Fijoy Vadakkumpadan

Summary

Affiliation: Johns Hopkins University
Country: USA

Publications

  1. ncbi 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. ncbi 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. ncbi 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. ncbi 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. ncbi 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. ncbi 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
  7. ncbi 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
  8. ncbi 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. ncbi 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

Collaborators

Detail Information

Publications9

  1. ncbi 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. ncbi 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. ncbi 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. ncbi 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. ncbi 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. ncbi 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...
  7. ncbi 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
    ....
  8. ncbi 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. ncbi 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...