AIMC Topic: Brain

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Self-supervised parametric map estimation for multiplexed PET with a deep image prior.

Physics in medicine and biology Jan 31, 2025
Multiplexed positron emission tomography (mPET) imaging allows simultaneous observation of physiological and pathological information from multiple tracers in a single PET scan. Although supervised deep learning has demonstrated superior performance ...
Image Processing, Computer-Assisted Supervised Machine Learning Positron-Emission Tomography Humans Brain Deep Learning
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Graph convolution network-based eeg signal analysis: a review.

Medical & biological engineering & computing Jan 30, 2025
With the advancement of artificial intelligence technology, more and more effective methods are being used to identify and classify Electroencephalography (EEG) signals to address challenges in healthcare and brain-computer interface fields. The appl...
Brain Humans Electroencephalography Signal Processing, Computer-Assisted Neural Networks, Computer Brain-Computer Interfaces Algorithms
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JotlasNet: Joint tensor low-rank and attention-based sparse unrolling network for accelerating dynamic MRI.

Magnetic resonance imaging Jan 30, 2025
Joint low-rank and sparse unrolling networks have shown superior performance in dynamic MRI reconstruction. However, existing works mainly utilized matrix low-rank priors, neglecting the tensor characteristics of dynamic MRI images, and only a global...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Brain Deep Learning Humans Neural Networks, Computer
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A temporal-spatial feature fusion network for emotion recognition with individual differences reduction.

Neuroscience Jan 30, 2025
PURPOSE: In the context of EEG-based emotion recognition tasks, a conventional strategy involves the extraction of spatial and temporal features, subsequently fused for emotion prediction. However, due to the pronounced individual variability in EEG ...
Female Young Adult Humans Individuality Adult Neural Networks, Computer Recognition, Psychology Male Brain Emotions Electroencephalography
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UK Biobank MRI data can power the development of generalizable brain clocks: A study of standard ML/DL methodologies and performance analysis on external databases.

NeuroImage Jan 30, 2025
In this study, we present a comprehensive pipeline to train and compare a broad spectrum of machine learning and deep learning brain clocks, integrating diverse preprocessing strategies and correction terms. Our analysis also includes established met...
Male Aging Middle Aged Deep Learning Humans Image Processing, Computer-Assisted Female Machine Learning Magnetic Resonance Imaging Aged Biological Specimen Banks Databases, Factual UK Biobank Aged, 80 and over United Kingdom Brain Neuroimaging
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Deep Learning-Based Precontrast CT Parcellation for MRI-Free Brain Amyloid PET Quantification.

Clinical nuclear medicine Jan 29, 2025
PURPOSE: This study aimed to develop a deep learning (DL) model for brain region parcellation using CT data from PET/CT scans to enable accurate amyloid quantification in 18 F-FBB PET/CT without relying on high-resolution MRI.
Retrospective Studies Female Aged Humans Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Positron Emission Tomography Computed Tomography Male Middle Aged Deep Learning Amyloid
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DSAM: A deep learning framework for analyzing temporal and spatial dynamics in brain networks.

Medical image analysis Jan 29, 2025
Resting-state functional magnetic resonance imaging (rs-fMRI) is a noninvasive technique pivotal for understanding human neural mechanisms of intricate cognitive processes. Most rs-fMRI studies compute a single static functional connectivity matrix a...
Nerve Net Brain Humans Magnetic Resonance Imaging Female Male Neural Networks, Computer Adult Connectome Deep Learning
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Graph Neural Network Learning on the Pediatric Structural Connectome.

Tomography (Ann Arbor, Mich.) Jan 29, 2025
PURPOSE: Sex classification is a major benchmark of previous work in learning on the structural connectome, a naturally occurring brain graph that has proven useful for studying cognitive function and impairment. While graph neural networks (GNNs), s...
Male Magnetic Resonance Imaging Brain Humans Adolescent Connectome Female Child Neural Networks, Computer Adult Graph Neural Networks Machine Learning
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Artificial intelligence for brain neuroanatomical segmentation in magnetic resonance imaging: A literature review.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Jan 28, 2025
PURPOSE: This literature review aims to synthesise current research on the application of artificial intelligence (AI) for the segmentation of brain neuroanatomical structures in magnetic resonance imaging (MRI).
Magnetic Resonance Imaging Humans Artificial Intelligence Brain Image Processing, Computer-Assisted
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Classification of Imagined Speech Signals Using Functional Connectivity Graphs and Machine Learning Models.

Brain topography Jan 28, 2025
EEG involves recording electrical activity generated by the brain through electrodes placed on the scalp. Imagined speech classification has emerged as an essential area of research in brain-computer interfaces (BCIs). Despite significant advances, a...
Adult Machine Learning Male Electroencephalography Humans Brain Brain-Computer Interfaces Speech Neural Networks, Computer Female Imagination
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