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Publications

Journal Publications

  1. D. Ogiermann, A. Mohamed, L. E. Perotti, and D. Balzani, “A simple voltage‐modulated Markov chain model for the Piezo1 ion channel to investigate electromechanical pacing”, The Journal of Physiology, vol. 604, no. 13, pp. 5421–5439, July 2026.
  2. S. W. Sazzad, S. Dharmavaram, and L. E. Perotti, “Using topological defects to unfold thin structures: A graph-based approach with energy-driven distortion minimization”, International Journal of Solids and Structures, p. 113849, 2026.
  3. E. L. Bradshaw, L. E. Perotti, and A. Kassab, “Biomedical Engineering Students Report Positive Experiences Learning Anatomy from Human Cadavers”, Biomedical Engineering Education, vol. 5, no. 2, pp. 301–309, 2025.
  4. S. W. Sazzad, S. Dharmavaram, and L. E. Perotti, “A physics-based tessellation algorithm for particle assemblies on arbitrary surfaces”, Computer Physics Communications, vol. 300, p. 109166, 2024.
  5. D. Ogiermann, D. Balzani, and L. E. Perotti, “An explicit local space-time adaptive framework for monodomain models in cardiac electrophysiology”, Computer Methods in Applied Mechanics and Engineering, vol. 422, p. 116806, 2024.
  6. B. L. Sharma, L. E. Perotti, and S. Dharmavaram, “Computational modeling of coupled interactions of fluid membranes with embedded filaments”, Computer Methods in Applied Mechanics and Engineering, vol. 417, p. 116441, 2023.
  7. D. Ogiermann, D. Balzani, and L. E. Perotti, “An Explicit Local Space-Time Adaptive Framework for Monodomain Models”, Computer Methods in Applied Mechanics and Engineering, vol. 422, p. 116806, Mar. 2024.
  8. D. Ogiermann, L. E. Perotti, and D. Balzani, “A simple and efficient adaptive time stepping technique for low‐order operator splitting schemes applied to cardiac electrophysiology”, International Journal for Numerical Methods in Biomedical Engineering, vol. 39, no. 2, p. e3670, Feb. 2023.
  9. A. Von Zuben, L. E. Perotti, and F. A. C. Viana, “Anatomically-guided deep learning for left ventricle geometry generation with uncertainty quantification based on short-axis MR images”, Engineering Applications of Artificial Intelligence, vol. 121, p. 106012, 2023.
  10. F. Wei et al., “Changes in interstitial fluid flow, mass transport and the bone cell response in microgravity and normogravity”, Bone research, vol. 10, no. 1, p. 65, 2022.
  11. S. Dharmavaram, X. Wan, and L. E. Perotti, “A Lagrangian thin-shell finite element method for interacting particles on fluid membranes”, Membranes, vol. 12, no. 10, p. 960, 2022.
  12. T. Rahman, K. Moulin, and L. E. Perotti, “Cardiac diffusion tensor biomarkers of chronic infarction based on in vivo data”, Applied Sciences, vol. 12, no. 7, p. 3512, 2022.
  13. K. Moulin, P. Croisille, M. Viallon, I. A. Verzhbinsky, L. E. Perotti, and D. B. Ennis, “Myofiber strain in healthy humans using DENSE and cDTI”, Magnetic Resonance in Medicine, vol. 86, no. 1, pp. 277–292, July 2021.
  14. M. Loecher, L. E. Perotti, and D. B. Ennis, “Using synthetic data generation to train a cardiac motion tag tracking neural network”, Medical image analysis, vol. 74, p. 102223, 2021.
  15. L.E. Perotti*, I.A. Verzhbinsky*, K. Moulin, T.E. Cork, M. Loecher, D. Balzani, D.B. Ennis: “Estimating cardiomyofiber strain in vivo by solving a computational model“. Medical Image Analysis, 101932, 2020 – in press.
  16. K. Moulin, I.A. Verzhbinsky, N.G. Maforo, L.E. Perotti, D.B. Ennis: “Probing cardiomyocyte mobility with multi-phase cardiac diffusion tensor MRI“. PloS one, Vol. 15, Issue 11, pp. e0241996, 2020.
  17. S. Dharmavaram, L.E. Perotti: “A Lagrangian formulation for interacting particles on a deformable medium”. Computer Methods in Applied Mechanics and Engineering, Vol. 364, pp. 112949, 2020.
  18. X. Li*, L.E. Perotti*, J.A. Martinez, S.M. Duarte-Vogel, D.B. Ennis, H.H. Wu: “Real-time 3T MRI-guided cardiovascular catheterization in a porcine model using a glass-fiber epoxy-based guidewire”. PLoS One, Vol. 15, Issue 2, pp. e0229711, 2020.
  19. I.A. Verzhbinsky*, L.E. Perotti*, K. Moulin, T.E. Cork, M. Loecher, D.B. Ennis: “Estimating Aggregate Cardiomyocyte Strain Using In Vivo Diffusion and Displacement Encoded MR” in IEEE Transactions on Medical Imaging. doi: 10.1109/TMI.2019.2933813
  20. L.E. Perotti, K. Zhang, R.F. Bruinsma, J. Rudnick: “Kirigami and the Caspar-Klug construction for viral shells with negative Gauss curvature“. Physical Review E, Vol. 99, Issue 2, pp. 022413, 2019.
  21. L.E. Perotti, A.V. Ponnaluri, S. Krishnamoorthi, D. Balzani, D.B. Ennis, W.S. Klug: “Method for the unique identification of hyperelastic material properties using full field measures. Application to the passive myocardium material response”. International Journal for Numerical Methods in Biomedical Engineering, Vol. 33, pp. e2866, 2017.
  22. A.V. Ponnaluri, L.E. Perotti, D.B. Ennis, W.S. Klug: “A Viscoactive Constitutive Modeling Framework with Variational Updates for the Myocardium”. Computer Methods in Applied Mechanics and Engineering, Vol. 314, pp. 85-101, 2017.Ground state instabilities of protein shells are eliminated by buckling
  23. A.R. Singh, L.E. Perotti, R.F. Bruinsma, J. Rudnick, W.S. Klug: “Ground state instabilities of protein shells are eliminated by buckling”. Soft Matter, Vol. 13, Issue 44, pp. 8300-8308, 2017. 
  24. L.E. Perotti, S. Dharmavaram, W.S. Klug, J. Marian, J. Rudnick, R. Bruinsma: “Useful Scars: Physics of the Capsids of Archaeal Viruses”. Physical Review E, Vol. 94, Issue 1, pp. 012404, 2016. 
  25. A.V. Ponnaluri*, L.E. Perotti*, M. Liu, Z. Qu, J.N. Weiss, D.B. Ennis, W.S. Klug, A. Garfinkel: “Electrophysiology of Heart Failure using a Rabbit Model: from the Failing Myocyte to Ventricular Fibrillation”. PLOS Computational Biology, Vol. 12, Issue 6, pp. e1004968, 2016.
  26. L.E. Perotti, J. Rudnick, R. Bruinsma, W.S. Klug: “Statistical Physics of Viral Capsids with Broken Symmetry”. Physical Review Letters, Vol. 115, Issue 5, pp. 058101, 2015.
  27. L.E. Perotti, S. Krishnamoorthi, N.P. Borgstrom, D.B. Ennis, W.S. Klug: “Regional segmentation of ventricular models to achieve repolarization dispersion in cardiac EP modeling”. International Journal for Numerical Methods in Biomedical Engineering, Vol. 31, Issue 8, pp. e02718, 2015.
  28. L.E. Perotti*, A. Aggarwal*, J. Rudnick, R. Bruinsma, W.S. Klug: “Elasticity Theory of the Maturation of Viral Capsids”. Journal of the Mechanics and Physics of Solids, Vol. 77, pp. 86-108, 2015.
  29. S. Krishnamoorthi, L.E. Perotti, N.P. Borgstrom, O.A. Ajijola, A. Frid, A.V. Ponnaluri, J.N. Weiss, Z. Qu, W.S. Klug, D.B. Ennis, A. Garfinkel: “Simulation Methods and Validation Criteria for Modeling Cardiac Ventricular Electrophysiology”. PLOS ONE, Vol. 9, Issue 12, pp. e114494, 2014.
  30. L.E. Perotti, A. Bompadre, M. Ortiz: “Automatically inf-sup compliant diamond mixed finite elements for Kirchhoff plates”. International Journal for Numerical Methods in Engineering, Vol. 96, Issue 7, pp. 405-424, Nov 2013.
  31. L.E. Perotti, R. Deiterding, K. Inaba, J. Shepherd, M. Ortiz: “Elastic response of water-filled fiber composite tubes under shock wave loading”. International Journal of Solids and Structures, Vol. 50, Issues 3-4, pp. 473-486, 2013.
  32. A. Bompadre, L.E. Perotti, C.J. Cyron, M. Ortiz: “Convergent meshfree approximation schemes of arbitrary order and smoothness”. Computer Methods in Applied Mechanics and Engineering, Vols. 221-222, pp. 83-103, 2012.
  33. V. Saouma, L. Perotti, T. Shimpo: “Stress analysis of concrete structures subjected to alkali-aggregate reactions”. American Concrete Institute, Structural Journal, Vol. 104, No. 5, pp. 532-541, Sept-Oct 2007.
  34. V. Saouma, L. Perotti: “Constitutive model for alkali-aggregate reactions”. American Concrete Institute, Materials Journal, Vol. 103, No. 3, pp. 194-202, May-June 2006.

         * = These authors contributed equally to this work

Book Chapters

  1. M.M. Gibbons, L.E. Perotti, W.S. Klug: “Computational Mechanics of Viral Capsids”. In Protein Cages: Methods and Protocols, B. P. Orner editor, Springer, pp. 139-188, 2015.

Peer-reviewed Conference Articles

  1. D. Ogiermann, D. Balzani, and L. E. Perotti, “Analyzing the Impact of Different Microstructure and Active Stress Models on Peak Systolic Kinematics”, in International Conference on Functional Imaging and Modeling of the Heart, 2025, pp. 305–318.
  2. T. E. Cork, A. J. Hannum, M. Loecher, L. E. Perotti, and D. B. Ennis, “Evaluating the Effect of Post-processing Steps When Analyzing Cardiac Diffusion Tensor Data”, in Functional Imaging and Modeling of the Heart, vol. 15673, R. Chabiniok, Q. Zou, T. Hussain, H. H. Nguyen, V. G. Zaha, and M. Gusseva, Eds Cham: Springer Nature Switzerland, 2025, pp. 137–149.
  3.  
  4. A. J. Hannum, T. E. Cork, L. E. Perotti, and D. B. Ennis, “Characterizing Global and Regional Cardiac Diffusion Tensor Imaging Metrics in Healthy Subjects”, in Functional Imaging and Modeling of the Heart, vol. 15673, R. Chabiniok, Q. Zou, T. Hussain, H. H. Nguyen, V. G. Zaha, and M. Gusseva, Eds Cham: Springer Nature Switzerland, 2025, pp. 186–196.
  5. A. D. Marques et al., “Evaluating Cardiac Strains from One and Two Short-Axis Slice Models Based on DENSE and Cine MRI”, in International Conference on Functional Imaging and Modeling of the Heart, 2025, pp. 126–136.
  6. M. N. Jahromi et al., “An nnU-net model to enhance segmentation of cardiac cine dense-MRI using phase information”, in 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI), 2024, pp. 670–673.
  7. D. Ogiermann, D. Balzani, and L. E. Perotti, “An Extended Generalized Hill Model for Cardiac Tissue: Comparison with Different Approaches Based …, in Functional Imaging and Modeling of the Heart, vol. 13958, O. Bernard, P. Clarysse, N. Duchateau, J. Ohayon, and M. Viallon, Eds Cham: Springer Nature Switzerland, 2023, pp. 555–564.
  8. A. V. Zuben, E. Whitt, F. A. C. Viana, and L. E. Perotti, “Long Axis Cardiac MRI Segmentation Using Anatomically-Guided UNets and Transfer Learning”, in Functional Imaging and Modeling of the Heart, vol. 13958, O. Bernard, P. Clarysse, N. Duchateau, J. Ohayon, and M. Viallon, Eds Cham: Springer Nature Switzerland, 2023, pp. 274–282.
  9. A. J. Wilson, Q. J. Han, L. E. Perotti, and D. B. Ennis, “Ventricular Helix Angle Trends and Long-Range Connectivity”, in Functional Imaging and Modeling of the Heart, vol. 13958, O. Bernard, P. Clarysse, N. Duchateau, J. Ohayon, and M. Viallon, Eds Cham: Springer Nature Switzerland, 2023, pp. 64–73.
  10. L. E. Perotti, “Collaborative Research: SCH: Quantifying Cardiac Performance by Measuring Myofiber Strain with Routine MRI”, NSF Award Number 2205043. Directorate for Computer and Information Science and Engineering, vol. 22, no. 2205043, p. 5043, 2022.
  11. D. Ogiermann, D. Balzani, and L. E. Perotti, “The Effect of Modeling Assumptions on the ECG in Monodomain and Bidomain Simulations”, in Functional Imaging and Modeling of the Heart, vol. 12738, D. B. Ennis, L. E. Perotti, and V. Y. Wang, Eds Cham: Springer International Publishing, 2021, pp. 503–514.
  12. T. Rahman, K. Moulin, D. B. Ennis, and L. E. Perotti, “Diffusion Biomarkers in Chronic Myocardial Infarction”, in Functional Imaging and Modeling of the Heart, vol. 12738, D. B. Ennis, L. E. Perotti, and V. Y. Wang, Eds Cham: Springer International Publishing, 2021, pp. 137–147.
  13. M. Loecher, A. J. Hannum, L. E. Perotti, and D. B. Ennis, “Arbitrary Point Tracking with Machine Learning to Measure Cardiac Strains in Tagged MRI”, in Functional Imaging and Modeling of the Heart, vol. 12738, D. B. Ennis, L. E. Perotti, and V. Y. Wang, Eds Cham: Springer International Publishing, 2021, pp. 213–222.
  14. A. Von Zuben, K. Heckman, F. A. C. Viana, and L. E. Perotti, “A Multi-step Machine Learning Approach for Short Axis MR Images Segmentation”, in Functional Imaging and Modeling of the Heart, vol. 12738, D. B. Ennis, L. E. Perotti, and V. Y. Wang, Eds Cham: Springer International Publishing, 2021, pp. 122–133.
  15. T.E. Cork, L.E. Perotti, I.A. Verzhbinsky, M. Loecher, D.B. Ennis: “High-Resolution Ex Vivo Microstructural MRI After Restoring Ventricular Geometry via 3D Printing”. International Conference on Functional Imaging and Modeling of the Heart, Bordeaux, France, June, 2019.
  16. A.V.S. Ponnaluri, I.A. Verzhbinsky, J.D. Eldredge, A. Garfinkel, D.B. Ennis, L.E. Perotti: “Model of Left Ventricular Contraction: Validation Criteria and Boundary Conditions”. International Conference on Functional Imaging and Modeling of the Heart, Bordeaux, France, June, 2019.
  17. I.A. Verzhbinsky, P. Magrath, E. Aliotta, D.B. Ennis, L.E. Perotti: “Time Resolved Displacement-Based Registration of In Vivo cDTI Cardiomyocyte Orientations”. IEEE International Symposium on Biomedical Imaging (ISBI), Washington, D.C., April 2018.
  18. L.E. Perotti, P. Magrath, I.A. Verzhbinsky, E. Aliotta, K. Moulin, D.B. Ennis: “Microstructurally Anchored Cardiac Kinematics by Combining In Vivo DENSE MRI and cDTI”. International Conference on Functional Imaging and Modelling of the Heart, Toronto, Canada, June 2017 – Best Paper Award.
  19. B. Li, L. Perotti, M. Adams, J. Mihaly, A.J. Rosakis, M. Stalzer, M. Ortiz: “Large scale Optimal Transportation Meshfree (OTM) simulations of hypervelocity impact”. Procedia Engineering, Vol. 58, pp. 320-327, 2013.
  20. A. Bompadre, L.E. Perotti, C.J. Cyron, M. Ortiz: “HOLMES: Convergent Meshfree Approximation Schemes of Arbitrary Order and Smoothness”. Proceedings of the Sixth International Workshop on Meshfree Methods for PDE, Bonn, Germany, 2011. Published in: Meshfree Methods for Partial Differential Equations VI, Lecture Notes in Computational Science and Engineering, Vol. 89, pp. 111-126, M. Griebel and M.A. Schweitzer editors, Springer-Verlag Berlin Heidelberg 2013.

University of Central Florida, Orlando, FL

Engineering 1, Room 361