AIMC Topic: Brain

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STANet: A Novel Spatio-Temporal Aggregation Network for Depression Classification with Small and Unbalanced FMRI Data.

Tomography (Ann Arbor, Mich.) Nov 28, 2024
: Early diagnosis of depression is crucial for effective treatment and suicide prevention. Traditional methods rely on self-report questionnaires and clinical assessments, lacking objective biomarkers. Combining functional magnetic resonance imaging ...
Deep Learning Depression Magnetic Resonance Imaging Female Adult Male Humans Neural Networks, Computer Brain
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MACNet: A Multidimensional Attention-Based Convolutional Neural Network for Lower-Limb Motor Imagery Classification.

Sensors (Basel, Switzerland) Nov 28, 2024
Decoding lower-limb motor imagery (MI) is highly important in brain-computer interfaces (BCIs) and rehabilitation engineering. However, it is challenging to classify lower-limb MI from electroencephalogram (EEG) signals, because lower-limb motions (L...
Attention Brain-Computer Interfaces Imagination Brain Lower Extremity Electroencephalography Signal Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Enhancement and evaluation for deep learning-based classification of volumetric neuroimaging with 3D-to-2D knowledge distillation.

Scientific reports Nov 28, 2024
The application of deep learning techniques for the analysis of neuroimaging has been increasing recently. The 3D Convolutional Neural Network (CNN) technology, which is commonly adopted to encode volumetric information, requires a large number of da...
Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Neuroimaging Humans Neural Networks, Computer Brain
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Taming Prolonged Ionic Drift-Diffusion Dynamics for Brain-Inspired Computation.

Advanced materials (Deerfield Beach, Fla.) Nov 27, 2024
Recent advances in neural network-based computing have enabled human-like information processing in areas such as image classification and voice recognition. However, many neural networks run on conventional computers that operate at GHz clock freque...
Oxides Titanium Diffusion Humans Neural Networks, Computer Brain Semiconductors Transistors, Electronic Strontium
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The efficacy of topological properties of functional brain networks in identifying major depressive disorder.

Scientific reports Nov 27, 2024
Major Depressive Disorder (MDD) is a common mental disorder characterized by cognitive impairment, and its pathophysiology remains to be explored. In this study, we aimed to explore the efficacy of brain network topological properties (TPs) in identi...
ROC Curve Support Vector Machine Magnetic Resonance Imaging Brain Mapping Connectome Nerve Net Middle Aged Depressive Disorder, Major Case-Control Studies Young Adult Adult Male Brain Female Humans
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Active Inference and Deep Generative Modeling for Cognitive Ultrasound.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Nov 27, 2024
Ultrasound (US) has the unique potential to offer access to medical imaging to anyone, everywhere. Devices have become ultraportable and cost-effective, akin to the stethoscope. Nevertheless, and despite many advances, US image quality and diagnostic...
Brain Deep Learning Ultrasonography Image Processing, Computer-Assisted Cognition Humans Algorithms
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AI-Assisted Post Contrast Brain MRI: Eighty Percent Reduction in Contrast Dose.

Academic radiology Nov 26, 2024
OBJECTIVES: In the context of growing safety concerns regarding the use of gadolinium-based contrast agents in contrast-enhanced MRI, there is a need for dose reduction without compromising diagnostic accuracy. A deep learning (DL) method is proposed...
Adult Male Middle Aged Brain Female Aged Image Interpretation, Computer-Assisted Brain Diseases Gadolinium Image Enhancement Deep Learning Contrast Media Magnetic Resonance Imaging Humans Prospective Studies
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Incorporating spatial information in deep learning parameter estimation with application to the intravoxel incoherent motion model in diffusion-weighted MRI.

Medical image analysis Nov 26, 2024
In medical image analysis, the utilization of biophysical models for signal analysis offers valuable insights into the underlying tissue types and microstructural processes. In diffusion-weighted magnetic resonance imaging (DWI), a major challenge li...
Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Deep Learning Image Processing, Computer-Assisted Motion Humans Algorithms Brain
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BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis.

Neural networks : the official journal of the International Neural Network Society Nov 26, 2024
The application of deep learning techniques to analyze brain functional magnetic resonance imaging (fMRI) data has led to significant advancements in identifying prospective biomarkers associated with various clinical phenotypes and neurological cond...
Female Aged Male Cognitive Dysfunction Magnetic Resonance Imaging Deep Learning Depression Humans Neural Networks, Computer Brain Alzheimer Disease Neuroimaging Uncertainty
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Deep learning applied to the segmentation of rodent brain MRI data outperforms noisy ground truth on full-fledged brain atlases.

NeuroImage Nov 26, 2024
Translational magnetic resonance imaging of the rodent brain provides invaluable information for preclinical drug development. However, the automated segmentation of such images for quantitative analyses is limited compared to human brain imaging mai...
Brain Animals Male Deep Learning Atlases as Topic Image Processing, Computer-Assisted Rats Magnetic Resonance Imaging
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