Fijoy Vadakkumpadan

Summary

Affiliation: Johns Hopkins University
Country: USA

Publications

  1. pmc Image-based left ventricular shape analysis for sudden cardiac death risk stratification
    Fijoy Vadakkumpadan
    Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland Electronic address
    Heart Rhythm 11:1693-700. 2014
  2. doi request reprint Left-ventricular shape analysis for predicting sudden cardiac death risk
    Fijoy Vadakkumpadan
    Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:4067-70. 2012
  3. pmc Image-based estimation of ventricular fiber orientations for personalized modeling of cardiac electrophysiology
    Fijoy Vadakkumpadan
    Institute for Computational Medicine and Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
    IEEE Trans Med Imaging 31:1051-60. 2012
  4. pmc Image-based estimation of ventricular fiber orientations for patient-specific simulations
    Fijoy Vadakkumpadan
    Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:1672-5. 2011
  5. doi request reprint Approximation of optimal surface parameterizations and the application in cerebral cortex mapping
    Fijoy Vadakkumpadan
    Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
    Brain Struct Funct 212:497-511. 2008
  6. pmc Image-based models of cardiac structure in health and disease
    Fijoy Vadakkumpadan
    Institute for Computational Medicine and the Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
    Wiley Interdiscip Rev Syst Biol Med 2:489-506. 2010
  7. pmc Mechanistic inquiry into the role of tissue remodeling in fibrotic lesions in human atrial fibrillation
    Kathleen S McDowell
    The Johns Hopkins University, Department of Biomedical Engineering and Institute for Computational Medicine, Baltimore, Maryland, USA
    Biophys J 104:2764-73. 2013
  8. pmc Image-based models of cardiac structure with applications in arrhythmia and defibrillation studies
    Fijoy Vadakkumpadan
    Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, MD, USA
    J Electrocardiol 42:157.e1-10. 2009
  9. pmc Virtual electrophysiological study of atrial fibrillation in fibrotic remodeling
    Kathleen S McDowell
    The Johns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland, United States of America
    PLoS ONE 10:e0117110. 2015
  10. pmc Feasibility of image-based simulation to estimate ablation target in human ventricular arrhythmia
    Hiroshi Ashikaga
    Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
    Heart Rhythm 10:1109-16. 2013

Collaborators

Detail Information

Publications14

  1. pmc Image-based left ventricular shape analysis for sudden cardiac death risk stratification
    Fijoy Vadakkumpadan
    Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, Baltimore, Maryland Electronic address
    Heart Rhythm 11:1693-700. 2014
    ..Low left ventricular ejection fraction (LVEF), the main criterion used in the current clinical practice to stratify sudden cardiac death (SCD) risk, has low sensitivity and specificity...
  2. doi request reprint Left-ventricular shape analysis for predicting sudden cardiac death risk
    Fijoy Vadakkumpadan
    Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:4067-70. 2012
    ..We tested the methodology with data from a small cohort of patients, classified into two groups based on SCD risk. The results demonstrate that our approach is able to locate systematic wall thickness differences between the two groups...
  3. pmc Image-based estimation of ventricular fiber orientations for personalized modeling of cardiac electrophysiology
    Fijoy Vadakkumpadan
    Institute for Computational Medicine and Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
    IEEE Trans Med Imaging 31:1051-60. 2012
    ....
  4. pmc Image-based estimation of ventricular fiber orientations for patient-specific simulations
    Fijoy Vadakkumpadan
    Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:1672-5. 2011
    ..The new insights obtained from the project will pave the way for the development of patient-specific models of the heart that can aid physicians in personalized diagnosis and decisions regarding electrophysiological interventions...
  5. doi request reprint Approximation of optimal surface parameterizations and the application in cerebral cortex mapping
    Fijoy Vadakkumpadan
    Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
    Brain Struct Funct 212:497-511. 2008
    ..This low-dimensional approximation reduces the computational complexity while minimizing the error...
  6. pmc Image-based models of cardiac structure in health and disease
    Fijoy Vadakkumpadan
    Institute for Computational Medicine and the Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
    Wiley Interdiscip Rev Syst Biol Med 2:489-506. 2010
    ..These models contain millions of elements, with spatial resolutions in the order of hundreds of microns, providing unprecedented detail in the representation of cardiac structure for simulation studies...
  7. pmc Mechanistic inquiry into the role of tissue remodeling in fibrotic lesions in human atrial fibrillation
    Kathleen S McDowell
    The Johns Hopkins University, Department of Biomedical Engineering and Institute for Computational Medicine, Baltimore, Maryland, USA
    Biophys J 104:2764-73. 2013
    ..Collagen did not alter the arrhythmogenic outcome resulting from the other fibrosis components. Reentrant circuits formed throughout the noncontiguous fibrotic lesions, without anchoring to a specific fibrotic lesion. ..
  8. pmc Image-based models of cardiac structure with applications in arrhythmia and defibrillation studies
    Fijoy Vadakkumpadan
    Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, MD, USA
    J Electrocardiol 42:157.e1-10. 2009
    ..The models represent cardiac structure with unprecedented detail for simulation studies...
  9. pmc Virtual electrophysiological study of atrial fibrillation in fibrotic remodeling
    Kathleen S McDowell
    The Johns Hopkins University, Department of Biomedical Engineering, Baltimore, Maryland, United States of America
    PLoS ONE 10:e0117110. 2015
    ..The study demonstrates that a patient-specific modeling approach to identify non-invasively AF ablation targets prior to the clinical procedure is feasible. ..
  10. pmc Feasibility of image-based simulation to estimate ablation target in human ventricular arrhythmia
    Hiroshi Ashikaga
    Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
    Heart Rhythm 10:1109-16. 2013
    ..Previous studies suggest that magnetic resonance imaging with late gadolinium enhancement (LGE) may identify slowly conducting tissues in scar-related ventricular tachycardia (VT)...
  11. pmc Methodology for patient-specific modeling of atrial fibrosis as a substrate for atrial fibrillation
    Kathleen S McDowell
    The Johns Hopkins University, Department of Biomedical Engineering and Institute for Computational Medicine, Baltimore, MD, USA
    J Electrocardiol 45:640-5. 2012
    ..A proof-of-concept simulation result of reentrant circuits underlying atrial fibrillation in the model of the patient's fibrotic atrium is presented to demonstrate the completion of methodology development...
  12. pmc Computational cardiology: how computer simulations could be used to develop new therapies and advance existing ones
    Natalia A Trayanova
    Department of Biomedical Engineering, Institute for Computational Medicine, Johns Hopkins University, Baltimore, MD 21218, USA
    Europace 14:v82-v89. 2012
    ....
  13. pmc Placement of implantable cardioverter-defibrillators in paediatric and congenital heart defect patients: a pipeline for model generation and simulation prediction of optimal configurations
    Lukas J Rantner
    N A Trayanova Johns Hopkins University, 3400 N Charles St, 216 Hackerman Hall, Baltimore, MD 21218, USA
    J Physiol 591:4321-34. 2013
    ..In conclusion, we have developed a new image processing pipeline and applied it to a CHD patient to construct the first active heart-torso model from clinical MRIs...
  14. ncbi request reprint Statistical analysis of morphological differences between brains
    Fijoy Vadakkumpadan
    Department of Computer Sciences, Purdue University, West Lafayette, Indiana, USA
    Int J Neurosci 116:407-18. 2006
    ..This analysis has revealed systematic morphological differences between the two ethnic groups...