AIMC Topic: Brain

Clear Filters Showing 341 to 350 of 4056 articles

Incremental accumulation of linguistic context in artificial and biological neural networks.

Nature communications Jan 18, 2025
Large Language Models (LLMs) have shown success in predicting neural signals associated with narrative processing, but their approach to integrating context over large timescales differs fundamentally from that of the human brain. In this study, we s...
Magnetic Resonance Imaging Models, Neurological Brain Mapping Young Adult Adult Male Speech Perception Linguistics Humans Neural Networks, Computer Brain Language Female
View on PubMed DOI

VGX: VGG19-Based Gradient Explainer Interpretable Architecture for Brain Tumor Detection in Microscopy Magnetic Resonance Imaging (MMRI).

Microscopy research and technique Jan 17, 2025
The development of deep learning algorithms has transformed medical image analysis, especially in brain tumor recognition. This research introduces a robust automatic microbrain tumor identification method utilizing the VGG16 deep learning model. Mic...
Microscopy Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Brain Brain Neoplasms Humans
View on PubMed DOI

Deep learning-based free-water correction for single-shell diffusion MRI.

Magnetic resonance imaging Jan 17, 2025
Free-water elimination (FWE) modeling in diffusion magnetic resonance imaging (dMRI) is crucial for accurate estimation of diffusion properties by mitigating the partial volume effects caused by free water, particularly at the interface between white...
Aged Young Adult Adult Brain Neoplasms Male Deep Learning Algorithms Brain Female Connectome Water Diffusion Magnetic Resonance Imaging Humans Image Processing, Computer-Assisted White Matter
View on PubMed DOI

Automatic segmentation of MRI images for brain radiotherapy planning using deep ensemble learning.

Biomedical physics & engineering express Jan 17, 2025
This study aimed to develop and evaluate an efficient method to automatically segment T1- and T2-weighted brain magnetic resonance imaging (MRI) images. We specifically compared the segmentation performance of individual convolutional neural network ...
Radiotherapy, Image-Guided Ensemble Learning Neural Networks, Computer Algorithms Brain Humans Magnetic Resonance Imaging Brain Neoplasms Organs at Risk Deep Learning Radiotherapy Planning, Computer-Assisted Image Processing, Computer-Assisted
View on PubMed DOI

Interpretable and integrative deep learning for discovering brain-behaviour associations.

Scientific reports Jan 17, 2025
Recent advances highlight the limitations of classification strategies in machine learning that rely on a single data source for understanding, diagnosing and predicting psychiatric syndromes. Moreover, approaches based solely on clinician labels oft...
Mental Disorders Brain Female Humans Magnetic Resonance Imaging Adult Male Deep Learning
View on PubMed DOI

Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation.

PloS one Jan 17, 2025
CNN is considered an efficient tool in brain image segmentation. However, neonatal brain images require specific methods due to their nature and structural differences from adult brain images. Hence, it is necessary to determine the optimal structure...
Humans Infant, Newborn Convolutional Neural Networks Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Algorithms Brain
View on PubMed DOI

Towards parameter-free attentional spiking neural networks.

Neural networks : the official journal of the International Neural Network Society Jan 16, 2025
Brain-inspired spiking neural networks (SNNs) are increasingly explored for their potential in spatiotemporal information modeling and energy efficiency on emerging neuromorphic hardware. Recent works incorporate attentional modules into SNNs, greatl...
Neural Networks, Computer Brain Humans Models, Neurological Attention Action Potentials Neurons
View on PubMed DOI

Illuminating the unseen: Advancing MRI domain generalization through causality.

Medical image analysis Jan 16, 2025
Deep learning methods have shown promise in accelerated MRI reconstruction but face significant challenges under domain shifts between training and testing datasets, such as changes in image contrasts, anatomical regions, and acquisition strategies. ...
Deep Learning Humans Algorithms Image Processing, Computer-Assisted Brain Magnetic Resonance Imaging
View on PubMed DOI

Identifying multilayer network hub by graph representation learning.

Medical image analysis Jan 16, 2025
The recent advances in neuroimaging technology allow us to understand how the human brain is wired in vivo and how functional activity is synchronized across multiple regions. Growing evidence shows that the complexity of the functional connectivity ...
Humans Connectome Machine Learning Brain Nerve Net Algorithms Magnetic Resonance Imaging Brain Mapping
View on PubMed DOI

Characterizing brain network alterations in cervical spondylotic myelopathy using static and dynamic functional network connectivity and machine learning.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Jan 16, 2025
BACKGROUND: Cervical spondylotic myelopathy (CSM) is a debilitating condition that affects the cervical spine, leading to neurological impairments. While the neural mechanisms underlying CSM remain poorly understood, changes in brain network connecti...
Spinal Cord Diseases Brain Spondylosis Female Magnetic Resonance Imaging Humans Aged Cervical Vertebrae Machine Learning Adult Nerve Net Male Middle Aged
View on PubMed DOI
Popular Topics
Recent Journals