Latest Publications


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 Nov 14;9(1):16803. doi: 10.1038/s41598-019-53221-2. PMID: 31728039.

General Principles for the Validation of Proarrhythmia Risk Prediction Models: an Extension of the CiPA In Silico Strategy
Z. Li , G.R. Mirams, T. Yoshinaga, B.J. Ridder, X. Han, J.E. Chen, N.L. Stockbridge, T.A. 
Wisialowski, B. Damiano, S. Severi, P. Morissette, P.R. Kowey, M. Holbrook, G. Smith, R.L. Rasmusson, M. Liu, Z. Song, Z. Qu, D.J. Leishman, J. Steidl-Nichols, B. Rodriguez, A. Bueno-Orovio, X. Zhou, E. Passini, A.G. Edwards, S. Morotti, H. Ni, E. Grandi, C.E. Clancy, J. Vandenberg, A. Hill, M. Nakamura, T. Singer, L. Polonchuk, A. Greiter-Wilke, K. Wang, S. Nave, A. Fullerton, E.A. Sobie, M. Paci, F.M. Tshinanu, D.G. Strauss. Clin Pharmacol Ther. 2019 Biv 10. doi:10.1002/cpt.1647.

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

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
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. 


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.


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. 

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. 

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. TixierD. LombardiB. RodriguezJ.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. RodriguezG. BubJ. Heijman. 

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.

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. 12940-52. Doi:10.1016/j.pbiomolbio.2017.02.007. 2017. 


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. BurrageJournal 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 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.


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. 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-based approaches to pharmacology and cardiology: An interdisciplinary and intersectorial workshop.
, A. , N. ,, O. ,, A. , R.A.B. ,, L. , M.J. , M.R. ,, A. , V. , S. , I. , P. ,, A. , A. , J. , M. , E. , S. , P. , A. , J.P. ,A. , M. , X. Europace. Doi: 10.1093/europace/euv320. 2015.

Human induced pluripotent stem cell-derived versus adult cardiomyocytes: an in silico electrophysiological study on ionic current block effects.

M. Paci, J. Hyttinen, B Rodriguez, S. Severi. British Journal of Pharmacology. 17251475160. Doi: 10.1111/bph.13282. 2015.

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.


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. 2014.

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 QuinnPLoS 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.


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.

Computational strategies to reduce uncertainty in the estimation of electrophysiological properties based on informed placement of endocardial measurements.
W. Wallman, N. Smith, B. Rodriguez. Medical Image Analysis, 18(1):228-240. Doi: 10.1016/

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. 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.


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.

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/ 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.


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. Nature 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.

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.


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.2008.09.013. 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.

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.

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.