AIMC Topic: Brain

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The role of artificial intelligence in electrodiagnostic and neuromuscular medicine: Current state and future directions.

Muscle & nerve Dec 27, 2023
The rapid advancements in artificial intelligence (AI), including machine learning (ML), and deep learning (DL) have ushered in a new era of technological breakthroughs in healthcare. These technologies are revolutionizing the way we utilize medical ...
Brain Amyotrophic Lateral Sclerosis Machine Learning Electromyography Humans Artificial Intelligence
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EEGProgress: A fast and lightweight progressive convolution architecture for EEG classification.

Computers in biology and medicine Dec 27, 2023
Because of the intricate topological structure and connection of the human brain, extracting deep spatial features from electroencephalograph (EEG) signals is a challenging and time-consuming task. The extraction of topological spatial information pl...
Brain Humans Electrodes Electroencephalography Neural Networks, Computer
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Unsupervised learning of mid-level visual representations.

Current opinion in neurobiology Dec 27, 2023
Recently, a confluence between trends in neuroscience and machine learning has brought a renewed focus on unsupervised learning, where sensory processing systems learn to exploit the statistical structure of their inputs in the absence of explicit tr...
Brain Unsupervised Machine Learning Machine Learning Algorithms
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SMILE: Siamese Multi-scale Interactive-representation LEarning for Hierarchical Diffeomorphic Deformable image registration.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Dec 27, 2023
Deformable medical image registration plays an important role in many clinical applications. It aims to find a dense deformation field to establish point-wise correspondences between a pair of fixed and moving images. Recently, unsupervised deep lear...
Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Brain
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Detection and classification of brain tumor using hybrid deep learning models.

Scientific reports Dec 27, 2023
Accurately classifying brain tumor types is critical for timely diagnosis and potentially saving lives. Magnetic Resonance Imaging (MRI) is a widely used non-invasive method for obtaining high-contrast grayscale brain images, primarily for tumor diag...
Meningeal Neoplasms Brain Humans Deep Learning Brain Neoplasms Glioma
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Designing drugs optimized for both blood-brain barrier permeation and intra-cerebral partition.

Expert opinion on drug discovery Dec 25, 2023
INTRODUCTION: With the increasing incidence and prevalence of neurological disorders globally, there is a paramount need for new pharmacotherapies. BBB effectively protects the brain but raises a profound challenge to drug permeation, with less than ...
Brain Blood-Brain Barrier Artificial Intelligence Animals Biological Transport Drug Delivery Systems
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Brain Topology Modeling With EEG-Graphs for Auditory Spatial Attention Detection.

IEEE transactions on bio-medical engineering Dec 22, 2023
OBJECTIVE: Despite recent advances, the decoding of auditory attention from brain signals remains a challenge. A key solution is the extraction of discriminative features from high-dimensional data, such as multi-channel electroencephalography (EEG)....
Humans Neural Networks, Computer Electroencephalography Brain-Computer Interfaces Algorithms Brain
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A Brain-Controlled Quadruped Robot: A Proof-of-Concept Demonstration.

Sensors (Basel, Switzerland) Dec 22, 2023
Coupling brain-computer interfaces (BCIs) and robotic systems in the future can enable seamless personal assistant systems in everyday life, with the requests that can be performed in a discrete manner, using one's brain activity only. These types of...
Brainwashing Brain Dogs Animals Humans Proof of Concept Study Robotics Amyotrophic Lateral Sclerosis
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Deep learning applications in vascular dementia using neuroimaging.

Current opinion in psychiatry Dec 20, 2023
PURPOSE OF REVIEW: Vascular dementia (VaD) is the second common cause of dementia after Alzheimer's disease, and deep learning has emerged as a critical tool in dementia research. The aim of this article is to highlight the current deep learning appl...
Magnetic Resonance Imaging Alzheimer Disease Brain Humans Neuroimaging Deep Learning Dementia, Vascular
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Distinctive approach in brain tumor detection and feature extraction using biologically inspired DWT method and SVM.

Scientific reports Dec 20, 2023
Brain tumors result from uncontrolled cell growth, potentially leading to fatal consequences if left untreated. While significant efforts have been made with some promising results, the segmentation and classification of brain tumors remain challengi...
Support Vector Machine Wavelet Analysis Humans Algorithms Brain Brain Neoplasms
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