Search Results - "Cabrerizo, Mercedes"
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A distributed multitask multimodal approach for the prediction of Alzheimer’s disease in a longitudinal study
Published in NeuroImage (Orlando, Fla.) (01-02-2020)“…Predicting the progression of Alzheimer’s Disease (AD) has been held back for decades due to the lack of sufficient longitudinal data required for the…”
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Deep convolutional neural network for mixed random impulse and Gaussian noise reduction in digital images
Published in IET image processing (01-12-2020)“…This study utilises a deep convolutional neural network (CNN) implementing regularisation and batch normalisation for the removal of mixed, random, impulse,…”
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A transfer learning approach based on gradient boosting machine for diagnosis of Alzheimer's disease
Published in Frontiers in aging neuroscience (05-10-2022)“…Early detection of Alzheimer's disease (AD) during the Mild Cognitive Impairment (MCI) stage could enable effective intervention to slow down disease…”
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A Tensorized Multitask Deep Learning Network for Progression Prediction of Alzheimer's Disease
Published in Frontiers in aging neuroscience (06-05-2022)“…With the advances in machine learning for the diagnosis of Alzheimer's disease (AD), most studies have focused on either identifying the subject's status…”
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5
Dynamics of Electrical Activity in Epileptic Brain and Induced Changes Due to Interictal Epileptiform Discharges
Published in IEEE access (2022)“…Background: Understanding functional connectivity (FC) patterns of epileptic brain networks as they relate to the presence or absence of interictal…”
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6
Penalized Functional Connectivity Maps for Patients With Focal Epilepsy
Published in IEEE access (2021)“…Objective : This study demonstrates how functional connectivity (FC) patterns are affected in direct relation to the lobe that is mostly affected by seizures…”
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7
Significance of Normalization on Anatomical MRI Measures in Predicting Alzheimer’s Disease
Published in TheScientificWorld (01-01-2014)“…This study establishes a new approach for combining neuroimaging and neuropsychological measures for an optimal decisional space to classify subjects with…”
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A cognitive stress test for prodromal Alzheimer's disease: Multiethnic generalizability
Published in Alzheimer's & dementia : diagnosis, assessment & disease monitoring (01-12-2019)“…Culturally fair cognitive assessments sensitive to detecting changes associated with prodromal Alzheimer's disease are needed. Performance of Hispanic and…”
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A new parametric feature descriptor for the classification of epileptic and control EEG records in pediatric population
Published in International journal of neural systems (01-04-2012)“…This study evaluates the sensitivity, specificity and accuracy in associating scalp EEG to either control or epileptic patients by means of artificial neural…”
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10
Induced Effects of Transcranial Magnetic Stimulation on the Autonomic Nervous System and the Cardiac Rhythm
Published in TheScientificWorld (01-01-2014)“…Several standard protocols based on repetitive transcranial magnetic stimulation (rTMS) have been employed for treatment of a variety of neurological…”
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Quasi-Stationarity of EEG for Intraoperative Monitoring during Spinal Surgeries
Published in TheScientificWorld (01-01-2014)“…We present a study and application of quasi-stationarity of electroencephalogram for intraoperative neurophysiological monitoring (IONM) and an application of…”
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12
Detection of Interictal Spikes and Artifactual Data Through Orthogonal Transformations
Published in Journal of clinical neurophysiology (01-01-2005)“…This study introduces an integrated algorithm based on the Walsh transform to detect interictal spikes and artifactual data in epileptic patients using…”
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A Robust Edge Detection Approach in the Presence of High Impulse Noise Intensity Through Switching Adaptive Median and Fixed Weighted Mean Filtering
Published in IEEE transactions on image processing (01-11-2018)“…This paper introduces a robust edge detection method that relies on an integrated process for denoising images in the presence of high impulse noise. This…”
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A comprehensive survey on impulse and Gaussian denoising filters for digital images
Published in Signal processing (01-04-2019)“…•Described existing Impulse and Gaussian denoising filters and classified them based on the methods adopted and their respective domains of…”
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15
Pattern extraction in interictal EEG recordings towards detection of electrodes leading to seizures
Published in Biomedical sciences instrumentation (01-01-2006)“…This study introduces an algorithm for a new application dedicated at discriminating between electrodes leading to a seizure onset and those that do not lead…”
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A survey on applications and analysis methods of functional magnetic resonance imaging for Alzheimer’s disease
Published in Journal of neuroscience methods (01-04-2019)“…•Discussions of methods have been used in functional magnetic resonance imaging analysis.•Investigation of pre-clinical and clinical applications of functional…”
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17
Near real-time single-beat myocardial infarction detection from single-lead electrocardiogram using Long Short-Term Memory Neural Network
Published in Biomedical signal processing and control (01-07-2021)“…•Deep-Long Short-Term Memory (LSTM) for myocardial infarction (MI) detection.•Inter-patient myocardial infarction detection from single heartbeat and single…”
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Real-time frequency-independent single-Lead and single-beat myocardial infarction detection
Published in Artificial intelligence in medicine (01-11-2021)“…This study proposes a novel real-time frequency-independent myocardial infarction detector for Lead II electrocardiograms. The underlying Deep-LSTM network is…”
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Graph neural networks in EEG spike detection
Published in Artificial intelligence in medicine (01-11-2023)“…This study develops new machine learning architectures that are more adept at detecting interictal epileptiform discharges (IEDs) in scalp EEG. A comparison of…”
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A Cross-Correlated Delay Shift Supervised Learning Method for Spiking Neurons with Application to Interictal Spike Detection in Epilepsy
Published in International journal of neural systems (01-05-2017)“…This study introduces a novel learning algorithm for spiking neurons, called CCDS, which is able to learn and reproduce arbitrary spike patterns in a…”
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