Search Results - "Cabrerizo, Mercedes"

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  1. 1

    A distributed multitask multimodal approach for the prediction of Alzheimer’s disease in a longitudinal study by Tabarestani, Solale, Aghili, Maryamossadat, Eslami, Mohammad, Cabrerizo, Mercedes, Barreto, Armando, Rishe, Naphtali, Curiel, Rosie E., Loewenstein, David, Duara, Ranjan, Adjouadi, Malek

    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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    Journal Article
  2. 2

    Deep convolutional neural network for mixed random impulse and Gaussian noise reduction in digital images by Mehdi Mafi, Walter Izquierdo, Harold Martin, Mercedes Cabrerizo, Malek Adjouadi

    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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  3. 3

    A transfer learning approach based on gradient boosting machine for diagnosis of Alzheimer's disease by Shojaie, Mehdi, Cabrerizo, Mercedes, DeKosky, Steven T, Vaillancourt, David E, Loewenstein, David, Duara, Ranjan, Adjouadi, Malek

    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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  4. 4

    A Tensorized Multitask Deep Learning Network for Progression Prediction of Alzheimer's Disease by Tabarestani, Solale, Eslami, Mohammad, Cabrerizo, Mercedes, Curiel, Rosie E, Barreto, Armando, Rishe, Naphtali, Vaillancourt, David, DeKosky, Steven T, Loewenstein, David A, Duara, Ranjan, Adjouadi, Malek

    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. 5

    Dynamics of Electrical Activity in Epileptic Brain and Induced Changes Due to Interictal Epileptiform Discharges by Mohammed, Ahmed Hossam, Morar, Ulyana, Cabrerizo, Mercedes, Rajaei, Hoda, Pinzon, Alberto, Yaylali, Ilker, Adjouadi, Malek

    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. 6

    Penalized Functional Connectivity Maps for Patients With Focal Epilepsy by Mohammed, Ahmed Hossam, Cabrerizo, Mercedes, Morar, Ulyana, Rajaei, Hoda, Pinzon, Alberto, Yaylali, Ilker, Gonzales-Arias, Sergio, Adjouadi, Malek

    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. 7

    Significance of Normalization on Anatomical MRI Measures in Predicting Alzheimer’s Disease by Duara, Ranjan, Barker, Warren, Cabrerizo, Mercedes, Goryawala, Mohammed, Zhou, Qi, Adjouadi, Malek

    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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  8. 8
  9. 9

    A new parametric feature descriptor for the classification of epileptic and control EEG records in pediatric population by Cabrerizo, Mercedes, Ayala, Melvin, Goryawala, Mohammed, Jayakar, Prasanna, Adjouadi, Malek

    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. 10

    Induced Effects of Transcranial Magnetic Stimulation on the Autonomic Nervous System and the Cardiac Rhythm by Adjouadi, Malek, Gonzalez-Arias, Sergio M., Zhou, Qi, Rojas, Niovi, de la Rua, Jesus, Perez, Juan O., Cabrera, Anastasio, Cabrerizo, Mercedes, Pinzon-Ardila, Alberto

    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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  11. 11

    Quasi-Stationarity of EEG for Intraoperative Monitoring during Spinal Surgeries by Adjouadi, Malek, Yaylali, Ilker, Cabrerizo, Mercedes, Goryawala, Mohammed, Motahari, S. M. Amin, Vedala, Krishnatej

    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. 12

    Detection of Interictal Spikes and Artifactual Data Through Orthogonal Transformations by Adjouadi, Malek, Cabrerizo, Mercedes, Ayala, Melvin, Sanchez, Danmary, Yaylali, Ilker, Jayakar, Prasanna, Barreto, Armando

    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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  13. 13

    A Robust Edge Detection Approach in the Presence of High Impulse Noise Intensity Through Switching Adaptive Median and Fixed Weighted Mean Filtering by Mafi, Mehdi, Rajaei, Hoda, Cabrerizo, Mercedes, Adjouadi, Malek

    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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  14. 14

    A comprehensive survey on impulse and Gaussian denoising filters for digital images by Mafi, Mehdi, Martin, Harold, Cabrerizo, Mercedes, Andrian, Jean, Barreto, Armando, Adjouadi, Malek

    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. 15

    Pattern extraction in interictal EEG recordings towards detection of electrodes leading to seizures by Mercedes, Cabrerizo, Adjouadi, Malek, Ayala, Melvin, Tito, Maria

    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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  16. 16

    A survey on applications and analysis methods of functional magnetic resonance imaging for Alzheimer’s disease by Forouzannezhad, Parisa, Abbaspour, Alireza, Fang, Chen, Cabrerizo, Mercedes, Loewenstein, David, Duara, Ranjan, Adjouadi, Malek

    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. 17

    Near real-time single-beat myocardial infarction detection from single-lead electrocardiogram using Long Short-Term Memory Neural Network by Martin, Harold, Izquierdo, Walter, Cabrerizo, Mercedes, Cabrera, Anastasio, Adjouadi, Malek

    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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  18. 18

    Real-time frequency-independent single-Lead and single-beat myocardial infarction detection by Martin, Harold, Morar, Ulyana, Izquierdo, Walter, Cabrerizo, Mercedes, Cabrera, Anastasio, Adjouadi, Malek

    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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  19. 19

    Graph neural networks in EEG spike detection by Mohammed, Ahmed Hossam, Cabrerizo, Mercedes, Pinzon, Alberto, Yaylali, Ilker, Jayakar, Prasanna, Adjouadi, Malek

    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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  20. 20

    A Cross-Correlated Delay Shift Supervised Learning Method for Spiking Neurons with Application to Interictal Spike Detection in Epilepsy by Guo, Lilin, Wang, Zhenzhong, Cabrerizo, Mercedes, Adjouadi, Malek

    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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