By Associate Professor Susann Beier

Conference Papers

Gharleghi R; Samarasinghe G; Sowmya A; Beier S, 2020, 'Deep Learning for Time Averaged Wall Shear Stress Prediction in Left Main Coronary Bifurcations', in Proceedings - International Symposium on Biomedical Imaging, pp. 818 - 821, http://dx.doi.org/10.1109/ISBI45749.2020.9098715

Shen C; Canchi T; Gharleghi R; Beier S, 2020, 'Impact of Curvature, Bifurcation and Stenting on Secondary Flow in Idealised and Realistic Coronary Arteries', in 22nd Australasian Fluid Mechanics Conference, AFMC 2020, University of Queensland Library, presented at Proceedings of the 22nd Australasian Fluid Mechanics Conference AFMC2020, http://dx.doi.org/10.14264/9d492ee

Wang L; Tian F; Beier S, 2019, 'An immersed boundary method for hemodynamics involving complex geometries', in ACCM4, Hobart, Tasmania, Australia, presented at The 4th Australasian Conference on Computational Mechanics, Hobart, Tasmania, Australia, 28 November 2019 - 29 November 2019, http://dx.doi.org/10.26190/unsworks/27691

Gharleghi R; Wright H; Khullar S; Liu J; Ray T; Beier S, 2019, 'Advanced Multi-objective Design Analysis to Identify Ideal Stent Design', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Shenzhen, China, pp. 193 - 200, presented at MLMECH, Shenzhen, China, 13 October 2019, http://dx.doi.org/10.1007/978-3-030-33327-0_23

Masoud-Ansari S; Ormiston J; Webster M; Pontre B; Cowan B; Beier S, 2019, 'Towards validating stent induced micro flow patterns in left main coronary artery bifurcations', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 5749 - 5752, http://dx.doi.org/10.1109/EMBC.2019.8856419

Beier S; Ormiston J; Webster M; Cater J; Norris S; Medrano-Gracia P; Young A; Gilbert K; Cowan B, 2016, 'Overcoming spatio-temporal limitations using dynamically scaled in vitro PC-MRI - A flow field comparison to true-scale computer simulations of idealized, stented and patient-specific left main bifurcations', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 1220 - 1223, http://dx.doi.org/10.1109/EMBC.2016.7590925

Medrano-Gracia P; Ormiston J; Webster M; Beier S; Ellis C; Wang C; Young AA; Cowan BR, 2014, 'Construction of a coronary artery atlas from CT angiography', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 513 - 520, http://dx.doi.org/10.1007/978-3-319-10470-6_64

Beier S; Chen JJJ; Fortin H; Fafard M, 2011, 'FEM analysis of the anode connection in aluminium reduction cells', in TMS Light Metals, pp. 979 - 984

Preprints

Gharleghi R; Zhang M; Shen C; Webster M; Ellis C; Beier S, 2024, Assessing Left Main Bifurcation Anatomy and Haemodynamics: A Potential Surrogate for Disease Risk in Suspected Coronary Artery Disease Without Stenosis?, , http://dx.doi.org/10.48550/arxiv.2401.12504

Zhang M; Gharleghi R; Shen C; Beier S, 2023, Exploring the Interplay of Left Coronary Tree Anatomy and Haemodynamics: Implications for Plaque Formation, , http://dx.doi.org/10.48550/arxiv.2312.00257

Gharleghi R; Zhang M; Adikari D; McGrath-Cadell L; Graham RM; Wentzel J; Webster M; Ellis C; Ooi S-Y; Beier S, 2023, Sex-Specific Variances in Anatomy and Blood Flow of the Left Main Coronary Bifurcation: Implications for Coronary Artery Disease Risk, , http://dx.doi.org/10.48550/arxiv.2311.18489

Zhang S; Gharleghi R; Singh S; Sowmya A; Beier S, 2023, Assessing Encoder-Decoder Architectures for Robust Coronary Artery Segmentation, , http://arxiv.org/abs/2310.10002v1

Kapoor A; Jepson N; Bressloff NW; Loh PH; Ray T; Beier S, 2023, The Road to the Ideal Stent: A Review of Stent Design Optimisation Methods, Findings, and Opportunities, , http://dx.doi.org/10.48550/arxiv.2309.08092

Gharleghi R; Adikari D; Ellenberger K; Webster M; Ellis C; Sowmya A; Ooi S-Y; Beier S, 2022, Computed tomography coronary angiogram images, annotations and associated data of normal and diseased arteries, , http://dx.doi.org/10.48550/arxiv.2211.01859

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