AIMC Topic: Brain

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Classification of brain tumours from MRI images using deep learning-enabled hybrid optimization algorithm.

Network (Bristol, England) Nov 9, 2023
Brain tumours are produced by the uncontrolled, and unusual tissue growth of brain. Because of the wide range of brain tumour locations, potential shapes, and image intensities, segmentation of the brain tumour by magnetic resonance imaging (MRI) is ...
Brain Neoplasms Deep Learning Algorithms Radiopharmaceuticals Magnetic Resonance Imaging Animals Brain Deer
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Deep learning-based 3D brain multimodal medical image registration.

Medical & biological engineering & computing Nov 8, 2023
Medical image registration is a critical preprocessing step in medical image analysis. While traditional medical image registration techniques have matured, their registration speed and accuracy still fall short of clinical requirements. In this pape...
Image Processing, Computer-Assisted Benchmarking Databases, Factual Brain Learning Deep Learning
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A survey on cancer detection via convolutional neural networks: Current challenges and future directions.

Neural networks : the official journal of the International Neural Network Society Nov 7, 2023
Cancer is a condition in which abnormal cells uncontrollably split and damage the body tissues. Hence, detecting cancer at an early stage is highly essential. Currently, medical images play an indispensable role in detecting various cancers; however,...
Neoplasms Diagnostic Imaging Brain Male Humans Neural Networks, Computer
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Individualized Assessment of Brain Aβ Deposition With fMRI Using Deep Learning.

IEEE journal of biomedical and health informatics Nov 7, 2023
PET-based Alzheimer's disease (AD) assessment has many limitations in large-scale screening. Non-invasive techniques such as resting-state functional magnetic resonance imaging (rs-fMRI) have been proven valuable in early AD diagnosis. This study inv...
Humans Magnetic Resonance Imaging Reproducibility of Results Brain Alzheimer Disease Deep Learning
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A deep learning-based approach for distinguishing different stress levels of human brain using EEG and pulse rate.

Computer methods in biomechanics and biomedical engineering Nov 6, 2023
In today's world, people suffer from many fatal maladies, and stress is one of them. Excessive stress can have deleterious effects on the health, brain, mind, and nervous system of humans. The goal of this paper is to design a deep learningbased huma...
Heart Rate Stress, Physiological Brain Deep Learning Humans Electroencephalography Neural Networks, Computer Signal Processing, Computer-Assisted
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Deep learning-assisted preclinical MR fingerprinting for sub-millimeter T and T mapping of entire macaque brain.

Magnetic resonance in medicine Nov 6, 2023
PURPOSE: Preclinical MR fingerprinting (MRF) suffers from long acquisition time for organ-level coverage due to demanding image resolution and limited undersampling capacity. This study aims to develop a deep learning-assisted fast MRF framework for ...
Brain Deep Learning Magnetic Resonance Imaging Phantoms, Imaging Imaging, Three-Dimensional Image Processing, Computer-Assisted
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The Neural Mechanism of Knowledge Assembly in the Human Brain Inspires Artificial Intelligence Algorithm.

Neuroscience bulletin Nov 4, 2023
Head Algorithms Brain Humans Artificial Intelligence
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A bi-functional three-terminal memristor applicable as an artificial synapse and neuron.

Nanoscale Nov 2, 2023
Due to their significant resemblance to the biological brain, spiking neural networks (SNNs) show promise in handling spatiotemporal information with high time and energy efficiency. Two-terminal memristors have the capability to achieve both synapti...
Neurons Synapses Brain Neuronal Plasticity Neural Networks, Computer
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Bridging Neuroscience and Robotics: Spiking Neural Networks in Action.

Sensors (Basel, Switzerland) Nov 1, 2023
Robots are becoming increasingly sophisticated in the execution of complex tasks. However, an area that requires development is the ability to act in dynamically changing environments. To advance this, developments have turned towards understanding t...
Humans Neural Networks, Computer Robotics Brain Electroencephalography Computer Simulation
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Reducing Gadolinium Contrast With Artificial Intelligence.

Journal of magnetic resonance imaging : JMRI Oct 31, 2023
Gadolinium contrast is an important agent in magnetic resonance imaging (MRI), particularly in neuroimaging where it can help identify blood-brain barrier breakdown from an inflammatory, infectious, or neoplastic process. However, gadolinium contrast...
Machine Learning Brain Humans Neuroimaging Contrast Media Artificial Intelligence Gadolinium Magnetic Resonance Imaging
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