Latest Publications

 2022

Remodelling of potassium currents underlies arrhythmic action potential prolongation under beta-adrenergic stimulation in hypertrophic cardiomyopathy
Doste R, Coppini R, Bueno-Orovio A. J Mol Cell Cardiol. 2022 Nov; 172:120-131. doi: 10.1016/j.yjmcc.2022.08.361. Epub 2022 Sep 2.

Cross clinical-experimental-computational qualification of in silico drug trials on human cardiac purkinje cells for proarrhythmia risk prediction
Trovato C, Mohr M, Schmidt F, Passini E, Rodriguez B. Front Toxicol. 2022 Oct 5;4:992650. doi: 10.3389/ftox.2022.992650. eCollection 2022.

In-silico drug trials for precision medicine in atrial fibrillation: From ionic mechanisms to electrocardiogram-based predictions in structurally-healthy human atria
Dasí A, Roy A, Sachetto R, Camps J, Bueno-Orovio A, Rodriguez B. Front Physiol. 2022 Sep 15;13:966046. doi: 10.3389/fphys.2022.966046. eCollection 2022.

Understanding and Improving Risk Assessment After Myocardial Infarction Using Automated Left Ventricular Shape Analysis
Corral Acero J, Schuster A, Zacur E, Lange T, Stiermaier T, Backhaus SJ, Thiele H, Bueno-Orovio A, Lamata P, Eitel I, Grau V. JACC Cardiovasc Imaging. 2022 Sep;15(9):1563-1574. doi: 10.1016/j.jcmg.2021.11.027. Epub 2022 Jan 12.

Graph-based homogenisation for modelling cardiac fibrosis
Farquhar ME, Burrage K, Weber Dos Santos R, Bueno-Orovio A, Lawson BAJ. J Comput Phys. 2022 Jun 15; 459: none, doi: 10.1016/j.jcp.2022.111126.

Pharmacological Management of Hypertrophic Cardiomyopathy: From Bench to Bedside
Palandri C, Santini L, Argirò A, Margara F, Doste R, Bueno-Orovio A, Olivotto I, Coppini R. Drugs. 2022 Jun; 82(8):889-912. doi: 10.1007/s40265-022-01728-w. Epub 2022 Jun 13.

Multi-Domain Variational Autoencoders for Combined Modeling of MRI-Based Biventricular Anatomy and ECG-Based Cardiac Electrophysiology
Beetz M, Banerjee A, Grau V. Front Physiol. 2022 Jun 8; 13:886723. doi: 10.3389/fphys.2022.886723. eCollection 2022.

Paradoxical prolongation of QT interval during exercise in patients with hypertrophic cardiomyopathy: cellular mechanisms and implications for diastolic function
Coppini R, Beltrami M, Doste R, Bueno-Orovio A, Ferrantini C, Vitale G, Pioner JM, Santini L, Argirò A, Berteotti M, Mori F, Marchionni N, Stefàno P, Cerbai E, Poggesi C, Olivotto I. Eur Heart J Open. 2022 May 10;2(3): oeac034. doi: 10.1093/ehjopen/oeac034. eCollection 2022 May.

Basic Research Approaches to Evaluate Cardiac Arrhythmia in Heart Failure and Beyond
Cumberland MJ, Riebel LL, Roy A, O'Shea C, Holmes AP, Denning C, Kirchhof P, Rodriguez B, Gehmlich K. Front Physiol. 2022 Feb 7;13:806366. doi: 10.3389/fphys.2022.806366. eCollection 2022.

 2021

Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility
Musuamba FT, Skottheim Rusten I, Lesage R, Russo G, Bursi R, Emili L, Wangorsch G, Manolis E, Karlsson KE, Kulesza A, Courcelles E, Boissel JP, Rousseau CF, Voisin EM, Alessandrello R, Curado N, Dall'ara E, Rodriguez B, Pappalardo F, Geris L. CPT Pharmacometrics Syst Pharmacol, 2021. doi: 10.1002/psp4.12669.

Applying the CiPA Approach to Evaluate Cardiac Proarrhythmia Risk of some Antimalarials Used Off-label in the First Wave of COVID-19
Delaunois A et al. Clin Transl Sci (2021). doi: 10.1111/cts.13011

Comparison of the Simulated Response of Three in Silico Human Stem Cell-Derived Cardiomyocytes Models and in Vitro Data Under 15 Drug Actions
Paci M, Passini E, Klimas A, Severi S, Hyttinen J, Rodriguez B, Entcheva E. In Silico hiPSC Cardiomyocytes: Front Pharmacol (2021). doi: 10.3389/fphar.2021.604713

Inference of ventricular activation properties from non-invasive electrocardiography
Camps J, Lawson B, Drovandib C, Minchole A, Wanga Z J, Graud V, Burragea K, Rodriguez B. Medical Image Analysis, 2021, 1361-1376.

A Completely Automated Pipeline for 3D Reconstruction of Human Heart from 2D Cine MR Slices
Banerjee A, Camps J, Zacur E, Choudhury R P, Rodriguez B, Grau V. Philosophical Transactions of the Royal Society, 2021. doi: 10.1098/rsta.2020.0257

CalTrack: High-Throughput Automated Calcium Transient Analysis in Cardiomyocytes
Psaras Y, Margara F, Cicconet M, Sparrow A J, Repetti G G, Schmid M, Steeples V, Wilcox J A L, Bueno-Orovio A, Redwood C S, Watkins H C, Robinson P, Rodriguez B, Seidman J G, Seidman C E, Toepfer C N. Circulation Research 2021; 129:326-341.

Human biventricular electromechanical simulations on the progression of electrocardiographic and mechanical abnormalities in post-myocardial infarction
Wang ZJ, Santiago A, Zhou X, Wang L, Margara F, Levrero-Florencio F, Das A, Kelly, C, Dall'Armellina E, Vazquez M, Rodriguez B. EP Europace, Volume 23, (Supplement_1, March 2021, Pages i143–i152.

Toward a broader view of mechanisms of drug cardiotoxicity
Mamoshina P, Rodriguez B, Bueno-Orovio A. Cell Reports Medicine 2021;2(3):100216. DOI: 10.1016/j.xcrm.2021.100216

Blockade of sodium‑calcium exchanger via ORM-10962 attenuates cardiac alternans
,

In-silico human electro-mechanical ventricular modelling and simulation for drug-induced pro-arrhythmia and inotropic risk assessment
Margara F, Wang Z J, Levrero-Florencio F, Santiago A, Vaquez M, Bueno-Orovio A, Rodriguez B. Progress in Biophysics and Molecular Biology. 2021;159:58-74. DOI: 10.1016/j.pbiomolbio.2020.06.007.

Electrophysiological and anatomical factors determine arrhythmic risk in acute myocardial ischaemia and its modulation by sodium current availability
Martinez-Navarro M, Zhou X, Bueno-Orovio A, Rodriguez B. Interface Focus, 2021;11:20190124. DOI: 10.1098/rsfs.2019.0124

 2020

Cardiac Transmembrane Ion Channels and Action Potentials: Cellular Physiology and Arrhythmogenic Behavior
András Varró, Jakub Tomek, Norbert Nagy, Laszlo Virag, Elisa Passini, Blanca Rodriguez, Istvan Baczkó. Physiological Reviews. 2020. Doi.org/10.1152/physrev.00024.2019.

The virtual assay software for human in silico drug trials to augment drug cardiac testing
Passini E, Zhou X, Trovato C, Britton OJ, Bueno-Orovio A, Rodriguez B. Journal of Computational Science, 2020. DOI 10.1016/j.jocs.2020.101202.

All-Optical Electrophysiology Refines Populations of In Silico Human iPSC-CMs for Drug Evaluation
Paci M, Passini E, Klimas A, Severi S, Hyttinen J, Rodriguez B, Entcheva E. Biophysical Journal May 2019;118(10):2596-2611. Doi: 10.1016/j.bpj.2020.03.018. Epub 2020 Apr 4.

Dual Transcriptomic and Molecular Machine Learning Predicts all Major Clinical Forms of Drug Cardiotoxicity
Mamoshina P, Bueno-Orovio A, Rodriguez B. Frontiers in Pharmacology 2020; 11:639. doi: 10.3389/fphar.2020.00639

Human Purkinje in silico model enables mechanistic investigations into automaticity and pro-arrhythmic abnormalities
Trovato C, Passini E, Nagy N, Varró A, Abi-Gerges N, Severi S, Rodriguez B. Journal of Molecular and Cellular Cardiology 2020;142:24-38. DOI: 10.1016/j.yjmcc.2020.04.001.

The ‘Digital Twin’ to enable the vision of precision cardiology
Corral-Acero J, Margara F, Marciniak M, Rodero C, Loncaric F, Feng Y, Gilbert A, Fernandes J F, Bukhari H A, Wajdan A, Martinez M V, Santos M S, Shamohammdi M, Luo H, Westphal P, Leeson P, DiAchille P, Gurev V, Mayr M, Geris L, Pathmanathan P, Morrison T, Cornelussen R, Prinzen F, Delhaas T, Doltra A, Sitges M, Vigmond E J, Zacur E, Grau V, Rodriguez B, Remme E W, Niederer S, Mortier P, McLeod K, Potse M, Pueyo E, Bueno-Orovio A, and Lamata P. European Heart Journal 2020;41(48):4556-4564. DOI:10.1093/eurheartj/ehaa159.

Sensitivity analysis of a strongly-coupled human-based electromechanical cardiac model: Effect of mechanical parameters on physiologically relevant biomarkers
Levrero-Florencio F, Margara F, Zacur E, Bueno-Orovio A, Wang Z J, Santiago A, Aguado-Sierra J, Houzeaux G, Grau V, Kay D, Vázquez M, Ruiz-Baier R, Rodriguez B. Comput. Methods Appl. Mech. Engrg. 2020;361:112762. DOI: 10.1016/j.cma.2019.112762.

In SilicoTrials: Verification, Validation and Uncertainty Quantification of Predictive Models Used in the Regulatory Evaluation of Biomedical Products
Viceconti M, Pappalardo F, Rodriguez B, Horner M, Bischoff J, Tshinanu F M. Methods. 2020. DOI: 10.1016/j.ymeth.2020.01.011

Combining an in Silico Proarrhythmic Risk Assay With a tPKPD Model to Predict QTc Interval Prolongation in the Anesthetized Guinea Pig Assay.
Morissette P, Polak S, Chain A, Zhai J, Imredy J P, Wildey M J, Travis J, Fitzgerald K, Fanelli P, Passini E, Rodriguez B, Sannajust F, Regan C. Toxicol Appl Pharmacol 2020;390:114883. DOI: 10.1016/j.taap.2020.114883

Blinded In Silico Drug Trial Reveals the Minimum Set of Ion Channels for Torsades de Pointes Risk Assessment.
Zhou X, Qu Y, Passini E, Bueno-Orovio A, Liu Y, Vargas H, Rodriguez B. Frontiers in Pharmacology 2020;10:1643. Doi: 10.3389/fphar.2019.01643.

General Principles for the Validation of Proarrhythmia Risk Prediction Models: an Extension of the CiPA In Silico Strategy
Li Z, Mirams G R, Yoshinaga T, Ridder B J, Han X, Chen J E, Stockbridge N L, Wisialowski T A, Damiano B, Severi S, Morissette P, Kowey P R,  Holbrook M, Smith G, Rasmusson R L, Liu M, Song Z, Qu Z, Leishman D J, Steidl-Nichols J, Rodriguez B, Bueno-Orovio A, Zhou X, Passini E,  Edwards A G, Morotti S, Ni H, Grandi E, Clancy C E, Vandenberg J, Hill A, Nakamura M, Singer T, Polonchuk L, Greiter-Wilke A, Wang K, Nave S, Fullerton A, Sobie E A, Paci M, Tshinanu F M, Strauss D G. Clin Pharmacol Ther 2020;107(1);102-111. Doi:10.1002/cpt.1647.

2019

Development, calibration, and validation of a novel human ventricular myocyte model in health, disease and drug block.
Tomek J, Bueno-Orovio A, Passini E, Zhou X, Mincholé A, Britton O, Bartolucci C, Severi S, Shrier A, Virag L, Varro A, Rodriguez B. eLife 2019;8:e48890. doi:10.7554/eLife.48890.

High arrhythmic risk in antero-septal acute myocardial ischemia is explained by increased transmural reentry occurrence
Martinez-Navarro H, Mincholé A, Bueno-Orovio A, Rodriguez B. Sci Rep. 2019;9(1):16803. doi:10.1038/s41598-019-53221-2.

Electrophysiological and contractile effects of disopyramide in patients with obstructive hypertrophic cardiomyopathy: a translational study.
Coppini R, Ferrantini C, Pioner JM, Santini L, Wang ZJ, Palandri C, Scardigli M, Vitale G, Sacconi L, Stefàno P; Flink L, Riedy K, Pavone FS, Cerbai E, Poggesi C, Mugelli A, Bueno-Orovio A, Olivotto I, Sherrid MV. J Am Coll Cardiol Basic Transl Sci 2019;4(7):795-813. doi:10.1016/j.jacbts.2019.06.004

An Initial Company Experience Gained From Using Preclinical CiPA Testing Paradigm in a Drug Discovery Setting: Challenges Still Lying Ahead.
Delaunois A, Rjasanow A, Hebeisen S, Passini E, Rodriguez B, Smith G, Bryant M, Valentin J. J Pharmacol Toxicol Methods 2019;99:106595. DOI: 10.1016/j.vascn.2019.05.098

Improving the clinical understanding of hypertrophic cardiomyopathy by combining patient data, machine learning and computer simulations: A case study
Lyon A, Mincholé A, Bueno-Orovio A, Rodriguez B.  Morphologie. 2019 Sep 27. pii: S1286-0115(19)30052-9. doi: 10.1016/j.morpho.2019.09.001. 

Machine learning in the electrocardiogram
Mincholé A, Camps J, Lyon A, Rodríguez B. J Electrocardiol. 2019 Aug 8. pii: S0022-0736(19)30457-1.

Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data
Biasiolli L, Hann E, Lukaschuk E, Carapella V, Paiva JM, Aung N, Rayner JJ, Werys K, Fung K, Puchta H, Sanghvi MM, Moon NO, Thomson RJ, Thomas KE, Robson MD, Grau V, Petersen SE, Neubauer S, Piechnik SK. PLoS One. 2019 Feb 14;14(2):e0212272. 

MRI-based Computational Torso/Biventricular Multiscale Models to Investigate the Impact of Anatomical Variability on the ECG QRS Complex
Mincholé A, Zacur E, Ariga R, Grau V, Rodriguez B. Frontiers in Physiology, 2019 doi: 10.3389/fphys.2019.01103.

A modeling and machine learning approach to ECG feature engineering for the detection of ischemia using pseudo-ECG
Ledezma CA, Zhou X, Rodriguez B, Tan PJ, Diaz-Zuccarini V. PloS One 2019.

Drug-induced Shortening of the Electromechanical Window is an Effective Biomarker for in Silico Prediction of Clinical Risk of Arrhythmias
Passini E, Trovato C, Morissette P, Sannajust F, Bueno-Orovio A, Rodriguez B. British Journal of Pharmacology 2019 doi 10.1111/bph.14786. 

β-Adrenergic Receptor Stimulation and Alternans in the Border Zone of a Healed Infarct: An ex vivo Study and Computational Investigation of Arrhythmogenesis
Tomek J, Hao G, Tomková M, Carr C, Lewis A, Paterson DJ, Rodriguez B*, Herring N*, Bub G* (*shared senior authors). Frontiers in Physiology 2019 doi 10.3389/fphys.2019.00350.

Investigating the Complex Arrhythmic Phenotype caused by the Gain-of-function Mutation KCNQ1-G229D
Zhou X, Bueno-Orovio A, Schilling RJ, Kirkby C, Denning C, Rajamohan D, Burrage K, Tinker A, Rodriguez B*, Harmer SC*. (*shared senior author). Frontiers in Physiology 2019 doi 10.3389/fphys.2019.00259.

Artificial intelligence for the electrocardiogram
Ana Mincholé & Blanca Rodriguez. Nature Medicine, 25: pages 22–23, 2019. 

2018

ECG phenotypes in hypertrophic cardiomyopathy caused by distinct mechanisms: apico-basal repolarization gradients versus Purkinje-myocardial coupling abnormalities.
A. Lyon, A. Bueno-Orovio, E. Zacur, R. Ariga, V. Grau, S. Neubauer, H. Watkins, B. Rodriguez, A. Minchole. Europace 2018;20(Suppl 3):iii102-iii112. doi: 10.1093/europace/euy226.

Commentary: Atrial Rotor Dynamics Under Complex Fractional Order Diffusion.
A. Bueno-Orovio. Frontiers in Physiology 2018;9:1386. doi: 10.3389/fphys.2018.01386.

Modulation of Cardiac Alternans by Altered Sarcoplasmic Reticulum Calcium Release: A Simulation Study.
J. Tomek, M. Tomková, X. Zhou, G. Bub, B. Rodriguez. Frontiers in Physiology 2018;9:1306. doi: 10.3389/fphys.2018.01306.

Slow recovery of excitability increases ventricular fibrillation risk as identified by emulation.
B. A. Lawson, K. Burrage, P. Burrage, C. C. Drovandi, A. Bueno-Orovio. Frontiers in Physiology 2018;9:1114. doi: 10.3389/fphys.2018.01114.

Strategies of data layout and cache writing for input-output optimization in high performance scientific computing: Applications to the forward electrocardiographic problem.
L. Cardone-Noott, B. Rodriguez, A. Bueno-Orovio. PLoS ONE 2018;13(8):e0202410. doi: 10.1371/journal.pone.0202410.

3D reconstruction of coronary arteries from 2D angiographic projections using non-uniform rational basis splines (NURBS) for accurate modelling of coronary stenoses.
F. Galassi, M. Alkhalil, R. Lee, P. Martindale, R. K. Kharbanda, K. M. Channon, V. Grau, R. P. Choudhury. PLoS ONE 2018;13(1):e0190650. 10.1371/journal.pone.01906.

Surface Mesh Reconstruction from Cardiac MRI Contours.
B. Villard, V. Grau, E. Zacur. Journal of Imaging. 2018;4(1):16. doi: 10.3390/jimaging4010016.

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.
A. Suinesiaputra, P. Ablin, X. Alba, M. Alessandrini, J. Allen, W. Bai, S. Cimen, P. Claes, B. R. Cowan, J. D’hooge, N. Duchateau, J. Ehrhardt, A. F. Frangi, A. Gooya, V. Grau, K. Lekadir, A. Lu, A. Mukhopadhyay, I. Oksuz, N. Parajuli, X. Pennec, M. Pereanez, C. Pinto, P. Piras, M.M. Rohe, D. Rueckert, D. Saring, M. Sermesant, K. Siddiqi, M. Tabassian, L. Teresi, S. A. Tsaftaris, M. Wilms, A. A. Young, X. Zhang, P. Medrano-Gracia. IEEE Transactions on Medical Imaging 2018;22(2). doi: 10.1109/JBHI.2017.2652449.

From ionic to cellular variability in human atrial myocytes: an integrative computational and experimental study. 
A. Muszkiewicz, X. Liu, A. Bueno-Orovio, B. A. J. Lawson, K. Burrage, B. Casadei, B. Rodriguez. American Journal of Physiology-Heart and Circulatory Physiology 2018;314(5):895-916. doi: 10.1152/ajpheart.00477.2017.

Distinct ECG phenotypes identified in hypertrophic cardiomyopathy using machine learning associate with arrhythmic risk markers. 
A. Lyon, R. Ariga, A Minchole, M. Mahmod, E. Ormondroyd, P. Laguna, N. de Freitas, S. Neubauer, H. Watkins, Blanca Rodriguez. Frontiers in Physiology 2018;9:123. doi: 10.3389/fphys.2018.00213.

In silico evaluation of arrhythmia
X. Zhou, A. Bueno-Orovio, B. Rodriguez. Current Opinion in Physiology 2018;1:95–103. doi: 10.1016/j.cophys.2017.11.003.

Unlocking data sets by calibrating populations of models to data density: A study in atrial electrophysiology.
B.A.J. Lawson, C.C. Drovandi, N. Cusimano, P. Burrage, B. Rodriguez, K. Burrage. Science Advances 2018;4(1):e1701676. doi: 10.1126/sciadv.1701676.

Computational techniques for ECG analysis and interpretation in light of their contribution to medical advances.
A. Lyon, A. Minchole, J.P. Martinez, P. Laguna, B. Rodriguez. Journal of the Royal Society Interface 2018;15:20170821. Doi: 10.1098/rsif.2017.0821.

δ-Cells and β-Cells Are Electrically Coupled and Regulate α-Cell Activity via Somatostatin.
L. J. B. Briant, T. M. Reinbothe, I. Spiliotis, C. Miranda, B. Rodriguez, P. Rorsman.  J Physiol 2018, 596(2): 197-215. doi: 10.1113/JP274581

Beta-cell Hubs Maintain Ca2+ Oscillations in Human and Mouse Islet Simulations.
C. Lei, J. A. Kellard, M. Hara, J. D. Johnson, B. Rodriguez, L.J. B. Briant. Islets 2018; 10(4), 151-167. doi: 10.1080/19382014.2018.1493316

2017

From ionic to cellular variability in human atrial myocytes: an integrative computational and experimental study.
A. Muszkiewicz, X. Liu, A. Bueno-Orovio, B.A.J. Lawson, K. Burrage, B. Casadei, B. Rodriguez. American Journal of Physiology-Heart and Circulatory Physiology. Doi: 10.1152/ajpheart.00477.2017. 

Validation and Models in Computational Biomedical Sciences: Philosophy, Science, Engineering
A. Carusi, B. Rodriguez, K. Burrage. Prog Biophys Mol Biol, 129, 1-2. 2017. DOI: 10.1016/j.pbiomolbio.2017.08.005

Variational Inference over Non-differentiable Cardiac Simulators using Bayesian Optimization. 
A. McCarthy, B. Rodriguez, A. Minchole. Workshops on Deep Learning for Physical Sciences and Machine Learning 4 Health. NIPS. 2017.

δ-cells and β-cells are electrically coupled and regulate α-cell activity via somatostatin.
L. Briant, T.M Reinbothe, I. Spiliotis, C. Miranda, B. Rodriguez, P. Rorsman. The Journal of Physiology. 1469-7793. Doi: 10.1113/JP274581. 2017. 

MRI-based heart and torso personalization for computer modeling and simulation of cardiac electrophysiology. 
E. Zacur, A. Minchole, B. Villard, V. Carapella, R. Ariga, R. Rodriguez, V. Grau. Lecture Notes in Computer Science. 10549: 61–70. Doi: 10.1007/978-3-319-67552-7_8. 2017.

Quantitative Comparison of Effects of Dofetilide, Sotalol, Quinidine, and Verapamil between Human Ex vivoTrabeculae and In silico Ventricular Models Incorporating Inter-Individual Action Potential Variability. 
O.J. Britton, N. Abi-Gerges, G. Page, A. Ghetti, P. E. Miller, B. Rodriguez. Frontiers in Physiology. 8, 597. Doi: 10.3389/fphys.2017.00597. 2017. 

Evaluation of non-Gaussian diffusion in cardiac MRI.
D. McClymont, I. Teh, E. Carruth, J. Omens, A. McCulloch, H. J. Whittington, P. Kohl, V. Grau, J. E Schneider. Magnetic Resonance in Medicine. 78: 1174–1186. Doi:10.1002/mrm.26466. 2017.

Human in silico drug trials demonstrate higher accuracy than animal models in predicting clinical pro-arrhythmic cardiotoxicity.
E. Passini, O. J. Britton, H.R. Lu, J. Rohrbacher, A.N. Hermans, D.J. Gallacher, R.J.H Greig, A. Bueno-Orovio, B. Rodriguez. Frontiers in Physiology. 8:668. Doi:10.3389/fphys.2017.00668. 2017.

Modelling variability in cardiac electrophysiology: a moment-matching approach.
E. Tixier, D. Lombardi, B. Rodriguez, J.F. Gerbeau. Journal of the Royal Society Interface. 14, 133. Doi: 10.1098/rsif.2017.0238. 2017. 

Phenotypic variability in LQT3 human induced pluripotent stem cell-derived cardiomyocytes and their response to antiarrhythmic pharmacologic therapy: An in silico approach.
M. Paci, E. Passini, S. Severi, J. Hyttinen, B. Rodriguez. Heart Rhythm. Doi: 10.1016/j.hrthm.2017.07.026. 2017. 

β-adrenergic receptor stimulation inhibits proarrhythmic alternans in post-infarction border zone cardiomyocytes: a computational analysis. 
J. Tomek, B. Rodriguez, G. Bub, J. Heijman. American Journal of Physiology - Heart and Circulatory Physiology. 313(2): H338-H353. Doi: 10.1152/ajpheart.00094. 2017. 

Exact solutions to the fractional time-space Bloch-Torrey equation for magnetic resonance imaging.
A. Bueno-Orovio, K. Burrage. Communications in Nonlinear Science and Numerical Simulation. 52, 91-109. Doi: 10.1016/j.cnsns.2017.04.013. 2017. 

Atrial fibrillation dynamics and ionic block effects in six heterogeneous human 3D virtual atria with distinct repolarization dynamics. 
C. Sánchez, A. Bueno-Orovio, E. Pueyo, B. Rodriguez. Frontiers in Bioengineering and Biotechnology. 5:29. Doi: 10.3389/fbioe.2017.00029. 2017.

Transformation Diffusion Reconstruction of Three-Dimensional Histology Volumes From Two-Dimensional Image Stacks.
R. Casero, U. Siedlecka , E. S. Jones, L. Gruscheski, M. Gibb, J. E. Schneider, P. Kohl, V. Grau.
2017 Med Image Anal, 38, 184-204. Doi: 10.1016/j.media.2017.03.004

The electrogenic Na+/K+ pump is a key determinant of repolarization abnormality susceptibility in human ventricular cardiomyocytes: a population-based simulation study.
O.J. Britton, A. Bueno-Orovio, L. Virág, A. Varró, B. Rodriguez. Frontiers in Physiology. 8:278.Doi: 10.3389/fphys.2017.00278. 2017

Functional identification of islet cell types by electrophysiological fingerprinting. 
L.J.B. Briant, Q. Zhang, E. Vergari, J. A. Kellard, B. Rodriguez, F. M. Ashcroft, P. Rorsman. Journal of the Royal Society Interface. 14: 20160999. Doi: 10.1098/rsif.2016.0999. 2017.

Electrophysiological properties of computational human ventricular cell action potential models under acute ischemic conditions.
S. Dutta, A. Minchole, T. A. Quinn, B. Rodriguez. Progress in Biophysics and Molecular Biology. 129, 40-52. Doi:10.1016/j.pbiomolbio.2017.02.007. 2017. 

2016

Evaluation of non-Gaussian diffusion in cardiac MRI.
D. McClymont, I. Teh, E. Carruth, J. Omens, A. McCulloch, H. Whittington, P. Kohl, V. Grau, J.E. Schneider. Magnetic Resonance in Medicine. Doi: 10.1002/mrm.26466. 2016

Human ventricular activation sequence and the simulation of the electrocardiographic QRS complex and its variability in healthy and intraventricular block conditions. 

Cardone-Noott L*, Bueno-Orovio A,*, Mincholé A, Zemzemi N, Rodriguez B. *Equally contributing first authors. Europace. 18, iv4–iv15 Supplement paper. Doi:10.1093/europace/euw346. 2016. 

Sampling methods for exploring between-subject variability in cardiac electrophysiology experiments.
C.C. Drovandi, N. Cusimano, S. Psaltis, B.A. Lawson, A.N Pettitt, P. Burrage, K. Burrage. Journal of the Royal Society Interface. 13(121). pii: 20160214. Doi: 10.1098/rsif.2016.0214. 2016

 
Prospective acceleration of diffusion tensor imaging with compressed sensing using adaptive dictionaries.
D. McClymont, I. Teh, H.J. Whittington, V. Grau, J.E. Schneider. Magnetic Resonance in Medicine. 76(1):248-58. Doi:10.1002/mrm.25876. 2016.
 
Balance between Sodium and Calcium Currents Underlying Chronic Atrial Fibrillation Termination: An In Silico Inter–subject Variability Study.
A. Liberos, A. Bueno-Orovio, M. Rodrigo, U. Ravens, I. Hernandez-Romero, F. Fernandez-Aviles, M.S. Guillem, B. Rodriguez*, A.M. Climent*. *Equal Contribution as senior authors. Heart Rhythm. s1547-5271(16)30749-4S1547-5271(16)30671-3 Doi: http://dx.Doi.org/10.1016/j.hrthm.2016.08.028. 2016.
  
Rabbit-specific computational modelling of ventricular cell electrophysiology: Using populations of models to explore variability in the response of ischemia.
P. Gemmel, K. Burrage, B. Rodriguez, T.A. Quinn. Progress in Biophysics and Molecular Biology.121 (2):169–184. Doi: 10.1016/j.pbiomolbio.2016.06.003. 2016.
 
Anomalous diffusion in cardiac tissue as an index of myocardial microstructure. 
A. Bueno-Orovio, I. Teh, J.E. Schneider, K. Burrage, V. Grau. IEEE Transactions on Medical Imaging. 35(9). Doi: 10.1109/TMI.2016.2548503. 2016.
 
Up-regulation of miR-31 in human atrial fibrillation begets the arrhythmia by depleting dystrophin and neuronal nitric oxide synthase.
Reilly SN, X. Liu, R. Carnicer, A. Recalde, A. Muszkiewicz, R. Jayaram, M.C. Carena, M. Stefanini, N.C. Surdo, R. Wijesurenda, O. Lomas, C. Ratnatunga, R. Sayeed, G. Krasopoulos, T. Rajakumar, A. Bueno-Orovio, S. Verheule, T.A. Fulga, B. Rodriguez, U. Schotten, B. Casadei.   Science Translation Medicine, 8(340), 340ra74. Doi: 10.1126/scitranslmed.aac42962016. 2016
 
Mechanisms of pro-arrhythmic abnormalities in ventricular repolarisation and anti-arrhythmic therapies in human hypertrophic cardiomyopathy.
E. Passini, A. Mincholé, R. Coppini, E. Cerbai, B. Rodriguez, S. Severi, A. Bueno-Orovio. Journal of Molecular and Cellular Cardiology.Journal of Molecular and Cellular Cardiology 2016;96:72-81. Doi: 10.1016/j.yjmcc.2015.09.003. 2016.
 
Experimentally-based computational investigation into beat-to-beat variability in ventricular repolarization and its response to ionic current inhibition. 
E. Pueyo, C. Dangerfield, O.J. Britton, L. Virág, K. Kistamás, N. Szentandrássy, A. Varró, P.P. Nánási, K. Burrage, B. Rodríguez. PLoS One. 11(3):e0151461. Doi: 10.1371/journal.pone.0151461. 2016.

Early afterdepolarizations promote transmural reentry in ischemic human ventricles with reduced repolarization reserve. 
S. Dutta, A. Mincholé, E. Zacur, T.A. Quinn, P. Taggart, B. Rodriguez. Progress in Biophysics and Molecular Biology. Doi:10.1016/j.pbiomolbio.2016.01.008. 2016.

In vivo and in silico investigation into mechanisms of frequency dependence of repolarization alternans in human ventricular cardiomyocytes. 
X. Zhou, A. Bueno-Orovio, M. Orini, B. Hanson, M. Hayward, P. Taggart, P.D. Lambiase, K. Burrage, B. Rodriguez. Circulation Research: 2016;118:266-278. Doi: 10.1161/CIRCRESAHA.115.307836. 2016.

Development of Real-Time Magnetic Resonance Imaging of Mouse Hearts at 9.4 Tesla— Simulations and First Application.
T. Wech, N. Seiberlich, A. Schindele, V. Grau, L. Diffley, K.L. Gyngell, A. Borzì, H. Köstler, J.E. Schneider. In IEEE Transactions on medical imaging. 35,3:912-920. Doi:10.1109/TMI.2015.2501832. 2016.

Human-based approaches to pharmacology and cardiology: An interdisciplinary and intersectorial workshop.
B. Rodriguez, A. Carusi, N. Abi-Gerges, R. Ariga, O. Britton, G. Bub, A. Bueno-Orovio, R.A.B. Burton, V. Carapella, L. Cardone-Noott, M.J. Daniels, M.R. Davies, S. Dutta, A. Ghetti, V. Grau, S. Harmer, I. Kopljar, P. Lambiase, H. Rong Lu, A. Lyon, A. Minchole, A. Muszkiewicz, J. Oster, M. Paci, E. Passini, S. Severi, P. Taggart, A. Tinker, J.P. Valentin,A. Varro, M. Wallman, X. Zhou. Europace, 18(9): 1287-98. Doi: 10.1093/europace/euv320. 2016.

Variability in cardiac electrophysiology: using experimentally-calibrated populations of models to move beyond the single virtual physiological human paradigm. 
A. Muszkiewicz, O.J. Britton, P. Gemmell, E. Passini, C. Sánchez, X. Zhou, A. Carusi, T.A. Quinn, K. Burrage, A. Bueno-Orovio, B. Rodriguez. In Progress in Biophysics and Molecular Biology. Doi:10.1016/j.pbiomolbio.2015.12.002. 2016.

 

2015


Effects of L-type Calcium channel and hERG block on the electrical activity of the human heart: A simulation study.
N. Zemzemi, B. Rodriguez. Europace. Doi:10.1093/europace/euu122. 2015.

On the Order of the Fractional Laplacian in Determining the Spatio-Temporal Evolution of a Space-Fractional Model of Cardiac Electrophysiology.
N. Cusimano, A. Bueno-Orovio A, I. Turner, K. Burrage. PLoS One. 2;10(12):e0143938. Doi: 10.1371/journal.pone.0143938. 2015.

Human Induced Pluripotent Stem Cell-Derived Versus Adult Cardiomyocytes: An in Silico Electrophysiological Study on Effects of Ionic Current Block
M. Paci, J. Hyttinen, B Rodriguez, S. Severi. British Journal of Pharmacology. 172: 5147–5160. Doi: 10.1111/bph.13282. 2015.

Optimized Radiofrequency Coil Setup for MR Examination of Living Isolated Rat Hearts in a Horizontal 9.4T Magnet
M. Lohezic, C. Bollensdorff, M. Korn, T. Lanz, V. Grau, P. Kohl, J. E. Schneider. Magn Reson Med, 73 (6), 2398-405. 2015. DOI: 10.1002/mrm.25369

Fuzzy Segmentation of the Left Ventricle in Cardiac MRI Using Physiological Constraints. 
T. Papastylianou, C. Kelly, B. Villard, E. Dall’ Armellina, V. Grau. Functional Imaging and Modeling of the Heart. Lecture Notes in Computer Science. 9126: 231-239. Doi: 10.1007/978-3-319-20309-6 27.2015.

ECG-based estimation of dispersion of APD restitution as a tool to stratify sotalol-induced arrhythmic risk.
A. Minchole, A. Bueno-Orovio, P. Laguna, E. Pueyo, B. Rodriguez. Journal of Electrocardiology. S0022-0736(15)00187-9. Doi:10.1016/j.jelectrocard.2015.06.006. 2015.

Basis for the Induction of Tissue-Level Phase-2 Reentry as a Repolarization Disorder in the Brugada Syndrome
A. Bueno-Orovio, E. M. Cherry, S. J. Evans, F. H. Fenton. Biomed Res Int, 2015, 197586. Doi: 10.1155/2015/197586

2014 

Application of stochastic phenomenological modelling to cell-to-cell and beat-to-beat electrophysiological variability in cardiac tissue.
J. Walmsley, R.M. Gary, J.Pitt-Francis, B.Rodriguez, K. Burrage. Journal of Theoretical Biology. 365: 325–336. Doi:10.1016/j.jtbi.2014.10.029. 2015.

In silico pro-arrhythmia assessment: Can the results of the thorough QT study be predicted?G Mirams, M Davies, J Stott, B Rodriguez, Y Cui, D Noble, D Gavaghan, Najah Abi-Gerges. Journal of Pharmacological and Toxicological Methods 70 (3):318. Doi:10.1016/j.vascn.2014.03.033. 2014.

Three-dimensional histology: tools and application to quantitative assessment of cell-type distribution in rabbit heart.
R.AB Burton, P. Lee, R. Casero, A. Garny, U. Siedlecka, J. E. Schneider, P. Kohl, V. Grau. Europace. 16(Suppl 4): iv86–iv95. Doi: 10.1093/europace/euu234. 2014.

Images as drivers of progress in cardiac computational modelling.
P. Lamata, R. Casero, V. Carapella, S. A. Niederer, M. J. Bishop, J. E. Schneider, P. Kohl, V. Grau. Progress in Biophysics and Molecular Biology 115 (2–3): 198-212. Doi: 10.1016/j.pbiomolbio.2014.08.005. 2014.

Intersubject variability in human atrial action potential in sinus rhythm versus atrial fibrillation.
C. Sanchez, A. Bueno-Orovio, E. Wettwer, J. Simon, U. Ravens, E. Pueyo, B. Rodriguez. PLoS ONE. Doi: 10.1371/journal.pone.010589. 2014.

Fractional diffusion models of cardiac electrical propagation: role of structural heterogeneity in dispersion of repolarization.
A. Bueno-Orovio, D. Kay, V. Grau, B. Rodriguez, K. Burrage. Royal Society Interface, the Royal Society 11(97): 20140352. 2014.

Slow adaptation of ventricular repolarization as cause of arrhythmia?
A. Bueno-Orovio, B. Hanson, J. Gill, P. Taggart, B. Rodriguez. Methods of Information in Medicine, 2014;53(4):320-3. Doi: 10.3414/ME13-02-0039. 2014.

In Silico approaches for predicting the safety and efficacy of new medicines. In Human-based systems for translational research.
B. Rodriguez. Royal Society of Chemistry. Doi:10.1039/9781849738255. 2014.

Interrogation of living myocardium in multiple static deformation states with diffusion tensor and diffusion spectrum imaging.
M. Lohezic, I. Teh, C. Bollensdorff, R. Peyronnet, P. W Hales, V. Grau, P. Kohl, J. E Schneider. Progress in Biophysics and Molecular Biology 115 (2–3): 213-225. Doi:10.1016/j.pbiomolbio.2014.08.002. 2014.

Computational Cardiac Electrophysiology is ready for prime time.
S. Severi, B. Rodriguez, A. Zaza. Europace, 16(3): 382-383. Doi: 10.1093/europace/euu044. 2014.

Computational Cardiac Electrophysiology is moving towards translation medicine.
S. Severi, B. Rodriguez, A. Zaza. Eurospace.16(5):703-4.Doi:0.1093/europace/euu085. 2014.

Population of computational rabbit-specific ventricular action potential models for investigating sources of variability in cellular repolarisation.
P.Gemmell, K. Burrage, B. Rodriguez, TA Quinn. PLoS ONE, 9(2): Doi:10.1371/journal.pone.0090112. 2014.

Optimized radiofrequency coil setup for MR examination of living isolated rat hearts in a horizontal 9.4 T magnet.
M. Lohezic, C. Bollensdorff, M. Korn, T. Lanz, V. Grau, P. Kohl, J. E Schneider. Magnetic Resonance in Medicine. Doi: 10.1002/mrm.25369. 2014.

Quantitative Study of the Effect of Tissue Microstructure on Contraction in a Computational Model of Rat Left Ventricle.
V. Carapella, R. Bordas, P. Pathmanathan, M. Lohezic, J.E. Schneider, P. Kohl, K. Burrage, V. Grau. PloS one 9 (4), e92792: Doi:10.1371/journal.pone.00927922014.2014. 

Three-dimensional histology: tools and application to quantitative assessment of cell-type distribution in rabbit heart.
RAB. Burton,P. Lee, R. Casero, A.  Garny, U. Siedlecka, J. E. Schneider, P. Kohl, V. Grau. Europace 16(Suppl 4): iv86–iv95. Doi: 10.1093/europace/euu234. 2014.

Na/K pump regulation of cardiac repolarization: Insights from a systems approach.
A. Bueno−Orovio‚ C. Sánchez‚ E. Pueyo, B. Rodriguez. Pflügers Archiv European Journal of Physiology. 466 (2): 183-193. Doi: 10.1007/s00424-013-1293-1. 2014.

Computational Methods to Reduce Uncertainty in the Estimation of Cardiac Conduction Properties From Electroanatomical Recordings
W. Wallman, N. Smith, B. Rodriguez. Medical Image Analysis, 18(1):228-240. Doi: 10.1016/j.media.2014.

2013

Rearrangement of atrial bundle architecture and consequent changes in anisotropy of conduction constitute the 3-dimensional substrate for atrial fibrillation.
B. Maesen, S. Zeemering, C. Afonso, J. Eckstein, R. AB Burton, A. van Hunnik, D.J. Stuckey, D. Tyler, J. Maessen, V. Grau, S. Verheule, P. Kohl, U. Schotten. Circulation: Arrhythmia and Electrophysiology, CIRCEP. 112.0000501. 2013.

Experimentally−calibrated population of models predicts and explains inter−subject variability in cardiac cellular electrophysiology.
O. Britton‚ A. Bueno−Orovio‚ K. Van   Ammel‚ HR. Lu‚ R. Towart‚ DJ. Gallacher, B. Rodriguez. Proceedings of the National Academy of Sciences. 110 (23): E2098-E2105. Doi:10.1073/pnas.1304382110. 2013.

mRNA expression levels in failing human hearts predict  cellular electrophysiological remodelling: A population−based simulation study.
J.Walmsley‚ J.F. Rodriguez‚ G.R. Mirams‚ K. Burrage‚ I.R. Efimov and B. Rodriguez. PLoS ONE. 8 (2): e56359. Doi: 10.1371/journal.pone.0056359. 2013.

Computational assessment of drug−induced effects on the electrocardiogram: from ion channel block to body surface potentials.
N. Zemzemi‚ M.O. Bernabeu‚ J. Saiz‚ J. Cooper‚ P. Pathmanathan‚ G.R. Mirams‚ J. Pitt−Francis, B. Rodriguez. British Journal of Pharmacology. 168 (3):718−733. 2013.

Estimation of conductivity tensors from human ventricular optical mapping recordings.
J. Walmsley‚ G.R. Mirams‚ I.R. Efimov‚ K. Burrage, B. Rodriguez. Functional Imaging and Modeling of the Heart. 7495: 224–231. Doi 10.1007/978-3-642-38899-6_27. 2013.

Rearrangement of atrial bundle architecture and consequent changes in anisotropy of conduction constitute the 3-dimensional substrate for atrial fibrillation.
B. Maesen, S. Zeemering, C. Afonso, J. Eckstein, R. AB Burton, A. van Hunnik, D. J Stuckey, D. Tyler, J. Maessen, V. Grau, S. Verheule, P. Kohl, U. Schotten. Circulation. Doi: 10.1161/CIRCEP.113.000050. 2013.

Multiview diffeomorphic registration: Application to motion and strain estimation from 3D echocardiography.
G.Piella, M. De Craene, C. Butakoff, V. Grau, C. Yao, S.Nedjati-Gilani, G.P. Penney, A.F. Frangi. Medical image analysis. 17(3): 348-3644. 2013.

Effect of fibre orientation optimisation in an electromechanical model of left ventricular contraction in rat.
V. Carapella, R. Bordas, P. Pathmanathan, J.E. Schneider, P. Kohl, K. Burrage, V. Grau. Functional Imaging and Modeling of the Heart. Lecture Notes in Computer Science. 7945:45-53. 2013.

Model-based vasculature extraction from optical fluorescence cryomicrotome images.
A. Goyal, J. Lee, P. Lamata, J. van den Wijngaard, P. van Horssen, J. Spaan, M. Siebes, V. Grau, N. P. Smith. Medical Imaging, IEEE Transactions on 32 (1), 56-726. Doi:10.1007/978-3-642-38899-6_6. 2013.

Modeling and quantification of repolarization feature dependency on heart rate.
A. Mincholé‚ E. Zacur‚ E. Pueyo and P. Laguna. Methods of Information in Medicine. 53(4):324-8. Doi: 10.3414/ME13-02-0040. 2013.

Detection of Body Position Changes from the ECG using a Laplacian Noise Model. 
J. Lazaro‚ E. Gil‚ R. Bailón‚ A. Mincholé, P. Laguna. Biomedical Signal Processing and   Control. 14:189–196 Doi: 10.1016/j.bspc.2014.08.002. 2013.

2012

The Na+/K+ pump is an important modulator of refractoriness and rotor dynamics in human atrial tissue.
C. Sánchez‚ A. Corrias‚ A. Bueno−Orovio‚ M.Davies‚ J. Swinton‚ I. Jacobson‚ P. Laguna‚ E. Pueyo, B. Rodŕıguez. American Journal of Physiology−Heart and Circulatory Physiology. 302 (5):H1146–H1159. Doi: 10.1152/ajpheart.00668.2011. 2012.

In vivo human left-to-right ventricular differences in rate adaptation transiently increase pro-arrhythmic risk following rate acceleration.
A. Bueno-Orovio, B. Hanson, J. Gill, P. Taggart, B. Rodriguez. PLoS ONE 7(12): e52234. Doi:10.1371/journal.pone.0052234. 2012.

Bridging experiments, models and simulations: An integrative approach to validation in cardiac electrophysiology.
A. Carusi, K. Burrage, B. Rodriguez. American Journal of Physiology - Heart and Circulatory Physiology, 303 (2):H144-H155. Doi:10.1152/ajpheart.01151.2011. 2012.

Resolving the Three-Dimensional Histology of the Heart.
M. Gibb, R.A.B. Burton, C. Bollensdorff, C. Afonso, T. Mansoori, U.   Schotten, D. Gavaghan, B. Rodriguez, J.E. Schneider, P. Kohl, V. Grau. Computational Methods in Systems Biology. Lecture Notes in Computer Science. 7605:2-16. Doi: 10.1007/978-3-642-33636-2_2. 2012.

A bidomain model of the cardiac specialized conduction system of the heart.
R. Bordas, K. Gillow, D. Gavaghan, B. Rodriguez, D. Kay. SIAM Journal on Applied Mathematics. 72(5), 1618–1643, Doi: 10.1137/11082796X. 2012. 

Stochasticity in Action Potential duration Enhances Dispersion of Repolarisation at Fast Pacing Rates.
J. Walmsley‚ K. Burrage‚ J. M. Pitt−Francis‚ G.R. Mirams, B. Rodriguez. Biophysical Journal. 102(3): 592a−593a.Doi:10.1016/j.bpj.2011.11.3230. 2012.

A Comparative Study of Graph-Based, Eikonal, and Monodomain Simulations for the Estimation of Cardiac Activation Times
M. Wallman, N. P. Smith, B. Rodriguez. IEEE Trans Biomed Eng, 59 (6), 1739-48. 2012. DOI: 10.1109/TBME.2012.2193398

2011

Estimation of activation times in cardiac tissue using graph based methods.
M. Wallman, N. Smith, B. Rodriguez. Functional Imaging and Modeling of the Heart Lecture Notes in Computer Science. 6666:71-79, Doi: 10.1007/978-3-642-21028-0_9. 2011.

A multi-scale investigation of repolarization variability and its role in cardiac arrhythmogenesis.
E. Pueyo, A.Corrias, L. Virag, N. Jost, T. Szel, A. Varro,N. Szentandrássy,P.P. Nánási,K. Burrage, B. Rodriguez. Biophys Journal, 101(12):2892-902, Doi: 10.1016/j.bpj.2011.09.060. 2011.

The role of photon scattering in voltage-calcium fluorescent recordings of ventricular fibrillation.
M.J. Bishop, A. Rowley, B. Rodriguez, G. Plank, D.J. Gavaghan, B. Gil. Biophys Journal, 101(2):307-18, Doi: 10.1016/j.bpj.2011.06.012. 2011.

Rabbit-specific ventricular model of cardiac electrophysiological function including specialized conduction system.
R. Bordas, K. Gillow, Q. Lou, I. Efimov,P. Kohl,D. Gavaghan,V. Grau,B. Rodriguez. Progress in Biophysics and Molecular Biology. 107(1):90-100. Doi: 10.1016/j.pbiomolbio.2011.05.002. 2011

Systematic characterization of the Ionic Basis of Rabbit Cellular Electrophysiology Using Two Ventricular Models.
L. Romero, B. Carbonell, B. Trenor, B. Rodriguez, J. Saiz, J.M. Ferrero. Progress in Biophysics and Molecular Biology, 107(1):60-73, Doi: 10.1016/j.pbiomolbio.2011.06.012, 2011. 

Novel approaches to assessing cardiac safety: Procedings of a workshop.
K. Fletcher, R. Shah, A.Thomas, F. Tobin, B. Rodriguez, Mirams G, Saiz J, Noble D. Drug Safety, 1;34(5):439-43, Doi: 10.2165/11591950-000000000-00000. 2011.

Ionic mechanisms of electrophysiological properties and repolarization abnormalities in rabbit Purkinje fibers.
A. Corrias, W. Giles, B. Rodriguez. American Journal of Physiology - Heart and Circulatory Physiology, 300(5):H1806-13, Doi: 10.1152/ajpheart.01170.2010, 2011. 

Simulating drug-induced effects on the heart: from ion channel to body surface electrocardiogram.
N. Zemzemi, M. Bernabeu, J. Saiz, B. Rodriguez. Lecture Notes in Computer Science, 6666 (259-266). 2011.

Interpreting optical mapping recordings in the ischemic heart. A combined experimental and computational investigation.
S. Dutta,M. Bishop, P. Lee,P. Kohl, A. Quinn,B. Rodriguez. Lecture Notes in Computer Science, 6666: 20-27. Doi: 10.1007/978-3-642-21028-0_3. 2011.

The evaluation of single-view and multiview fusion 3D echocardiography using image-driven segmentation and tracking.
K. Rajpoot,V. Grau, A. Noble, H. Becher, C. Szmigielski. Medical Image Analysis (2011) 15(4): 514-528. Doi: 10.1016/j.media.2011.02.007. 2011.

Multi-view fusion 3D echocardiography: Improving the information and quality of real-time 3D echocardiography.
K. Rajpoot, V. Grau, J.A. Noble, C. Szmigielski, H. Becher. Multi Ultrasound in Medicine & Biology, 37(7):1056-1072. Doi: 10.1016/j.ultrasmedbio.2011.04.018. 2011.

2010

The systems biology approach to drug development: Application to toxicity assessment of drug toxicity.
B. Rodriguez, K. Burrage, D. Gavaghan, V. Grau, P. Kohl , D. Noble. Clinical Pharmacology and Therapeutics, 88(1): 130-134. Doi: 10.1038/clpt.2010.95. 2010.

High-throughput cardiac science on the grid.
D. Abramson, M. Bernabeu, B. Bethwaite, K. Burrage, A. Corrias, C. Enticott, S. Garic, D. Gavaghan, T. Peachey, J. Pitt-Francis , E. Pueyo,B. Rodriguez, A. Sher, K. Tan. In Philosophical Translations of the Royal Society, 368 (1925): 3907-3923, Doi: 10.1098/rsta.2010.0170. 2010.

Mechanisms of ventricular rate adaptation as a predictor of arrhythmic risk.
E. Pueyo, Z. Husti,T. Hornyik, I.  Baczko, P. Laguna,A. Varro, B. Rodriguez. American Journal of Physiology - Heart and Circulatory Physiology, 298:1577-1587,Doi:10.1152/ajpheart.00936.2009. 2010.

Real-time 3D Fusion Echocardiography.
C. Szmigielski, K. Rajpoot, V. Grau, S. G. Myerson, C. Holloway, J. A. Noble, R. Kerber, H. Becher. JACC Cardiovasc Imaging, 3 (7), 682-90. 2010. DOI: 10.1016/j.jcmg.2010.03.010

Arrhythmic risk biomarkers for the assessment of drug cardiotoxicity:: from experiments to computer simulations.
A. Corrias, X. Jie, L. Romero, M.J. Bishop,M. Bernabeu, E. Pueyo,B. Rodriguez. Philosophical Translations of the Royal Society, 368: 3001-3025, Doi: 10.1098/rsta.2010.0083. 2010.

Development of an anatomically-detailed MRI-derived rabbit ventricular model and assessment of its impact on simulation of electrophysiological function.
M.J. Bishop, G. Plank, R.A. Burton, J.E. Schneider, D. Gavaghan, V. Grau, P. Kohl. American Journal of Physiology 2010/298:H699-H718. Doi: 10.1152/ajpheart.00606. 2009.

2009

Multiscale modelling of drug-induced effects on cardiac electrophysiological activity.
T. Brennan,M. Fink,B. Rodriguez. European Journal Pharmaceutical Sciences, 36(1):62-77, doi: 10.1016/j.ejps.2009.09.013. 2009

Impact of biological variability on human ventricular cellular electrophysiology.
L. Romero, E. Pueyo, M. Fink, B. Rodriguez. American Journal of Physiology - Heart and Circulatory Physiology, 297: H1436–H1445, Doi: 10.1152/ajpheart.00263.2009. 2009.

Generation of Histo-Anatomically Representative Models of the Individual Heart: Tools and Application
G. Plank, R. A. B. Burton, P. Hales, M.Bishop, T. Mansoori, M. O. Bernabeu, A. Garny, A. J. Prassl, C. Bollensdorff, F. Mason, F. Mahmood, B. Rodriguez, V. Grau, J. E. Schneider, D. Gavaghan, P. Kohl. Philos Trans A Math Phys Eng Sci, 367 (1896), 2257-92.2009. DOI: 10.1098/rsta.2009.0056

Chaste: a test-driven approach to software development for biological modelling.
J. Pitt-Francis, P. Prasmanathan, M.O. Bernabeu, R. Bordas, J. Cooper, A. Fletcher , G.R. Mirams, P. Murray, J.M. Osbourne, A. Walter, J. Chapman, A. Garny, I. van Leeuwen, P.K. Maini, B. Rodriguez, S.L. Waters, J.P. Whiteley, H.M. Byrne, D. J. Gavaghan. Computer Physics Communications, 180(12): 2452-2472, Doi: 10.1016/j.cpc.2009.07.019. 2009.

CHASTE: Incorporating a Novel Multi-Scale Spatial and Temporal Algorithm Into a Large-Scale Open Source Library.
M. O. Bernabeu, R. Bordas, P. Pathmanathan, J. Pitt-Francis, J. Cooper, A. Garny, D. J Gavaghan, B. Rodriguez, J. A. Southern, J. P. Whiteley.
Philos Trans A Math Phys Eng Sci , 367 (1895), 1907-30. 2009. Doi: 10.1098/rsta.2008.0309

Novel Approaches to Assessing Cardiac Safety--Proceedings of a Workshop: Regulators, Industry and Academia Discuss the Future of in Silico Cardiac Modelling to Predict the Proarrhythmic Safety of Drugs
K. Fletcher, R. R. Shah, A. Thomas, F. Tobin, B. Rodriguez, G. R. Mirams, J. Saiz, D. Noble. Drug Saf, 34 (5), 439-43. 2011. DOI: 10.2165/11591950-000000000-00000