AIMC Topic: Brain

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Shape-Scale Co-Awareness Network for 3D Brain Tumor Segmentation.

IEEE transactions on medical imaging Jul 1, 2024
The accurate segmentation of brain tumor is significant in clinical practice. Convolutional Neural Network (CNN)-based methods have made great progress in brain tumor segmentation due to powerful local modeling ability. However, brain tumors are freq...
Humans Neural Networks, Computer Brain Neoplasms Imaging, Three-Dimensional Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Algorithms Databases, Factual Brain
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Shared functional specialization in transformer-based language models and the human brain.

Nature communications Jun 29, 2024
When processing language, the brain is thought to deploy specialized computations to construct meaning from complex linguistic structures. Recently, artificial neural networks based on the Transformer architecture have revolutionized the field of nat...
Brain Language Female Male Magnetic Resonance Imaging Young Adult Adult Humans Neural Networks, Computer Models, Neurological Brain Mapping Natural Language Processing
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Iterative Motion Correction Technique with Deep Learning Reconstruction for Brain MRI: A Volunteer and Patient Study.

Journal of imaging informatics in medicine Jun 28, 2024
The aim of this study was to investigate the effect of iterative motion correction (IMC) on reducing artifacts in brain magnetic resonance imaging (MRI) with deep learning reconstruction (DLR). The study included 10 volunteers (between September 2023...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Motion Artifacts Male Middle Aged Deep Learning Aged Young Adult Adult Brain Female Humans
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Biological computation through recurrence.

Biochemical and biophysical research communications Jun 28, 2024
One of the defining features of living systems is their adaptability to changing environmental conditions. This requires organisms to extract temporal and spatial features of their environment, and use that information to compute the appropriate resp...
Models, Neurological Biological Evolution Algorithms Humans Brain Neural Networks, Computer Animals Machine Learning
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An rs-fMRI based neuroimaging marker for adult absence epilepsy.

Epilepsy research Jun 28, 2024
OBJECTIVE: Approximately 20-30 % of epilepsy patients exhibit negative findings on routine magnetic resonance imaging, and this condition is known as nonlesional epilepsy. Absence epilepsy (AE) is a prevalent form of nonlesional epilepsy. This study ...
Putamen Neuroimaging Thalamus Epilepsy, Absence Humans Brain Female Male Young Adult Magnetic Resonance Imaging Support Vector Machine Adult Brain Mapping Sensitivity and Specificity
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Medical image registration via neural fields.

Medical image analysis Jun 27, 2024
Image registration is an essential step in many medical image analysis tasks. Traditional methods for image registration are primarily optimization-driven, finding the optimal deformations that maximize the similarity between two images. Recent learn...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Algorithms Brain
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HiRENet: Novel convolutional neural network architecture using Hilbert-transformed and raw electroencephalogram (EEG) for subject-independent emotion classification.

Computers in biology and medicine Jun 27, 2024
BACKGROUND AND OBJECTIVES: Convolutional neural networks (CNNs) are the most widely used deep-learning framework for decoding electroencephalograms (EEGs) due to their exceptional ability to extract hierarchical features from high-dimensional EEG dat...
Signal Processing, Computer-Assisted Deep Learning Humans Emotions Neural Networks, Computer Electroencephalography Brain
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STaRNet: A spatio-temporal and Riemannian network for high-performance motor imagery decoding.

Neural networks : the official journal of the International Neural Network Society Jun 26, 2024
Brain-computer interfaces (BCIs), representing a transformative form of human-computer interaction, empower users to interact directly with external environments through brain signals. In response to the demands for high accuracy, robustness, and end...
Electroencephalography Brain-Computer Interfaces Movement Imagination Humans Neural Networks, Computer Brain
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Predicting changes in brain metabolism and progression from mild cognitive impairment to dementia using multitask Deep Learning models and explainable AI.

NeuroImage Jun 26, 2024
BACKGROUND: The prediction of Alzheimer's disease (AD) progression from its early stages is a research priority. In this context, the use of Artificial Intelligence (AI) in AD has experienced a notable surge in recent years. However, existing investi...
Aged, 80 and over Male Disease Progression Brain Female Aged Alzheimer Disease Positron-Emission Tomography Fluorodeoxyglucose F18 Neuroimaging Deep Learning Humans Cognitive Dysfunction Artificial Intelligence Dementia
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Artificial intelligence for neuro MRI acquisition: a review.

Magma (New York, N.Y.) Jun 26, 2024
OBJECT: To review recent advances of artificial intelligence (AI) in enhancing the efficiency and throughput of the MRI acquisition workflow in neuroimaging, including planning, sequence design, and correction of acquisition artifacts.
Neuroimaging Workflow Image Interpretation, Computer-Assisted Artifacts Humans Artificial Intelligence Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Brain
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