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David Gavaghan
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- affiliation: University of Oxford, UK
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2020 – today
- 2024
- [j23]Kit Gallagher
, Richard Creswell, Ben Lambert, Martin Robinson, Chon Lok Lei
Ten simple rules for training scientists to make better software. PLoS Comput. Biol. 20(9): 1012410 (2024) - [i4]Kit Gallagher
Ten simple rules for teaching sustainable software engineering. CoRR abs/2402.04722 (2024) - 2023
- [j22]Chon Lok Lei
Model-driven optimal experimental design for calibrating cardiac electrophysiology models. Comput. Methods Programs Biomed. 240: 107690 (2023) - [j21]David Augustin
Filter inference: A scalable nonlinear mixed effects inference approach for snapshot time series data. PLoS Comput. Biol. 19(5) (2023) - [i3]Richard Creswell, Katherine M. Shepherd, Ben Lambert, Gary R. Mirams, Chon Lok Lei, Simon Tavener, Martin Robinson, David J. Gavaghan:
Understanding the impact of numerical solvers on inference for differential equation models. CoRR abs/2307.00749 (2023) - 2022
- [c25]Aditi Agrawal
Modelling the Effect of Intracellular Calcium in the Rundown of L-Type Calcium Current. CinC 2022: 1-4 - [c24]Yann-Stanislas H. M. Barral, Liudmila Polonchuk, Gary R. Mirams, Michael Clerx, Guy Page, Katrina Sweat, Najah Abi-Gerges, Ken Wang, David J. Gavaghan:
Normalisation of Action Potential Data Recorded with Sharp Electrodes Maximises Its Utility for Model Development. CinC 2022: 1-4 - 2021
- [j20]Graham Lee, Sebastian Bacon, Ian Bush, Laura Fortunato, David Gavaghan, Thibault Lestang, Caroline Morton, Martin Robinson, Philippe Rocca-Serra, Susanna-Assunta Sansone, Helena Webb
Barely sufficient practices in scientific computing. Patterns 2(2): 100206 (2021) - 2020
- [j19]Fergus R. Cooper
Chaste: Cancer, Heart and Soft Tissue Environment. J. Open Source Softw. 5(47): 1848 (2020) - [i2]Thomas Foster, Chon Lok Lei, Martin Robinson, David Gavaghan, Ben Lambert:
Model Evidence with Fast Tree Based Quadrature. CoRR abs/2005.11300 (2020)
2010 – 2019
- 2018
- [i1]Michael Clerx, Martin Robinson, Ben Lambert, Chon Lok Lei, Sanmitra Ghosh, Gary R. Mirams, David J. Gavaghan:
Probabilistic Inference on Noisy Time Series (PINTS). CoRR abs/1812.07388 (2018) - 2017
- [j18]Sophie K. Kay
The role of the Hes1 crosstalk hub in Notch-Wnt interactions of the intestinal crypt. PLoS Comput. Biol. 13(2) (2017) - [j17]James M. Osborne
Comparing individual-based approaches to modelling the self-organization of multicellular tissues. PLoS Comput. Biol. 13(2) (2017) - [j16]Samuel Demharter
Ten simple rules for surviving an interdisciplinary PhD. PLoS Comput. Biol. 13(5) (2017) - 2016
- [c23]Ross Johnstone, Rémi Bardenet, David Gavaghan, Liudmila Polonchuk, Mark Davies, Gary R. Mirams:
Hierarchical Bayesian Modelling of Variability and Uncertainty in Synthetic Action Potential Traces. CinC 2016 - 2015
- [j15]Tom Doel
Review of automatic pulmonary lobe segmentation methods from CT. Comput. Medical Imaging Graph. 40: 13-29 (2015) - [j14]Bernhard Knapp, Rémi Bardenet, Miguel O. Bernabeu, Rafel Bordas
Ten Simple Rules for a Successful Cross-Disciplinary Collaboration. PLoS Comput. Biol. 11(4) (2015) - 2014
- [j13]Thomas A. Dunton, Joseph E. Goose, David J. Gavaghan
The Free Energy Landscape of Dimerization of a Membrane Protein, NanC. PLoS Comput. Biol. 10(1) (2014) - [j12]James M. Osborne
Ten Simple Rules for Effective Computational Research. PLoS Comput. Biol. 10(3) (2014) - [c22]Mandeep Gill, Steve McKeever, David Gavaghan:
Model Composition for Biological Mathematical Systems. MODELSWARD 2014: 217-224 - 2013
- [j11]Anna Sher, Ken Wang, Andrew J. Wathen, Philip John Maybank, Gary R. Mirams
A local sensitivity analysis method for developing biological models with identifiable parameters: Application to cardiac ionic channel modelling. Future Gener. Comput. Syst. 29(2): 591-598 (2013) - [j10]Gary R. Mirams
Chaste: An Open Source C++ Library for Computational Physiology and Biology. PLoS Comput. Biol. 9(3) (2013) - 2012
- [j9]Sara-Jane Dunn, Paul L. Appleton, Scott A. Nelson, Inke S. Näthke
A Two-Dimensional Model of the Colonic Crypt Accounting for the Role of the Basement Membrane and Pericryptal Fibroblast Sheath. PLoS Comput. Biol. 8(5) (2012) - [j8]Rafel Bordas
A Bidomain Model of the Ventricular Specialized Conduction System of the Heart. SIAM J. Appl. Math. 72(5): 1618-1643 (2012) - [j7]Boguslaw Obara, Mark D. Fricker
Contrast-Independent Curvilinear Structure Detection in Biomedical Images. IEEE Trans. Image Process. 21(5): 2572-2581 (2012) - [c21]Matthew Gibb, Rebecca Burton
Resolving the Three-Dimensional Histology of the Heart. CMSB 2012: 2-16 - [c20]Tom Doel
Pulmonary lobe segmentation from CT images using fissureness, airways, vessels and multilevel B-splines. ISBI 2012: 1491-1494 - [c19]Mandeep Gill, Steve McKeever, David Gavaghan:
Modular mathematical modelling of biological systems. SpringSim (TMS-DEVS) 2012: 36 - [c18]Mandeep Gill, Steve McKeever, David Gavaghan
Modules for Reusable and Collaborative Modelling of Biological Mathematical Systems. WETICE 2012: 250-255 - 2011
- [c17]Ilyas E. Karadag, Martin J. Bishop
Regionally Optimised Mathematical Models of Cardiac Myocyte Orientation in Rat Hearts. FIMH 2011: 294-301 - 2010
- [j6]Jonathan Cooper
A Posteriori Error Analysis for the Use of Lookup Tables in Cardiac Electrophysiology Simulations. SIAM J. Sci. Comput. 32(4): 2167-2189 (2010) - [c16]Andrew Simpson
On the Secure Sharing and Aggregation of Data to Support Systems Biology Research. DILS 2010: 58-73 - [c15]Anna Sher, Ken Wang, Andrew J. Wathen, Gary R. Mirams
A Local Sensitivity Analysis Method for Developing Biological Models with Identifiable Parameters: Application to L-type Calcium Channel Modelling. eScience 2010: 176-181 - [c14]Colin Enticott, Thomas C. Peachey, David Abramson
Electrochemical Parameter Optimization Using Scientific Workflows. eScience 2010: 324-330
2000 – 2009
- 2009
- [j5]Joe Pitt-Francis
Chaste: A test-driven approach to software development for biological modelling. Comput. Phys. Commun. 180(12): 2452-2471 (2009) - [c13]Martin J. Bishop
Comparison of Rule-Based and DTMRI-Derived Fibre Architecture in a Whole Rat Ventricular Computational Model. FIMH 2009: 87-96 - 2008
- [j4]Pras Pathmanathan, David Gavaghan
Predicting Tumor Location by Modeling the Deformation of the Breast. IEEE Trans. Biomed. Eng. 55(10): 2471-2480 (2008) - [c12]Anna Sher, David Abramson
Incorporating Local Ca2+ Dynamics into Single Cell Ventricular Models. ICCS (1) 2008: 66-75 - [c11]Michal Plotkowiak, Blanca Rodríguez, Gernot Plank
High Performance Computer Simulations of Cardiac Electrical Function Based on High Resolution MRI Datasets. ICCS (1) 2008: 571-580 - 2007
- [j3]Sharon Lloyd, David Gavaghan
Integrative Biology - the challenges of developing a collaborative research environment for heart and cancer modelling. Future Gener. Comput. Syst. 23(3): 457-465 (2007) - [c10]Tahier Mansoori, Gernot Plank
An Iterative Method for Registration of High-Resolution Cardiac Histoanatomical and Mri Images. ISBI 2007: 572-575 - 2006
- [c9]Mark Slaymaker
A Prototype Infrastructure for the Secure Aggregation of Imaging and Pathology Data for Colorectal Cancer Care. CBMS 2006: 63-68 - [c8]Martin J. Bishop
Modulation of Shock-End Virtual Electrodoe Polarisation as a Direct Result of 3D Fluorescent Photon Scattering. EMBC 2006: 1556-1559 - [c7]Blanca Rodríguez
Vulnerability to electric shocks in the regionally-ischemic ventricles. EMBC 2006: 2280-2283 - [c6]Thushka Maharaj, Blanca Rodríguez
Transmural electrophysiological heterogeneities in action potential duration increase the upper limit of vulnerability. EMBC 2006: 4043-4046 - 2005
- [j2]Jonathan P. Whiteley, David Gavaghan
Oxygen transport to muscle tissue where regions of low oxygen tension exist. Math. Comput. Model. 42(9-10): 1113-1122 (2005) - [c5]R. H. J. Begent, J. Michael Brady, Anthony Finkelstein, David Gavaghan
Challenges of Ultra Large Scale Integration of Biomedical Computing Systems. CBMS 2005: 64-69 - 2004
- [c4]Pras Pathmanathan, David Gavaghan
Predicting Tumour Location by Simulating Large Deformations of the Breast Using a 3D Finite Element Model and Nonlinear Elasticity. MICCAI (2) 2004: 217-224 - 2002
- [j1]Darragh McInerney, David Gavaghan
The Dynamics and Pinning of a Spike for a Reaction-Diffusion System. SIAM J. Appl. Math. 62(4): 1297-1328 (2002) - [c3]Ken W. Brodlie, Jason D. Wood, David A. Duce, Julian R. Gallop, David Gavaghan, Michael B. Giles, S. Hague, Jeremy Walton, M. Rudgyard, Brian Collins, J. Ibbotson, Alan Knox:
XML for Visualization. EuroWeb 2002 - [c2]Dave Stainforth, Jamie Kettleborough, Andrew P. Martin, Andrew Simpson, R. Gillis, A. Akkas, R. Gault, Mat Collins, David Gavaghan, Myles Allen:
Climateprediction.net: Design Principles for Publicresource Modeling Research. IASTED PDCS 2002: 32-38 - 2000
- [c1]Ljupco Todorovski, Saso Dzeroski, Ashwin Srinivasan, Jonathan P. Whiteley, David Gavaghan:
Discovering the Structure of Partial Differential Equations from Example Behaviour. ICML 2000: 991-998
Coauthor Index
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last updated on 2024-12-02 21:26 CET by the dblp team
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