Publications

2021

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). 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

2020

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

Ames, J., Puleri, D. F., Balogh, P., Gounley, J., Draeger, E. W., & Randles, A. (2020). Multi-GPU Immersed Boundary Method Hemodynamics Simulations. Journal of Computational Science, 44, 101153. https://doi.org/10.1016/j.jocs.2020.101153

Puleri, D. F., Roychowdhury, S., Ames, J., & Randles, A. (2020). Computational Framework to Evaluate the Hydrodynamics of Cell Scaffold Geometries. In Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference (Vol. 2020, pp. 2299–2302). https://doi.org/10.1109/embc44109.2020.9176313

Roychowdhury, S., Gounley, J., & Randles, A. (2020). Evaluating the Influence of Hemorheological Parameters on Circulating Tumor Cell Trajectory and Simulation Time. In Proceedings of the Platform for Advanced Scientific Computing Conference, PASC 2020. https://doi.org/10.1145/3394277.3401848

Feiger, B., Gounley, J., Adler, D., Leopold, J. A., Draeger, E. W., Chaudhury, R., … Randles, A. (2020). Accelerating massively parallel hemodynamic models of coarctation of the aorta using neural networks. Scientific Reports, 10(1), 9508. https://doi.org/10.1038/s41598-020-66225-0

Shi, H., Ames, J., & Randles, A. (2020). Harvis: an interactive virtual reality tool for hemodynamic modification and simulation. Journal of Computational Science, 43. https://doi.org/10.1016/j.jocs.2020.101091

Feiger, B., Kochar, A., Gounley, J., Bonadonna, D., Daneshmand, M., & Randles, A. (2020). Determining the impacts of venoarterial extracorporeal membrane oxygenation on cerebral oxygenation using a one-dimensional blood flow simulator. Journal of Biomechanics, 104, 109707. https://doi.org/10.1016/j.jbiomech.2020.109707

Dabagh, M., Gounley, J., & Randles, A. (2020). Localization of Rolling and Firm-Adhesive Interactions Between Circulating Tumor Cells and the Microvasculature Wall. Cellular and Molecular Bioengineering, 13(2), 141–154. https://doi.org/10.1007/s12195-020-00610-7

2019

Vardhan, M., Gounley, J., Hegele, L., Draeger, E. W., & Randles, A. (2019). Moment representation in the lattice Boltzmann method on massively parallel hardware. In International Conference for High Performance Computing, Networking, Storage and Analysis, SC. https://doi.org/10.1145/3295500.3356204