AIMC Topic: Brain

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The Neuroscience of Human and Artificial Intelligence Presence.

Annual review of psychology Oct 31, 2023
Two decades of social neuroscience and neuroeconomics research illustrate the brain mechanisms that are engaged when people consider human beings, often in comparison to considering artificial intelligence (AI) as a nonhuman control. AI as an experim...
Brain Cognition Cognitive Neuroscience Humans Social Cognition Artificial Intelligence
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Decoding fMRI data with support vector machines and deep neural networks.

Journal of neuroscience methods Oct 31, 2023
BACKGROUND: Multivoxel pattern analysis (MVPA) examines fMRI activation patterns associated with different cognitive conditions. Support vector machines (SVMs) are the predominant method in MVPA. While SVM is intuitive and easy to apply, it is mainly...
Brain Support Vector Machine Humans Neural Networks, Computer Magnetic Resonance Imaging Neuroimaging
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"A net for everyone": fully personalized and unsupervised neural networks trained with longitudinal data from a single patient.

BMC medical imaging Oct 31, 2023
BACKGROUND: With the rise in importance of personalized medicine and deep learning, we combine the two to create personalized neural networks. The aim of the study is to show a proof of concept that data from just one patient can be used to train dee...
Brain Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Neural Networks, Computer Glioblastoma
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Deep learning-based grading of white matter hyperintensities enables identification of potential markers in multi-sequence MRI data.

Computer methods and programs in biomedicine Oct 30, 2023
BACKGROUND: White matter hyperintensities (WMHs) are widely-seen in the aging population, which are associated with cerebrovascular risk factors and age-related cognitive decline. At present, structural atrophy and functional alterations coexisted wi...
Deep Learning Magnetic Resonance Imaging Brain Humans White Matter Aged Diffusion Magnetic Resonance Imaging
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Predicting mortality in brain stroke patients using neural networks: outcomes analysis in a longitudinal study.

Scientific reports Oct 28, 2023
In this study, Neural Networks (NN) modelling has emerged as a promising tool for predicting outcomes in patients with Brain Stroke (BS) by identifying key risk factors. In this longitudinal study, we enrolled 332 patients form Imam hospital in Ardab...
Male Longitudinal Studies Stroke Female Aged Algorithms Humans Brain Neural Networks, Computer
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A Survey of Publicly Available MRI Datasets for Potential Use in Artificial Intelligence Research.

Journal of magnetic resonance imaging : JMRI Oct 27, 2023
Artificial intelligence (AI) has the potential to bring transformative improvements to the field of radiology; yet, there are barriers to widespread clinical adoption. One of the most important barriers has been access to large, well-annotated, widel...
Radiology Humans Artificial Intelligence Brain Magnetic Resonance Imaging
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Deep learning in mesoscale brain image analysis: A review.

Computers in biology and medicine Oct 27, 2023
Mesoscale microscopy images of the brain contain a wealth of information which can help us understand the working mechanisms of the brain. However, it is a challenging task to process and analyze these data because of the large size of the images, th...
Image Processing, Computer-Assisted Microscopy Brain Deep Learning Algorithms
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How deep is the brain? The shallow brain hypothesis.

Nature reviews. Neuroscience Oct 27, 2023
Deep learning and predictive coding architectures commonly assume that inference in neural networks is hierarchical. However, largely neglected in deep learning and predictive coding architectures is the neurobiological evidence that all hierarchical...
Humans Animals Neural Networks, Computer Mammals Brain
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A transformer-based multi-task deep learning model for simultaneous infiltrated brain area identification and segmentation of gliomas.

Cancer imaging : the official publication of the International Cancer Imaging Society Oct 27, 2023
BACKGROUND: The anatomical infiltrated brain area and the boundaries of gliomas have a significant impact on clinical decision making and available treatment options. Identifying glioma-infiltrated brain areas and delineating the tumor manually is a ...
Retrospective Studies Brain Neoplasms Humans Brain Magnetic Resonance Imaging Deep Learning Area Under Curve Glioma
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Analysis of intracranial pressure pulse waveform in studies on cerebrospinal compliance: a narrative review.

Physiological measurement Oct 27, 2023
Continuous monitoring of mean intracranial pressure (ICP) has been an essential part of neurocritical care for more than half a century. Cerebrospinal pressure-volume compensation, i.e. the ability of the cerebrospinal system to buffer changes in vol...
Intracranial Pressure Blood Pressure Heart Rate Humans Artificial Intelligence Brain
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