AIMC Topic: Brain

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Modeling High-Order Relationships: Brain-Inspired Hypergraph-Induced Multimodal-Multitask Framework for Semantic Comprehension.

IEEE transactions on neural networks and learning systems Sep 3, 2024
Semantic comprehension aims to reasonably reproduce people's real intentions or thoughts, e.g., sentiment, humor, sarcasm, motivation, and offensiveness, from multiple modalities. It can be instantiated as a multimodal-oriented multitask classificati...
Brain Cognition Semantics Comprehension Humans Neural Networks, Computer Algorithms
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Automated MRI-based segmentation of intracranial arterial calcification by restricting feature complexity.

Magnetic resonance in medicine Sep 2, 2024
PURPOSE: To develop an automated deep learning model for MRI-based segmentation and detection of intracranial arterial calcification.
Aged Adult Male Middle Aged Algorithms Brain Female Image Interpretation, Computer-Assisted Vascular Calcification Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans
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The Quest for an Integrated Set of Neural Mechanisms Underlying Object Recognition in Primates.

Annual review of vision science Sep 2, 2024
Inferences made about objects via vision, such as rapid and accurate categorization, are core to primate cognition despite the algorithmic challenge posed by varying viewpoints and scenes. Until recently, the brain mechanisms that support these capab...
Pattern Recognition, Visual Recognition, Psychology Primates Visual Pathways Artificial Intelligence Humans Brain Neural Networks, Computer Animals
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Three contrasts in 3 min: Rapid, high-resolution, and bone-selective UTE MRI for craniofacial imaging with automated deep-learning skull segmentation.

Magnetic resonance in medicine Sep 1, 2024
PURPOSE: Ultrashort echo time (UTE) MRI can be a radiation-free alternative to CT for craniofacial imaging of pediatric patients. However, unlike CT, bone-specific MR imaging is limited by long scan times, relatively low spatial resolution, and a tim...
Humans Algorithms Adolescent Child Image Processing, Computer-Assisted Brain Young Adult Magnetic Resonance Imaging Tomography, X-Ray Computed Adult Skull Female Male Deep Learning
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Enhancing facial feature de-identification in multiframe brain images: A generative adversarial network approach.

Progress in brain research Aug 31, 2024
The collection of head images for public datasets in the field of brain science has grown remarkably in recent years, underscoring the need for robust de-identification methods to adhere with privacy regulations. This paper elucidates a novel deep le...
Tomography, X-Ray Computed Magnetic Resonance Imaging Humans Deep Learning Neural Networks, Computer Face Image Processing, Computer-Assisted Brain
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Deep learning for efficient reconstruction of highly accelerated 3D FLAIR MRI in neurological deficits.

Magma (New York, N.Y.) Aug 30, 2024
OBJECTIVE: To compare compressed sensing (CS) and the Cascades of Independently Recurrent Inference Machines (CIRIM) with respect to image quality and reconstruction times when 12-fold accelerated scans of patients with neurological deficits are reco...
Deep Learning Adolescent Child, Preschool Image Processing, Computer-Assisted Magnetic Resonance Imaging Child Imaging, Three-Dimensional Young Adult Adult Humans Male Nervous System Diseases White Matter Algorithms Middle Aged Female Brain Reproducibility of Results Image Interpretation, Computer-Assisted Aged Artifacts Signal-To-Noise Ratio
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CTNet: a convolutional transformer network for EEG-based motor imagery classification.

Scientific reports Aug 30, 2024
Brain-computer interface (BCI) technology bridges the direct communication between the brain and machines, unlocking new possibilities for human interaction and rehabilitation. EEG-based motor imagery (MI) plays a pivotal role in BCI, enabling the tr...
Humans Neural Networks, Computer Algorithms Brain Electroencephalography Imagination Signal Processing, Computer-Assisted Brain-Computer Interfaces
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SAD: semi-supervised automatic detection of BOLD activations in high temporal resolution fMRI data.

Magma (New York, N.Y.) Aug 29, 2024
OBJECTIVE: Despite the prevalent use of the general linear model (GLM) in fMRI data analysis, assuming a pre-defined hemodynamic response function (HRF) for all voxels can lead to reduced reliability and may distort the inferences derived from it. To...
Algorithms Brain Female Brain Mapping Male ROC Curve Image Processing, Computer-Assisted Linear Models Humans Reproducibility of Results Hemodynamics Magnetic Resonance Imaging Neural Networks, Computer Adult
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Deep-learning-based image reconstruction with limited data: generating synthetic raw data using deep learning.

Magma (New York, N.Y.) Aug 29, 2024
OBJECT: Deep learning has shown great promise for fast reconstruction of accelerated MRI acquisitions by learning from large amounts of raw data. However, raw data is not always available in sufficient quantities. This study investigates synthetic da...
Neural Networks, Computer Algorithms Brain Magnetic Resonance Imaging Humans Deep Learning Image Processing, Computer-Assisted
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Improving classification performance of motor imagery BCI through EEG data augmentation with conditional generative adversarial networks.

Neural networks : the official journal of the International Neural Network Society Aug 28, 2024
In brain-computer interface (BCI), building accurate electroencephalogram (EEG) classifiers for specific mental tasks is critical for BCI performance. The classifiers are developed by machine learning (ML) and deep learning (DL) techniques, requiring...
Electroencephalography Brain-Computer Interfaces Humans Neural Networks, Computer Imagination Brain Machine Learning Deep Learning
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