Faculty

Institution

Unit

Venue

Mehdi Razavi

Associate Professor

Baylor College of Medicine

Affiliations

Baylor College of Medicine Research

Mehdi Razavi is currently serving as a Baylor College Of Medicine Research Associate Professor at Baylor College of Medicine.

Honors

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Experiences

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Education

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Mehdi Razavi

Baylor College of Medicine

Associate Professor

You can click a keyword to filter the displayed items

cardiology electrophysiology cardiovascular interventions anesthesiology cardiovascular disease cardiovascular research respiratory medicine electrophysiological evaluation medicine neurology physiological measurements circulatory physiology atrial fibrillation pharmacology cardiovascular physiology cardiovascular surgery machine learning cardiovascular imaging medical electronics tissue engineering implantable devices cardiovascular pharmacology deep learning cardiac muscle cardiothoracic surgery cerebrovascular disease radiofrequency ablation cardiac arrhythmias clinical research intensive care medical technology carbon nanotube fibers nanotechnology biomedical informatics vascular biology fiber science cardiomyopathy convolutional neural networks cardiac resynchronization therapy sudden cardiac death cardiac perforation leadless pacemakers power electronics applied physiology nanobiotechnology real-time monitoring anesthetic management postoperative atrial fibrillation primary prevention intracardiac electrograms low-power electronics asic implementation structural heart disease tissue physiology frailty endovascular techniques ventricular tachycardia permanent atrial fibrillation stroke prevention contact-force recovery cellular physiology medical internet research animal physiology field trial in vivo systems therapeutic nanomaterials sensor technology sensor arrays sensor design chronic disease management meta-analysis veterinary physiology blood pressure drug safety medical biophysics thermal processing medicinal chemistry cardiac pathologies

Notable Scholarly Works

Notable Federal Grants

Collaborators

Distributed Battery-Free Bioelectronic Implants With Improved Network Power Transfer Efficiency via Magnetoelectrics. Nature Biomedical Engineering (2025)

medical electronicsbattery-free bioelectronic implantsimplantable devicesbiomedical circuitsengineeringwireless power transmissionpower deliverywireless implantable devicesbioelectronicselectrical engineeringbiomedical engineeringpower electronicslow-power electronicsenergy storageenergy harvesting

Impact of Additional Left Atrial Lines Beyond Pulmonary Vein Isolation: Analysis of the Cabana Trial. Journal of the American Heart Association (2025)

echocardiographycardiovascular diseasecardiovascular researchcardiologycardiovascular interventionsanesthesiologypulmonary circulationcardiovascular imagingcabana trialemergency medicinecardiac pathologiesvenous disease

Injectable Ionic Hydrogel Conductors: Advancing Material Design to Transform Cardiac Pacing. Biomaterials (2025)

Gabriel J. Rodriguez-RiveraAllison PostMathews JohnDerek BasheFei XuTrace LarueAbbey NkansahMegan WancuraMalgorzata ChwatkoChristina WaldronNikhith KalkunteJanet ZoldanMathieu ArseneaultAbdou ElgaladManuel K. RauschMehdi RazaviElizabeth Cosgriff-Hernandez

biological engineeringadvanced materialsadvanced designbiomaterials designconducting polymersmaterial designfibersmechanical engineeringwear-resistant materialbiocompatible materialsbiomedical engineeringcardiac pacingsmart materialsbiomechanical engineeringbiomaterialstissue engineeringbiofabrication

Reconstructing 12-Lead Ecg From Reduced Lead Sets Using an Encoder–Decoder Convolutional Neural Network. Biomedical Signal Processing and Control (2025)

Dorsa EPMoghaddamAnton BantaAllison PostMehdi RazaviBehnaam Aazhang

convolutional neural networksbiomedical informaticssignal processingbiomedical analysisbiosignal processingmedical imagingelectrophysiologybiomedical technologiesbiomedical engineeringneural network (machine learning)systems biologyneuroimagingbiomedical computingbiomedical imaging

A Graph-Based Cardiac Arrhythmia Classification Methodology Using One-Lead Ecg Recordings. Intelligent Systems with Applications (2024)

Dorsa EPMoghaddamAnanya MuguliMehdi RazaviBehnaam Aazhang

artificial intelligencecomputer sciencesystems engineeringcardiologyintelligent systemssignal processingbiomedical informaticsgraph processingone-lead ecg recordingsgraph signal processingelectrophysiologyclassification methodapplied intelligent systemgraph analysisapplied mathematics

Carbon Nanotube Fibers Reduce Scar Based Reentrant Arrhythmias. Journal of the American College of Cardiology (2024)

Ken LizamaFrancisco Javier Gonzalez-GonzalezAbdelmotagaly ElgaladAnahita AboonabiMehdi RazaviMark McCauley

cardiovascular diseaseneuroscienceemergency medicinecarbon nanotubescardiovascular interventionshematologycardiovascular surgerycardiothoracic surgerycardiac musclecardiovascular physiologymyocardial infarctioncardiologyrespiratory medicinereentrant arrhythmiastissue engineeringneurologycardiovascular researchcarbon nanotube fibersfiber sciencecardiac pathologies

Cardiac Condition Classification Using 12-Lead Ecg Recordings. 2014 48th Asilomar Conference on Signals, Systems and Computers (2024)

Dorsa EPMoghaddamMehdi RazaviBehnaam Aazhang

systems engineeringbiomedical informaticssignal processingmedical imagingstatistical signal processingpatient monitoringcardiac condition classification

Ce-482889-002 a Race-Agnostic Machine Learning-Based Model Improves Incident Atrial Fibrillation Prediction. Heart Rhythm (2024)

Matthew SegarByron C. JaegerKershaw V. PatelShreya RaoMehdi RazaviMohammad SaeedUtibe R. EssienAmbarish Pandey

biostatisticscardiologyepidemiologyhealth sciencesmachine learning

Enhancing Boundary Detection of Radiofrequency Ablation Lesions Through Photoacoustic Mapping. Scientific Reports (2024)

Shang GaoHaotian LiuAllison PostLukas JaworskiDrew BernardMathews JohnElizabeth Cosgriff-HernandezMehdi RazaviHaichong K. Zhang

medical image computingspa imagingdiagnostic imagingcardiologyadvanced imagingatrial fibrillationmedical imagingfunctional imagingradiologybiomedical engineeringcardiovascular imagingboundary detectionbiomedical imaging

ID: 4118785 Predicting Aortic Stenosis in the Community Using an Artificial Intelligence Model for 12-Lead Electrocardiograms. Heart Rhythm (2024)

M. SegarR. PaisleyA. PostalianN. RazviM. Razavi

artificial intelligenceartificial intelligence modelhealth sciencesaortic stenosis

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Mehdi Razavi

Associate Professor

Baylor College of Medicine

Affiliations

Baylor College of Medicine Research

Mehdi Razavi is currently serving as a Baylor College Of Medicine Research Associate Professor at Baylor College of Medicine.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Mehdi Razavi

Baylor College of Medicine

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Distributed Battery-Free Bioelectronic Implants With Improved Network Power Transfer Efficiency via Magnetoelectrics. Nature Biomedical Engineering (2025)

Impact of Additional Left Atrial Lines Beyond Pulmonary Vein Isolation: Analysis of the Cabana Trial. Journal of the American Heart Association (2025)

Injectable Ionic Hydrogel Conductors: Advancing Material Design to Transform Cardiac Pacing. Biomaterials (2025)

Reconstructing 12-Lead Ecg From Reduced Lead Sets Using an Encoder–Decoder Convolutional Neural Network. Biomedical Signal Processing and Control (2025)

Dorsa EPMoghaddamAnton BantaAllison PostMehdi RazaviBehnaam Aazhang

A Graph-Based Cardiac Arrhythmia Classification Methodology Using One-Lead Ecg Recordings. Intelligent Systems with Applications (2024)

Dorsa EPMoghaddamAnanya MuguliMehdi RazaviBehnaam Aazhang

Carbon Nanotube Fibers Reduce Scar Based Reentrant Arrhythmias. Journal of the American College of Cardiology (2024)

Ken LizamaFrancisco Javier Gonzalez-GonzalezAbdelmotagaly ElgaladAnahita AboonabiMehdi RazaviMark McCauley

Cardiac Condition Classification Using 12-Lead Ecg Recordings. 2014 48th Asilomar Conference on Signals, Systems and Computers (2024)

Dorsa EPMoghaddamMehdi RazaviBehnaam Aazhang

systems engineeringbiomedical informaticssignal processingmedical imagingstatistical signal processingpatient monitoringcardiac condition classification

Ce-482889-002 a Race-Agnostic Machine Learning-Based Model Improves Incident Atrial Fibrillation Prediction. Heart Rhythm (2024)

Matthew SegarByron C. JaegerKershaw V. PatelShreya RaoMehdi RazaviMohammad SaeedUtibe R. EssienAmbarish Pandey

biostatisticscardiologyepidemiologyhealth sciencesmachine learning

Enhancing Boundary Detection of Radiofrequency Ablation Lesions Through Photoacoustic Mapping. Scientific Reports (2024)

Shang GaoHaotian LiuAllison PostLukas JaworskiDrew BernardMathews JohnElizabeth Cosgriff-HernandezMehdi RazaviHaichong K. Zhang

ID: 4118785 Predicting Aortic Stenosis in the Community Using an Artificial Intelligence Model for 12-Lead Electrocardiograms. Heart Rhythm (2024)

M. SegarR. PaisleyA. PostalianN. RazviM. Razavi

artificial intelligenceartificial intelligence modelhealth sciencesaortic stenosis

1
2
3
4
5
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10 / page

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cardiology

heart failure

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Jonathan Halperin

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