Publications

Ames, J., Rizzi, S., Insley, J., Patel, S., Hernández, B., Draeger, E. W., & Randles, A. (2019). Low-Overhead in Situ Visualization Using Halo Replay. In 2019 IEEE 9th Symposium on Large Data Analysis and Visualization, LDAV 2019 (pp. 16–26). https://doi.org/10.1109/LDAV48142.2019.8944265

Herschlag, G., Gounley, J., Roychowdhury, S., Draeger, E. W., & Randles, A. (2019). Multi-physics simulations of particle tracking in arterial geometries with a scalable moving window algorithm. In Proceedings - IEEE International Conference on Cluster Computing, ICCC (Vol. 2019-September). https://doi.org/10.1109/CLUSTER.2019.8891041

Chen, K., Breitner, S., Wolf, K., Rai, M., Meisinger, C., Heier, M., … Schneider, A. (2019). Projection of Temperature-Related Myocardial Infarction in Augsburg, Germany: Moving on From the Paris Agreement on Climate Change. Deutsches Arzteblatt International, 116(31–32), 521–527. https://doi.org/10.3238/arztebl.2019.0521

Lee, S., Gounley, J., Randles, A., & Vetter, J. S. (2019). Performance portability study for massively parallel computational fluid dynamics application on scalable heterogeneous architectures. Journal of Parallel and Distributed Computing, 129, 1–13. https://doi.org/10.1016/j.jpdc.2019.02.005

Dabagh, M., Nair, P., Gounley, J., Frakes, D., Gonzalez, L. F., & Randles, A. (2019). Hemodynamic and morphological characteristics of a growing cerebral aneurysm. Neurosurg Focus, 47(1), E13. https://doi.org/10.3171/2019.4.FOCUS19195

Feiger, B., Vardhan, M., Gounley, J., Mortensen, M., Nair, P., Chaudhury, R., … Randles, A. (2019). Suitability of lattice Boltzmann inlet and outlet boundary conditions for simulating flow in image-derived vasculature. International Journal for Numerical Methods in Biomedical Engineering, 35(6), e3198. https://doi.org/10.1002/cnm.3198

Vardhan, M., Gounley, J., Chen, S. J., Kahn, A. M., Leopold, J. A., & Randles, A. (2019). The importance of side branches in modeling 3D hemodynamics from angiograms for patients with coronary artery disease. Scientific Reports, 9(1), 8854. https://doi.org/10.1038/s41598-019-45342-5

Grigoryan, B., Paulsen, S. J., Corbett, D. C., Sazer, D. W., Fortin, C. L., Zaita, A. J., … Miller, J. S. (2019). Multivascular networks and functional intravascular topologies within biocompatible hydrogels. Science (New York, N.Y.), 364(6439), 458–464. https://doi.org/10.1126/science.aav9750

Chen, K., Breitner, S., Wolf, K., Hampel, R., Meisinger, C., Heier, M., … KORA Study Group, . (2019). Temporal variations in the triggering of myocardial infarction by air temperature in Augsburg, Germany, 1987-2014. European Heart Journal, 40(20), 1600–1608. https://doi.org/10.1093/eurheartj/ehz116

Gounley, J., Vardhan, M., & Randles, A. (2019). A Framework for Comparing Vascular Hemodynamics at Different Points in Time. Computer Physics Communications, 235, 1–8. https://doi.org/10.1016/j.cpc.2018.05.014

Gounley, J., Draeger, E. W., & Randles, A. (2019). Immersed Boundary Method Halo Exchange in a Hemodynamics Application. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11536 LNCS, pp. 441–455). https://doi.org/10.1007/978-3-030-22734-0_32

Vardhan, M., Shi, H., Gounley, J., Chen, S. J., Kahn, A., Leopold, J., & Randles, A. (2019). Correction to: Investigating the Role of VR in a Simulation-Based Medical Planning System for Coronary Interventions (Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, LNCS 11768, 10.1007/978-3-030-32254-0_41) (Vol. 11768 LNCS, p. C1). https://doi.org/10.1007/978-3-030-32254-0_77

Gounley, J., Draeger, E. W., Oppelstrup, T., Krauss, W. D., Gunnels, J. A., Chaudhury, R., … Randles, A. (2019). Computing the ankle-brachial index with parallel computational fluid dynamics. Journal of Biomechanics, 82, 28–37. https://doi.org/10.1016/j.jbiomech.2018.10.007

Dabagh, M., & Randles, A. (2019). Role of deformable cancer cells on wall shear stress-associated-VEGF secretion by endothelium in microvasculature. PloS One, 14(2), e0211418. https://doi.org/10.1371/journal.pone.0211418

Hegele, L. A., Scagliarini, A., Sbragaglia, M., Mattila, K. K., Philippi, P. C., Puleri, D. F., … Randles, A. (2018). High-Reynolds-number turbulent cavity flow using the lattice Boltzmann method. Physical Review E, 98(4). https://doi.org/10.1103/PhysRevE.98.043302

Herschlag, G., Lee, S., Vetter, J. S., & Randles, A. (2018). GPU data access on complex geometries for D3Q19 lattice boltzmann method. In Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium, IPDPS 2018 (pp. 825–834). https://doi.org/10.1109/IPDPS.2018.00092

Vardhan, M., Das, A., Gouruev, J., & Randles, A. (2018). Computational fluid modeling to understand the role of anatomy in bifurcation lesion disease. In Proceedings - 25th IEEE International Conference on High Performance Computing Workshops, HiPCW 2018 (pp. 56–64). https://doi.org/10.1109/HiPCW.2018.8634225

Rafat, M., Stone, H. A., Auguste, D. T., Dabagh, M., Randles, A., Heller, M., & Rabinov, J. D. (2018). Impact of diversity of morphological characteristics and Reynolds number on local hemodynamics in basilar aneurysms. AIChE Journal, 64(7), 2792–2802. https://doi.org/10.1002/aic.16091

Randles, A., Frakes, D. H., & Leopold, J. A. (2017). Computational Fluid Dynamics and Additive Manufacturing to Diagnose and Treat Cardiovascular Disease. Trends in Biotechnology, 35(11), 1049–1061. https://doi.org/10.1016/j.tibtech.2017.08.008

Gounley, J., Vardhan, M., & Randles, A. (2017). A computational framework to assess the influence of changes in vascular geometry on blood flow. In PASC 2017 - Proceedings of the Platform for Advanced Scientific Computing Conference. https://doi.org/10.1145/3093172.3093227

Dabagh, M., Jalali, P., Butler, P. J., Randles, A., & Tarbell, J. M. (2017). Mechanotransmission in endothelial cells subjected to oscillatory and multi-directional shear flow. Journal of the Royal Society, Interface, 14(130), 20170185. https://doi.org/10.1098/rsif.2017.0185

Laurence, T. A., Ly, S., Fong, E., Shusteff, M., Randles, A., Gounley, J., & Draeger, E. (2017). Using stroboscopic flow imaging to validate large-scale computational fluid dynamics simulations. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 10076). https://doi.org/10.1117/12.2253319

Gounley, J., Draeger, E. W., & Randles, A. (2017). Numerical simulation of a compound capsule in a constricted microchannel. In Procedia computer science (Vol. 108, pp. 175–184). https://doi.org/10.1016/j.procs.2017.05.209

Paternoster, L., Standl, M., Waage, J., Baurecht, H., Hotze, M., Strachan, D. P., … Weidinger, S. (2015). Multi-ancestry genome-wide association study of 21,000 cases and 95,000 controls identifies new risk loci for atopic dermatitis. Nature Genetics, 47(12), 1449–1456. https://doi.org/10.1038/ng.3424

Randles, A., Draeger, E. W., Oppelstrup, T., Krauss, L., & Gunnels, J. (2015). Massively Parallel Models of the Human Circulatory System. In http://dl.acm.org/citation.cfm?id=2807676. Austin, TX: ACM. https://doi.org/10.1145/2807591.2807676