Publications
2020
- An Equivocal Final Link - Quantitative Determination of the Thermodynamic Efficiency of ATP Hydrolysis - Sullies the Chain of Electric, Ionic, Mechanical and Metabolic Steps Underlying Cardiac Contraction. Barclay CJ, Loiselle DS.2020. FRONTIERS IN PHYSIOLOGY. vol. 11.
- Artificial Intelligence in Cardiac Imaging With Statistical Atlases of Cardiac Anatomy. Gilbert, Kathleen; Mauger, Charlène; Young, Alistair A.; Suinesiaputra, Avan.2020. Frontiers in Cardiovascular Medicine. vol. 7, pg.102.
- Calibration of a fully coupled electromechanical meshless computational model of the heart with experimental data. Lluch E, Camara O, Doste R, Bijnens B, De Craene M, Sermesant M, Wang VY, Nash MP, Morales HG.2020. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING. vol. 364, pg.112869.
- Efficient estimation of load-free left ventricular geometry and passive myocardial properties using principal component analysis. Wang ZJ, Wang VY, Babarenda Gamage TP, Rajagopal V, Cao JJ, Nielsen PMF, Bradley CP, Young AA, Nash MP.2020. International journal for numerical methods in biomedical engineering. vol. 36, iss. 3, pg.e3313.
- Insights From Computational Modeling Into the Contribution of Mechano-Calcium Feedback on the Cardiac End-Systolic Force-Length Relationship. Guidry ME, Nickerson DP, Crampin EJ, Nash MP, Loiselle DS, Tran K.2020. FRONTIERS IN PHYSIOLOGY . vol. 11.
- Myocardial Laminar Organization Is Retained in Angiotensin-Converting Enzyme Inhibitor Treated SHRs. Wilson AJ, Sands GB, Wang VY, Hasaballa AI, Pontre B, Young AA, Nash MP, LeGrice IJ.2020. Experimental Mechanics. vol. 61, pg. 31-40.
2019
- A thermodynamic framework for modelling membrane transporters. Pan M, Gawthrop PJ, Tran K, Cursons J, Crampin EJ.2019. Journal of theoretical biology. vol. 481, pg.10-23.
- Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study. Gilbert K, Bai W, Mauger C, Medrano-Gracia P, Suinesiaputra A, Lee AM, Sanghvi MM, Aung N, Piechnik SK, Neubauer S, Petersen SE, Rueckert D, Young AA.2019. Scientific reports. vol. 9, iss. 1, pg.1130.
- Machine learning in cardiovascular magnetic resonance: basic concepts and applications. Leiner T, Rueckert D, Suinesiaputra A, Baeßler B, Nezafat R, Išgum I, Young AA.2019. Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. vol. 21, iss. 1, pg.61.
- Microstructurally Motivated Constitutive Modeling of Heart Failure Mechanics. Hasaballa AI, Wang VY, Sands GB, Wilson AJ, Young AA, LeGrice IJ, Nash MP.2019. Biophysical journal. vol. 117, iss. 12, pg.2273-2286.
- Right ventricular shape and function: cardiovascular magnetic resonance reference morphology and biventricular risk factor morphometrics in UK Biobank. Mauger C, Gilbert K, Lee AM, Sanghvi MM, Aung N, Fung K, Carapella V, Piechnik SK, Neubauer S, Petersen SE, Suinesiaputra A, Young AA.2019. Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. vol. 21, iss. 1, pg.41.
2018
- Insights on the impact of mitochondrial organisation on bioenergetics in high-resolution computational models of cardiac cell architecture. Ghosh S, Tran K, Delbridge LMD, Hickey AJR, Hanssen E, Crampin EJ, Rajagopal V.2018. PLoS computational biology. vol. 14, iss. 12, pg.e1006640.
- 4D modelling for rapid assessment of biventricular function in congenital heart disease. Gilbert K, Pontre B, Occleshaw CJ, Cowan BR, Suinesiaputra A, Young AA.2018. International Journal of Cardiovascular Imaging. vol. 6, iss. 8.
- A stabilised mixed meshfree method for incompressible media: Application to linear elasticity and stokes flow. Goh CM, Nielsen PMF, Nash MP.2018. Computer Methods in Applied Mechanics and Engineering. vol. 329, pg.575-598.
- Atlas-Based Computational Analysis of Heart Shape and Function in Congenital Heart Disease. Gilbert K, Forsch N, Hegde S, Mauger C, Omens JH, Perry JC, Pontré B, Suinesiaputra A, Young AA, McCulloch AD.2018. Journal of cardiovascular translational research. vol. 11, iss. 2, pg.123-132.
- Comparison of effects of losartan and metoprolol on left ventricular and aortic function at rest and during exercise in chronic aortic regurgitation. Roberts PA, Lin ACW, Cowan BR, Young AA, Stewart R.2018. The international journal of cardiovascular imaging. vol. 34, iss. 4, pg.615 - 624.
- Computational Modelling of Cardiac Trabecula Mechanics. Schroeder, Alison; Babarenda Gamage, Thiranja P; Wang, Vicky; Loiselle, Denis S; Nielsen, Poul M F; Nickerson, David P; Cheuk, Ming; Taberner, Andrew J; Nash, Martyn P; Tran, Kenneth.2018. ANZIAM Journal. vol. 59.
- Estimation of transversely isotropic material properties from magnetic resonance elastography using the optimised virtual fields method. Miller R, Kolipaka A, Nash MP, Young AA.2018. International journal for numerical methods in biomedical engineering. vol. 34, iss. 6, pg.e2979.
- Fully-automated left ventricular mass and . volume MRI analysis in the UK Biobank population cohort: Evaluation of initial results. Suinesiaputra A, Sanghvi MM, Aung N, Paiva JM, Zemrak F, Fung K, Lukaschuk E, Lee AM, Carapella V, Kim YJ, Francis J, Piechnik SK, Neubauer S, Greiser A, Jolly M-P, Hayes C, Young AA, Petersen SE.2018. International Journal of Cardiovascular Imaging. vol. 34, iss. 2, pg.281 - 291
- Left Ventricular Diastolic Myocardial Stiffness and End-Diastolic Myofibre Stress in Human Heart Failure Using Personalised Biomechanical Analysis. Wang ZJ, Wang VY, Bradley CP, Nash MP, Young AA, Cao JJ.2018. Journal of cardiovascular translational research. vol. 11, iss. 4, pg.346-356.
- Relative identifiability of anisotropic properties from magnetic resonance elastography. Miller R, Kolipaka A, Nash MP, Young AA.2018. NMR in biomedicine. vol. 31, iss. 10, pg.e3848.
- Statistical shape modeling of the left ventricle: Myocardial infarct classification challenge. Suinesiaputra A, Ablin P, Albà X, Alessandrini M, Allen J, Bai W, Cimen S, Claes P, Cowan BR, D'hooge J, Duchateau N, Ehrhardt J, Frangi AF, Gooya A, Grau V, Lekadir K, Lu A, Mukhopadhyay A, Oksuz I, Parajali N, Pennec X, Pereanez M, Pinto C, Piras P, Rohe M-M, Rueckert D, Saring D, Sermesant M, Siddiqi K, Tabassian M, Teresi L, Tsaftaris SA, Wilms M, Young AA, Zhang X, Medrano-Gracia P.2018. IEEE Journal of Biomedical and Health Informatics. vol. 22, iss. 2, pg.503 - 515.
2017
- An interactive tool for rapid biventricular analysis of congenital heart disease. Gilbert K, Lam H-I, Pontré B, Cowan B, Occleshaw C, Liu J, Young A 2017. Clinical Physiology and Functional Imaging. . vol. 37, iss. 4, pg.413-420.
- An open benchmark challenge for motion correction of myocardial perfusion MRI. Pontre B, Cowan BR, DiBella E, Kulaseharan S, Likhite D, Noorman N, Tautz L, Tustison N, Wollny G, Young AA, Suinesiaputra A.2017. IEEE Journal of Biomedical and Health Informatics. vol. 21, iss. 5, pg.1315 - 1326.
- Increased cardiac work provides a link between systemic hypertension and heart failure. Wilson AJ, Wang VY, Sands GB, Young AA, Nash MP, LeGrice IJ.2017. Physiological Reports. vol. 5, iss. 1, pg.e13104.
- Modelling cardiac tissue growth and remodelling. Wang VY, Hussan JR, Yousefi H, Bradley CP, Hunter PJ, Nash MP.2017. Journal of Elasticity. vol. 129, iss. 1-2, pg.283-305.
2016
- Atlas-based ventricular shape analysis for understanding congenital heart disease. Farrar G, Suinesiaputra A, Gilbert K, Perry JC, Hegde S, Marsden A, Young AA, Omens JH, McCulloch AD.2016. Progress in Pediatric Cardiology. vol. 43, pg.61-69.
- Cardiac image modelling: Breadth and depth in heart disease. Suinesiaputra A, McCulloch AD, Nash MP, Pontre B, Young AA.2016. Medical Image Analysis . vol. 33, pg.38-43.
- Image-based investigation of human in vivo myofibre strain. Wang VY, Casta C, Zhu YM, Cowan BR, Croisille P, Young AA, Clarysse P, Nash MP.2016. IEEE Transactions on Medical Imaging. vol. 35, iss. 11, pg.2486-2496.
- Image-driven constitutive modeling of myocardial fibrosis. Wang VY, Niestrawska JA, Wilson AJ, Sands GB, Young AA, LeGrice IJ, Nash MP.2016. International Journal for Computational Methods in Engineering Science and Mechanics. vol. 17, iss. 3, pg.211-221.
- Multiphysics and multiscale modelling, data-model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics. Chabiniok R, Wang VY, Hadjicharalambous M, Asner L, Lee J, Sermesant M, Kuhl E, Young AA, Moireau P, Nash MP, Chapelle D, Nordsletten DA.2016. Interface Focus. vol. 6, iss. 2, pg.20150083.
- Using Animation to Improve Recovery from Acute Coronary Syndrome: A Randomized Trial. Jones ASK, Ellis CJ, Nash M, Stanfield B, Broadbent E.2016. Annals of Behavioral Medicine. vol. 50, iss. 1, pg.108-118.
2015
- A counterview of 'An investigation of the false discovery rate and the misinterpretation of p-values' by Colquhoun (2014). Loiselle D, Ramchandra R.2015. Royal Society Open Science . vol. 2, iss. 8.
- Extracellular Ca2+-induced force restoration in K+-depressed skeletal muscle of the mouse in volves an elevation of [K+]i: implications for fatigue. Cairns SP, Leader JP, Loiselle DS, Higgins A, Lin W, Renaud J-M.2015. Journal of applied physiology (Bethesda, Md. : 1985). vol. 118, iss. 6, pg.662 - 674.
- Challenges of cardiac image analysis in large-scale population-based studies. Medrano-Gracia P, Cowan BR, Suinesiaputra A, Young AA.2015. Current Cardiology Reports. vol. 17, iss. 9.
- Image-based predictive modeling of heart mechanics. Wang V, Nielsen P, Nash M.2015. Annual Review of Biomedical Engineering . vol. 17, iss. 1, pg.351-383.
- Information maximizing component analysis of left ventricular remodeling due to myocardial infarction. Zhang X, Ambale-Venkatesh B, Bluemke DA, Cowan BR, Finn JP, Kadish AH, Lee DC, Lima JA, Hundley WG, Suinesiaputra A, Young AA, Medrano-Gracia P.2015. Journal of Translational Medicine. vol. 13, iss. 343.
- Quantification of LV function and mass by cardiovascular magnetic resonance: Multi-center variability and consensus contours. Suinesiaputra A, Bluemke DA, Cowan BR, Friedrich MG, Kramer CM, Kwong R, Plein S, Schulz-Menger J, Westenberg JJ, Young AA, Nagel E.2015. Journal of Cardiovascular Magnetic Resonance. vol. 2018, pg.616 - 619.
- Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour. Land S, Gurev V, Arens S, Augustin CM, Baron L, Blake R, Bradley C, Castro S, Crozier A, Favino M, Fastl TE, Fritz T, Gao H, Gizzi A, Griffith BE, Hurtado DE, Krause R, Luo X, Nash MP, Pezzuto S, Plank G, Rossi S, Ruprecht D, Seemann G, Smith NP, Sundnes J, Rice JJ, Trayanova N, Wang D, Wang JZ, Niederer SA.2015. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. vol. 471, iss. 2184, pg.20150641.
- Real-time aortic pulse wave velocity measurement during exercise stress testing. Roberts P, Cowan B, Liu Y, Lin A, Nielsen P, Taberner A, Stewart R, Lam H, Young A.2015. Journal of Cardiovascular Magnetic Resonance. vol. 17, iss. 86.