AIMC Topic: Brain

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Accurate staging of chick embryonic tissues via deep learning of salient features.

Development (Cambridge, England) Nov 16, 2023
Recent work shows that the developmental potential of progenitor cells in the HH10 chick brain changes rapidly, accompanied by subtle changes in morphology. This demands increased temporal resolution for studies of the brain at this stage, necessitat...
Neural Networks, Computer Deep Learning Microscopy Wings, Animal Brain Animals
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Generating meaning: active inference and the scope and limits of passive AI.

Trends in cognitive sciences Nov 15, 2023
Prominent accounts of sentient behavior depict brains as generative models of organismic interaction with the world, evincing intriguing similarities with current advances in generative artificial intelligence (AI). However, because they contend with...
Brain Learning Humans Artificial Intelligence
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Brain age predicted using graph convolutional neural network explains neurodevelopmental trajectory in preterm neonates.

European radiology Nov 14, 2023
OBJECTIVES: Dramatic brain morphological changes occur throughout the third trimester of gestation. In this study, we investigated whether the predicted brain age (PBA) derived from graph convolutional network (GCN) that accounts for cortical morphom...
Infant, Premature Humans Gestational Age Male Neural Networks, Computer Brain Neurodevelopmental Disorders Female Magnetic Resonance Imaging Infant, Newborn
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Glioblastoma and Solitary Brain Metastasis: Differentiation by Integrating Demographic-MRI and Deep-Learning Radiomics Signatures.

Journal of magnetic resonance imaging : JMRI Nov 13, 2023
BACKGROUND: Studies have shown that deep-learning radiomics (DLR) could help differentiate glioblastoma (GBM) from solitary brain metastasis (SBM), but whether integrating demographic-MRI and DLR features can more accurately distinguish GBM from SBM ...
Diagnosis, Differential Glioblastoma Brain Retrospective Studies Humans Male Adult Nomograms Female Middle Aged Radiomics Magnetic Resonance Imaging Aged Deep Learning Brain Neoplasms
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Study of multistep Dense U-Net-based automatic segmentation for head MRI scans.

Medical physics Nov 13, 2023
BACKGROUND: Despite extensive efforts to obtain accurate segmentation of magnetic resonance imaging (MRI) scans of a head, it remains challenging primarily due to variations in intensity distribution, which depend on the equipment and parameters used...
Magnetic Resonance Imaging Scalp Neural Networks, Computer Brain Image Processing, Computer-Assisted
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Utilizing deep learning via the 3D U-net neural network for the delineation of brain stroke lesions in MRI image.

Scientific reports Nov 13, 2023
The segmentation of acute stroke lesions plays a vital role in healthcare by assisting doctors in making prompt and well-informed treatment choices. Although Magnetic Resonance Imaging (MRI) is a time-intensive procedure, it produces high-fidelity im...
Magnetic Resonance Imaging Stroke Brain Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer
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Space-CNN: a decision classification method based on EEG signals from different brain regions.

Medical & biological engineering & computing Nov 12, 2023
Decision-making plays a critical role in an individual's interpersonal interactions and cognitive processes. Due to the issue of strong subjectivity in the classification research of art design decisions, we utilize the relatively objective electroen...
Algorithms Brain Wavelet Analysis Occipital Lobe Electroencephalography Humans Neural Networks, Computer
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Architecture of the brain's visual system enhances network stability and performance through layers, delays, and feedback.

PLoS computational biology Nov 10, 2023
In the visual system of primates, image information propagates across successive cortical areas, and there is also local feedback within an area and long-range feedback across areas. Recent findings suggest that the resulting temporal dynamics of neu...
Feedback Animals Neurons Neural Networks, Computer Brain Primates
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Voxel-based morphometry in single subjects without a scanner-specific normal database using a convolutional neural network.

European radiology Nov 9, 2023
OBJECTIVES: Reliable detection of disease-specific atrophy in individual T1w-MRI by voxel-based morphometry (VBM) requires scanner-specific normal databases (NDB), which often are not available. The aim of this retrospective study was to design, trai...
Atrophy Magnetic Resonance Imaging Neural Networks, Computer Retrospective Studies Frontotemporal Lobar Degeneration Alzheimer Disease Male Humans Databases, Factual Female Aged Middle Aged Brain
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Accurate classification of major brain cell types using in vivo imaging and neural network processing.

PLoS biology Nov 9, 2023
Comprehensive analysis of tissue cell type composition using microscopic techniques has primarily been confined to ex vivo approaches. Here, we introduce NuCLear (Nucleus-instructed tissue composition using deep learning), an approach combining in vi...
Brain Animals Mice Neural Networks, Computer Diagnostic Imaging
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