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Mercedes Cabrerizo
Researcher at Florida International University
Publications - 103
Citations - 1620
Mercedes Cabrerizo is an academic researcher from Florida International University. The author has contributed to research in topics: Electroencephalography & Ictal. The author has an hindex of 20, co-authored 98 publications receiving 1279 citations. Previous affiliations of Mercedes Cabrerizo include University of Miami.
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Journal ArticleDOI
Interictal spike detection using the Walsh transform
Malek Adjouadi,D. Sanchez,Mercedes Cabrerizo,Melvin Ayala,Prasanna Jayakar,Ilker Yaylali,Armando Barreto +6 more
TL;DR: The encouraging preliminary results support the feasibility of using the Walsh transformation to detect interictal spikes in electroencephalogram (EEG) data and support its further development for prolonged EEG recordings in ambulatory subjects.
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A comprehensive survey on impulse and Gaussian denoising filters for digital images
TL;DR: With this extensive review, researchers in image processing will be able to ascertain which of these denoising methods will be best applicable to their research needs and the application domain where such methods are contemplated for implementation.
Journal ArticleDOI
Detection of interictal spikes and artifactual data through orthogonal transformations.
Malek Adjouadi,Mercedes Cabrerizo,Melvin Ayala,Danmary Sanchez,Ilker Yaylali,Prasanna Jayakar,Armando Barreto +6 more
TL;DR: In this article, an integrated algorithm based on the Walsh transform was proposed to detect interictal spikes and artifactual data in epileptic patients using recorded EEG data, which can be patterned or generalized to other brain dysfunctions.
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An Optimal Decisional Space for the Classification of Alzheimer's Disease and Mild Cognitive Impairment
Qi Zhou,Mohammed Goryawala,Mercedes Cabrerizo,Jin Wang,Warren W. Barker,David A. Loewenstein,Ranjan Duara,Malek Adjouadi +7 more
TL;DR: This paper proposes to combine MRI data with a neuropsychological test, mini-mental state examination (MMSE), as input to a multi-dimensional space for the classification of Alzheimer's disease and it's prodromal stages-mild cognitive impairment including amnestic MCI (aMCI) and nonamnesticMCI (naMCI).
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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
TL;DR: The proposed switching adaptive median and fixed weighted mean filter (SAMFWMF) is shown to yield optimal edge detection and edge detail preservation, an outcome the authors validate through high correlation, structural similarity index, and peak signal-to-noise ratio measures.