AIMC Topic: Brain

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DeepGenePrior: A deep learning model for prioritizing genes affected by copy number variants.

PLoS computational biology Jul 24, 2023
The genetic etiology of brain disorders is highly heterogeneous, characterized by abnormalities in the development of the central nervous system that lead to diminished physical or intellectual capabilities. The process of determining which gene driv...
Autistic Disorder Animals Deep Learning Genetic Predisposition to Disease DNA Copy Number Variations Mice Brain
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Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography.

Neural networks : the official journal of the International Neural Network Society Jul 23, 2023
Cognitive flexibility encompasses the ability to efficiently shift focus and forms a critical component of goal-directed attention. The neural substrates of this process are incompletely understood in part due to difficulties in sampling the involved...
Connectome Neural Pathways Electroencephalography Attention Magnetic Resonance Imaging Brain Mapping Child Humans Cognition Brain Deep Learning
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Artificial intelligence based multimodal language decoding from brain activity: A review.

Brain research bulletin Jul 23, 2023
Decoding brain activity is conducive to the breakthrough of brain-computer interface (BCI) technology. The development of artificial intelligence (AI) continually promotes the progress of brain language decoding technology. Existent research has main...
Humans Artificial Intelligence Speech Brain Language
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Differentiation between multiple sclerosis and neuromyelitis optica spectrum disorder using a deep learning model.

Scientific reports Jul 19, 2023
Multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) are autoimmune inflammatory disorders of the central nervous system (CNS) with similar characteristics. The differential diagnosis between MS and NMOSD is critical for initiat...
Brain Deep Learning Humans Aquaporin 4 Neuromyelitis Optica Magnetic Resonance Imaging Multiple Sclerosis
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Exploring contrast generalisation in deep learning-based brain MRI-to-CT synthesis.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Jul 18, 2023
BACKGROUND: Synthetic computed tomography (sCT) has been proposed and increasingly clinically adopted to enable magnetic resonance imaging (MRI)-based radiotherapy. Deep learning (DL) has recently demonstrated the ability to generate accurate sCT fro...
Radiotherapy Dosage Deep Learning Brain Image Processing, Computer-Assisted Tomography, X-Ray Computed Magnetic Resonance Imaging Humans Radiotherapy Planning, Computer-Assisted
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Deep learning-based prediction of H3K27M alteration in diffuse midline gliomas based on whole-brain MRI.

Cancer medicine Jul 17, 2023
BACKGROUND: H3K27M mutation status significantly affects the prognosis of patients with diffuse midline gliomas (DMGs), but this tumor presents a high risk of pathological acquisition. We aimed to construct a fully automated model for predicting the ...
Humans Magnetic Resonance Imaging Brain Reproducibility of Results Deep Learning Glioma
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Adaptive Memory of a Neuromorphic Transistor with Multi-Sensory Signal Fusion.

ACS applied materials & interfaces Jul 17, 2023
One of the ultimate goals of artificial intelligence is to achieve the capability of memory evolution and adaptability to changing environments, which is termed adaptive memory. To realize adaptive memory in artificial neuromorphic devices, artificia...
Synapses Animals Dogs Neural Networks, Computer Artificial Intelligence Brain
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Unsupervised abnormality detection in neonatal MRI brain scans using deep learning.

Scientific reports Jul 17, 2023
Analysis of 3D medical imaging data has been a large topic of focus in the area of Machine Learning/Artificial Intelligence, though little work has been done in algorithmic (particularly unsupervised) analysis of neonatal brain MRI's. A myriad of con...
Humans Deep Learning Magnetic Resonance Imaging Brain Diseases Brain Infant, Newborn
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Multidirectional Associative Memory Neural Network Circuit Based on Memristor.

IEEE transactions on biomedical circuits and systems Jul 12, 2023
Multidirectional associative memory neural network(MAMNN) is a direct extension of bidirectional associative memory neural network, which can handle multiple associations. In this work, a circuit of MAMNN based on memristor is proposed, which simulat...
Neurons Computer Simulation Feedback Neural Networks, Computer Brain
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Human-robot collaborative task planning using anticipatory brain responses.

PloS one Jul 11, 2023
Human-robot interaction (HRI) describes scenarios in which both human and robot work as partners, sharing the same environment or complementing each other on a joint task. HRI is characterized by the need for high adaptability and flexibility of robo...
Learning Brain Humans Robotics Computer Simulation Algorithms
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