University of Glasgow - Publications

Davies, V. , Reeve, R. , Harvey, W. T. and Husmeier, D. (2016) Selecting random effect components in a sparse hierarchical Bayesian model for identifying antigenic variability. In: Computational Intelligence Methods for Bioinformatics and Biostatistics: 12th International Meeting, CIBB 2015, Naples, Italy, September 10-12, 2015, Revised Selected Papers. Series: Lecture Notes in Computer Science (9874). Springer, pp. 14-27. ISBN 9783319443317 (doi: 10.1007/978-3-319-44332-4_2)

Van't Veer, M. et al. (2017) Comparison of different diastolic resting indexes to iFR: are they all equal? Journal of the American College of Cardiology, 70(25), pp. 3088-3096. (doi: 10.1016/j.jacc.2017.10.066) (PMID:29268922)

Li, K., Ogden, R. W. and Holzapfel, G. A. (2018) A discrete fibre dispersion method for excluding fibres under compression in the modeling of fibrous tissues. Journal of the Royal Society: Interface, 15(138), 20170766. (doi: 10.1098/rsif.2017.0766) (PMID:29386399)

Duanmu, Z., Yin, M., Fan, X., Yang, X. and Luo, X. (2018) A patient-specific lumped-parameter model of coronary circulation. Scientific Reports, 8, 874. (doi: 10.1038/s41598-018-19164-w) (PMID:29343785) (PMCID:PMC5772042)

Sirker, A., Kwok, C. S., Kotronias, R., Bagur, R., Bertrand, O., Butler, R., Berry, C. , Nolan, J., Oldroyd, K. and Mamas, M. (2016) Influence of access site choice for cardiac catheterization on risk of adverse neurological events: A systematic review and meta-analysis. American Heart Journal, 181, pp. 107-119. (doi: 10.1016/j.ahj.2016.06.027) (PMID:27823682)

Paun, L. M., Qureshi, M. U., Colebank, M., Haider, M. A., Olufsen, M. S., Hill, N. A. and Husmeier, D. (2017) Parameter Inference in the Pulmonary Circulation of Mice. In: 32nd International Workshop on Statistical Modelling, Groningen, Netherlands, 03-07 Jul 2017, pp. 190-195.

Souteyrand, G. et al. (2018) Diagnosis and management of spontaneously recanalized coronary thrombus guided by optical coherence tomography ― lessons from the French “Lotus Root” registry ―. Circulation Journal, 82(3), pp. 783-790. (doi: 10.1253/circj.cj-17-0810) (PMID:29199266)

Song, Y. et al. (2017) Single-cell genomics based on Raman sorting reveals novel carotenoid-containing bacteria in the Red Sea. Microbial Biotechnology, 10(1), pp. 125-137. (doi: 10.1111/1751-7915.12420) (PMID:27748032) (PMCID:PMC5270752)

Lyu, Y., Yang, T., Lu, Z., Guo, C., Ge, C., Wang, Z., Jia, D. and Yin, H. (2017) External modulation method for generating accurate linear optical FMCW. IEEE Photonics Technology Letters, 29(18), pp. 1560-1563. (doi: 10.1109/LPT.2017.2736561)

Martin, K. C., Yuan, X. , Stimac, G., Bannerman, K., Anderson, J., Roy, C., Glykofrydis, F., Yin, H. and Davies, J. A. (2017) Symmetry-breaking in branching epithelia: cells on micro-patterns under flow challenge the hypothesis of positive feedback by a secreted autocrine inhibitor of motility. Journal of Anatomy, 230(6), pp. 766-774. (doi: 10.1111/joa.12599) (PMID:28369863)

Tyrrell, B. J., Woodham, E. F., Spence, H. J., Strathdee, D., Insall, R. H. and Machesky, L. M. (2016) Loss of strumpellin in the melanocytic lineage impairs the WASH Complex but does not affect coat colour. Pigment Cell and Melanoma Research, 29(5), pp. 559-571. (doi: 10.1111/pcmr.12506) (PMID:27390154) (PMCID:PMC5082549)

Niu, M., Rogers, S. , Filippone, M. and Husmeier, D. (2016) Fast inference in nonlinear dynamical systems using gradient matching. Proceedings of Machine Learning Research, 48, pp. 1699-1707.

Susanto, O. et al. (2017) LPP3 mediates self-generation of chemotactic LPA gradients by melanoma cells. Journal of Cell Science, 130(20), pp. 3455-3466. (doi: 10.1242/jcs.207514) (PMID:28871044) (PMCID:PMC5665449)

Hortigon-Vinagre, M.P., Zamora, V., Burton, F.L., Green, J., Gintant, G.A. and Smith, G.L. (2016) The use of ratiometric fluorescence measurements of the voltage sensitive dye Di-4-ANEPPS to examine action potential characteristics and drug effects on human induced pluripotent stem cell-derived cardiomyocytes. Toxicological Sciences, 154(2), pp. 320-331. (doi: 10.1093/toxsci/kfw171) (PMID:27621282) (PMCID:PMC5139069)

Lazarus, A., Husmeier, D. and Papamarkou, T. (2018) Multiphase MCMC sampling for parameter inference in nonlinear ordinary differential equations. Proceedings of Machine Learning Research, 84, pp. 1252-1260.

Buckley, C. M., Gopaldass, N., Bosmani, C., Johnston, S. A., Soldati, T., Insall, R. and King, J. S. (2016) WASH drives early recycling from macropinosomes and phagosomes to maintain surface phagocytic receptors. Proceedings of the National Academy of Sciences of the United States of America, 113(40), E5906-E5915. (doi: 10.1073/pnas.1524532113) (PMID:27647881) (PMCID:PMC5056073)

Davidson, A. J., Amato, C., Thomason, P. A. and Insall, R. H. (2018) WASP family proteins and formins compete in pseudopod- and bleb-based migration. Journal of Cell Biology, 217(2), pp. 701-714. (doi: 10.1083/jcb.201705160) (PMID:29191847) (PMCID:PMC5800805)

Kovar, H. et al. (2016) The second European interdisciplinary Ewing sarcoma research summit – A joint effort to deconstructing the multiple layers of a complex disease. Oncotarget, 7(8), pp. 8613-8624. (doi: 10.18632/oncotarget.6937) (PMID:26802024)

Layland, J. et al. (2017) Diagnostic accuracy of 3.0-T magnetic resonance T1 and T2 mapping and T2-weighted dark-blood imaging for the infarct-related coronary artery in Non-ST-segment elevation myocardial infarction. Journal of the American Heart Association, 6(4), e004759. (doi: 10.1161/JAHA.116.004759) (PMID:28364045) (PMCID:PMC5532996)

Mangion, K., Gao, H. , Husmeier, D. , Luo, X. and Berry, C. (2018) Advances in computational modelling for personalised medicine after myocardial infarction. Heart, 104(7), pp. 550-557. (doi: 10.1136/heartjnl-2017-311449) (PMID:29127185)

Berry, C. , Carrick, D., Haig, C. and Oldroyd, K. G. (2016) “Waves of Edema” seem implausible. Journal of the American College of Cardiology, 67(15), pp. 1868-1869. (doi: 10.1016/j.jacc.2015.11.073) (PMID:27081030)

Susanto, O., Muinonen-Martin, A. J., Nobis, M. and Insall, R. H. (2016) Visualizing cancer cell chemotaxis and invasion in 2D and 3D. In: Jin, Tian and Hereld, Dale (eds.) Chemotaxis. Series: Methods in molecular biology, 1407 (1407). Springer, pp. 217-228. ISBN 9781493934782 (doi: 10.1007/978-1-4939-3480-5_17)

Ford, T. J. , Corcoran, D. and Berry, C. (2017) Coronary artery disease: physiology and prognosis. European Heart Journal, 38(25), pp. 1990-1992. (doi: 10.1093/eurheartj/ehx226) (PMID:28549103) (PMCID:PMC5837611)

Weinberger, F. et al. (2016) Cardiac repair in guinea pigs with human engineered heart tissue from induced pluripotent stem cells. Science Translational Medicine, 8(363), 363ra148-363ra148. (doi: 10.1126/scitranslmed.aaf8781) (PMID:27807283)

Carberry, J. et al. (2018) Persistent iron within the infarct core after ST-segment elevation myocardial infarction: implications for left ventricular remodeling and health outcomes. JACC: Cardiovascular Imaging, 11(9), pp. 1248-1256. (doi: 10.1016/j.jcmg.2017.08.027) (PMID:29153575) (PMCID:PMC6130225)

Wandy, J. , Niu, M., Giurghita, D., Daly, R. , Rogers, S. and Husmeier, D. (2018) ShinyKGode: an interactive application for ODE parameter inference using gradient matching. Bioinformatics, 34(13), pp. 2314-2315. (doi: 10.1093/bioinformatics/bty089) (PMID:29490021) (PMCID:PMC6022662)

Rutherford, E. et al. (2017) Myocardial changes in incident haemodialysis patients over 6-months: an observational cardiac magnetic resonance imaging study. Scientific Reports, 7, 13976. (doi: 10.1038/s41598-017-14481-y) (PMID:29070834) (PMCID:PMC5656609)

Aderhold, A., Husmeier, D. and Grzegorczyk, M. (2017) Approximate Bayesian inference in semi-mechanistic models. Statistics and Computing, 27(4), pp. 1003-1040. (doi: 10.1007/s11222-016-9668-8)

Li, K., Ogden, R. W. and Holzapfel, G. A. (2016) Computational method for excluding fibers under compression in modeling soft fibrous solids. European Journal of Mechanics - A/Solids, 57, pp. 178-193. (doi: 10.1016/j.euromechsol.2015.11.003)

Aparício, P., Thompson, M. S. and Watton, P. N. (2016) A novel chemo-mechano-biological model of arterial tissue growth and remodelling. Journal of Biomechanics, 49(12), pp. 2321-2330. (doi: 10.1016/j.jbiomech.2016.04.037) (PMID:27184922)

Mangion, K., Gao, H. , Mccomb, C., Carrick, D., Clerfond, G., Zhong, X., Luo, X. , Haig, C. and Berry, C. (2016) A novel method for estimating myocardial strain: assessment of deformation tracking against reference magnetic resonance methods in healthy volunteers. Scientific Reports, 6, 38774. (doi: 10.1038/srep38774) (PMID:27941903) (PMCID:PMC5150576)

Aderhold, A., Smith, V. A. and Husmeier, D. (2016) Biological network inference at multiple scales: from gene regulation to species interactions. In: Elloumi, Mourad, Iliopoulos, Costas S., Wang, Jason T.L. and Zomaya, Albert Y. (eds.) Pattern Recognition in Computational Molecular Biology. Series: Wiley series on bioinformatics: computational techniques and engineering. John Wiley & Sons: New Jersey, United States, pp. 525-554. ISBN 9781118893685

Ferguson, E. A. , Matthiopoulos, J. and Husmeier, D. (2017) Constructing Wildebeest Density Distributions by Spatio-temporal Smoothing of Ordinal Categorical Data Using GAMs. In: 32nd International Workshop on Statistical Modelling, Groningen, Netherlands, 03-07 Jul 2017, pp. 70-75.

Rauhalammi, S. M.O., Mangion, K., Barrientos, P. H., Carrick, D. J.A., Clerfond, G., McClure, J. , McComb, C., Radjenovic, A. and Berry, C. (2016) Native myocardial longitudinal (T1) relaxation time: Regional, age, and sex associations in the healthy adult heart. Journal of Magnetic Resonance Imaging, 44(3), pp. 541-548. (doi: 10.1002/jmri.25217) (PMID:26946323) (PMCID:PMC5025725)

Li, K., Ogden, R. W. and Holzapfel, G. A. (2018) An exponential constitutive model excluding fibers under compression: application to extension-inflation of a residually stressed carotid artery. Mathematics and Mechanics of Solids, 23(8), pp. 1206-1224. (doi: 10.1177/1081286517712077)

Williams, M. C. et al. (2017) Symptoms and quality of life in patients with suspected angina undergoing CT coronary angiography: a randomised controlled trial. Heart, 103(13), pp. 995-1001. (doi: 10.1136/heartjnl-2016-310129) (PMID:28246175) (PMCID:PMC5529983)

Johnson, N. P. et al. (2016) Continuum of vasodilator stress from rest to contrast medium to adenosine hyperemia for fractional flow reserve assessment. JACC: Cardiovascular Interventions, 9(8), pp. 757-767. (doi: 10.1016/j.jcin.2015.12.273) (PMID:27101902)

Stevens, K., Denby, L., Patel, R. K., Mark, P. B. , Kettlewell, S., Smith, G. L. , Clancy, M. J., Delles, C. and Jardine, A. G. (2017) Deleterious effects of phosphate on vascular and endothelial function via disruption to the nitric oxide pathway. Nephrology Dialysis Transplantation, 32(10), pp. 1617-1627. (doi: 10.1093/ndt/gfw252) (PMID:27448672) (PMCID:PMC5837731)

McIlvanna, D., Huang, W. E., Davison, P., Glidle, A., Cooper, J. and Yin, H. (2016) Continuous cell sorting in a flow based on single cell resonance Raman spectra. Lab on a Chip, 16(8), pp. 1420-1429. (doi: 10.1039/C6LC00251J) (PMID:26974400)

Stewart, K., Matthews, L. , Scott, E. M. , Husmeier, D. and Mccowan, C. (2017) Preliminary Investigation of the Influences on Antimicrobial Resistance. RSS 2017 Annual Conference, Glasgow, Scotland, 04-07 Sep 2017.

Napp, A. E. et al. (2016) Computed tomography versus invasive coronary angiography: design and methods of the pragmatic randomised multicentre DISCHARGE trial. European Radiology, 27(7), pp. 2957-2968. (doi: 10.1007/s00330-016-4620-z) (PMID:27864607)

Nishi, T. et al. (2017) Influence of contrast media dose and osmolality on the diagnostic performance of contrast fractional flow reserve. Circulation: Cardiovascular Interventions, 10(10), e004985. (doi: 10.1161/CIRCINTERVENTIONS.117.004985) (PMID:29042397)

Carrick, D. et al. (2016) Comparative prognostic utility of indexes of microvascular function alone or in combination in patients with an acute ST-segment elevation myocardial infarction. Circulation, 134(23), pp. 1833-1847. (doi: 10.1161/CIRCULATIONAHA.116.022603) (PMID:27803036) (PMCID:PMC5131697)

Tweedy, L., Knecht, D. A., Mackay, G. N. and Insall, R. H. (2016) Self-generated chemoattractant gradients: attractant depletion extends the range and robustness of chemotaxis. PLoS Biology, 14(3), e1002404. (doi: 10.1371/journal.pbio.1002404) (PMID:26981861) (PMCID:PMC4794234)

Kelly, A., Salerno, S., Connolly, A., Bishop, M., Charpentier, F., Stølen, T. and Smith, G. L. (2018) Normal interventricular differences in tissue architecture underlie right ventricular susceptibility to conduction abnormalities in a mouse model of Brugada syndrome. Cardiovascular Research, 114(5), pp. 724-736. (doi: 10.1093/cvr/cvx244) (PMID:29267949) (PMCID:PMC5915948)

Saxena, P. et al. (2017) Correlation between human ether-a-go-go-related gene channel inhibition and action potential prolongation. British Journal of Pharmacology, 174(18), pp. 3081-3093. (doi: 10.1111/bph.13942) (PMID:28681507) (PMCID:PMC5573420)

Giurghita, D. and Husmeier, D. (2016) Inference in Nonlinear Systems with Unscented Kalman Filters. In: 22nd International Conference on Computational Statistics (COMPSTAT 2016), Oviedo, Spain, 23-26 Aug 2016, pp. 383-393. ISBN 9789073592360

Noè, U., Chen, W. W., Filippone, M., Hill, N. and Husmeier, D. (2017) Inference in a Partial Differential Equations Model of Pulmonary Arterial and Venous Blood Circulation using Statistical Emulation. In: 13th International Conference on Computational Intelligence Methods for Bioinformatics and Biostatistics, Stirling, UK, 01-03 Sep 2016, pp. 184-198. ISBN 9783319678337 (doi: 10.1007/978-3-319-67834-4_15)

Li, W., Bird, N. C. and Luo, X. (2017) A pointwise method for identifying biomechanical heterogeneity of the human gallbladder. Frontiers in Physiology, 8, 176. (doi: 10.3389/fphys.2017.00176) (PMID:28408886) (PMCID:PMC5374253)

Ahamed, T., Dorfmann, L. and Ogden, R.W. (2016) Modeling of residually stressed material with application to AAA. Journal of the Mechanical Behavior of Biomedical Materials, 61, pp. 221-234. (doi: 10.1016/j.jmbbm.2016.01.012) (PMID:26874252)

Carberry, J. et al. (2016) Remote zone extracellular volume and left ventricular remodeling in survivors of st-elevation myocardial infarction. Hypertension, 68(2), pp. 385-391. (doi: 10.1161/HYPERTENSIONAHA.116.07222) (PMID:27354423) (PMCID:PMC4956675)

Macdonald, B., Niu, M., Rogers, S. , Filippone, M. and Husmeier, D. (2016) Approximate parameter inference in systems biology using gradient matching: a comparative evaluation. BioMedical Engineering OnLine, 15, 80. (doi: 10.1186/s12938-016-0186-x) (PMID:27454253) (PMCID:PMC4959362)

Periz, J. et al. (2017) Toxoplasma gondii F-actin forms an extensive filamentous network required for material exchange and parasite maturation. eLife, 6, e24119. (doi: 10.7554/eLife.24119) (PMID:28322189) (PMCID:PMC5375643)

Høydal, M. A. et al. (2016) Exercise training reverses myocardial dysfunction induced by CaMKIIδC overexpression by restoring Ca2+-homeostasis. Journal of Applied Physiology, 121(1), pp. 212-220. (doi: 10.1152/japplphysiol.00188.2016) (PMID:27231311)

Neisius, U. et al. (2016) Urine proteomics in the diagnosis of stable angina. BMC Cardiovascular Disorders, 16, 70. (doi: 10.1186/s12872-016-0246-y) (PMID:27095611) (PMCID:PMC483761)

Ferguson, E. A. , Matthiopoulos, J. , Insall, R. H. and Husmeier, D. (2016) Inference of the drivers of collective movement in two cell types: Dictyostelium and melanoma. Journal of the Royal Society: Interface, 13(123), 20160695. (doi: 10.1098/rsif.2016.0695) (PMID:27798280)

Lu, H.R., Hortigon-Vinagre, M.P. , Zamora, V., Kopljar, I., De Bondt, A., Gallacher, D.J. and Smith, G. (2017) Application of optical action potentials in human induced pluripotent stem cells-derived cardiomyocytes to predict drug-induced cardiac arrhythmias. Journal of Pharmacological and Toxicological Methods, 87, pp. 53-67. (doi: 10.1016/j.vascn.2017.05.001) (PMID:28501647)

Masre, S.F., Rath, N., Olson, M.F. and Greenhalgh, D.A. (2017) ROCK2/rasHa cooperation induce malignant conversion via p53 loss, elevated NF-κβ and tenascin C-associated rigidity but p21 inhibits ROCK2/NF-κβ-mediated progression. Oncogene, 36, pp. 2529-2542. (doi: 10.1038/onc.2016.402) (PMID:27991921)

Singh, A. et al. (2017) Comparison of exercise testing and CMR measured myocardial perfusion reserve for predicting outcome in asymptomatic aortic stenosis: the PRognostic Importance of MIcrovascular Dysfunction in Aortic Stenosis (PRIMID AS) study. European Heart Journal, 38(16), pp. 1222-1229. (doi: 10.1093/eurheartj/ehx001) (PMID:28204448)

Wang, L., Roper, S. M. , Hill, N. A. and Luo, X. (2017) Propagation of dissection in a residually-stressed artery model. Biomechanics and Modeling in Mechanobiology, 16(1), pp. 139-149. (doi: 10.1007/s10237-016-0806-1) (PMID:27395061)

Findlay, I., Morris, T., Zhang, R. , Mccowan, C. , Shield, S., Forbes, B., McConnachie, A. , Mangion, K. and Berry, C. (2018) Linking hospital patient records for suspected or established acute coronary syndrome in a complex secondary care system: a proof-of-concept e-registry in NHS Scotland. European Heart Journal: Quality of Care and Clinical Outcomes, 4(3), pp. 155-167. (doi: 10.1093/ehjqcco/qcy007) (PMID:29462281) (PMCID:PMC6030982)

Gebhard, C. et al. (2017) Beneficial effects of reconstituted high-density lipoprotein (rHDL) on circulating CD34+ cells in patients after an acute coronary syndrome. PLoS ONE, 12(1), e0168448. (doi: 10.1371/journal.pone.0168448) (PMID:28060837) (PMCID:PMC5218493)

Lee, M. M.Y. et al. (2016) Non-invasive versus invasive management in patients with prior coronary artery bypass surgery with a non-ST segment elevation acute coronary syndrome: study design of the pilot randomised controlled trial and registry (CABG-ACS). Open Heart, 3(1), e000371. (doi: 10.1136/openhrt-2015-000371) (PMID:27110377) (PMCID:PMC4838768)

Stewart, P. S. , Waters, S. L., El Sayed, T., Vella, D. and Goriely, A. (2016) Wrinkling, creasing, and folding in fiber-reinforced soft tissues. Extreme Mechanics Letters, 8, pp. 22-29. (doi: 10.1016/j.eml.2015.10.005)

Cachat, E., Liu, W., Martin, K. C., Yuan, X. , Yin, H. , Hohenstein, P. and Davies, J. A. (2016) 2- and 3-dimensional synthetic large-scale de novo patterning by mammalian cells through phase separation. Scientific Reports, 6, 20664. (doi: 10.1038/srep20664) (PMID:26857385) (PMCID:PMC4746622)

Berry, C. , Carberry, J. and Mangion, K. (2018) How to mend a broken heart? JACC: Cardiovascular Imaging, 11(3), pp. 420-422. (doi: 10.1016/j.jcmg.2017.02.017) (PMID:28624397)

Graham-Brown, M. P.M. et al. (2017) Native T1 mapping: inter-study, inter-observer and inter-center reproducibility in hemodialysis patients. Journal of Cardiovascular Magnetic Resonance, 19, 21. (doi: 10.1186/s12968-017-0337-7) (PMID:28238284) (PMCID:PMC5327541)

Davies, V. , Reeve, R. , Harvey, W. T., Maree, F. F. and Husmeier, D. (2017) A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution. Computational Statistics, 32(3), pp. 803-843. (doi: 10.1007/s00180-017-0730-6)

Blinova, K. et al. (2017) Comprehensive translational assessment of human-induced pluripotent stem cell derived cardiomyocytes for evaluating drug-induced arrhythmias. Toxicological Sciences, 155(1), pp. 234-247. (doi: 10.1093/toxsci/kfw200) (PMID:27701120)

Ahmed, N. et al. (2016) Safety of guidewire-based measurement of fractional flow reserve and the index of microvascular resistance using intravenous adenosine in patients with acute or recent myocardial infarction. International Journal of Cardiology, 202, pp. 305-310. (doi: 10.1016/j.ijcard.2015.09.014) (PMID:26418191) (PMCID:PMC4669307)

Husmeier, D. , Ferguson, E. , Matthiopoulos, J. and Insall, R. (2017) Statistical Inference of the Drivers of Collective Cell Movement. RSS 2017 Annual Conference, Glasgow, Scotland, 04-07 Sep 2017.

Tweedy, L., Susanto, O. and Insall, R. H. (2016) Self-generated chemotactic gradients—cells steering themselves. Current Opinion in Cell Biology, 42, pp. 46-51. (doi: 10.1016/j.ceb.2016.04.003) (PMID:27105308)

Paun, L., Haider, M., Hill, N. , Olufsen, M., Qureshi, M., Papamarkou, T. and Husmeier, D. (2017) Parameter Inference in the Pulmonary Blood Circulation. RSS 2017 Annual Conference, Glasgow, Scotland, 04-07 Sep 2017.

Song, Y., Yin, H. and Huang, W. E. (2016) Raman activated cell sorting. Current Opinion in Chemical Biology, 33, pp. 1-8. (doi: 10.1016/j.cbpa.2016.04.002) (PMID:27100046)

Chen, W.W., Gao, H. , Luo, X.Y. and Hill, N.A. (2016) Study of cardiovascular function using a coupled left ventricle and systemic circulation model. Journal of Biomechanics, 49(12), pp. 2445-2454. (doi: 10.1016/j.jbiomech.2016.03.009) (PMID:27040388) (PMCID:PMC5038162)

Niu, M., Rogers, S. , Filippone, M. and Husmeier, D. (2017) Parameter Inference in Differential Equation Models Using Time Warped Gradient Matching. RSS 2017 Annual Conference, Glasgow, Scotland, 04-07 Sep 2017.

Adamson, P. D. et al. (2018) High-sensitivity cardiac troponin I and the diagnosis of coronary artery disease in patients with suspected angina pectoris. Circulation: Cardiovascular Quality and Outcomes, 11(2), e004227. (doi: 10.1161/CIRCOUTCOMES.117.004227) (PMID:29444926)

Giurghita, D. and Husmeier, D. (2017) Statistical Modelling of Cell Movement. In: 32nd International Workshop on Statistical Modelling, Groningen, Netherlands, 03-07 Jul 2017, pp. 317-322.

Woodham, E. F. et al. (2017) Coordination by Cdc42 of actin, contractility, and adhesion for melanoblast movement in mouse skin. Current Biology, 27(5), pp. 624-637. (doi: 10.1016/j.cub.2017.01.033) (PMID:28238662) (PMCID:PMC5344686)

Griffith, B. E. and Luo, X. (2017) Hybrid finite difference/finite element immersed boundary method. International Journal for Numerical Methods in Biomedical Engineering, 33(12), e2888. (doi: 10.1002/cnm.2888) (PMID:28425587)

Kobayashi, Y. et al. (2017) Agreement of the resting distal to aortic coronary pressure with the instantaneous wave-free ratio. Journal of the American College of Cardiology, 70(17), pp. 2105-2113. (doi: 10.1016/j.jacc.2017.08.049) (PMID:29050557)

Ford, T. J. , Corcoran, D. and Berry, C. (2018) Stable coronary syndromes: pathophysiology, diagnostic advances and therapeutic need. Heart, 104(4), pp. 284-292. (doi: 10.1136/heartjnl-2017-311446) (PMID:29030424) (PMCID:PMC5861393)

Ferguson, E. A. , Matthiopoulos, J. , Insall, R. H. and Husmeier, D. (2017) Statistical inference of the mechanisms driving collective cell movement. Journal of the Royal Statistical Society: Series C (Applied Statistics), 66(4), pp. 869-890. (doi: 10.1111/rssc.12203)

Goodman, M. E., Luo, X. and Hill, N. (2016) A mathematical model on the feedback between wall shear stress and intimal hyperplasia. International Journal of Applied Mechanics, 8(7), 1640011. (doi: 10.1142/S1758825116400111)

Gao, H. , Aderhold, A., Mangion, K., Luo, X. , Husmeier, D. and Berry, C. (2017) Changes and classification in myocardial contractile function in the left ventricle following acute myocardial infarction. Journal of the Royal Society: Interface, 14(132), 20170203. (doi: 10.1098/rsif.2017.0203) (PMID:28747397) (PMCID:PMC5550971)

MacDonald, G., Mackenzie, J.A., Nolan, M. and Insall, R.H. (2016) A computational method for the coupled solution of reaction–diffusion equations on evolving domains and manifolds: application to a model of cell migration and chemotaxis. Journal of Computational Physics, 309, pp. 207-226. (doi: 10.1016/j.jcp.2015.12.038) (PMID:27330221) (PMCID:PMC4896117)

Boyden, P. A. and Smith, G. L. (2018) Ca2+ leak, what is it? Why should we care? Can it be managed? Heart Rhythm, 15(4), pp. 607-614. (doi: 10.1016/j.hrthm.2017.11.018) (PMID:29157722)

Li, K., Ogden, R. W. and Holzapfel, G. A. (2018) Modeling of fibrous biological tissues with a general invariant that excludes compressed fibers. Journal of the Mechanics and Physics of Solids, 110, pp. 38-53. (doi: 10.1016/j.jmps.2017.09.005)

Mangion, K. et al. (2016) Myocardial strain in healthy adults across a broad age range as revealed by cardiac magnetic resonance imaging at 1.5 and 3.0T: associations of myocardial strain with myocardial region, age, and sex. Journal of Magnetic Resonance Imaging, 44(5), pp. 1197-1205. (doi: 10.1002/jmri.25280) (PMID:27104306) (PMCID:PMC5082565)

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