Elizabeth M. Cherry

Publications

  1. Arantes Berg L, Martins Rocha B, Sachetto Oliveira R, Sebastian R, Rodriguez B, Alves Bonfim de Queiroz R, Cherry EM, Weber dos Santos R. Enhanced optimization-based method for the generation of patient-specific models of Purkinje networks. Scientific Reports 2023, in press.

  2. Nieto Ramos A, Fenton FH, Cherry EM. Bayesian inference for fitting cardiac models to experiments: Estimating parameter distributions using Hamiltonian Monte Carlo and Approximate Bayesian Computation. Medical & Biological Engineering & Computing 2023; 61: 75-95.

  3. He J, Pertsov AM, Cherry EM, Fenton FH, Roney C, Niederer S, Zhang Z, Mangharam R. Fiber organization has little effect on electrical activation patterns during focal arrhythmias in the left atrium. IEEE Transactions on Biomedical Engineering 2023; 70: 1611-1621.

  4. Munoz LM, Ampofo MO, Cherry EM. Controllability of voltage- and calcium-driven alternans in a cardiac ionic model. Computing in Cardiology 2022; 498: 10081785.

  5. Mendez MJ, Hoffman MJ, Cherry EM, Lemmon CA, Weinberg SH. A data-assimilation approach to predict population dynamics during epithelial-mesenchymal transition. Biophysical Journal 2022; 121: 3061-3080.

  6. Shahi S, Fenton FH, Cherry EM. A machine-learning approach for long-term prediction of experimental cardiac action potential time series using an autoencoder and echo state networks. Chaos 2022; 32: 063117.

  7. Shahi S, Fenton FH, Cherry EM. Prediction of chaotic time series using recurrent neural networks and reservoir computing techniques: A comparative study. Machine Learning with Applications 2022; 8: 100300.

  8. Borah M, Das D, Gayan A, Fenton F, Cherry E. Control and anticontrol of chaos in fractional-order models of Diabetes, HIV, Dengue, Migraine, Parkinson’s and Ebola virus diseases. Chaos, Solitons and Fractals 2021; 153: 111419.

  9. Shahi S, Marcotte CD, Herndon CJ, Fenton FH, Shiferaw Y, Cherry EM. Long-time prediction of arrhythmic cardiac action potentials using recurrent neural networks and reservoir computing. Frontiers in Physiology 2021; 12: 734178.

  10. Nieto Ramos A, Herndon CJ, Fenton FH, Cherry EM. Quantifying distributions of parameters for cardiac action potential models using the Hamiltonian Monte Carlo method. Computing in Cardiology 2021; 48: 9662836.

  11. Munoz LM, Ampofo MO, Cherry EM. Empirical Gramian based controllability of alternans in a cardiac map model. Computing in Cardiology 2021; 48: 9662867.

  12. Kaboudian A, Cherry EM, Fenton FH. Real-time interactive simulations of complex ionic cardiac cell models in 2D and 3D heart structures with GPUs on personal computers. Computing in Cardiology 2021; 48: 9662759.

  13. Berman JP, Kaboudian A, Uzelac I, Iravanian S, Iles T, Iaizzo PA, Lim H, Smolka S, Glimm J, Cherry EM, Fenton FH. Interactive 3D human heart simulations on segmented human MRI hearts. Computing in Cardiology 2021; 48: 9662948.

  14. Iravanian S, Uzelac I, Cairns DI, Cherry EM, Kaboudian A, Fenton FH. Unimapper: an online interactive analyzer/visualizer of optical mapping experimental data. Computing in Cardiology 2021; 48: 9662942.

  15. Ramirez Ortiz J, Kaboudian A, Uzelac I, Iravanian S, Cherry EM, Fenton FH. Interactive simulation of the ECG: Effects of cell types, distributions, shapes and duration. Computing in Cardiology 2021; 48: 9662928.

  16. Uzelac I, Iravanian S, Cherry EM, Fenton FH. Not all long-QTs are the same, Proarrhythmic quantification with action potential triangulation and alternans. Computing in Cardiology 2021; 48: 9662721.

  17. Uzelac I, Kaboudian A, Iravanian S, Siles-Paredes JG, Gumbart JC, Ashikaga H, Bhatia N, Gilmour RF Jr., Cherry EM, Fenton FH. Quantifying arrhythmic long-QT effects of hydroxychloroquine and azithromycin with whole heart optical mapping and simulations. Heart Rhythm O2 2021; 2: 394-404.

  18. Belletti R, Romero L, Martinez-Mateu L, Cherry EM, Fenton FH, Saiz J. Arrhythmogenic effects of genetic mutations affecting potassium channels in human atrial fibrillation: a simulation study. Frontiers in Physiology 2021; 12: 681943.

  19. Munoz LM, Ampofo MO, Cherry EM. Controllability of voltage- and calcium-driven cardiac alternans in a map model. Chaos 2021; 31: 023139.

  20. Marcotte CD, Fenton FH, Hoffman MJ, Cherry EM. Robust data assimilation with noise: Applications to cardiac dynamics. Chaos 2021; 31: 013118.

  21. Uzelac I, Iravanian S, Ashikaga H, Kumar N, Herndon C, Kaboudian A, Gumbart JC, Cherry EM, Fenton FH. Fatal arrhythmias: Another reason why doctors remain cautious about chloroquine/ hydroxychloroquine for treating COVID-19. Heart Rhythm 2020; 17: 1445-1451.

  22. Mendez MJ, Hoffman MJ, Cherry EM, Lemmon CA, Weinberg SH. Cell fate forecasting: a data assimilation approach to predict epithelial-mesenchymal transition. Biophysical Journal 2020; 118: 1749-1768.

  23. Niederer SA, Aboelkassem Y, Cantwell CD, Corrado C, Coveney S, Cherry EM, Delhaas T, Fenton FH, Panfilov AV, Pathmanathan P, Plank G, Riabiz M, Roney C, Weber dos Santos R, Wang L. Creation and application of virtual p cohorts of heart models. Philosophical Transactions of the Royal Society A 2020; 378: 20190558.

  24. Hoffman MJ, Cherry EM. Sensitivity of a data-assimilation system for reconstructing three-dimensional cardiac electrical dynamics. Philosophical Transactions of the Royal Society A 2020; 378: 20190388.

  25. Ganesan P, Cherry EM, Huang DT, Pertsov AM, Ghoraani B. Atrial fibrillation source area probability mapping using electrogram patterns of multipole catheters. BioMedical Engineering OnLine 2020; 19: 1-23.

  26. Bechara Rameh R, Cherry EM, Weber dos Santos R. Single-variable delay-differential equation approximations of the FitzHugh-Nagumo and Hodgkin-Huxley models. Communications in Nonlinear Science and Numerical Simulation 2020; 82: 105066.

  27. Gomes JM, Lobosco M, Weber dos Santos R, Cherry EM. Delay differential equation-based models of cardiac tissue: efficient implementation and effects on spiral-wave dynamics. Chaos 2019; 29: 123128.

  28. Loppini A, Gizzi A, Cherubini C, Cherry EM, Fenton FH, Filippi S. Spatiotemporal correlation uncovers fractional scaling in cardiac tissue. Physical Review E 2019; 100: 020201.

  29. Ganesan P, Cherry EM, Huang DT, Pertsov AM, Ghoraani B. Locating atrial fibrillation rotor and focal sources using iterative navigation of multipole diagnostic catheters. Cardiovascular Engineering and Technology 2019; 10: 354-366.

  30. Ganesan P, Salmin A, Cherry EM, Huang DT, Pertsov AM, Ghoraani B. Iterative navigation of multipole diagnostic catheters to locate repeating-pattern atrial fibrillation drivers. Journal of Cardiovascular Electrophysiology 2019; 30: 758-768.

  31. Kaboudian A, Cherry EM, Fenton FH. Real-time interactive simulations of large-scale systems on personal computers and cell phones: Toward patient-specific heart modeling. Science Advances 2019; 5: eaav6019.

  32. Kaboudian A, Cherry EM, Fenton FH. Large-scale interactive numerical experiments of chaos, solitons and fractals in real time via GPU in a web browser. Chaos, Solitons & Fractals 2019: 121, 6-29.

  33. Ganesan P, Zilouchian H, Cherry EM, Pertsov AM, Ghoraani B. Developing an iterative tracking algorithm to guide a catheter towards atrial fibrillation rotor sources in simulated fibrotic sources. Computing in Cardiology 2018; 45: 129.

  34. Ulysses J, Berg L, Cherry EM, Liu BR, Weber dos Santos R, de Barros BG, Rocha BM, de Queiroz RAB. An optimization-based algorithm for the construction of cardiac Purkinje network models. IEEE Transactions on Biomedical Engineering 2018; 65: 2760-2768.

  35. Uzelac I, Ji Y, Hornung D, Schröder-Schetelig J, Luther S, Gray R, Cherry EM, Fenton FH. Simultaneous quantification of spatially discordant alternans in voltage and intracellular calcium in Langendorff-perfused rabbit hearts and inconsistencies with models of cardiac action potentials and Ca transients. Frontiers in Physiology 2017; 8: 819.

  36. Cairns DI, Fenton FH, Cherry EM. Efficient parameterization of cardiac action potential models using a genetic algorithm. Chaos 2017; 27: 093922.

  37. Gomes JM, Weber dos Santos R, Cherry EM. Alternans promotion in cardiac electrophysiology models by delay differential equations. Chaos 2017; 27: 093915.

  38. LaVigne NS, Holt N, Hoffman MJ, Cherry EM. Effects of model error on cardiac electrical wave state reconstruction using data assimilation. Chaos 2017; 27: 093911.

  39. Cherry EM. Distinguishing mechanisms for alternans in cardiac cells using constant-diastolic-interval pacing. Chaos 2017; 27: 093902.

  40. Ji YC, Uzelac I, Otani N, Luther S, Gilmour RF, Cherry EM, Fenton FH. Synchronization as a mechanism for low-energy anti-fibrillation pacing. Heart Rhythm 2017; 14: 1254-1262.

  41. Gizzi A, Loppini A, Cherry EM, Cherubini C, Fenton FH, Filippi S. Multi-band decomposition analysis: Application to cardiac alternans as a function of temperature. Physiological Measurement 2017; 38: 833-847.

  42. Eastman J, Sass J, Gomes JM, Weber dos Santos R, Cherry EM. Using delay differential equations to induce alternans in a model of cardiac electrophysiology. Journal of Theoretical Biology 2016; 404: 262-272.

  43. Xue S, Lim H, Glimm J, Fenton FH, Cherry EM. Sharp boundary electrocardiac simulations. SIAM Journal on Scientific Computing 2016; 38, B100-B117.

  44. Hoffman MJ, LaVigne NS, Scorse ST, Fenton FH, Cherry EM. Reconstructing 3D reentrant cardiac electrical wave dynamics using data assimilation. Chaos 2016; 26: 013107.

  45. Bueno-Orovio A, Cherry EM, Evans SJ, Fenton FH. Basis for the induction of phase-2 reentry as a repolarization disorder in the Brugada syndrome. BioMed Research International 2015; 197586.

  46. Islam MA, Murthy A, Bartocci E, Cherry EM, Fenton FH, Glimm J, Smolka SA, Grosu R. Model-order reduction of ion channel dynamics using approximate bisimulation. Theoretical Computer Science, 2015; 599: 34-46.

  47. Elshrif MM, Shi P, Cherry EM. Representing variability and transmural differences in a model of human heart failure. IEEE Journal of Biomedical and Health Informatics 2015; 19: 1308-1320.

  48. Liu BR, Cherry EM. Image-based structural modeling of the cardiac Purkinje network. BioMed Research International 2015; 621034.

  49. Ganesan P, Cherry EM, Pertsov AM, Ghoraani B. Characterization of electrograms from multi-polar diagnostic catheters during atrial fibrillation. BioMed Research International 2015; 272954.

  50. Elshrif MM, Shi P, Cherry EM. Quantitative analysis of rate dependence of human heart failure action potential model on alternans onset and arrhythmias. Computing in Cardiology 2014; 41: 693-696.

  51. Elshrif MM, Cherry EM. A quantitative comparison of the behavior of human ventricular cardiac electrophysiology models in tissue. PLoS One 2014; 9: e84401.

  52. Bragard J, Elorza J, Cherry EM, Fenton FH. Validation of a computational model of cardiac defibrillation. Computing in Cardiology 2013; 40: 851-854.

  53. Bragard J, Simic A, Elorza J, Grigoriev RO, Cherry EM, Gilmour RF, Otani NF, Fenton FH. Shock-induced termination of reentrant cardiac arrhythmias: Comparing monophasic and biphasic shock protocols. Chaos 2013; 23: 043119.

  54. Gizzi A, Cherry EM, Gilmour RF, Luther S, Filippi S, Fenton FH. Effects of pacing site and stimulation history on alternans dynamics and the development of complex spatiotemporal patterns in cardiac tissue. Frontiers in Cardiac Electrophysiology 2013; 4: 71-1 – 71-20.

  55. Murthy A, Bartocci E, Fenton FH, Glimm J, Gray RA, Cherry EM, Smolka SA, Grosu R. Curvature analysis of cardiac excitation wavefronts. IEEE/ACM Transactions on Computational Biology and Bioinformatics 2011; 10: 323-336. (cover)

  56. Cherry EM, Fenton FH, Gilmour RF, Jr. Mechanisms of ventricular arrhythmias: A dynamical systems-based perspective. American Journal of Physiology Heart and Circulatory Physiology 2012; 302: H2451-H2463.

  57. Cherry EM, Fenton FH. Contribution of the Purkinje network to wave propagation in the canine ventricle: Insights from a combined electrophysiological-anatomical model. Nonlinear Dynamics 2012; 68: 365-379.

  58. Bartocci E, Singh R, von Stein FB, Amedome A, Caceres AJ, Castillo J, Closser E, Deards G, Goltsev A, Sta. Ines R, Isbilir C, Marc JK, Moore D, Pardi D, Sadhu S, Sanchez S, Sharma P, Singh A, Rogers J, Wolinetz A, Grosso-Applewhite T, Zhao K, Filipski AB, Gilmour Jr RF, Grosu R, Glimm J, Smolka SA, Cherry EM, Clarke EM, Griffeth N, Fenton FH. Teaching cardiac electrophysiology modeling to undergraduate students: Lab exercises and GPU programming for the study of arrhythmias and spiral wave dynamics. Advances in Physiology Education 2011; 35: 427-437.

  59. Niederer SA, Kerfoot E, Benson A, Bernabeu MO, Bernus O, Bradley C, Cherry EM, Clayton R, Fenton FH, Garny A, Heidenreich E, Land S, Maleckar M, Pathmanathan P, Plank G, Rodriguez JF, Roy I, Sachse FB, Seemann G, Skavhaug O, Smith NP. Verification of cardiac tissue electrophysiology simulations using an N-version benchmark. Philosophical Transactions of the Royal Society of London A 2011; 369: 4331-4351.

  60. Cherry EM, Fenton FH. Effects of boundaries and geometry on the spatial distribution of action potential duration in cardiac tissue. Journal of Theoretical Biology 2011; 285: 164-176.

  61. Luther S, Fenton FH, Kornreich BG, Squires A, Bittihn P, Hornung D, Zabel M, Flanders J, Gladuli A, Campoy L, Cherry EM, Luther GE, Hasenfuss G, Krinsky VI, Pumir A, Gilmour RF Jr., Bodenschatz E. Low-energy control of electrical turbulence in the heart. Nature 2011; 475: 235-239.

  62. Clayton RH, Bernus O, Cherry EM, Dierckx H, Fenton FH, Mirabella L, Panfilov AV, Sachse FB, Seemann G, Zhang H. Models of cardiac tissue electrophysiology: Progress, challenges and open questions. Progress in Biophysics and Molecular Biology 2011; 104: 22-48.

  63. Fink M, Niederer SA, Cherry EM, Fenton FH, Koivumäki JT, Seemann G, Thul R, Zhang H, Sachse FB, Beard D, Crampin EJ, Smith NP. Cardiac cell modelling: Observations from the heart of the cardiac physiome project. Progress in Biophysics and Molecular Biology 2011; 104: 2-21.

  64. Fenton FH, Luther S, Cherry EM, Otani NF, Krinsky V, Pumir A, Bodenschatz E, Gilmour RF Jr. Termination of atrial fibrillation using pulsed low-energy far-field stimulation. Circulation 2009; 120: 467-476.

  65. Cherry EM, Fenton FH. Visualization of spiral and scroll waves in simulated and experimental cardiac tissue. New Journal of Physics 2008; 10: 125016. (selected for New Journal of Physics Best of 2008)

  66. Fenton FH, Cherry EM, Kornreich BG. Termination of equine atrial fibrillation by quinidine: an optical mapping study. Journal of Veterinary Cardiology 2008; 10: 87-102. (cover)

  67. Cherry EM, Evans SJ. Properties of two human atrial cell models in tissue: Restitution, memory, propagation, and reentry. Journal of Theoretical Biology 2008; 254: 674-690.

  68. Fenton FH, Cherry EM. Models of cardiac cell. Scholarpedia 2008; 3: 1868.

  69. Otani NF, Mo A, Mannava S, Fenton FH, Cherry EM, Luther S, Gilmour RF, Jr. Characterization of multiple spiral wave dynamics as a stochastic predator-prey system. Physical Review E 2008; 78: 021913.

  70. Cherry EM, Hastings HM, Evans SJ. Dynamics of human atrial cell models: Restitution, memory, and intracellular calcium dynamics in single cells. Progress in Biophysics and Molecular Biology 2008; 98: 24-37.

  71. Fenton FH, Cherry EM, Glass L. Cardiac arrhythmia. Scholarpedia 2008; 3: 1665.

  72. Bueno-Orovio A, Cherry EM, Fenton FH. Minimal model for human ventricular action potentials in tissue. Journal of Theoretical Biology 2008; 253: 544-560.

  73. Cherry EM, Ehrlich JR, Nattel S, Fenton FH. Pulmonary vein reentry—Properties and size matter: Insights from a computational analysis. Heart Rhythm 2007; 4: 1553-1562. (cover)

  74. Cherry EM, Fenton FH. A tale of two dogs: Analyzing two models of canine ventricular electrophysiology. American Journal of Physiology Heart and Circulatory Physiology 2007; 292: H43-55.

  75. Fenton FH, Cherry EM, Karma A, Rappel WJ. Modeling wave propagation in realistic heart geometries using the phase-field method. Chaos 2005; 15: 013502.

  76. Cherry EM, Fenton FH. Suppression of alternans and conduction blocks despite steep APD restitution: Electrotonic, memory and conduction velocity restitution effects. American Journal of Physiology Heart and Circulatory Physiology 2004; 286: H2332-2341.

  77. Cherry EM, Greenside HS, Henriquez CS. Efficient simulation of three-dimensional anisotropic cardiac tissue using an adaptive mesh refinement method. Chaos 2003; 13: 853-865.

  78. Fenton FH, Cherry EM, Hastings HM, Evans SJ. Real-time computer simulations of excitable media: Java as a scientific language and as a wrapper for C and Fortran programs. BioSystems 2002; 64: 73-96.

  79. Fenton FH, Cherry EM, Hastings HM, Evans SJ. Multiple mechanisms of spiral wave breakup in a model of cardiac electrical activity. Chaos 2002; 12: 852-892.

  80. Cherry EM, Xie F, Feliciano Z, Garfinkel A. Computer modeling of atrial fibrillation. Cardiac Electrophysiology Review 2001; 5: 271-276.

  81. Cherry EM, Greenside HS, Henriquez CS. A space-time adaptive method for simulating complex cardiac dynamics. Physical Review Letters 2000; 84: 1343-1346.