Simon R. Arridge

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 63

Top Venues

CoRR

IEEE Trans. Medical Imaging

J. Comput. Phys.

MICCAI (2)

Publications

Gevik Grigorian, Sandip V. George, Simon R. Arridge
Learning Governing Equations of Unobserved States in Dynamical Systems. CoRR (2024)
Simone Appella, Simon R. Arridge, Chris J. Budd, Teo Deveney, Lisa Maria Kreusser
Equidistribution-based training of Free Knot Splines and ReLU Neural Networks. CoRR (2024)
Alexander Denker, Zeljko Kereta, Imraj RD Singh, Tom Freudenberg, Tobias Kluth, Peter Maass, Simon R. Arridge
Data-driven approaches for electrical impedance tomography image segmentation from partial boundary data. CoRR (2024)
Olivier Jaubert, Michele Pascale, Javier Montalt-Tordera, Julius Akesson, Ruta Virsinskaite, Daniel Knight, Simon R. Arridge, Jennifer Anne Steeden, Vivek Muthurangu
Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction. CoRR (2023)
Imraj RD Singh, Alexander Denker, Riccardo Barbano, Zeljko Kereta, Bangti Jin, Kris Thielemans, Peter Maass, Simon R. Arridge
Score-Based Generative Models for PET Image Reconstruction. CoRR (2023)
Robert Twyman, Simon R. Arridge, Zeljko Kereta, Bangti Jin, Ludovica Brusaferri, Sangtae Ahn, Charles W. Stearns, Brian F. Hutton, Irene A. Burger, Fotis Kotasidis, Kris Thielemans
An Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction. IEEE Trans. Medical Imaging 42 (1) (2023)
Olivier Jaubert, Javier Montalt-Tordera, Daniel Knight, Simon R. Arridge, Jennifer Anne Steeden, Vivek Muthurangu
HyperSLICE: HyperBand optimised Spiral for Low-latency Interactive Cardiac Examination. CoRR (2023)
Efthymios Maneas, Andreas Hauptmann, Erwin J. Alles, Wenfeng Xia, Sacha Noimark, Anna L. David, Simon R. Arridge, Adrien E. Desjardins
Enhancement of instrumented ultrasonic tracking images using deep learning. Int. J. Comput. Assist. Radiol. Surg. 18 (2) (2023)
Antonio Stanziola, Simon R. Arridge, Ben T. Cox, Bradley E. Treeby
j-Wave: An open-source differentiable wave simulator. SoftwareX 22 (2023)
Simon R. Arridge, Andreas Hauptmann, Yury Korolev
Inverse Problems with Learned Forward Operators. CoRR (2023)
Satu I. Inkinen, Mikael A. K. Brix, Miika T. Nieminen, Simon R. Arridge, Andreas Hauptmann
Unsupervised denoising for sparse multi-spectral computed tomography. CoRR (2022)
Meghdoot Mozumder, Andreas Hauptmann, Ilkka Nissilä, Simon R. Arridge, Tanja Tarvainen
A Model-Based Iterative Learning Approach for Diffuse Optical Tomography. IEEE Trans. Medical Imaging 41 (5) (2022)
Antonio Stanziola, Simon R. Arridge, Ben T. Cox, Bradley E. Treeby
A Learned Born Series for Highly-Scattering Media. CoRR (2022)
Olivier Jaubert, Javier Montalt-Tordera, James Brown, Daniel Knight, Simon R. Arridge, Jennifer Anne Steeden, Vivek Muthurangu
FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation. CoRR (2022)
Antonio Stanziola, Simon R. Arridge, Ben T. Cox, Bradley E. Treeby
j-Wave: An open-source differentiable wave simulator. CoRR (2022)
Antonio Stanziola, Simon R. Arridge, Ben T. Cox, Bradley E. Treeby
A Helmholtz equation solver using unsupervised learning: Application to transcranial ultrasound. J. Comput. Phys. 441 (2021)
Juan F. P. J. Abascal, Nicolas Ducros, Valeriya Pronina, Simon Rit, Pierre-Antoine Rodesch, Thomas Broussaud, Suzanne Bussod, Philippe C. Douek, Andreas Hauptmann, Simon R. Arridge, Françoise Peyrin
Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach. IEEE Access 9 (2021)
Arttu Arjas, Erwin J. Alles, Efthymios Maneas, Simon R. Arridge, Adrien E. Desjardins, Mikko J. Sillanpää, Andreas Hauptmann
Neural Network Kalman filtering for 3D object tracking from linear array ultrasound data. CoRR (2021)
Zeljko Kereta, Robert Twyman, Simon R. Arridge, Kris Thielemans, Bangti Jin
Stochastic EM methods with Variance Reduction for Penalised PET Reconstructions. CoRR (2021)
Riccardo Barbano, Zeljko Kereta, Andreas Hauptmann, Simon R. Arridge, Bangti Jin
Unsupervised Knowledge-Transfer for Learned Image Reconstruction. CoRR (2021)
Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon R. Arridge
On Learned Operator Correction in Inverse Problems. SIAM J. Imaging Sci. 14 (1) (2021)
Antonio Stanziola, Simon R. Arridge, Ben T. Cox, Bradley E. Treeby
A research framework for writing differentiable PDE discretizations in JAX. CoRR (2021)
Bolin Pan, Simon R. Arridge, Felix Lucka, Ben T. Cox, Nam Huynh, Paul C. Beard, Edward Z. Zhang, Marta M. Betcke
Photoacoustic Reconstruction Using Sparsity in Curvelet Frame: Image Versus Data Domain. IEEE Trans. Computational Imaging 7 (2021)
Riccardo Barbano, Chen Zhang, Simon R. Arridge, Bangti Jin
Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent. ICPR (2020)
Andreas Hauptmann, Jonas Adler, Simon R. Arridge, Ozan Öktem
Multi-Scale Learned Iterative Reconstruction. IEEE Trans. Computational Imaging 6 (2020)
Suzanne Bussod, Juan F. P. J. Abascal, Simon R. Arridge, Andreas Hauptmann, Christine Chappard, Nicolas Ducros, Françoise Peyrin
Convolutional Neural Network for Material Decomposition in Spectral CT Scans. EUSIPCO (2020)
Antonio Stanziola, Simon R. Arridge, Ben T. Cox, Bradley E. Treeby
A Helmholtz equation solver using unsupervised learning: Application to transcranial ultrasound. CoRR (2020)
Bolin Pan, Simon R. Arridge, Felix Lucka, Ben T. Cox, Nam Huynh, Paul C. Beard, Edward Z. Zhang, Marta M. Betcke
Photoacoustic Reconstruction Using Sparsity in Curvelet Frame. CoRR (2020)
Riccardo Barbano, Zeljko Kereta, Chen Zhang, Andreas Hauptmann, Simon R. Arridge, Bangti Jin
Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction. CoRR (2020)
Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon R. Arridge
On Learned Operator Correction. CoRR (2020)
Juan F. P. J. Abascal, Nicolas Ducros, Valeriya Pronina, Suzanne Bussod, Andreas Hauptmann, Simon R. Arridge, Philippe Douek, Françoise Peyrin
Material Decomposition Problem in Spectral CT: A Transfer Deep Learning Approach. ISBI Workshops (2020)
Yu-Jung Tsai, Georg Schramm, Sangtae Ahn, Alexandre Bousse, Simon R. Arridge, Johan Nuyts, Brian F. Hutton, Charles W. Stearns, Kris Thielemans
Benefits of Using a Spatially-Variant Penalty Strength With Anatomical Priors in PET Reconstruction. IEEE Trans. Medical Imaging 39 (1) (2020)
Riccardo Barbano, Chen Zhang, Simon R. Arridge, Bangti Jin
Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent. CoRR (2020)
Simon R. Arridge, Andreas Hauptmann
Networks for Nonlinear Diffusion Problems in Imaging. J. Math. Imaging Vis. 62 (3) (2020)
Jennifer Anne Steeden, Michael Quail, Alexander Gotschy, Andreas Hauptmann, Simon R. Arridge, Rodney Jones, Vivek Muthurangu
Rapid Whole-Heart CMR with Single Volume Super-resolution. CoRR (2019)
Thomy Mertzanidou, Nick Calvert, David S. Tuch, Danail Stoyanov, Simon R. Arridge
Tomosynthesis method for depth resolution of beta emitters. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Simon R. Arridge, Peter Maass, Ozan Öktem, Carola-Bibiane Schönlieb
Solving inverse problems using data-driven models. Acta Numer. 28 (2019)
Samuel Powell, Ben T. Cox, Simon R. Arridge
A pseudospectral method for solution of the radiative transport equation. J. Comput. Phys. 384 (2019)
Andreas Hauptmann, Jonas Adler, Simon R. Arridge, Ozan Öktem
Multi-Scale Learned Iterative Reconstruction. CoRR (2019)
Chiara Bulgarelli, Anna Blasi, Simon R. Arridge, Samuel Powell, Carina C. J. M. de Klerk, Victoria Southgate, Sabrina Brigadoi, William D. Penny, Sungho Tak, Antonia F. de C. Hamilton
Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset. NeuroImage 175 (2018)
Yu-Jung Tsai, Alexandre Bousse, Matthias J. Ehrhardt, Charles W. Stearns, Sangtae Ahn, Brian F. Hutton, Simon R. Arridge, Kris Thielemans
Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning. IEEE Trans. Medical Imaging 37 (4) (2018)
Andreas Hauptmann, Ben T. Cox, Felix Lucka, Nam Huynh, Marta M. Betcke, Paul C. Beard, Simon R. Arridge
Approximate k-space models and Deep Learning for fast photoacoustic reconstruction. CoRR (2018)
Andreas Hauptmann, Ben T. Cox, Felix Lucka, Nam Huynh, Marta M. Betcke, Paul C. Beard, Simon R. Arridge
Approximate k-Space Models and Deep Learning for Fast Photoacoustic Reconstruction. MLMIR@MICCAI (2018)
Guang Yang, Simiao Yu, Hao Dong, Gregory G. Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon R. Arridge, Jennifer Keegan, Yike Guo, David N. Firmin
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. IEEE Trans. Medical Imaging 37 (6) (2018)
Felix Lucka, Nam Huynh, Marta M. Betcke, Edward Z. Zhang, Paul C. Beard, Ben T. Cox, Simon R. Arridge
Enhancing Compressed Sensing 4D Photoacoustic Tomography by Simultaneous Motion Estimation. SIAM J. Imaging Sci. 11 (4) (2018)
Andreas Hauptmann, Simon R. Arridge, Felix Lucka, Vivek Muthurangu, Jennifer Anne Steeden
Real-time Cardiovascular MR with Spatio-temporal De-aliasing using Deep Learning - Proof of Concept in Congenital Heart Disease. CoRR (2018)
Andreas Hauptmann, Felix Lucka, Marta M. Betcke, Nam Huynh, Jonas Adler, Ben T. Cox, Paul C. Beard, Sébastien Ourselin, Simon R. Arridge
Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography. IEEE Trans. Medical Imaging 37 (6) (2018)
Simon R. Arridge, Andreas Hauptmann
Networks for Nonlinear Diffusion Problems in Imaging. CoRR (2018)
Pawel J. Markiewicz, Matthias J. Ehrhardt, Kjell Erlandsson, Philip J. Noonan, Anna Barnes, Jonathan M. Schott, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
NiftyPET: a High-throughput Software Platform for High Quantitative Accuracy and Precision PET Imaging and Analysis. Neuroinformatics 16 (1) (2018)
Geoffrey Jones, Neil T. Clancy, Xiaofei Du, Maria Robu, Simon R. Arridge, Daniel S. Elson, Danail Stoyanov
Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition. CoRR (2017)
Geoffrey Jones, Neil T. Clancy, Xiaofei Du, Maria Robu, Simon R. Arridge, Daniel S. Elson, Danail Stoyanov
Fast Estimation of Haemoglobin Concentration in Tissue Via Wavelet Decomposition. MICCAI (2) (2017)
Geoffrey Jones, Neil T. Clancy, Yusuf Helo, Simon R. Arridge, Daniel S. Elson, Danail Stoyanov
Bayesian Estimation of Intrinsic Tissue Oxygenation and Perfusion From RGB Images. IEEE Trans. Medical Imaging 36 (7) (2017)
Andreas Hauptmann, Felix Lucka, Marta M. Betcke, Nam Huynh, Ben T. Cox, Paul C. Beard, Sébastien Ourselin, Simon R. Arridge
Model based learning for accelerated, limited-view 3D photoacoustic tomography. CoRR (2017)
Marta M. Betcke, Ben T. Cox, Nam Huynh, Edward Z. Zhang, Paul C. Beard, Simon R. Arridge
Acoustic Wave Field Reconstruction From Compressed Measurements With Application in Photoacoustic Tomography. IEEE Trans. Computational Imaging 3 (4) (2017)
Jieqing Jiao, Alexandre Bousse, Kris Thielemans, Ninon Burgos, Philip S. J. Weston, Jonathan M. Schott, David Atkinson, Simon R. Arridge, Brian F. Hutton, Pawel Markiewicz, Sébastien Ourselin
Direct Parametric Reconstruction With Joint Motion Estimation/Correction for Dynamic Brain PET Data. IEEE Trans. Medical Imaging 36 (1) (2017)
Nick Calvert, Yusuf Helo, Thomy Mertzanidou, David S. Tuch, Simon R. Arridge, Danail Stoyanov
A simulation study of spectral Čerenkov luminescence imaging for tumour margin estimation. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
Simiao Yu, Hao Dong, Guang Yang, Greg G. Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon R. Arridge, Jennifer Keegan, David N. Firmin, Yike Guo
Deep De-Aliasing for Fast Compressive Sensing MRI. CoRR (2017)
Aki Pulkkinen, Ben T. Cox, Simon R. Arridge, Hwan Goh, Jari P. Kaipio, Tanja Tarvainen
Direct Estimation of Optical Parameters From Photoacoustic Time Series in Quantitative Photoacoustic Tomography. IEEE Trans. Medical Imaging 35 (11) (2016)
Geoffrey Jones, Neil T. Clancy, Simon R. Arridge, Daniel S. Elson, Danail Stoyanov
Inference of Haemoglobin Concentration From Stereo RGB. CoRR (2016)
Geoffrey Jones, Neil T. Clancy, Simon R. Arridge, Daniel S. Elson, Danail Stoyanov
Inference of Tissue Haemoglobin Concentration from Stereo RGB. MIAR (2016)
Alexandre Bousse, Ottavia Bertolli, David Atkinson, Simon R. Arridge, Sébastien Ourselin, Brian F. Hutton, Kris Thielemans
Maximum-Likelihood Joint Image Reconstruction/Motion Estimation in Attenuation-Corrected Respiratory Gated PET/CT Using a Single Attenuation Map. IEEE Trans. Medical Imaging 35 (1) (2016)
Matthias J. Ehrhardt, Pawel Markiewicz, Maria Liljeroth, Anna Barnes, Ville Kolehmainen, John S. Duncan, Luis Pizarro, David Atkinson, Brian F. Hutton, Sébastien Ourselin, Kris Thielemans, Simon R. Arridge
PET Reconstruction With an Anatomical MRI Prior Using Parallel Level Sets. IEEE Trans. Medical Imaging 35 (9) (2016)
Samuel Powell, Simon R. Arridge, Terence S. Leung
Gradient-Based Quantitative Image Reconstruction in Ultrasound-Modulated Optical Tomography: First Harmonic Measurement Type in a Linearised Diffusion Formulation. IEEE Trans. Medical Imaging 35 (2) (2016)
Ninon Burgos, Manuel Jorge Cardoso, Alex F. Mendelson, Jonathan M. Schott, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
Subject-specific Models for the Analysis of Pathological FDG PET Data. MICCAI (2) (2015)
Jieqing Jiao, Pawel Markiewicz, Ninon Burgos, David Atkinson, Brian F. Hutton, Simon R. Arridge, Sébastien Ourselin
Detail-Preserving PET Reconstruction with Sparse Image Representation and Anatomical Priors. IPMI (2015)
Emma Malone, Gustavo Sato dos Santos, David S. Holder, Simon R. Arridge
A Reconstruction-Classification Method for Multifrequency Electrical Impedance Tomography. IEEE Trans. Medical Imaging 34 (7) (2015)
Ossi Lehtikangas, Tanja Tarvainen, A. D. Kim, Simon R. Arridge
Finite element approximation of the radiative transport equation in a medium with piece-wise constant refractive index. J. Comput. Phys. 282 (2015)
Wojciech Smigaj, Timo Betcke, Simon R. Arridge, Joel Phillips, Martin Schweiger
Solving Boundary Integral Problems with BEM++. ACM Trans. Math. Softw. 41 (2) (2015)
Richard Manber, David Atkinson, Kris Thielemans, Brian F. Hutton, Anna Barnes, Celia O'Meara, Simon Wan, Sébastien Ourselin, Simon R. Arridge
Practical PET respiratory motion correction in clinical simultaneous PET/MR. ISBI (2015)
Ninon Burgos, Manuel Jorge Cardoso, Filipa Guerreiro, Catarina Veiga, Marc Modat, Jamie McClelland, Antje-Christin Knopf, Shonit Punwani, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region. MICCAI (2) (2015)
Niccolo Fuin, Stefano Pedemonte, Simon R. Arridge, Sébastien Ourselin, Brian F. Hutton
Efficient Determination of the Uncertainty for the Optimization of SPECT System Design: A Subsampled Fisher Information Matrix. IEEE Trans. Medical Imaging 33 (3) (2014)
Jieqing Jiao, Alexandre Bousse, Kris Thielemans, Pawel Markiewicz, Ninon Burgos, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
Joint Parametric Reconstruction and Motion Correction Framework for Dynamic PET Data. MICCAI (1) (2014)
Matthias Joachim Ehrhardt, Simon R. Arridge
Vector-Valued Image Processing by Parallel Level Sets. IEEE Trans. Image Process. 23 (1) (2014)
Benjamin Trémoulhéac, David Atkinson, Simon R. Arridge
Low-rank and (X-F)-space sparsity via fast composite splitting for accelerated dynamic MR imaging. ISBI (2014)
Sabrina Brigadoi, Paul Aljabar, Maria Kuklisova-Murgasova, Simon R. Arridge, Robert J. Cooper
A 4D neonatal head model for diffuse optical imaging of pre-term to term infants. NeuroImage 100 (2014)
Benjamin Trémoulhéac, Nikolaos Dikaios, David Atkinson, Simon R. Arridge
Dynamic MR Image Reconstruction-Separation From Undersampled (${\bf k}, t$)-Space via Low-Rank Plus Sparse Prior. IEEE Trans. Medical Imaging 33 (8) (2014)
Geoffrey Jones, Neil Clancy, Simon R. Arridge, Daniel S. Elson, Danail Stoyanov
Deblurring Multispectral Laparoscopic Images. IPCAI (2014)
Ninon Burgos, Manuel Jorge Cardoso, Kris Thielemans, Marc Modat, Stefano Pedemonte, John C. Dickson, Anna Barnes, Rebekah Ahmed, Colin J. Mahoney, Jonathan M. Schott, John S. Duncan, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies. IEEE Trans. Medical Imaging 33 (12) (2014)
Emma Malone, Gustavo Sato dos Santos, David S. Holder, Simon R. Arridge
Multifrequency Electrical Impedance Tomography Using Spectral Constraints. IEEE Trans. Medical Imaging 33 (2) (2014)
Nikolaos Dikaios, Simon R. Arridge, Valentin Hamy, Shonit Punwani, David Atkinson
Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhanced MRI. Medical Image Anal. 18 (7) (2014)
Benjamin Trémoulhéac, David Atkinson, Simon R. Arridge
Fast dynamic MRI via nuclear norm minimization and accelerated proximal gradient. ISBI (2013)
Tanja Tarvainen, Aki Pulkkinen, Ben T. Cox, Jari P. Kaipio, Simon R. Arridge
Bayesian Image Reconstruction in Quantitative Photoacoustic Tomography. IEEE Trans. Medical Imaging 32 (12) (2013)
Ninon Burgos, Manuel Jorge Cardoso, Marc Modat, Stefano Pedemonte, John C. Dickson, Anna Barnes, John S. Duncan, David Atkinson, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
Attenuation Correction Synthesis for Hybrid PET-MR Scanners. MICCAI (1) (2013)
Guang Yang, John H. Hipwell, David J. Hawkes, Simon R. Arridge
Numerical Methods for Coupled Reconstruction and Registration in Digital Breast Tomosynthesis. CoRR (2013)
Nicolas Ducros, Andrea Bassi, Cosimo D'Andrea, Gianluca Valentini, Martin Schweiger, Simon R. Arridge
Virtual source patterns for fluorescence tomography. ISBI (2012)
Guang Yang, John H. Hipwell, Christine Tanner, David J. Hawkes, Simon R. Arridge
Joint Registration and Limited-Angle Reconstruction of Digital Breast Tomosynthesis. Digital Mammography / IWDM (2012)
Stefano Pedemonte, Manuel Jorge Cardoso, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
Steady-State Model of the Radio-Pharmaceutical Uptake for MR-PET. MICCAI (1) (2012)
Xiahai Zhuang, Simon R. Arridge, David J. Hawkes, Sébastien Ourselin
A Nonrigid Registration Framework Using Spatially Encoded Mutual Information and Free-Form Deformations. IEEE Trans. Medical Imaging 30 (10) (2011)
Stefano Pedemonte, Alexandre Bousse, Brian F. Hutton, Simon R. Arridge, Sébastien Ourselin
Probabilistic Graphical Model of SPECT/MRI. MLMI (2011)
Daniil Kazantsev, Alexandre Bousse, Stefano Pedemonte, Simon R. Arridge, Brian F. Hutton, Sébastien Ourselin
Edge preserving bowsher prior with nonlocal weighting for 3D spect reconstruction. ISBI (2011)
P. Surya Mohan, Tanja Tarvainen, Martin Schweiger, Aki Pulkkinen, Simon R. Arridge
Variable order spherical harmonic expansion scheme for the radiative transport equation using finite elements. J. Comput. Phys. 230 (19) (2011)
Sangeetha Somayajula, Christos Panagiotou, Anand Rangarajan, Quanzheng Li, Simon R. Arridge, Richard M. Leahy
PET Image Reconstruction Using Information Theoretic Anatomical Priors. IEEE Trans. Medical Imaging 30 (3) (2011)
Stefano Pedemonte, Alexandre Bousse, Brian F. Hutton, Simon R. Arridge, Sébastien Ourselin
4-D Generative Model for PET/MRI Reconstruction. MICCAI (1) (2011)
Josias P. Elisee, Adam P. Gibson, Simon R. Arridge
Combination of Boundary Element Method and Finite Element Method in Diffuse Optical Tomography. IEEE Trans. Biomed. Eng. 57 (11) (2010)
Guang Yang, John H. Hipwell, Matthew J. Clarkson, Christine Tanner, Thomy Mertzanidou, Spencer Gunn, Sébastien Ourselin, David J. Hawkes, Simon R. Arridge
Combined Reconstruction and Registration of Digital Breast Tomosynthesis. Digital Mammography / IWDM (2010)
Maxime Sermesant, Florence Billet, Radomír Chabiniok, Tommaso Mansi, Phani Chinchapatnam, Philippe Moireau, Jean-Marc Peyrat, Kawal S. Rhode, Matthew Ginks, Pier Lambiase, Simon R. Arridge, Hervé Delingette, Michel Sorine, C. Aldo Rinaldi, Dominique Chapelle, Reza Razavi, Nicholas Ayache
Personalised Electromechanical Model of the Heart for the Prediction of the Acute Effects of Cardiac Resynchronisation Therapy. FIMH (2009)
Christos Panagiotou, Sangeetha Somayajula, Adam P. Gibson, Martin Schweiger, Richard M. Leahy, Simon R. Arridge
Diffusion Optical Tomography Using Entropic Priors. ISBI (2009)
Phani Chinchapatnam, Kawal S. Rhode, Matthew Ginks, Prasanth B. Nair, Reza Razavi, Simon R. Arridge, Maxime Sermesant
Voxel Based Adaptive Meshless Method for Cardiac Electrophysiology Simulation. FIMH (2009)
Iason Kastanis, Simon R. Arridge, Alex Stewart, Spencer Gunn, Christer Ullberg, Tom Francke
3D Digital Breast Tomosynthesis Using Total Variation Regularization. Digital Mammography / IWDM (2008)
Xiahai Zhuang, Kawal S. Rhode, Simon R. Arridge, Reza Razavi, Derek L. G. Hill, David J. Hawkes, Sébastien Ourselin
An Atlas-Based Segmentation Propagation Framework Using Locally Affine Registration - Application to Automatic Whole Heart Segmentation. MICCAI (2) (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Simon R. Arridge