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