans Deep Learning Brain Image Processing, Computer-Assisted Tomography, X-Ray Computed Nonlinear Dynamics Radiation Dosage
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Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry.

NeuroImage Jun 6, 2024
The perspective of personalized medicine for brain disorders requires efficient learning models for anatomical neuroimaging-based prediction of clinical conditions. There is now a consensus on the benefit of deep learning (DL) in addressing many medi...
Young Adult Adult Male Middle Aged Brain Psychiatry Female Neuroimaging Deep Learning Bipolar Disorder Schizophrenia Humans Machine Learning Autism Spectrum Disorder
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Causal Forest Machine Learning Analysis of Parkinson's Disease in Resting-State Functional Magnetic Resonance Imaging.

Tomography (Ann Arbor, Mich.) Jun 6, 2024
In recent years, Artificial Intelligence has been used to assist healthcare professionals in detecting and diagnosing neurodegenerative diseases. In this study, we propose a methodology to analyze functional Magnetic Resonance Imaging signals and per...
Middle Aged Magnetic Resonance Imaging Parkinson Disease Humans Brain Machine Learning Female Algorithms Aged Male
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