M. Cabrerizo

发表

Induced Effects of Transcranial Magnetic Stimulation on the Autonomic Nervous System and the Cardiac Rhythm

Malek Adjouadi, Mercedes Cabrerizo, Alberto Pinzon-Ardila, 2014, TheScientificWorldJournal.

A survey on applications and analysis methods of functional magnetic resonance imaging for Alzheimer’s disease

M. Adjouadi, D. Loewenstein, R. Duara, 2019, Journal of Neuroscience Methods.

The Relationship of Brain Amyloid Load and APOE Status to Regional Cortical Thinning and Cognition in the ADNI Cohort.

M. Adjouadi, D. Loewenstein, W. Barker, 2017, Journal of Alzheimer's disease : JAD.

Classification of Leukemia Blood Samples Using Neural Networks

Malek Adjouadi, Nuannuan Zong, Mercedes Cabrerizo, 2010, Annals of Biomedical Engineering.

Robust prediction of cognitive test scores in Alzheimer's patients

N. Rishe, M. Adjouadi, A. Barreto, 2017, IEEE Signal Processing in Medicine and Biology Symposium.

Greater Regional Cortical Thickness is Associated with Selective Vulnerability to Atrophy in Alzheimer's Disease, Independent of Amyloid Load and APOE Genotype.

M. Adjouadi, D. Loewenstein, W. Barker, 2019, Journal of Alzheimer's disease : JAD.

Can EEG processing reveal seizure prediction patterns

Naphtali Rishe, Armando Barreto, Malek Adjouadi, 2007 .

A New Parametric Feature Descriptor for the Classification of Epileptic and Control EEG Records in Pediatric Population

Malek Adjouadi, Mercedes Cabrerizo, Melvin Ayala, 2012, Int. J. Neural Syst..

Quasi-Stationarity of EEG for Intraoperative Monitoring during Spinal Surgeries

M. Adjouadi, I. Yaylali, M. Cabrerizo, 2014, TheScientificWorldJournal.

A Tensorized Multitask Deep Learning Network for Progression Prediction of Alzheimer’s Disease

S. DeKosky, N. Rishe, M. Adjouadi, 2022, Frontiers in Aging Neuroscience.

Connectivity patterns of interictal epileptiform discharges using coherence analysis

M. Adjouadi, A. Barreto, M. Cabrerizo, 2016, 2016 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

An effective novel patient specific Gaussian template based scheme for somatosensory evoked potential detection

M. Adjouadi, I. Yaylali, M. Cabrerizo, 2011, 2011 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

Regional MRI measures and neuropsychological test for multi-dimensional analysis in Alzheimer's disease

M. Adjouadi, Q. Zhou, W. Barker, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

A Neuroimaging Feature Extraction Model for Imaging Genetics with Application to Alzheimer's Disease

Armando Barreto, Malek Adjouadi, Chen Fang, 2017, 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE).

A novel semi-automatic method for accurate registration of FDG_CT and FLT_CT image modalities

M. Adjouadi, Zhenzhong Wang, M. Cabrerizo, 2015, 2015 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

A practical guideline for intracranial volume estimation in patients with Alzheimer's disease

Gang Chen, Arman Sargolzaei, Malek Adjouadi, 2015, BMC Bioinformatics.

Estimating Intracranial Volume in Brain Research: An Evaluation of Methods

M. Adjouadi, A. Sargolzaei, S. Sargolzaei, 2015, Neuroinformatics.

Dynamics of Electrical Activity in Epileptic Brain and Induced Changes Due to Interictal Epileptiform Discharges

Malek Adjouadi, Mercedes Cabrerizo, Ahmed Hossam Mohammed, 2022, IEEE Access.

Penalized Functional Connectivity Maps for Patients With Focal Epilepsy

Ilker Yaylali, Malek Adjouadi, Mercedes Cabrerizo, 2021, IEEE Access.

Characterizing Focal and Generalized Epileptic Networks Using Interictal Functional Connectivity

M. Adjouadi, M. Cabrerizo, Parisa Forouzannezhad, 2020, 2020 International Conference on Computational Science and Computational Intelligence (CSCI).

Dynamics and Distant Effects of Frontal/Temporal Epileptogenic Focus Using Functional Connectivity Maps

Naphtali Rishe, Ilker Yaylali, Armando Barreto, 2020, IEEE Transactions on Biomedical Engineering.

Connectivity Dynamics of Interictal Epileptiform Activity

Armando Barreto, Malek Adjouadi, Mercedes Cabrerizo, 2017, 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE).

An effective intra-operative neurophysiological monitoring scheme for aneurysm clipping and spinal fusion surgeries

Malek Adjouadi, Mercedes Cabrerizo, Mohammed Goryawala, 2012, Journal of neural engineering.

Peak Detection of Somatosensory Evoked Potentials Using an Integrated Principal Component Analysis–Walsh Method

Malek Adjouadi, Mercedes Cabrerizo, Mohammed Goryawala, 2012, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

Subdural EEG Classification Into Seizure and Nonseizure Files Using Neural Networks in the Gamma Frequency Band

Malek Adjouadi, Mercedes Cabrerizo, Melvin Ayala, 2011, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

A transfer learning approach based on gradient boosting machine for diagnosis of Alzheimer’s disease

S. DeKosky, M. Adjouadi, D. Loewenstein, 2022, Frontiers in Aging Neuroscience.

PET Imaging of Tau Pathology and Amyloid-β, and MRI for Alzheimer's Disease Feature Fusion and Multimodal Classification.

S. DeKosky, M. Adjouadi, D. Loewenstein, 2021, Journal of Alzheimer's disease : JAD.

Classification of Interictal Epileptiform Discharges using Partial Directed Coherence

Malek Adjouadi, Mercedes Cabrerizo, Chen Fang, 2017, 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE).

A Gaussian-based model for early detection of mild cognitive impairment using multimodal neuroimaging

Malek Adjouadi, Alireza Abbaspour, Chunfei Li, 2019, Journal of Neuroscience Methods.

Survey on mixed impulse and Gaussian denoising filters

N. Rishe, M. Adjouadi, A. Barreto, 2020, IET Image Process..

A comprehensive survey on impulse and Gaussian denoising filters for digital images

Armando Barreto, Malek Adjouadi, Mercedes Cabrerizo, 2019, Signal Process..

Denoising of ultrasound images affected by combined speckle and Gaussian noise

Armando Barreto, Malek Adjouadi, Mercedes Cabrerizo, 2018, IET Image Process..

A Robust Edge Detection Approach in the Presence of High Impulse Noise Intensity Through Switching Adaptive Median and Fixed Weighted Mean Filtering

Malek Adjouadi, Mercedes Cabrerizo, Hoda Rajaei, 2018, IEEE Transactions on Image Processing.

A cognitive stress test for prodromal Alzheimer's disease: Multiethnic generalizability

S. DeKosky, M. Adjouadi, R. Bauer, 2019, Alzheimer's & Dementia.

A Gaussian discriminant analysis-based generative learning algorithm for the early diagnosis of mild cognitive impairment in Alzheimer's disease

Armando Barreto, Malek Adjouadi, Chen Fang, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Web Platform for data acquisition and analysis for Alzheimer's disease

Malek Adjouadi, Mercedes Cabrerizo, Ranjan Duara, 2016, SoutheastCon 2016.

An Optimal Decisional Space for the Classification of Alzheimer's Disease and Mild Cognitive Impairment

Jin Wang, Malek Adjouadi, Qi Zhou, 2014, IEEE Transactions on Biomedical Engineering.

Significance of Normalization on Anatomical MRI Measures in Predicting Alzheimer's Disease

Malek Adjouadi, Mercedes Cabrerizo, Ranjan Duara, 2014, TheScientificWorldJournal.

Combining Anatomical Biomarkers with Neuropsychological Data for Multidimensional Classification of Alzheimer ’ s Disease

M. Adjouadi, W. Barker, R. Duara, 2013 .

Gaussian discriminative component analysis for early detection of Alzheimer’s disease: A supervised dimensionality reduction algorithm

Malek Adjouadi, Chunfei Li, Chen Fang, 2020, Journal of Neuroscience Methods.

Remote Eye Gaze Tracking System as a Computer Interface for Persons with Severe Motor Disability

Malek Adjouadi, Mercedes Cabrerizo, Melvin Ayala, 2004, ICCHP.

Malek Adjouadi, Mercedes Cabrerizo, Zhenzhong Wang, 2017, Int. J. Neural Syst..

Application of cross-correlated delay shift rule in spiking neural networks for interictal spike detection

Malek Adjouadi, Mercedes Cabrerizo, Zhenzhong Wang, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Multivariate Analysis of structural MRI and PET (FDG and 18F-AV-45) for Alzheimer's disease and its prodromal stages

Malek Adjouadi, Mercedes Cabrerizo, Ranjan Duara, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A distributed multitask multimodal approach for the prediction of Alzheimer’s disease in a longitudinal study

Naphtali Rishe, Armando Barreto, Malek Adjouadi, 2020, NeuroImage.

Pattern analysis of the interaction of regional amyloid load, cortical thickness and APOE genotype in the progression of Alzheimer's disease

Armando Barreto, Malek Adjouadi, Chen Fang, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A probabilistic approach for pediatric epilepsy diagnosis using brain functional connectivity networks

Arman Sargolzaei, Malek Adjouadi, Mercedes Cabrerizo, 2015, BMC Bioinformatics.

Pediatric epilepsy: Clustering by functional connectivity using phase synchronization

Malek Adjouadi, Mercedes Cabrerizo, Saman Sargolzaei, 2015, 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS).

A study of the longitudinal changes in multiple cerebrospinal fluid and volumetric magnetic resonance imaging biomarkers on converter and non‐converter Alzheimer's disease subjects with consideration for their amyloid beta status

S. DeKosky, M. Adjouadi, A. Barreto, 2022, Alzheimer's & dementia.

Seizure Detection: An Assessment of Time- and Frequency-Based Features in a Unified Two-Dimensional Decisional Space Using Nonlinear Decision Functions

Malek Adjouadi, Mercedes Cabrerizo, Melvin Ayala, 2009, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

Classification of electroencephalographic seizure recordings into ictal and interictal files using correlation sum

Armando Barreto, Malek Adjouadi, Mercedes Cabrerizo, 2009, Comput. Biol. Medicine.

A Comparative Study of Intracranial EEG Files Using Nonlinear Classification Methods

Malek Adjouadi, Mercedes Cabrerizo, Melvin Ayala, 2009, Annals of Biomedical Engineering.

Scalp EEG brain functional connectivity networks in pediatric epilepsy

Malek Adjouadi, Mercedes Cabrerizo, Mohammed Goryawala, 2015, Comput. Biol. Medicine.

Adaptive eye-gaze tracking using neural-network-based user profiles to assist people with motor disability.

Armando Barreto, Malek Adjouadi, Mercedes Cabrerizo, 2008, Journal of rehabilitation research and development.

Real-time frequency-independent single-Lead and single-beat myocardial infarction detection

M. Adjouadi, M. Cabrerizo, A. Cabrera, 2021, Artif. Intell. Medicine.

CLASSIFICATION AND MEDICAL DIAGNOSIS OF SCALP EEG USING ARTIFICIAL NEURAL NETWORKS

Malek Adjouadi, Mercedes Cabrerizo, Melvin Ayala, 2011 .

Application of the Walsh transform towards seizure detection

Naphtali Rishe, Ilker Yaylali, Armando Barreto, 2007 .

Epilepsy, a Cyberattack on Brains’ Networked Control System

Arman Sargolzaei, Malek Adjouadi, Mercedes Cabrerizo, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Comparative reliability analysis of publicly available software packages for automatic intracranial volume estimation

Malek Adjouadi, Mercedes Cabrerizo, Ranjan Duara, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

An Eye Gaze Tracking System Using Customized User Profiles to Help Persons with Motor Challenges Access Computers

Armando Barreto, Malek Adjouadi, Mercedes Cabrerizo, 2008, ICCHP.

Connectivity maps of different types of epileptogenic patterns

Malek Adjouadi, Mercedes Cabrerizo, Panuwat Janwattanapong, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

EEG analysis using neural networks for seizure detection

Naphtali Rishe, Ilker Yaylali, Armando Barreto, 2007 .

Prediction Modeling of Alzheimer’s Disease and Its Prodromal Stages from Multimodal Data with Missing Values

Naphtali Rishe, Armando Barreto, Malek Adjouadi, 2019 .

Detection of Interictal Spikes and Artifactual Data Through Orthogonal Transformations

Ilker Yaylali, Armando Barreto, Malek Adjouadi, 2005, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

Parallelizing Electroencephalogram Processing on a Many-Core Platform for the Detection of High Frequency Oscillations

Malek Adjouadi, Paul McCall, Mercedes Cabrerizo, 2011 .

Resting state functional connectivity based on principal component transformation of cortical fMRI measurements

M. Adjouadi, M. Cabrerizo, S. Sargolzaei, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

A somatosensory evoked potential monitoring algorithm using time frequency filtering

Malek Adjouadi, Mercedes Cabrerizo, Mohammed Goryawala, 2013, 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER).

EEG processing: a many-core approach utilising the Intel single-chip cloud computer platform

Malek Adjouadi, Paul McCall, Mercedes Cabrerizo, 2017, Int. J. Embed. Syst..

Spatial and temporal analysis of interictal activity in the epileptic brain

M. Adjouadi, M. Cabrerizo, P. McCall, 2012, 2012 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

Interictal spike detection using the Walsh transform

Ilker Yaylali, Armando Barreto, Malek Adjouadi, 2004, IEEE Transactions on Biomedical Engineering.

Classification of fMRI patterns—A study of the language network segregation in pediatric localization related epilepsy

Malek Adjouadi, Mercedes Cabrerizo, Bruce Bjornson, 2014, Human brain mapping.

Longitudinal Prediction Modeling of Alzheimer Disease using Recurrent Neural Networks

Naphtali Rishe, Armando Barreto, Malek Adjouadi, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Gaussian Discriminant Analysis for Optimal Delineation of Mild Cognitive Impairment in Alzheimer's Disease

Naphtali Rishe, Armando Barreto, Malek Adjouadi, 2018, Int. J. Neural Syst..

A Novel Gaussian Discriminant Analysis-based Computer Aided Diagnosis System for Screening Different Stages of Alzheimer's Disease

Armando Barreto, Malek Adjouadi, Chen Fang, 2017, 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering (BIBE).

RNN-LSTM network over a seven-year period to predict multiple AD biomarkers for one subsequent time point

N. Rishe, M. Adjouadi, A. Barreto, 2019 .

Functional connectivity network based on graph analysis of scalp EEG for epileptic classification

Malek Adjouadi, Mercedes Cabrerizo, Mohammed Goryawala, 2013, 2013 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

Near real-time single-beat myocardial infarction detection from single-lead electrocardiogram using Long Short-Term Memory Neural Network

Malek Adjouadi, Mercedes Cabrerizo, Harold Martin, 2021, Biomed. Signal Process. Control..

Diagnosis of Pediatrics Epilepsy Based on Graph Analysis of Scalp EEG Applying Mutual Information

M. Adjouadi, I. Yaylali, M. Cabrerizo, 2022, 2022 International Conference on Computational Science and Computational Intelligence (CSCI).

Comparison of Dimensionality Reduction Methods for Multimodal Classification of Early Stages of Alzheimer's Disease

M. Adjouadi, D. Loewenstein, R. Duara, 2022, 2022 International Conference on Computational Science and Computational Intelligence (CSCI).

Computerized neuropsychological assessment in mild cognitive impairment based on natural language processing-oriented feature extraction

Armando Barreto, Malek Adjouadi, Chen Fang, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Classification of fMRI patterns—A study of the language network segregation in pediatric localization related epilepsy

M. Adjouadi, W. Gaillard, X. You, 2014, Human brain mapping.

A 3-D Liver Segmentation Method with Parallel Computing for Selective Internal Radiation Therapy

Armando Barreto, Malek Adjouadi, Mercedes Cabrerizo, 2012, IEEE Transactions on Information Technology in Biomedicine.

Subdural EEG Classification Into Seizure and Nonseizure Files Using Neural Networks in the Gamma Frequency Band

M. Adjouadi, P. Jayakar, M. Cabrerizo, 2011, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

Coherence Analysis of Subdural EEG towards the Delineation of Electrodes that Initiates Epileptic Seizures

M. Adjouadi, M. Cabrerizo, M. Ayala, 2009 .

A spreadsheet application for processing long-term EEG recordings

Armando Barreto, Malek Adjouadi, Mercedes Cabrerizo, 2009, Comput. Biol. Medicine.

Integrated Study of Topographical Functional Maps Based on an Auditory Comprehension Paradigm Using an Eigensystem Study and Spectrum Analysis

Gustavo Rey, Ilker Yaylali, Malek Adjouadi, 2005, Brain Topography.

Real-time R-spike detection in the cardiac waveform through independent component analysis

Malek Adjouadi, Mercedes Cabrerizo, Harold Martin, 2017, 2017 IEEE Signal Processing in Medicine and Biology Symposium (SPMB).

An Integrated Approach for Focal Cortical Dysplasia Lesion Validation on Preoperative Assessments

M. Adjouadi, I. Yaylali, M. Cabrerizo, 2023, 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI).