Publications

Bishawi, M., Kaplan, M., Chidyagwai, S., Cappiello, J., Cherry, A., MacLeod, D., … Randles, A. (2022). Patient- and Ventilator-Specific Modeling to Drive the Use and Development of 3D Printed Devices for Rapid Ventilator Splitting During the COVID-19 Pandemic. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics (Vol. 13352 LNCS, pp. 137–149). https://doi.org/10.1007/978-3-031-08757-8_13

Tanade, C., Putney, S., & Randles, A. (2022). Developing a Scalable Cellular Automaton Model of 3D Tumor Growth. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics (Vol. 13350 LNCS, pp. 3–16). https://doi.org/10.1007/978-3-031-08751-6_1

Tanade, C., Chen, S. J., Leopold, J. A., & Randles, A. (2022). Analysis identifying minimal governing parameters for clinically accurate in silico fractional flow reserve. Frontiers in Medical Technology, 4, 1034801. https://doi.org/10.3389/fmedt.2022.1034801

Roychowdhury, S., Mahmud, S. T., Puleri, D. F., Lai, A., Rex, R., Li, B., … Randles, A. (2022). DEVELOPING A DIGITAL TWIN FOR SINGLE-CELL MECHANICAL PHENOTYPING MICROFLUIDIC DEVICES. In Microtas 2022 26th International Conference on Miniaturized Systems for Chemistry and Life Sciences (pp. 831–832).

Roychowdhury, S., Draeger, E. W., & Randles, A. (2022). Establishing Metrics to Quantify Underlying Structure in Vascular Red Blood Cell Distributions. In Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics (Vol. 13350 LNCS, pp. 89–102). https://doi.org/10.1007/978-3-031-08751-6_7

Vardhan, M., Shi, H., Urick, D., Patel, M., Leopold, J. A., & Randles, A. (2022). The role of extended reality for planning coronary artery bypass graft surgery. In Proceedings 2022 IEEE Visualization Conference Short Papers Vis 2022 (pp. 115–119). https://doi.org/10.1109/VIS54862.2022.00032

Vardhan, M., Gounley, J., Chen, S. J., Nair, P., Wei, W., Hegele, L., … Randles, A. (2022). Evaluation of intracoronary hemodynamics identifies perturbations in vorticity. Frontiers in Systems Biology, 2. https://doi.org/10.3389/fsysb.2022.930396

Bazarin, R. L. M., Philippi, P. C., Randles, A., & Hegele, L. A. (2021). Moments-based method for boundary conditions in the lattice Boltzmann framework: A comparative analysis for the lid driven cavity flow. Computers and Fluids, 230. https://doi.org/10.1016/j.compfluid.2021.105142

Liu, X., Vardhan, M., Wen, Q., Das, A., Randles, A., & Chi, E. C. (2021). An Interpretable Machine Learning Model to Classify Coronary Bifurcation Lesions. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021, 4432–4435. https://doi.org/10.1109/embc46164.2021.9631082

Tanade, C., Feiger, B., Vardhan, M., Chen, S. J., Leopold, J. A., & Randles, A. (2021). Global Sensitivity Analysis For Clinically Validated 1D Models of Fractional Flow Reserve. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021, 4395–4398. https://doi.org/10.1109/embc46164.2021.9629890

Herschlag, G., Lee, S., Vetter, J. S., & Randles, A. (2021). Analysis of GPU Data Access Patterns on Complex Geometries for the D3Q19 Lattice Boltzmann Algorithm. IEEE Transactions on Parallel and Distributed Systems, 32(10), 2400–2414. https://doi.org/10.1109/TPDS.2021.3061895

Puleri, D. F., Balogh, P., & Randles, A. (2021). Computational models of cancer cell transport through the microcirculation. Biomechanics and Modeling in Mechanobiology, 20(4), 1209–1230. https://doi.org/10.1007/s10237-021-01452-6

Balogh, P., Gounley, J., Roychowdhury, S., & Randles, A. (2021). A data-driven approach to modeling cancer cell mechanics during microcirculatory transport. Scientific Reports, 11(1), 15232. https://doi.org/10.1038/s41598-021-94445-5

Randles, A., Wirsching, H.-G., Dean, J. A., Cheng, Y.-K., Emerson, S., Pattwell, S. S., … Michor, F. (2021). Computational modelling of perivascular-niche dynamics for the optimization of treatment schedules for glioblastoma. Nature Biomedical Engineering, 5(4), 346–359. https://doi.org/10.1038/s41551-021-00710-3

Vardhan, M., Gounley, J., Chen, S. J., Chi, E. C., Kahn, A. M., Leopold, J. A., & Randles, A. (2021). Non-invasive characterization of complex coronary lesions. Scientific Reports, 11(1), 8145. https://doi.org/10.1038/s41598-021-86360-6

Vardhan, M., & Randles, A. (2021). Application of physics-based flow models in cardiovascular medicine: Current practices and challenges. Biophysics Reviews, 2(1), 011302. https://doi.org/10.1063/5.0040315

Feiger, B., Adebiyi, A., & Randles, A. (2021). Multiscale modeling of blood flow to assess neurological complications in patients supported by venoarterial extracorporeal membrane oxygenation. Computers in Biology and Medicine, 129, 104155. https://doi.org/10.1016/j.compbiomed.2020.104155

Feiger, B., Lorenzana, E., Ranney, D., Bishawi, M., Doberne, J., Vekstein, A., … Randles, A. (2021). Predicting aneurysmal degeneration of type B aortic dissection with computational fluid dynamics. In Proceedings of the 12th ACM Conference on Bioinformatics Computational Biology and Health Informatics Bcb 2021. https://doi.org/10.1145/3459930.3469563

Bardhan, J., Leung, M. A., Martin, E., & Randles, A. (2021). DOE Computational Science Graduate Fellowship Research Showcase. Computing in Science and Engineering, 23(6), 5–8. https://doi.org/10.1109/MCSE.2021.3124033

Kaplan, M., Kneifel, C., Orlikowski, V., Dorff, J., Newton, M., Howard, A., … Randles, A. (2020). Cloud Computing for COVID-19: Lessons Learned From Massively Parallel Models of Ventilator Splitting. Computing in Science & Engineering, 22(6), 37–47. https://doi.org/10.1109/mcse.2020.3024062

Pepona, M., Balogh, P., Puleri, D. F., Hynes, W. F., Robertson, C., Dubbin, K., … Randles, A. (2020). Investigating the Interaction Between Circulating Tumor Cells and Local Hydrodynamics via Experiment and Simulations. Cellular and Molecular Bioengineering, 13(5), 527–540. https://doi.org/10.1007/s12195-020-00656-7

Jang, L. K., Alvarado, J. A., Pepona, M., Wasson, E. M., Nash, L. D., Ortega, J. M., … Hynes, W. F. (2020). Three-dimensional bioprinting of aneurysm-bearing tissue structure for endovascular deployment of embolization coils. Biofabrication, 13(1). https://doi.org/10.1088/1758-5090/abbb9b

Bishawi, M., Kaplan, M., Chidyagwai, S., Cappiello, J., Cherry, A., MacLeod, D., … Randles, A. (2020). Rapid Ventilator Splitting During COVID-19 Pandemic Using 3D Printed Devices and Numerical Modeling of 200 Million Patient Specific Air Flow Scenarios. Res Sq. https://doi.org/10.21203/rs.3.rs-48165/v1

Hynes, W. F., Pepona, M., Robertson, C., Alvarado, J., Dubbin, K., Triplett, M., … Moya, M. L. (2020). Examining metastatic behavior within 3D bioprinted vasculature for the validation of a 3D computational flow model. Science Advances, 6(35), eabb3308. https://doi.org/10.1126/sciadv.abb3308

Cherian, J., Dabagh, M., Srinivasan, V. M., Chen, S., Johnson, J., Wakhloo, A., … Kan, P. (2020). Balloon-Mounted Stents for Treatment of Refractory Flow Diverting Device Wall Malapposition. Operative Neurosurgery (Hagerstown, Md.), 19(1), 37–42. https://doi.org/10.1093/ons/opz297