Browse by UCL people
Group by: Type | Date
Number of items: 191.
Article
Abascal, JF;
Ducros, N;
Pronina, V;
Rit, S;
Rodesch, PA;
Broussaud, T;
Bussod, S;
... Peyrin, F; + view all
(2021)
Material Decomposition in Spectral CT using deep learning: A Sim2Real transfer approach.
IEEE Access
, 9
pp. 25632-25647.
10.1109/ACCESS.2021.3056150.
|
Alexander, D.C.;
Barker , G.J.;
Arridge, S.R.;
(2002)
Detection and modeling of non-Gaussian apparent diffusion coefficient profiles in human brain data.
Magnetic Resonance in Medicine
, 48
(2)
pp. 331-340.
10.1002/mrm.10209.
|
Arjas, Arttu;
Alles, Erwin J;
Maneas, Efthymios;
Arridge, Simon;
Desjardins, Adrien;
Sillanpaa, Mikko J;
Hauptmann, Andreas;
(2022)
Neural Network Kalman Filtering for 3-D Object Tracking From Linear Array Ultrasound Data.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
, 69
(5)
pp. 1691-1702.
10.1109/tuffc.2022.3162097.
|
Arridge, S;
Fernsel, P;
Hauptmann, A;
(2022)
Joint reconstruction and low-rank decomposition for dynamic inverse problems.
Inverse Problems and Imaging
, 16
(3)
pp. 483-523.
10.3934/ipi.2021059.
|
Arridge, S;
Beard, P;
Betcke, M;
Cox, B;
Huynh, N;
Lucka, F;
Ogunlade, O;
(2016)
Accelerated High-Resolution Photoacoustic Tomography via Compressed Sensing.
Physics in Medicine and Biology
, 61
(24)
pp. 8908-8940.
10.1088/1361-6560/61/24/8908.
|
Arridge, S;
Hauptmann, A;
(2019)
Networks for Nonlinear Diffusion Problems in Imaging.
Journal of Mathematical Imaging and Vision
10.1007/s10851-019-00901-3.
(In press).
|
Arridge, S;
Maass, P;
Öktem, O;
Schönlieb, CB;
(2019)
Solving inverse problems using data-driven models.
Acta Numerica
, 28
pp. 1-174.
10.1017/S0962492919000059.
|
Arridge, SR;
Betcke, MM;
Cox, BT;
Lucka, F;
Treeby, BE;
(2016)
On the Adjoint Operator in Photoacoustic Tomography.
Inverse Problems
, 32
(11)
, Article 115012. 10.1088/0266-5611/32/11/115012.
|
Arridge, SR;
Betcke, MM;
Harhanen, L;
(2014)
Iterated preconditioned LSQR method for inverse problems on unstructured grids.
INVERSE PROBLEMS
, 30
(7)
, Article ARTN 075009. 10.1088/0266-5611/30/7/075009.
|
Arridge, SR;
Ehrhardt, MJ;
Thielemans, K;
(2021)
(An overview of) Synergistic reconstruction for multimodality/multichannel imaging methods.
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
, 379
(2200)
, Article 20200205. 10.1098/rsta.2020.0205.
|
Arridge, SR;
Ito, K;
Jin, B;
Zhang, C;
(2018)
Variational Gaussian approximation for Poisson data.
Inverse Problems
, 34
(2)
, Article 025005. 10.1088/1361-6420/aaa0ab.
|
Austin, T;
Gibson, AP;
Branco, G;
Yusof, RM;
Arridge, SR;
Meek, JH;
Wyatt, JS;
... Hebden, JC; + view all
(2006)
Three dimensional optical imaging of blood volume and oxygenation in the neonatal brain.
Neuroimage
, 31
(4)
1426 - 1433.
10.1016/j.neuroimage.2006.02.038.
|
Ban, HY;
Schweiger, MJ;
Kavuri, VC;
Cochran, JM;
Xie, L;
Busch, D;
Katrašnik, J;
... Yodh, AG; + view all
(2016)
Heterodyne frequency-domain multispectral diffuse optical tomography of breast cancer in the parallel-plane transmission geometry.
Medical Physics
, 43
(7)
pp. 4383-4395.
10.1118/1.4953830.
|
Barbano, Riccardo;
Denker, Alexander;
Chung, Hyungjin;
Roh, Tae Hoon;
Arridge, Simon;
Maass, Peter;
Jin, Bangti;
(2025)
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction.
IEEE Transactions on Medical Imaging
10.1109/tmi.2024.3524797.
(In press).
|
Barbano, Riccardo;
Kereta, Zeljko;
Hauptmann, Andreas;
Arridge, Simon R;
Jin, Bangti;
(2022)
Unsupervised knowledge-transfer for learned image reconstruction.
Inverse Problems
10.1088/1361-6420/ac8a91.
(In press).
|
Bertolli, O;
Arridge, S;
Wollenweber, SD;
Stearns, CW;
Hutton, BF;
Thielemans, K;
(2017)
Sign determination methods for the respiratory signal in data-driven PET gating.
Physics in Medicine & Biology
, 62
(8)
, Article 3204. 10.1088/1361-6560/aa6052.
|
Betcke, MM;
Cox, BT;
Huynh, N;
Zhang, EZ;
Beard, PC;
Arridge, SR;
(2017)
Acoustic Wave Field Reconstruction From Compressed Measurements With Application in Photoacoustic Tomography.
IEEE Transactions on Computational Imaging
, 3
(4)
pp. 710-721.
10.1109/TCI.2017.2706029.
|
Bousse, A;
Bertolli, O;
Atkinson, D;
Arridge, S;
Ourselin, S;
Hutton, B;
Thielemans, K;
(2015)
Maximum-Likelihood Joint Image Reconstruction/Motion Estimation in Attenuation-Corrected Respiratory Gated PET/CT using a Single Attenuation Map.
IEEE Trans Med Imaging
, 35
(1)
pp. 217-228.
10.1109/TMI.2015.2464156.
|
Bousse, A;
Bertolli, O;
Atkinson, D;
Arridge, S;
Ourselin, S;
Hutton, BF;
Thielemans, K;
(2016)
Maximum-likelihood joint image reconstruction and motion estimation with misaligned attenuation in TOF-PET/CT.
Physics in Medicine and Biology
, 61
(3)
L11-L19.
10.1088/0031-9155/61/3/L11.
|
Bousse, A;
Manber, R;
Holman, BF;
Atkinson, D;
Arridge, S;
Ourselin, S;
Hutton, BF;
(2017)
Evaluation of a direct motion estimation/correction method in respiratory-gated PET/MRI with motion-adjusted attenuation.
Med Phys
10.1002/mp.12253.
(In press).
|
Brusaferri, L;
Bousse, A;
Emond, EC;
Brown, R;
Tsai, Y-J;
Atkinson, D;
Ourselin, S;
... Thielemans, K; + view all
(2020)
Joint Activity and Attenuation Reconstruction from Multiple Energy Window Data with Photopeak Scatter Re-Estimation in non-TOF 3D PET.
IEEE Transactions on Radiation and Plasma Medical Sciences
10.1109/trpms.2020.2978449.
(In press).
|
Brusaferri, L;
Emond, EC;
Bousse, A;
Twyman, R;
Whitehead, AC;
Atkinson, D;
Ourselin, S;
... Thielemans, K; + view all
(2021)
Detection Efficiency Modelling and Joint Activity and Attenuation Reconstruction in non-TOF 3D PET from Multiple-Energy Window Data.
IEEE Transactions on Radiation and Plasma Medical Sciences
p. 1.
10.1109/trpms.2021.3064239.
(In press).
|
Bulgarelli, C;
Blasi, A;
Arridge, S;
Powell, S;
de Klerk, C;
Southgate, V;
Brigadoi, S;
... Hamilton, A; + view all
(2018)
Dynamic causal modelling on infant fNIRS data: A validation study on a simultaneously recorded fNIRS-fMRI dataset.
NeuroImage
, 175
pp. 413-424.
10.1016/j.neuroimage.2018.04.022.
|
Burgos, N;
Cardoso, MJ;
Thielemans, K;
Modat, M;
Dickson, J;
Schott, JM;
Atkinson, D;
... Ourselin, S; + view all
(2015)
Multi-contrast attenuation map synthesis for PET/MR scanners: assessment on FDG and Florbetapir PET tracers.
European Journal of Nuclear Medicine and Molecular Imaging
, 42
(9)
pp. 1447-1458.
10.1007/s00259-015-3082-x.
|
Burgos, N;
Cardoso, MJ;
Thielemans, K;
Modat, M;
Pedemonte, S;
Dickson, J;
Barnes, A;
... Ourselin, S; + view all
(2014)
Attenuation correction synthesis for hybrid PET-MR scanners: application to brain studies.
IEEE Trans Med Imaging
, 33
(12)
2332 - 2341.
10.1109/TMI.2014.2340135.
|
Chaulet, N;
Arridge, S;
Betcke, T;
Holder, D;
(2014)
The Factorization method for three dimensional Electrical Impedance Tomography.
Inverse Problems
, 30
(4)
, Article 045005. 10.1088/0266-5611/30/4/045005.
|
Cochran, JM;
Busch, DR;
Lin, L;
Minkoff, DL;
Schweiger, M;
Arridge, S;
Yodh, AG;
(2019)
Hybrid time-domain and continuous-wave diffuse optical tomography instrument with concurrent, clinical magnetic resonance imaging for breast cancer imaging.
Journal of Biomedical Optics
, 24
(5)
, Article 051409. 10.1117/1.JBO.24.5.051409.
|
Correia, T;
Arridge, S;
(2016)
Patch-based anisotropic diffusion scheme for fluorescence diffuse optical tomography-part 1: technical principles.
Physics in Medicine & Biology
, 61
(4)
pp. 1439-1451.
10.1088/0031-9155/61/4/1439.
|
Correia, T;
Koch, M;
Ale, A;
Ntziachristos, V;
Arridge, S;
(2016)
Patch-based anisotropic diffusion scheme for fluorescence diffuse optical tomography-part 2: image reconstruction.
Physics in Medicine & Biology
, 61
(4)
pp. 1452-1475.
10.1088/0031-9155/61/4/1452.
|
Correia, T;
Lockwood, N;
Kumar, S;
Yin, J;
Ramel, MC;
Andrews, N;
Katan, M;
... Arridge, S; + view all
(2015)
Accelerated Optical Projection Tomography Applied to In Vivo Imaging of Zebrafish.
PLoS One
, 10
(8)
, Article e0136213. 10.1371/journal.pone.0136213.
|
Davis, SPX;
Wisniewski, L;
Kumar, S;
Correia, T;
Arridge, SR;
Frankel, P;
McGinty, J;
(2018)
Slice-illuminated optical projection tomography.
Optics Letters
, 43
(22)
pp. 5555-5558.
10.1364/OL.43.005555.
|
Di Sciacca, G;
Maffeis, G;
Farina, A;
Dalla Mora, A;
Pifferi, A;
Taroni, P;
Arridge, S;
(2022)
Evaluation of a pipeline for simulation, reconstruction, and classification in ultrasound-aided diffuse optical tomography of breast tumors.
Journal of biomedical optics
, 27
(3)
, Article 036003. 10.1117/1.JBO.27.3.036003.
|
Di Sciacca, G;
Di Sieno, L;
Farina, A;
Lanka, P;
Venturini, E;
Panizza, P;
Dalla Mora, A;
... Arridge, SR; + view all
(2021)
Enhanced diffuse optical tomographic reconstruction using concurrent ultrasound information.
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
, 379
(2204)
, Article 20200195. 10.1098/rsta.2020.0195.
|
Dikaios, N;
Arridge, S;
Hamy, V;
Punwani, S;
Atkinson, D;
(2014)
Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhanced MRI.
Medical Image Analysis
, 18
(7)
989 - 1001.
10.1016/j.media.2014.05.001.
|
Ehrhardt, MJ;
Arridge, SR;
(2014)
Vector-Valued Image Processing by Parallel Level Sets.
IEEE TRANSACTIONS ON IMAGE PROCESSING
, 23
(1)
9 - 18.
10.1109/TIP.2013.2277775.
|
Ehrhardt, MJ;
Markiewicz, P;
Liljeroth, M;
Barnes, A;
Kolehmainen, V;
Duncan, JS;
Pizarro, L;
... Arridge, SR; + view all
(2016)
PET Reconstruction with an Anatomical MRI Prior using Parallel Level Sets.
IEEE Transactions on Medical Imaging
, 35
(9)
pp. 2189-2199.
10.1109/TMI.2016.2549601.
|
Ehrhardt, MJ;
Thielemans, K;
Pizarro, L;
Atkinson, D;
Ourselin, S;
Hutton, BF;
Arridge, SR;
(2015)
Joint reconstruction of PET-MRI by exploiting structural similarity.
INVERSE PROBLEMS
, 31
(1)
, Article ARTN 015001. 10.1088/0266-5611/31/1/015001.
|
Erlandsson, K;
Dickson, J;
Arridge, S;
Atkinson, D;
Ourselin, S;
Hutton, BF;
(2016)
MR Imaging-Guided Partial Volume Correction of PET Data in PET/MR Imaging.
PET Clinics
, 11
(2)
pp. 161-177.
10.1016/j.cpet.2015.09.002.
|
Erlandsson, K;
Liljeroth, M;
Atkinson, D;
Arridge, S;
Ourselin, S;
Hutton, BF;
(2016)
Improved Parameter-Estimation With MRI-Constrained PET Kinetic Modeling: A Simulation Study.
IEEE Transactions on Nuclear Science
, 63
(5)
pp. 2464-2470.
10.1109/TNS.2015.2507444.
|
Farina, A;
Betcke, M;
di Sieno, L;
Bassi, A;
Ducros, N;
Pifferi, A;
Valentini, G;
... D'Andrea, C; + view all
(2017)
Multiple-view diffuse optical tomography system based on time-domain compressive measurements.
Optics Letters
, 42
(14)
pp. 2822-2825.
10.1364/OL.42.002822.
|
Farina, A;
Candeo, A;
Dalla Mora, A;
Bassi, A;
Lussana, R;
Villa, F;
Valentini, G;
... D'Andrea, C; + view all
(2019)
Novel time-resolved camera based on compressed sensing.
Optics Express
, 27
(22)
pp. 31889-31899.
10.1364/OE.27.031889.
|
Farina, A;
Tagliabue, S;
Di Sieno, L;
Martinenghi, E;
Durduran, T;
Arridge, S;
Martelli, F;
... Dalla Mora, A; + view all
(2017)
Time-Domain Functional Diffuse Optical Tomography System Based on Fiber-Free Silicon Photomultipliers.
Applied Sciences
, 7
(12)
, Article 1235. 10.3390/app7121235.
|
Ferocino, E;
Pifferi, A;
Arridge, S;
Martelli, F;
Taroni, P;
Farina, A;
(2019)
Multi Simulation Platform for Time Domain Diffuse Optical Tomography: An Application to a Compact Hand-Held Reflectance Probe.
Applied Science
, 9
(14)
, Article 2849. 10.3390/app9142849.
|
Fuin, N;
Pedemonte, S;
Arridge, S;
Ourselin, S;
Hutton, BF;
(2014)
Efficient Determination of the Uncertainty for the Optimization of SPECT System Design: A Subsampled Fisher Information Matrix.
IEEE Trans Med Imaging
, 33
(3)
618 - 635.
10.1109/TMI.2013.2292805.
|
Grigorian, G;
George, SV;
Lishak, S;
Shipley, RJ;
Arridge, S;
(2024)
A hybrid neural ordinary differential equation model of the cardiovascular system.
Journal of the Royal Society Interface
, 21
(212)
, Article 20230710. 10.1098/rsif.2023.0710.
|
Grigorian, Gevik;
George, Sandip;
Arridge, Simon;
(2025)
Learning governing equations of unobserved states in dynamical systems.
Physica D: Nonlinear Phenomena
, 472
, Article 134499. 10.1016/j.physd.2024.134499.
|
Hänninen, N;
Pulkkinen, A;
Arridge, S;
Tarvainen, T;
(2022)
Adaptive stochastic Gauss-Newton method with optical Monte Carlo for quantitative photoacoustic tomography.
Journal of Biomedical Optics
, 27
(8)
, Article 083013. 10.1117/1.JBO.27.8.083013.
|
Hauptmann, Andreas;
Arridge, Simon;
Lucka, Felix;
Muthurangu, Vivek;
Steeden, Jennifer A;
(2019)
Real-time Cardiovascular MR with Spatio-temporal De-aliasing using Deep Learning - Proof of Concept in Congenital Heart Disease.
Magnetic Resonance in Medicine
, 81
(2)
pp. 1143-1156.
10.1002/mrm.27480.
|
Hauptmann, A;
Adler, J;
Arridge, SR;
Öktem, O;
(2020)
Multi-Scale Learned Iterative Reconstruction.
IEEE Transactions on Computational Imaging
, 6
pp. 843-856.
10.1109/TCI.2020.2990299.
|
Hauptmann, A;
Lucka, F;
Betcke, M;
Huynh, N;
Adler, J;
Cox, B;
Beard, P;
... Arridge, S; + view all
(2018)
Model based learning for accelerated, limited-view 3D photoacoustic tomography.
IEEE Transactions on Medical Imaging
, 37
(6)
pp. 1382-1393.
10.1109/TMI.2018.2820382.
|
Hochuli, R;
Powell, S;
Arridge, S;
Cox, B;
(2016)
Quantitative photoacoustic tomography using forward and adjoint Monte Carlo models of radiance.
Journal of Biomedical Optics
, 21
(12)
, Article 126004. 10.1117/1.JBO.21.12.126004.
|
Hutton, BF;
Thomas, BA;
Erlandsson, K;
Bousse, A;
Reilhac-Laborde, A;
Kazantsev, D;
Pedemonte, S;
... Ourselin, S; + view all
(2013)
What approach to brain partial volume correction is best for PET/MRI?
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
, 702
29 - 33.
10.1016/j.nima.2012.07.059.
|
Huynh, N;
Lucka, F;
Zhang, E;
Betcke, M;
Arridge, SR;
Beard, PC;
Cox, BT;
(2019)
Single-pixel camera photoacoustic tomography.
Journal of Biomedical Optics
, 24
(12)
pp. 1-6.
10.1117/1.JBO.24.12.121907.
|
Jaubert, O;
Steeden, J;
Montalt-Tordera, J;
Arridge, S;
Kowalik, GT;
Muthurangu, V;
(2021)
Deep artifact suppression for spiral real-time phase contrast cardiac magnetic resonance imaging in congenital heart disease.
Magnetic Resonance Imaging
, 83
pp. 125-132.
10.1016/j.mri.2021.08.005.
|
Jaubert, Olivier;
Montalt-Tordera, Javier;
Brown, James;
Knight, Daniel;
Arridge, Simon;
Steeden, Jennifer;
Muthurangu, Vivek;
(2022)
FReSCO: Flow Reconstruction and Segmentation for low-latency Cardiac Output monitoring using deep artifact suppression and segmentation.
Magnetic Resonance in Medicine
10.1002/mrm.29374.
(In press).
|
Jaubert, Olivier;
Pascale, Michele;
Montalt-Tordera, Javier;
Akesson, Julius;
Virsinskaite, Ruta;
Knight, Daniel;
Arridge, Simon;
... Muthurangu, Vivek; + view all
(2024)
Training deep learning based dynamic MR image reconstruction using open-source natural videos.
Scientific Reports
, 14
(1)
, Article 11774. 10.1038/s41598-024-62294-7.
|
Jaubert, O;
Montalt-Tordera, J;
Knight, D;
Coghlan, GJ;
Arridge, S;
Steeden, JA;
Muthurangu, V;
(2021)
Real-time deep artifact suppression using recurrent U-Nets for low-latency cardiac MRI.
Magnetic Resonance in Medicine
10.1002/mrm.28834.
(In press).
|
Jha, AK;
Zhu, Y;
Arridge, S;
Wong, DF;
Rahmim, A;
(2018)
Incorporating reflection boundary conditions in the Neumann series radiative transport equation: application to photon propagation and reconstruction in diffuse optical imaging.
Biomedical Optics Express
, 9
(4)
pp. 1389-1407.
10.1364/BOE.9.001389.
|
Jiao, J;
Boss, A;
Thielemans, K;
Burgos, N;
Weston, P;
Markiewicz, P;
Schott, J;
... Ourselin, S; + view all
(2016)
Direct parametric reconstruction with joint motion estimation/correction for dynamic brain PET data.
IEEE Transactions on Medical Imaging
, 36
(1)
10.1109/TMI.2016.2594150.
|
Jiao, J;
Markiewicz, Pawel;
Burgos, N;
Atkinson, D;
Hutton, B;
Arridge, S;
Ourselin, S;
(2015)
Detail-Preserving PET Reconstruction with Sparse Image Representation and Anatomical Priors.
Information Processing in Medical Imaging
, 24
pp. 540-551.
|
Jin, B;
Arridge, S;
Zhang, C;
(2019)
Expectation propagation for Poisson data.
Inverse Problems
, 35
(8)
, Article 085006. 10.1088/1361-6420/ab15a3.
|
Jones, G;
Clancy, N;
Helo, Y;
Arridge, S;
Elson, D;
Stoyanov, D;
(2017)
Bayesian Estimation of Intrinsic Tissue Oxygenation and Perfusion from RGB Images.
IEEE Transactions on Medical Imaging
10.1109/TMI.2017.2665627.
(In press).
|
Kakkar, LS;
Usman, M;
Arridge, S;
Kirkham, A;
Atkinson, D;
(2020)
Characterization of B₀-field fluctuations in prostate MRI.
Physics in Medicine & Biology
10.1088/1361-6560/abbc7f.
(In press).
|
Kaupinmäki, Santeri;
Cox, Ben;
Arridge, Simon;
(2023)
Phase-insensitive versus phase-sensitive ultrasound absorption tomography in the frequency domain.
Applied Mathematics in Science and Engineering
, 31
(1)
, Article 2252571. 10.1080/27690911.2023.2252571.
|
Kaupinmäki, S;
Cox, B;
Arridge, SR;
Baker, C;
Sinden, D;
Zeqiri, B;
(2020)
Pyroelectric ultrasound sensor model: directional response.
Measurement Science and Technology
10.1088/1361-6501/abc866.
(In press).
|
Kereta, Z;
Twyman, R;
Arridge, SR;
Thielemans, K;
Jin, B;
(2021)
Stochastic EM methods with variance reduction for penalised PET reconstructions.
Inverse Problems
, 37
(11)
, Article 115006. 10.1088/1361-6420/ac2d74.
|
Khalil, Lucinda;
George, Sandip V;
Brown, Katherine L;
Ray, Samiran;
Arridge, Simon;
(2025)
Transitions in intensive care: Investigating critical slowing down post extubation.
PLOS ONE
, 20
(1)
, Article e0317211. 10.1371/journal.pone.0317211.
|
Kolehmainen, V;
Ehrhardt, MJ;
Arridge, SR;
(2019)
Incorporating structural prior information and sparsity into EIT using parallel level sets.
Inverse Problems and Imaging
, 13
(2)
pp. 285-307.
10.3934/ipi.2019015.
|
Kumar, S;
Lockwood, N;
Ramel, MC;
Correia, T;
Ellis, M;
Alexandrov, Y;
Andrews, N;
... French, P; + view all
(2016)
Quantitative in vivo optical tomography of cancer progression & vasculature development in adult zebrafish.
Oncotarget
, 7
(28)
pp. 43939-43948.
10.18632/oncotarget.9756.
|
Lehtikangas, O;
Tarvainen, T;
Kim, AD;
Arridge, SR;
(2015)
Finite element approximation of the radiative transport equation in a medium with piece-wise constant refractive index.
Journal of Computational Physics
, 282
pp. 345-359.
10.1016/j.jcp.2014.11.025.
|
Lila, E;
Arridge, S;
Aston, JAD;
(2020)
Representation and reconstruction of covariance operators in linear inverse problems.
Inverse Problems
10.1088/1361-6420/ab8713.
(In press).
|
Lillington, J;
Brusaferri, L;
Kläser, K;
Shmueli, K;
Neji, R;
Hutton, BF;
Fraioli, F;
... Atkinson, D; + view all
(2020)
PET/MRI Attenuation Estimation in the Lung: A Review of Past, Present, and Potential Techniques.
Medical Physics
, 47
(2)
pp. 790-811.
10.1002/mp.13943.
|
Lishak, Sam;
Grigorian, Gevik;
George, Sandip V;
Ovenden, Nicholas C;
Shipley, Rebecca J;
Arridge, Simon;
(2023)
A variable heart rate multi-compartmental coupled model of the cardiovascular and respiratory systems.
Journal of the Royal Society Interface
, 20
(207)
, Article 20230339. 10.1098/rsif.2023.0339.
|
Lucka, F;
Nam, H;
Betcke, M;
Zhang, E;
Beards, P;
Cox, B;
Arridge, S;
(2018)
Enhancing Compressed Sensing 4D Photoacoustic Tomography by Simultaneous Motion Estimation.
SIAM Journal on Imaging Sciences
, 11
(4)
pp. 2224-2253.
10.1137/18M1170066.
|
Lunz, S;
Hauptmann, A;
Tarvainen, T;
Schönlieb, C-B;
Arridge, S;
(2021)
On Learned Operator Correction in Inverse Problems.
SIAM Journal on Imaging Sciences
, 14
(1)
pp. 92-127.
10.1137/20m1338460.
|
Macdonald, C;
Arridge, S;
Powell, S;
(2020)
Efficient inversion strategies for estimating optical properties with Monte Carlo radiative transport models.
Journal of Biomedical Optics
, 25
(8)
, Article 085002. 10.1117/1.JBO.25.8.085002.
|
Maffeis, G;
Di Sieno, L;
Dalla Mora, A;
Pifferi, A;
Tosi, A;
Conca, E;
Giudice, A;
... Taroni, P; + view all
(2024)
The SOLUS instrument: Optical characterization of the first hand-held probe for multimodal imaging (ultrasound and multi-wavelength time-resolved diffuse optical tomography).
Optics and Lasers in Engineering
, 176
, Article 108075. 10.1016/j.optlaseng.2024.108075.
(In press).
|
Malone, E;
Dos Santos, GS;
Holder, D;
Arridge, S;
(2015)
A Reconstruction-Classification Method for Multifrequency Electrical Impedance Tomography.
IEEE Transactions on Medical Imaging
, 34
(7)
pp. 1486-1497.
|
Malone, E;
Jehl, M;
Arridge, S;
Betcke, T;
Holder, D;
(2014)
Stroke type differentiation using spectrally constrained multifrequency EIT: evaluation of feasibility in a realistic head model.
Physiological Measurement
, 35
(6)
1051 - 1066.
10.1088/0967-3334/35/6/1051.
|
Malone, E;
Powell, S;
Cox, BT;
Arridge, S;
(2015)
Reconstruction-classification method for quantitative photoacoustic tomography.
Journal of Biomedical Optics
, 20
(12)
, Article 126004. 10.1117/1.JBO.20.12.126004.
|
Malone, E;
Sato Dos Santos, G;
Holder, D;
Arridge, S;
(2014)
Multifrequency electrical impedance tomography using spectral constraints.
IEEE Trans Med Imaging
, 33
(2)
340 - 350.
10.1109/TMI.2013.2284966.
|
Manber, R;
Thielemans, K;
Hutton, BF;
Wan, S;
Fraioli, F;
Barnes, A;
Ourselin, S;
... Atkinson, D; + view all
(2018)
Clinical Impact of Respiratory Motion Correction in Simultaneous PET/MR with a Joint PET/MR Predictive Motion Model.
The Journal of Nuclear Medicine
, 59
(9)
pp. 1467-1473.
10.2967/jnumed.117.191460.
|
Manber, R;
Thielemans, K;
Hutton, BF;
Wan, S;
McClelland, J;
Barnes, A;
Arridge, S;
... Atkinson, D; + view all
(2016)
Joint PET-MR respiratory motion models for clinical PET motion correction.
Physics in Medicine and Biology
, 61
(17)
pp. 6515-6530.
10.1088/0031-9155/61/17/6515.
|
Maneas, E;
Hauptmann, A;
Alles, EJ;
Xia, W;
Vercauteren, T;
Ourselin, S;
David, AL;
... Desjardins, AE; + view all
(2021)
Deep Learning for Instrumented Ultrasonic Tracking: From synthetic training data to in vivo application.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
10.1109/tuffc.2021.3126530.
(In press).
|
Markiewicz, PJ;
Ehrhardt, MJ;
Atkinson, D;
Arridge, SR;
Hutton, BF;
Ourselin, S;
(2016)
Uniform acquisition modelling across PET imaging systems: unified scatter modelling.
(In press).
|
Markiewicz, PJ;
Ehrhardt, MJ;
Erlandsson, K;
Noonan, PJ;
Barnes, A;
Schott, JM;
Atkinson, D;
... Ourselin, S; + view all
(2017)
NiftyPET: A high-throughput software platform for high quantitative accuracy and precision PET imaging and analysis.
Neuroinformatics
10.1007/s12021-017-9352-y.
(In press).
|
Markiewicz, PJ;
Thielemans, K;
Schott, JM;
Atkinson, D;
Arridge, S;
Hutton, B;
Ourselin, S;
(2016)
Rapid processing of PET list-mode data for efficient uncertainty estimation and data analysis.
Physics in Medicine and Biology
, 61
(13)
N322-N336.
10.1088/0031-9155/61/13/N322.
|
McClelland, JR;
Modat, M;
Arridge, S;
Grimes, H;
D'Souza, D;
Thomas, D;
O'Connell, D;
... Hawkes, D; + view all
(2017)
A generalized framework unifying image registration and respiratory motion models and incorporating image reconstruction, for partial image data or full images.
Physics in Medicine and Biology
, 62
(11)
, Article 4273. 10.1088/1361-6560/aa6070.
|
Mozumder, M;
Hauptmann, A;
Nissilä, I;
Arridge, SR;
Tarvainen, T;
(2021)
A model-based iterative learning approach for diffuse optical tomography.
IEEE Transactions on Medical Imaging
10.1109/TMI.2021.3136461.
(In press).
|
Mozumder, M;
Tarvainen, T;
Seppanen, A;
Nissila, I;
Arridge, SR;
Kolehmainen, V;
(2015)
Nonlinear approach to difference imaging in diffuse optical tomography.
Journal of Biomedical Optics
, 20
(10)
, Article 105001. 10.1117/1.JBO.20.10.105001.
|
Pan, B;
Arridge, SR;
Lucka, F;
Cox, BT;
Huynh, N;
Beard, PC;
Zhang, EZ;
(2021)
Photoacoustic Reconstruction Using Sparsity in Curvelet Frame: Image Versus Data Domain.
IEEE Transactions on Computational Imaging
, 7
pp. 879-893.
10.1109/TCI.2021.3103606.
|
Papadimitriou, K;
Dempsey, LA;
Hebden, JC;
Arridge, SR;
Powell, S;
(2018)
A spread spectrum approach to time-domain near-infrared diffuse optical imaging using inexpensive optical transceiver modules.
Biomedical Optics Express
, 9
(6)
pp. 2648-2663.
10.1364/BOE.9.002648.
|
Papadimitriou, K;
Rosas, EEV;
Zhang, E;
Cooper, RJ;
Hebden, JC;
Arridge, SR;
Powell, S;
(2020)
Dual wavelength spread-spectrum time-resolved diffuse optical instrument for the measurement of human brain functional responses.
Biomedical Optics Express
, 11
(7)
pp. 3477-3490.
10.1364/BOE.393586.
|
Powell, S;
Arridge, SR;
Leung, TS;
(2016)
Gradient-based quantitative image reconstruction in ultrasound-modulated optical tomography: first harmonic measurement type in a linearised diffusion formulation.
IEEE Transactions on Medical Imaging
, 35
(2)
pp. 456-467.
10.1109/TMI.2015.2478742.
|
Powell, S;
Cox, BT;
Arridge, SR;
(2019)
A pseudospectral method for solution of the radiative transport equation.
Journal of Computational Physics
, 384
pp. 376-382.
10.1016/j.jcp.2019.01.024.
|
Pulkkinen, A;
Cox, BT;
Arridge, SR;
Goh, H;
Kaipio, JP;
Tarvainen, T;
(2016)
Direct Estimation of Optical Parameters From Photoacoustic Time Series in Quantitative Photoacoustic Tomography.
Transactions on Medical Imaging
, 35
(11)
pp. 2497-2508.
10.1109/TMI.2016.2581211.
|
Pulkkinen, A;
Cox, BT;
Arridge, SR;
Kaipio, JP;
Tarvainen, T;
(2015)
Quantitative photoacoustic tomography using illuminations from a single direction.
Journal of Biomedical Optics
, 20
(3)
, Article 036015. 10.1117/1.JBO.20.3.036015.
|
Sari, H;
Erlandsson, K;
Law, I;
Larsson, HB;
Ourselin, S;
Arridge, S;
Atkinson, D;
(2017)
Estimation of an image derived input function with MR-defined carotid arteries in FDG-PET human studies using a novel partial volume correction method.
Journal of Cerebral Blood Flow & Metabolism
, 37
(4)
pp. 1398-1409.
10.1177/0271678X16656197.
|
Sari, H;
Erlandsson, K;
Marner, L;
Law, I;
Larsson, HBW;
Thielemans, K;
Ourselin, S;
... Hutton, BF; + view all
(2018)
Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with 11C-SB201745.
EJNMMI Res
, 8
(1)
, Article 58. 10.1186/s13550-018-0412-6.
|
Sari, H;
Erlandsson, K;
Thielemans, K;
Atkinson, D;
Arridge, S;
Ourselin, S;
Hutton, B;
(2014)
Incorporation of MRI-AIF information for improved kinetic modelling of dynamic PET data.
EJNMMI Phys
, 1
(S1)
, Article A43. 10.1186/2197-7364-1-S1-A43.
|
Sari, H;
Erlandsson, K;
Thielemans, K;
Atkinson, D;
Ourselin, S;
Arridge, S;
Hutton, BF;
(2015)
Incorporation of MRI-AIF information for improved kinetic modeling of dynamic PET data.
IEEE Transactions on Nuclear Science
, 62
(3)
pp. 612-618.
10.1109/TNS.2015.2426952.
|
Schweiger, M;
Arridge, S;
(2017)
Basis mapping methods for forward and inverse problems.
International Journal for Numerical Methods in Engineering
, 109
(1)
pp. 3-28.
10.1002/nme.5271.
|
Schweiger, M;
Arridge, S;
(2014)
The Toast plus plus software suite for forward and inverse modeling in optical tomography.
Journal of Biomedical Optics
, 19
(4)
, Article 040801. 10.1117/1.JBO.19.4.040801.
|
Schweiger, M;
Zhukov, L;
Arridge, SR;
Johnson, CR;
(1999)
Optical tomography using the SCIRun problem solving environment: Preliminary results for three-dimensional geometries and parallel processing.
Optics express
, 4
(8)
263 - 269.
10.1364/OE.4.000263.
|
Singh, Imraj RD;
Denker, Alexander;
Barbano, Riccardo;
Kereta, Željko;
Jin, Bangti;
Thielemans, Kris;
Maass, Peter;
(2024)
Score-Based Generative Models for PET Image Reconstruction.
Machine Learning for Biomedical Imaging
, 2
pp. 547-585.
10.59275/j.melba.2024-5d51.
|
Smigaj, W;
Arridge, S;
Betcke, T;
Phillips, J;
Schweiger, M;
(2015)
Solving Boundary Integral Problems with BEM++.
ACM Transactions on Mathematical Software
, 41
(2)
, Article 6. 10.1145/2590830.
|
Stanziola, A;
Arridge, SR;
Cox, BT;
Treeby, BE;
(2023)
j-Wave: An open-source differentiable wave simulator.
SoftwareX
, 22
, Article 101338. 10.1016/j.softx.2023.101338.
|
Stanziola, A;
Arridge, SR;
Cox, BT;
Treeby, BE;
(2021)
A Helmholtz equation solver using unsupervised learning: Application to transcranial ultrasound.
Journal of Computational Physics
, 441
, Article 110430. 10.1016/j.jcp.2021.110430.
|
Stanziola, Antonio;
Arridge, Simon;
Cox, Ben T;
Treeby, Bradley E;
(2023)
A learned Born series for highly-scattering media.
JASA Express Letters
, 3
(5)
, Article 052401. 10.1121/10.0017937.
|
Steeden, JA;
Quail, M;
Gotschy, A;
Mortensen, KH;
Hauptmann, A;
Arridge, S;
Jones, R;
(2020)
Rapid whole-heart CMR with single volume super-resolution.
Journal of Cardiovascular Magnetic Resonance
, 22
(1)
, Article 56. 10.1186/s12968-020-00651-x.
|
Tick, J;
Pulkkinen, A;
Lucka, F;
Ellwood, R;
Cox, BT;
Kaipio, JP;
Arridge, SR;
(2018)
Three dimensional photoacoustic tomography in Bayesian framework.
The Journal of the Acoustical Society of America
, 144
(4)
pp. 2061-2071.
10.1121/1.5057109.
|
Tsai, Y-J;
Bousse, A;
Arridge, S;
Stearns, CW;
Hutton, BF;
Thielemans, K;
(2021)
Penalized PET/CT Reconstruction Algorithms With Automatic Realignment for Anatomical Priors.
IEEE Transactions on Radiation and Plasma Medical Sciences
, 5
(3)
pp. 362-372.
10.1109/trpms.2020.3025540.
|
Tsai, Y-J;
Schramm, G;
Ahn, S;
Bousse, A;
Arridge, S;
Nuyts, J;
Hutton, BF;
... Thielemans, K; + view all
(2019)
Benefits of Using a Spatially-variant Penalty Strength with Anatomical Priors in PET Reconstruction.
IEEE Transactions on Medical Imaging
10.1109/TMI.2019.2913889.
(In press).
|
Tsai, YJ;
Bousse, A;
Ehrhardt, MJ;
Stearns, CW;
Ahn, S;
Hutton, B;
Arridge, S;
(2017)
Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning.
IEEE Transactions on Medical Imaging
, 37
(4)
pp. 1000-1010.
10.1109/TMI.2017.2786865.
|
Usman, M;
Kakkar, L;
Matakos, A;
KIRKHAM, A;
Arridge, S;
Atkinson, D;
(2020)
Joint B0 and image estimation integrated with model based reconstruction for field map update and distortion correction in prostate diffusion MRI.
Magnetic Resonance Imaging
, 65
pp. 90-99.
10.1016/j.mri.2019.09.008.
|
Usman, M;
Kakkar, LS;
Kirkham, APS;
Arridge, SR;
Atkinson, D;
(2019)
Model‐based reconstruction framework for correction of signal pile‐up and geometric distortions in prostate diffusion MRI.
Magnetic Resonance in Medicine
, 81
(3)
pp. 1973-1992.
10.1002/mrm.27547.
|
van 't Wout, E;
Gélat, P;
Betcke, T;
Arridge, S;
(2015)
A fast boundary element method for the scattering analysis of high-intensity focused ultrasound.
Journal of the Acoustical Society of America
, 138
(5)
pp. 2726-2737.
10.1121/1.4932166.
|
Yang, G;
Yu, S;
Dong, H;
Slabaugh, G;
Dragotti, PL;
Ye, X;
Liu, F;
... Firmin, D; + view all
(2017)
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction.
IEEE Transactions on Medical Imaging
10.1109/TMI.2017.2785879.
(In press).
|
Zacharopoulos, A;
Schweiger, M;
Kolehmainen, V;
Arridge, S;
(2009)
3D shape based reconstruction of experimental data in Diffuse Optical Tomography.
Optics express
, 17
(21)
18940 - 18956.
10.1364/OE.17.018940.
|
Zacharopoulos, AD;
Svenmarker, P;
Axelsson, J;
Schweiger, M;
Arridge, SR;
Andersson-Engels, S;
(2009)
A matrix-free algorithm for multiple wavelength fluorescence tomography.
Optics express
, 17
(5)
3025 - 3035.
10.1364/OE.17.003025.
|
Book chapter
Jin, B;
Barbano, R;
Arridge, S;
Tanno, R;
(2022)
Uncertainty quantification in medical image synthesis.
In: Burgos, N and Svoboda, D, (eds.)
Biomedical Image Synthesis Simulation: Methods and Applications.
Elsevier: Amsterdam, Netherlands.
|
Proceedings paper
(2018)
Spatially-variant Strength for Anatomical Priors in PET Reconstruction.
In:
Proceedings of the 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
IEEE: New York, USA.
|
Abascal, J;
Ducros, N;
Pronina, V;
Bussod, S;
Hauptmannz, A;
Arridge, S;
Douek, P;
(2020)
Material Decomposition Problem in Spectral CT: A Transfer Deep Learning Approach.
In:
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops).
IEEE: Iowa City, IA, USA.
|
Barbano, R;
Zhang, C;
Arridge, SR;
Jin, B;
(2020)
Quantifying Model Uncertainty in Inverse Problems via Bayesian Deep Gradient Descent.
In:
Proceedings of the 25th International Conference on Pattern Recognition (ICPR).
(pp. pp. 1392-1399).
IEEE: Milan, Italy.
|
Barbano, R;
Kereta, Z;
Zhang, C;
Hauptmann, A;
Arridge, SR;
Jin, B;
(2020)
Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction.
In:
Proceedings of the NeurIPS 2020 Workshop on Deep Learning and Inverse Problems.
(pp. pp. 1-13).
NeurIPS
|
Bertolli, O;
Arridge, S;
Stearns, CW;
Wollenweber, SD;
Hutton, BF;
Thielemans, K;
(2017)
Improvement of the Sign Determination Method for Data-Driven respiratory signal in TOF-PET.
In:
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings.
IEEE
|
Bertolli, O;
Arridge, S;
Stearns, CW;
Wollenweber, SD;
Hutton, BF;
Thielemans, K;
(2016)
Sign determination methods for the respiratory signal in data-driven PET gating.
In:
2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
(pp. pp. 1411-1413).
Institute of Electrical and Electronics Engineers (IEEE)
|
Bertolli, O;
Arridge, S;
Stearns, CW;
Wollenweher, SD;
Hutton, BF;
Thielemans, K;
(2017)
Data Driven Respiratory Signal Detection in PET Taking Advantage of Time-of-Flight Data.
In:
Proceedings of the 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD).
IEEE: Strasbourg, France.
|
Bertolli, O;
Cuplov, V;
Arridge, S;
Stearns, CW;
Wollenweber, SD;
Hutton, BF;
Thielemans, K;
(2017)
Detection of Lung Density Variations With Principal Component Analysis in PET.
In:
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings.
IEEE
|
Bewick, JAJ;
Munro, PRT;
Arridge, SR;
Guggenheim, JA;
(2023)
Simulating optical memory effects and the scanning of foci using wavefront shaping in tissue-like scattering media.
In:
Proceedings Volume 12632, Optical Coherence Imaging Techniques and Imaging in Scattering Media V; 126321H (2023).
SPIE: Munich, Germany.
|
Bewick, JAJ;
Munro, PRT;
Arridge, SR;
Guggenheim, JA;
(2023)
A computational framework for investigating the feasibility of focusing light in biological tissue via photoacoustic wavefront shaping.
In:
Photons Plus Ultrasound: Imaging and Sensing 2023.
SPIE: San Francisco, CA, US.
|
Brusaferri, L;
Bousse, A;
Efthimiou, N;
Emond, E;
Atkinson, D;
Ourselin, S;
Hutton, BF;
... Thielemans, K; + view all
(2018)
Potential benefits of incorporating energy information when estimating attenuation from PET data.
In:
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
IEEE Xplore: New York, NY, USA.
|
Brusaferri, L;
Bousse, A;
Tsai, YJ;
Atkinson, D;
Ourselin, S;
Hutton, BF;
Arridge, S;
(2019)
Maximum-likelihood estimation of emission and attenuation images in 3D PET from multiple energy window measurements.
In: Rozenfeld, A and Engels, R, (eds.)
Proceedings of the 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
IEEE Xplore: New York, NY, USA.
|
Brusaferri, L;
Emond, EC;
Atkinson, D;
Ourselin, S;
Hutton, BF;
Arridge, S;
Thielemans, K;
(2020)
Joint reconstruction of activity and attenuation in non-TOF PET using a synergistic prior to enforce structural similarities.
In:
Proceedings of the 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
IEEE: Manchester, UK.
|
Burgos, N;
Cardoso, MJ;
Guerreiro, F;
Veiga, C;
Modat, M;
McClelland, J;
Knopf, A-C;
... Ourselin, S; + view all
(2015)
Robust CT Synthesis for Radiotherapy Planning: Application to the Head and Neck Region.
In: Navab, N and Hornegger, J and Wells, WM and Frangi, AF, (eds.)
Proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI).
(pp. pp. 476-484).
Springer, Mach: Munich, Germany.
|
Burgos, N;
Cardoso, MJ;
Mendelson, AF;
Schott, JM;
Atkinson, D;
Arridge, SR;
Hutton, BF;
(2015)
Subject-specific Models for the Analysis of Pathological FDG PET Data.
In: Navab, N and Hornegger, J and Wells, WM and Frangi, AF, (eds.)
Proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI).
(pp. pp. 651-658).
Springer, Cham: Munich, Germany.
|
Burgos, N;
Thielemans, K;
Cardoso, MJ;
Markiewicz, P;
Jiao, J;
Dickson, J;
Duncan, JS;
... Ourselin, S; + view all
(2014)
Effect of scatter correction when comparing attenuation maps: Application to brain PET/MR.
In:
Proceedings of the 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
IEEE: Seattle, WA, USA.
|
Bussod, S;
Abascal, JFPJ;
Arridge, SR;
Hauptmann, A;
Chappard, C;
Ducros, N;
Peyrin, F;
(2020)
Convolutional Neural Network for Material Decomposition in Spectral CT Scans.
In:
2020 28th European Signal Processing Conference (EUSIPCO).
(pp. pp. 1259-1263).
IEEE: Amsterdam, Netherlands.
|
Calvert, N;
Helo, Y;
Mertzanidou, T;
Tuch, DS;
Arridge, S;
Stoyanov, D;
(2017)
A Simulation Study of Spectral Cerenkov Luminescence Imaging for Tumour Margin Estimation.
In: Krol, A and Gimi, B, (eds.)
Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging.
Society of Photo-Optical Instrumentation Engineers (SPIE): Orlando, FL, USA.
|
|
Denker, A;
Hertrich, J;
Kereta, Z;
Cipiccia, S;
Erin, E;
Arridge, S;
(2025)
Plug-and-Play Half-Quadratic Splitting for Ptychography.
In: Bubba, TA and Gaburro, R and Gazzola, S and Papafitsoros, K and Pereyra, M and Schönlieb, CB, (eds.)
Scale Space and Variational Methods in Computer Vision. SSVM 2025.
(pp. pp. 269-281).
Springer Nature: Cham, Switzerland.
|
Di Sciacca, G;
Ferocino, E;
Farina, A;
Pifferi, A;
Taroni, P;
Arridge, S;
(2019)
Fitting a spectral model for component analysis in diffuse optical tomography.
In:
Progress in Biomedical Optics and Imaging - Proceedings of SPIE.
SPIE
|
Farina, A;
Betcke, M;
Bassi, A;
Valentini, G;
Arridge, S;
D'Andrea, C;
(2019)
An adaptive scheme for diffuse-optical tomography based on combined structured-light illumination and single-pixel camera detection.
In: Dehghani, H and Wabnitz, H, (eds.)
Diffuse Optical Spectroscopy and Imaging VII.
SPIE: Munich, Germany.
|
Farina, A;
Betcke, M;
Bassi, A;
Valentini, G;
Arridge, S;
D'Andrea, C;
(2018)
Time-resolved diffuse optical tomography system based on adaptive structured light illumination and compressive sensing detection.
In: Fournier, C and Georges, MP and Popescu, G, (eds.)
Unconventional Optical Imaging.
(pp. 106770D).
Society of Photo-Optical Instrumentation Engineers (SPIE)
|
Farina, A;
Betcke, M;
Di Sieno, L;
Bassi, A;
Ducros, N;
Pifferi, A;
Valentini, G;
... D 'Andrea, C; + view all
(2017)
Diffuse Optical Tomography based on time-resolved compressive sensing.
In: Tromberg, BJ and Yodh, AG and SevickMuraca, EM and Alfano, RR, (eds.)
Proceedings of SPIE Volume 10059.
(pp. 100590I-1-100590I-6).
SPIE
|
Farina, A;
Betcke, M;
Ducros, N;
di Sieno, L;
Bassi, A;
Pifferi, A;
Valentini, G;
... D'Andrea, C; + view all
(2017)
Multiple-view time-resolved diffuse optical tomography based on structured illumination and compressive detection.
In: Dehghani, H and Wabnitz, H, (eds.)
Diffuse Optical Spectroscopy and Imaging VI.
(pp. 1041203:1-1041203:3).
Society of Photo-Optical Instrumentation Engineers (SPIE)
|
Ferocino, E;
Di Sciacca, G;
Di Sieno, L;
Dalla Mora, A;
Pifferi, A;
Arridge, S;
Martelli, F;
... Farina, A; + view all
(2019)
Multi-wavelength time domain diffuse optical tomography for breast cancer: Initial results on silicone phantoms.
In:
Optical Tomography and Spectroscopy of Tissue XIII.
SPIE BIOS: San Francisco, CA, United States.
|
Hänninen, N;
Pulkkinen, A;
Arridge, S;
Tarvainen, T;
(2023)
Image reconstruction in quantitative photoacoustic tomography using adaptive optical Monte Carlo.
In:
Photons Plus Ultrasound: Imaging and Sensing.
SPIE: San Francisco, CA, US.
|
Hauptmann, A;
Cox, B;
Lucka, F;
Huynh, N;
Betcke, M;
Beard, P;
Arridge, S;
(2018)
Approximate k-space models and deep learning for fast photoacoustic reconstruction.
In:
MLMIR 2018: Machine Learning for Medical Image Reconstruction.
(pp. pp. 103-111).
Springer: Cham, Switzerland.
|
Hochuli, R;
Powell, S;
Arridge, S;
Cox, B;
(2015)
Forward and Adjoint Radiance Monte Carlo Models for Quantitative Photoacoustic Imaging.
In:
Photons Plus Ultrasound: Imaging and Sensing 2015.
SPIE
|
Huynh, N;
Lucka, F;
Zhang, E;
Betcke, M;
Arridge, S;
Beard, P;
Cox, B;
(2017)
Sub-sampled Fabry-Perot photoacoustic scanner for fast 3D imaging.
In: Oraevsky, AA and Wang, LV, (eds.)
Photons Plus Ultrasound: Imaging and Sensing 2017: Proceedings.
(pp. 100641Y-1-100641Y-5).
Society of Photo-Optical Instrumentation Engineers (SPIE)
|
Huynh, N;
Zhang, E;
Betcke, M;
Arridge, S;
Beard, P;
Cox, B;
(2015)
A real-time ultrasonic field mapping system using a Fabry Perot single pixel camera for 3D photoacoustic imaging.
In: Oraevsky, AA and Wang, LV, (eds.)
Proc. SPIE 9323, Photons Plus Ultrasound: Imaging and Sensing 2015.
SPIE
|
Jones, G;
Clancy, NT;
Arridge, S;
Elson, DS;
Stoyanov, D;
(2016)
Inference of tissue haemoglobin concentration from Stereo RGB.
In: Zheng, G and Liao, H and Jannin, P and Cattin, P and Lee, SL, (eds.)
Medical Imaging and Augmented Reality. MIAR 2016.
(pp. pp. 50-58).
Springer: Cham.
|
Jones, G;
Clancy, NT;
Du, X;
Robu, M;
Arridge, S;
Elson, DS;
Stoyanov, D;
(2017)
Fast estimation of haemoglobin concentration in tissue via wavelet decomposition.
In: Descoteaux, M and Maier-Hein, L and Franz, A and Jannin, P and Collins, D and Duchesne, S, (eds.)
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017.
(pp. pp. 100-108).
Springer: Cham, Switzerland.
|
Macdonald, CM;
Arridge, SR;
Munro, PRT;
(2019)
Solving the inverse problem in OCT using full-wave adjoint models.
In:
2019 IEEE Photonics Conference (IPC).
IEEE: San Antonio, TX, USA.
|
Maffeis, G;
Pifferi, A;
Dalla Mora, A;
Di Sieno, L;
Cubeddu, R;
Tosi, A;
Conca, E;
... Taroni, P; + view all
(2023)
SOLUS: A Smart OpticaL and UltraSound device for the diagnostics of breast cancer.
In:
Il Nuovo Cimento C - Colloquia on Physics.
Società Italiana di Fisica: Bologna, Italy.
|
Maffeis, G;
Pifferi, A;
Dalla Mora, A;
Di Sieno, L;
Cubeddu, R;
Tosi, A;
Conca, E;
... Taroni, P; + view all
(2023)
Initial examples of the SOLUS multimodal potential.
In: Contini, Davide and Hoshi, Yoko and O'Sullivan, Thomas D, (eds.)
Proceedings Volume 12628, Diffuse Optical Spectroscopy and Imaging IX.
(pp. p. 1262807).
SPIE: Munich, Germany.
|
Maffeis, G;
Pifferi, A;
Dalla Mora, A;
Di Sieno, L;
Cubeddu, R;
Tosi, A;
Conca, E;
... Taroni, Paola; + view all
(2023)
Breast lesion classification based on absorption and composition parameters: a look at SOLUS first outcomes.
In: Fantini, Sergio and Taroni, Paola, (eds.)
Optical Tomography and Spectroscopy of Tissue XV.
SPIE BIOS: San Francisco, California, United States.
|
Malone, E;
Cox, B;
Arridge, S;
(2016)
Multispectral reconstruction methods for quantitative photoacoustic tomography.
In: Oraevsky, AA and Wang, LV, (eds.)
Photons Plus Ultrasound: Imaging and Sensing 2016.
SPIE: San Francisco, CA, USA.
|
Mertzanidou, T;
Calvert, N;
Tuch, DS;
Stoyanov, D;
Arridge, SR;
(2019)
Tomosynthesis method for depth resolution of beta emitters.
In:
Proceedings of SPIE: Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging.
SPIE
|
Papadimitriou, K;
Hebden, J;
Arridge, S;
Powell, S;
(2019)
A dual-wavelength spread spectrum-based spectroscopic system For time-domain near-infrared diffuse optical imaging.
In: Fantini, S and Tromberg, BJ and Sevick-Muraca, E and Taroni, P, (eds.)
Proceedings of SPIE. Optical Tomography and Spectroscopy of Tissue XIII.
SPIE: San Francisco (CA), USA.
|
Pifferi, A;
Dalla Mora, A;
Di Sieno, L;
Maffeis, G;
Tosi, A;
Conca, E;
Sesta, V;
... Taroni, P; + view all
(2021)
SOLUS: a novel multimodal approach to ultrasound and diffuse optics imaging of breast cancer.
In:
Proceedings of SPIE, vol 11920, Diffuse Optical Spectroscopy and Imaging VIII, 1192003.
(pp. p. 1192003).
SPIE: Online.
|
Pifferi, A;
Dalla Mora, A;
Di Sieno, L;
Ferocino, E;
Tosi, A;
Conca, E;
Sesta, V;
... Taroni, P; + view all
(2021)
SOLUS: An innovative multimodal imaging system to improve breast cancer diagnosis through diffuse optics and ultrasounds.
In:
Proceedings of Optical Tomography and Spectroscopy of Tissue XIV.
(pp. 116390C).
SPIE: Online Only.
|
Porter, S;
Deidda, D;
Arridge, S;
Thielemans, K;
(2024)
EFFECT of PRIOR SMOOTHING on the CONVERGENCE of PROXIMAL ALGORITHMS for PET and SPECT RECONSTRUCTION.
In:
Proceedings of the 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
IEEE: Italy.
|
Powell, S;
Hochuli, R;
Arridge, S;
(2017)
Radiance Monte-Carlo for application of the radiative transport equation in the inverse problem of diffuse optical tomography.
In:
Proceedings of Optical Tomography and Spectroscopy of Tissue XII.
SPIE
|
Pulkkinen, A;
Cox, BT;
Arridge, SR;
Kaipio, JP;
Tarvainen, T;
(2017)
Estimation and uncertainty quantification of optical properties directly from the photoacoustic time series.
In:
Photons Plus Ultrasound: Imaging and Sensing 2017.
(pp. 100643N-1).
SPIE
|
Pulkkinen, A;
Cox, BT;
Arridge, SR;
Kaipio, JP;
Tarvainen, T;
(2016)
Bayesian parameter estimation in spectral quantitative photoacoustic tomography.
In: Oraevsky, AA and Wang, LV, (eds.)
Photons Plus Ultrasound: Imaging and Sensing 2016.
SPIE: San Francisco, CA, USA.
|
Suhonen, M;
Lucka, F;
Pulkkinen, A;
Arridge, S;
Cox, B;
Tarvainen, T;
(2025)
Joint reconstruction of multiple initial pressures and the speed of sound in photoacoustic tomography.
In: Oraevsky, Alexander A and Wang, Lihong V, (eds.)
Progress in Biomedical Optics and Imaging - Proceedings of SPIE.
(pp. p. 118).
SPIE: San Francisco, California, United States.
|
Tarvainen, T;
Pulkkinen, A;
Cox, BT;
Arridge, SR;
(2017)
Utilising the radiative transfer equation in quantitative photoacoustic tomography.
In:
Photons Plus Ultrasound: Imaging and Sensing 2017.
(pp. 100643E-1-100643E-8).
SPIE
|
Tarvainen, T;
Pulkkinen, A;
Cox, BT;
Kaipio, JP;
Arridge, SR;
(2016)
Image reconstruction with noise and error modelling in quantitative photoacoustic tomography.
In: Oraevsky, AA and Wang, LV, (eds.)
Photons Plus Ultrasound: Imaging and Sensing 2016.
SPIE: San Francisco, CA, USA.
|
Thielemans, K;
Arridge, S;
(2016)
Adaptive adjustment of the number of subsets during iterative image reconstruction.
In:
2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
IEEE
|
Tick, J;
Pulkkinen, A;
Lucka, F;
Ellwood, R;
Cox, BT;
Arridge, SR;
Tarvainen, T;
(2018)
Photoacoustic image reconstruction in Bayesian framework.
In: Oraevsky,, Alexander A. and Wang, Lihong V., (eds.)
Proceedings Volume 10494, Photons Plus Ultrasound: Imaging and Sensing 2018; 1049450 (2018).
SPIE: San Francisco, California, United States.
|
Tremoulheac, B;
Atkinson, D;
Arridge, SR;
(2012)
Motion and contrast enhancement separation model reconstruction from partial measurements in dynamic MRI.
In:
Proceedings of the MICCAI Workshop on Sparsity Techniques in Medical Imaging.
|
Tsai, YJ;
Bousse, A;
Ahn, S;
Stearns, CW;
Arridge, S;
Hutton, BF;
Thielemans, K;
(2019)
Algorithms for Solving Misalignment Issues in Penalized PET/CT Reconstruction Using Anatomical Priors.
In:
Proceedings of the 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC).
IEEE: Sydney, Australia.
|
Tsai, YJ;
Bousse, A;
Ehrhardt, MJ;
Hutton, BF;
Arridge, S;
Thielemans, K;
(2016)
Performance evaluation of MAP algorithms with different penalties, object geometries and noise levels.
In:
2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
IEEE
|
Tsai, YJ;
Bousse, A;
Stearns, CW;
Ahn, S;
Hutton, BF;
Arridge, S;
Thielemans, K;
(2017)
Performance improvement and validation of a new MAP reconstruction algorithm.
In:
2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD 2016).
(pp. pp. 290-292).
IEEE
|
Twyman, R;
Brusaferri, L;
Emond, EC;
Leek, F;
Arridge, S;
Hutton, BF;
Cuplov, V;
(2021)
A Demonstration of STIR-GATE-Connection.
In:
Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) 2021.
(pp. pp. 1-2).
Institute of Electrical and Electronics Engineers (IEEE)
|
Twyman, R;
Arridge, S;
Hutton, BF;
Emond, EC;
Brusaferri, L;
Ahn, S;
Thielemans, K;
(2020)
Iterative PET Image Reconstruction using Adaptive Adjustment of Subset Size and Random Subset Sampling.
In:
Proceedings of the 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
IEEE: Manchester, UK.
|
Usman, M;
Kakkar, L;
Shmueli, K;
Arridge, S;
Atkinson, D;
(2018)
An integrated model-based framework for the correction of signal pile-up and translational offsets in prostate diffusion MRI.
In:
Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018.
International Society for Magnetic Resonance in Medicine (ISMRM): Paris, France.
|
Usman, M;
Matakos, A;
Kakkar, L;
Arridge, S;
Atkinson, D;
(2019)
Model based joint B0 and image estimation framework for dynamic field mapping and signal pile-up correction in prostate diffusion MRI.
In:
Proceedings of the ISMRM 27th Annual Meeting & Exhibition.
International Society for Magnetic Resonance in Medicine (ISMRM): Montréal, Canada.
|
Vyas, KN;
Grootendorst, M;
Mertzanidou, T;
MacHoll, S;
Stoyanov, D;
Arridge, SR;
Tuch, DS;
(2018)
Flexible scintillator autoradiography for tumor margin inspection using 18F-FDG.
In:
(Proceedings) SPIE BiOS, 2018 - Molecular-Guided Surgery: Molecules, Devices, and Applications IV.
SPIE
|
Yang, G;
Hipwell, JH;
Clarkson, MJ;
Tanner, C;
Mertzanidou, T;
Gunn, S;
Ourselin, S;
... Arridge, SR; + view all
(2010)
Combined Reconstruction and Registration of Digital Breast Tomosynthesis: Sequential Method versus Iterative Method.
In: Bhalerao, AH and Rajpoot, NM, (eds.)
Proceedings of Medical Image Understanding and Analysis 2010.
(pp. P27-1-P27-5).
Department of Computer Science, University of Warwick: Warwick, UK.
|
Yang, G;
Hipwell, JH;
Clarkson, MJ;
Tanner, C;
Mertzanidou, T;
Gunn, S;
Ourselin, S;
... Arridge, SR; + view all
(2010)
Combined Reconstruction and Registration of Digital Breast Tomosynthesis.
In: Marti, J and Oliver, A and Freixenet, J and Marti, R, (eds.)
Proceedings of the International Workshop on Digital Mammography: 10th International Workshop, IWDM 2010, Girona, Catalonia, Spain, June 16-18, 2010.
(pp. 760 - 768).
Springer: Germany: Berlin.
|
Yang, G;
Hipwell, JH;
Hawkes, DJ;
Arridge, SR;
(2012)
A Nonlinear Least Squares Method for Solving the Joint Reconstruction and Registration Problem in Digital Breast Tomosynthesis.
In: Xie, JXH, (ed.)
Proceedings of Medical Image Understanding and Analysis 2012.
(pp. 87 - 92).
Department of Computer Science, Swansea University: Swansea, UK.
|
Yang, G;
Hipwell, JH;
Hawkes, DJ;
Arridge, SR;
(2011)
Unconstrained Simultaneous Scheme to Fully Couple Reconstruction and Registration for Digital Breast Tomosynthesis: A Feasible Study.
In: Schnabel, J and Tanner, C and Karssemeijer, N and Nielsen, M and Giger, M and Hawkes, C, (eds.)
Proceedings of the Workshop on Breast Image Analysis: In conjunction with the 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011).
(pp. 25 - 32).
Department of Computer Science (DIKU), University of Copenhagen: Copenhagen, Denmark.
|
Yang, G;
Hipwell, JH;
Tanner, C;
Hawkes, DJ;
Arridge, SR;
(2012)
Joint Registration and Limited-Angle Reconstruction of Digital Breast Tomosynthesis.
In: Maidment, ADA and Bakic, PR and Gavenonis, S, (eds.)
Breast Imaging: 11th International Workshop, IWDM 2012, Philadelphia, PA, USA, July 8-11, 2012: Proceedings.
(pp. 713 - 720).
Springer-Verlag: Berlin / Heidelberg, Germany.
|
Conference item
Atkinson, D;
Usman, M;
Kakkar, LS;
Arridge, SR;
(2018)
Geometry in MR Reconstruction.
Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, Paris, France.
|
Cochran, JM;
Busch, DR;
Ban, HY;
Kavuri, VC;
Schweiger, MJ;
Arridge, SR;
Yodh, AG;
(2017)
Multi-modal diffuse optical techniques for breast cancer neoadjuvant chemotherapy monitoring (Conference Presentation).
Presented at: Multimodal Biomedical Imaging XII, San Francisco, California, United States.
|
Fonseca, M;
Malone, E;
Lucka, F;
Ellwood, R;
An, L;
Arridge, S;
Beard, P;
(2017)
Three-dimensional photoacoustic imaging and inversion for accurate quantification of chromophore distributions.
Presented at: Conference on Photons Plus Ultrasound - Imaging and Sensing, San Francisco, CA.
|
Thesis
Lockwood, NJ;
(2016)
The Global Imaging of Physiological and Pathophysiological Angiogenesis in live zebrafish using Optical Projection Tomography.
Doctoral thesis , UCL (University College London).
|
Tremoulheac, BR;
(2015)
Low-rank and sparse reconstruction in dynamic magnetic resonance imaging via proximal splitting methods.
Doctoral thesis , UCL (University College London).
|
Yang, G;
(2012)
Numerical Approaches for Solving the Combined Reconstruction and Registration of Digital Breast Tomosynthesis.
Doctoral thesis , UCL (University College London).
|