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Neurology Subcategories: Autism Dementia Head Trauma Parkinson's Disease Seizures Sleep Disorders

Showing 925-945 of 3,743 articles

Orthogonal Features Based EEG Signals Denoising Using Fractional and Compressed One-Dimensional CNN Autoencoder.

This paper presents a fractional one-dimensional convolutional neural network (CNN) autoencoder for ...

Sep 2022 PMID: 36001513

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works.

Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure include co...

Sep 2022 PMID: 36108415

ResNet-50 based technique for EEG image characterization due to varying environmental stimuli.

BACKGROUND AND OBJECTIVE: Emotion is an important factor affecting a person's physical and mental he...

Aug 2022 PMID: 36058062

Diagnostic and prognostic EEG analysis of critically ill patients: A deep learning study.

Visual interpretation of electroencephalography (EEG) is time consuming, may lack objectivity, and i...

Aug 2022 PMID: 36049354

The Portiloop: A deep learning-based open science tool for closed-loop brain stimulation.

Closed-loop brain stimulation refers to capturing neurophysiological measures such as electroencepha...

Aug 2022 PMID: 35994482

CNN-XGBoost fusion-based affective state recognition using EEG spectrogram image analysis.

Recognizing emotional state of human using brain signal is an active research domain with several op...

Aug 2022 PMID: 35986065

On the Deep Learning Models for EEG-Based Brain-Computer Interface Using Motor Imagery.

Motor imagery (MI) based brain-computer interface (BCI) is an important BCI paradigm which requires ...

Aug 2022 PMID: 35951573

Deep-Learning-Based Automatic Selection of Fewest Channels for Brain-Machine Interfaces.

Due to the development of convenient brain-machine interfaces (BMIs), the automatic selection of a m...

Aug 2022 PMID: 33635816

Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition.

In recent years, emotion recognition based on electroencephalography (EEG) has received growing inte...

Aug 2022 PMID: 36041272

Deep learning-based automated segmentation of resection cavities on postsurgical epilepsy MRI.

Accurate segmentation of surgical resection sites is critical for clinical assessments and neuroimag...

Aug 2022 PMID: 35988342

Gating Attractor Dynamics of Frontal Cortex Under Acupuncture via Recurrent Neural Network.

Acupuncture can regulate the functions of human body and improve the cognition of brain. However, th...

Aug 2022 PMID: 35290193

Effective Evaluation of Medical Images Using Artificial Intelligence Techniques.

This work is implemented for the management of patients with epilepsy, and methods based on electroe...

Aug 2022 PMID: 35990128

Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective study.

To develop deep learning models for predicting Interoperative hypotension (IOH) using waveforms from...

Aug 2022 PMID: 35944013

A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification.

The attention mechanism of the Transformer has the advantage of extracting feature correlation in th...

Aug 2022 PMID: 35914032

A deep learning framework for epileptic seizure detection based on neonatal EEG signals.

Electroencephalogram (EEG) is one of the main diagnostic tests for epilepsy. The detection of epilep...

Jul 2022 PMID: 35906248

Deep neural networks constrained by neural mass models improve electrophysiological source imaging of spatiotemporal brain dynamics.

Many efforts have been made to image the spatiotemporal electrical activity of the brain with the pu...

Jul 2022 PMID: 35881787

Development of a natural language processing algorithm to extract seizure types and frequencies from the electronic health record.

OBJECTIVE: To develop a natural language processing (NLP) algorithm to abstract seizure types and fr...

Jul 2022 PMID: 35882104

Neurology

Browse Specialties

Orthogonal Features Based EEG Signals Denoising Using Fractional and Compressed One-Dimensional CNN Autoencoder.

An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works.

ResNet-50 based technique for EEG image characterization due to varying environmental stimuli.

Diagnostic and prognostic EEG analysis of critically ill patients: A deep learning study.

The Portiloop: A deep learning-based open science tool for closed-loop brain stimulation.

CNN-XGBoost fusion-based affective state recognition using EEG spectrogram image analysis.

On the Deep Learning Models for EEG-Based Brain-Computer Interface Using Motor Imagery.

Deep-Learning-Based Automatic Selection of Fewest Channels for Brain-Machine Interfaces.

Simultaneously exploring multi-scale and asymmetric EEG features for emotion recognition.

Deep learning-based automated segmentation of resection cavities on postsurgical epilepsy MRI.

Gating Attractor Dynamics of Frontal Cortex Under Acupuncture via Recurrent Neural Network.

Effective Evaluation of Medical Images Using Artificial Intelligence Techniques.

Predicting intraoperative hypotension using deep learning with waveforms of arterial blood pressure, electroencephalogram, and electrocardiogram: Retrospective study.

A Transformer-Based Approach Combining Deep Learning Network and Spatial-Temporal Information for Raw EEG Classification.

A deep learning framework for epileptic seizure detection based on neonatal EEG signals.

Deep neural networks constrained by neural mass models improve electrophysiological source imaging of spatiotemporal brain dynamics.

Sex differences in rTMS treatment response: A deep learning-based EEG investigation.

Impact of EEG Frequency Bands and Data Separation on the Performance of Person Verification Employing Neural Networks.

Classification of motor imagery EEG using deep learning increases performance in inefficient BCI users.

Classification and Reconstruction of Biomedical Signals Based on Convolutional Neural Network.

Development of a natural language processing algorithm to extract seizure types and frequencies from the electronic health record.

Browse Specialties