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.

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.

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.

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.

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.

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.

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.

Gounley, J., Vardhan, M., & Randles, A. (2019). A Framework for Comparing Vascular Hemodynamics at Different Points in Time. Computer Physics Communications, 235, 1–8.

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).

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).

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.

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.


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).

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).

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).

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.


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.

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.

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.

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).

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).


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.

Randles, A., Draeger, E. W., Oppelstrup, T., Krauss, L., & Gunnels, J. (2015). Massively Parallel Models of the Human Circulatory System. In Austin, TX: ACM.

Randles, A., Draeger, E. W., & Bailey, P. E. (2015). Massively parallel simulations of hemodynamics in the primary large arteries of the human vasculature. Journal of Computational Science, 9, 70–75.

Whitley, H. D., Scullard, C. R., Benedict, L. X., Castor, J. I., Randles, A., Glosli, J. N., … Graziani, F. R. (2015). Lenard-Balescu calculations and classical molecular dynamics simulations of electrical and thermal conductivities of hydrogen plasmas. Contributions to Plasma Physics, 55(2–3), 192–202.