Fijoy Vadakkumpadan

Summary

Affiliation: Johns Hopkins University
Country: USA

Publications

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  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 Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland Electronic address
    Heart Rhythm 10:1109-16. 2013

Detail Information

Publications11

  1. 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...
  2. 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
    ....
  3. 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...
  4. 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...
  5. 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...
  6. 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. ..
  7. 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...
  8. 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...
  9. 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
    ....
  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 Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland Electronic address
    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. 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...