Faculty

Institution

Unit

Venue

Mercedes Cabrerizo

Ware Foundation Associate Professor

Florida International University

Affiliations

College of Engineering & Computing

School of Electrical, Computer and Enterprise Engineering

Department of Electrical and Computer Engineering

Mercedes Cabrerizo is currently serving as a College Of Engineering & Computing Ware Foundation Associate Professor at Florida International University.

Honors

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Experiences

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Education

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Mercedes Cabrerizo

Florida International University

Ware Foundation Associate Professor

You can click a keyword to filter the displayed items

neuroscience neurology cognitive neuroscience alzheimer's disease neuroimaging computational neuroscience electrophysiology epilepsy machine learning eeg signal processing systems neuroscience health sciences brain imaging neuroinformatics biomedical engineering mild cognitive impairment computational imaging clinical neuroscience biomedical imaging human-computer interaction disease classification brain science magnetic resonance imaging neural networks biomedical informatics quantitative science studies machine learning research information technology cancer imaging mammalian biology respiratory medicine 3d imaging computer-aided diagnosis 3d computer vision brain function myocardial infarction brain mapping interictal epileptiform discharges computational intelligence biomedical analysis neuroscience of aging classification method computer accessibility human-machine interfaces neural science biomedical technologies medical technology medical image analysis image denoising early diagnosis timefrequency analysis statistical signal processing audio signal processing gaussian analysis feature extraction cognitive electrophysiology gaussian denoising filters digital images pediatric epilepsy interictal spikes brain research seizure detection epileptogenic data functional connectivity maps apoe genotype cognitive test scores spinal surgeries interictal spike detection mathematical optimization decision science control system technology integral transforms intelligent classification learning classifier system decision fusion walsh transform visual science visual system signal processing neuroimaging modality

Notable Scholarly Works

Notable Federal Grants

Collaborators

Integrating Vision Transformer With Unet++ for Hippocampus Segmentation in Alzheimer’s Disease. (2024)

Thony Yan LiangChristian FreytesXueting CuiBipul SimkhadaMarcos Bosques-PerezMercedes CabrerizoArmando BarretoMalek Adjouadi

neuroinformaticssystems neuroscienceneurosciencebiomedical imagingcomputer sciencealzheimer's diseasehippocampus segmentationdeep learningimage representationcognitive sciencevision recognitionimage sensorscomputational neuroscienceneuroimagingmedical image computingbrain imagingvision transformervision sensorcomputational imagingvisual science

Spike Isolation From Background Signal in Neonatal Eeg Data Using an Integrated Independent Component Analysis Method. (2024)

Mina Ezzati AslJosue D. RodriguezMercedes CabrerizoAnuj JayakarArmando BarretoMalek Adjouadi

systems neurosciencespeech processingneuroscienceneurophysiologyphysiologycentral nervous systemspinal cordindependent component analysisspike isolationneonatal eeg datakinesiologyeeg signal processingchild neurologydevelopmental cognitive neuroscienceneuroimagingbrain imagingearly detectionelectrophysiologybackground signalmammalian biologysignal separation

An Integrated Approach for Focal Cortical Dysplasia Lesion Validation on Preoperative Assessments. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) (2023)

Josue D. RodriguezMercedes CabrerizoMarcos A. BosquesIlker YaylaliMalek Adjouadi

neurologypreoperative assessmentsmedical imagingneuroscience

Automated Hippocampus Segmentation and Volume Estimation Using a Transformer-Based Deep Learning Architecture. Research Square (Research Square) (2023)

Maryamossadat AghiliMehdi ShojaeMercedes CabrerizoNaphtali RisheRosie Cid CurielDavid VaillancourtSteven DeKoskyDavid LoewensteinRanjan DuaraMalek Adjouadi

neuroinformaticsneurologyhippocampus segmentationdeep learningbrain imagingvolume estimationcognitive neuroscienceneurosciencecomputational imagingcomputational neuroscienceneuroimagingmachine learning

Graph Neural Networks in Eeg Spike Detection. Artificial Intelligence in Medicine (2023)

Ahmed Hossam MohammedMercedes CabrerizoAlberto PinzonIlker YaylaliPrasanna JayakarMalek Adjouadi

artificial intelligencesystems neuroscienceeeg spike detectionelectrophysiologyneuroscienceeeg signal processingmedicinecomputational neurosciencehealth sciencesmachine learning

Prediction of Cognitive Test Scores From Variable Length Multimodal Data in Alzheimer’s Disease. Cognitive Computation (2023)

Ulyana MorarHarold MartinRobin P. M.Walter IzquierdoElaheh ZarafshanParisa ForouzannezhadElona UngerMercedes CabrerizoRosie E. Curiel CidMonica RosselliArmando BarretoNaphtali RisheDavid E. VaillancourtSteven T. DeKoskyDavid LoewensteinRanjan DuaraMalek Adjouadi

alzheimer's diseasecognitive neuroscienceneurosciencecognitive test scorescognitive sciencecomputational neurosciencestatistics

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. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring (2022)

Ulyana MorarWalter IzquierdoHarold MartinParisa ForouzannezhadElaheh ZarafshanElona UngerZoran BursacMercedes CabrerizoArmando BarretoDavid E. VaillancourtSteven T. DeKoskyDavid LoewensteinRanjan DuaraMalek Adjouadi

neurologyalzheimer's diseaseamyloid beta statusdiagnosisneuroscienceclinical neurosciencemultiple cerebrospinal fluidlongitudinal changeshealth sciences

A Tensorized Multitask Deep Learning Network for Progression Prediction of Alzheimer’s Disease. Frontiers in Aging Neuroscience (2022)

Solale TabarestaniMohammad EslamiMercedes CabrerizoRosie E. CurielArmando BarretoNaphtali RisheDavid VaillancourtSteven T. DeKoskyDavid A. LoewensteinRanjan DuaraMalek Adjouadi

neuroinformaticsneurologyalzheimer's diseasedeep learningcognitive neuroscienceneuroscienceprogression predictioncomputational neurosciencehealth sciencesmachine learning

A Transfer Learning Approach Based on Gradient Boosting Machine for Diagnosis of Alzheimer’s Disease. Frontiers in Aging Neuroscience (2022)

Mehdi ShojaieMercedes CabrerizoSteven T. DeKoskyDavid E. VaillancourtDavid LoewensteinRanjan DuaraMalek Adjouadi

transfer learningneurologyalzheimer's diseasediagnosiscomputer-aided diagnosiscognitive neuroscienceneurosciencegradient boosting machinecomputational neurosciencemachine learning

Comparison of Dimensionality Reduction Methods for Multimodal Classification of Early Stages of Alzheimer's Disease. 2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2022)

Luana Okino SawadaUlyana MorarRobin Perry MayrandChristian Yaphet FreytesMicheal AdeyosoyeMercedes CabrerizoRosie E. Curiel CidDavid LoewensteinRanjan DuaraMalek Adjouadi

neurologydimensionality reduction methodsalzheimer's diseasemultimodal classificationcognitive neuroscienceneurosciencedimensionality reductioncomputational imagingmachine learning researchearly stagesneuroimaginghealth sciencespattern recognitionmachine learning

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Mercedes Cabrerizo

Ware Foundation Associate Professor

Florida International University

Affiliations

College of Engineering & Computing

School of Electrical, Computer and Enterprise Engineering

Department of Electrical and Computer Engineering

Mercedes Cabrerizo is currently serving as a College Of Engineering & Computing Ware Foundation Associate Professor at Florida International University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Mercedes Cabrerizo

Florida International University

Ware Foundation Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Integrating Vision Transformer With Unet++ for Hippocampus Segmentation in Alzheimer’s Disease. (2024)

Thony Yan LiangChristian FreytesXueting CuiBipul SimkhadaMarcos Bosques-PerezMercedes CabrerizoArmando BarretoMalek Adjouadi

Spike Isolation From Background Signal in Neonatal Eeg Data Using an Integrated Independent Component Analysis Method. (2024)

Mina Ezzati AslJosue D. RodriguezMercedes CabrerizoAnuj JayakarArmando BarretoMalek Adjouadi

An Integrated Approach for Focal Cortical Dysplasia Lesion Validation on Preoperative Assessments. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...) (2023)

Josue D. RodriguezMercedes CabrerizoMarcos A. BosquesIlker YaylaliMalek Adjouadi

neurologypreoperative assessmentsmedical imagingneuroscience

Automated Hippocampus Segmentation and Volume Estimation Using a Transformer-Based Deep Learning Architecture. Research Square (Research Square) (2023)

Maryamossadat AghiliMehdi ShojaeMercedes CabrerizoNaphtali RisheRosie Cid CurielDavid VaillancourtSteven DeKoskyDavid LoewensteinRanjan DuaraMalek Adjouadi

Graph Neural Networks in Eeg Spike Detection. Artificial Intelligence in Medicine (2023)

Ahmed Hossam MohammedMercedes CabrerizoAlberto PinzonIlker YaylaliPrasanna JayakarMalek Adjouadi

artificial intelligencesystems neuroscienceeeg spike detectionelectrophysiologyneuroscienceeeg signal processingmedicinecomputational neurosciencehealth sciencesmachine learning

Prediction of Cognitive Test Scores From Variable Length Multimodal Data in Alzheimer’s Disease. Cognitive Computation (2023)

alzheimer's diseasecognitive neuroscienceneurosciencecognitive test scorescognitive sciencecomputational neurosciencestatistics

neurologyalzheimer's diseaseamyloid beta statusdiagnosisneuroscienceclinical neurosciencemultiple cerebrospinal fluidlongitudinal changeshealth sciences

A Tensorized Multitask Deep Learning Network for Progression Prediction of Alzheimer’s Disease. Frontiers in Aging Neuroscience (2022)

Solale TabarestaniMohammad EslamiMercedes CabrerizoRosie E. CurielArmando BarretoNaphtali RisheDavid VaillancourtSteven T. DeKoskyDavid A. LoewensteinRanjan DuaraMalek Adjouadi

neuroinformaticsneurologyalzheimer's diseasedeep learningcognitive neuroscienceneuroscienceprogression predictioncomputational neurosciencehealth sciencesmachine learning

A Transfer Learning Approach Based on Gradient Boosting Machine for Diagnosis of Alzheimer’s Disease. Frontiers in Aging Neuroscience (2022)

Mehdi ShojaieMercedes CabrerizoSteven T. DeKoskyDavid E. VaillancourtDavid LoewensteinRanjan DuaraMalek Adjouadi

transfer learningneurologyalzheimer's diseasediagnosiscomputer-aided diagnosiscognitive neuroscienceneurosciencegradient boosting machinecomputational neurosciencemachine learning

Luana Okino SawadaUlyana MorarRobin Perry MayrandChristian Yaphet FreytesMicheal AdeyosoyeMercedes CabrerizoRosie E. Curiel CidDavid LoewensteinRanjan DuaraMalek Adjouadi

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