Johns Hopkins Whiting School of Engineering

Institute for Computational Medicine

Johns Hopkins Whiting School of Engineering
Johns Hopkins Whiting School of Engineering
Johns Hopkins Whiting School of Engineering

Institute for Computational Medicine

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Home 5 Publication ( Page 9 )

Publication

Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology

Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology

Aug 30, 2018

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Termination of re-entrant atrial tachycardia via optogenetic stimulation with optimized spatial targeting: insights from computational models

Termination of re-entrant atrial tachycardia via optogenetic stimulation with optimized spatial targeting: insights from computational models

Aug 30, 2018

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Comparing Reentrant Drivers Predicted by Image-Based Computational Modeling and Mapped by Electrocardiographic Imaging in Persistent Atrial Fibrillation

Comparing Reentrant Drivers Predicted by Image-Based Computational Modeling and Mapped by Electrocardiographic Imaging in Persistent Atrial Fibrillation

Aug 30, 2018

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Johns Hopkins University, Whiting School of Engineering

Johns Hopkins University
Institute for Computational Medicine
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  • About
    • Mission & Vision
    • Related Centers & Institutes
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    • Faculty
    • Staff
    • Alumni
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    • Undergraduate Minor
    • MS Programs
    • PhD Programs
  • Seminars & Events
    • Upcoming Events
    • Calendar
  • News
  • Get Involved