Browse by UCL people
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Number of items: 177.
Article
Andrews, KA;
Frost, C;
Modat, M;
Cardoso, MJ;
Rowe, CC;
Villemagne, V;
Fox, NC;
... Schott, JM; + view all
(2015)
Acceleration of hippocampal atrophy rates in asymptomatic amyloidosis.
Neurobiology of Aging
, 39
pp. 99-107.
10.1016/j.neurobiolaging.2015.10.013.
|
Andrews, KA;
Modat, M;
Macdonald, KE;
Yeatman, T;
Cardoso, MJ;
Leung, KK;
Barnes, J;
... Lifestyle Flagship Study of Ageing; + view all
(2013)
Atrophy rates in asymptomatic amyloidosis: implications for Alzheimer prevention trials.
PLoS One
, 8
(3)
, Article e58816. 10.1371/journal.pone.0058816.
|
Antonelli, M;
Cardoso, MJ;
Johnston, EW;
Appayya, MB;
Presles, B;
Modat, M;
Punwani, S;
(2019)
GAS: A genetic atlas selection strategy in multi-atlas segmentation framework.
Medical Image Analysis
, 52
pp. 97-108.
10.1016/j.media.2018.11.007.
|
Bennett, OF;
Kanber, B;
Hoskote, C;
Cardoso, MJ;
Ourselin, S;
Duncan, JS;
Winston, GP;
(2019)
Learning to see the invisible: A data-driven approach to finding the underlying patterns of abnormality in visually normal brain magnetic resonance images in patients with temporal lobe epilepsy.
Epilepsia
10.1111/epi.16380.
(In press).
|
Blaiotta, C;
Cardoso, MJ;
Ashburner, J;
(2016)
Variational inference for medical image segmentation.
Computer Vision and Image Understanding
, 151
pp. 14-28.
10.1016/j.cviu.2016.04.004.
|
Blaiotta, C;
Freund, P;
Cardoso, MJ;
Ashburner, J;
(2017)
Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction.
Neuroimage
, 166
pp. 117-134.
10.1016/j.neuroimage.2017.10.060.
|
Bocchetta, M;
Cardoso, MJ;
Cash, DM;
Ourselin, S;
Warren, JD;
Rohrer, JD;
(2016)
Patterns of regional cerebellar atrophy in genetic frontotemporal dementia.
NeuroImage: Clinical
, 11
pp. 287-290.
10.1016/j.nicl.2016.02.008.
|
Bocchetta, M;
Gordon, E;
Cardoso, MJ;
Modat, M;
Ourselin, S;
Warren, J;
Rohrer, J;
(2018)
Thalamic atrophy in frontotemporal dementia - not just a C9orf72 problem.
NeuroImage: Clinical
, 18
pp. 675-681.
10.1016/j.nicl.2018.02.019.
|
Bocchetta, M;
Gordon, E;
Marshall, CR;
Slattery, CF;
Cardoso, MJ;
Cash, DM;
Espak, M;
... Rohrer, JD; + view all
(2016)
The habenula: an under-recognised area of importance in frontotemporal dementia?
[Letter].
Journal of Neurology, Neurosurgery and Psychiatry
, 87
(8)
pp. 910-912.
10.1136/jnnp-2015-312067.
|
Bocchetta, M;
Iglesias, JE;
Scelsi, M;
Cash, D;
Cardoso, MJ;
Modat, M;
Altmann, A;
... Rohrer, JD; + view all
(2018)
Hippocampal subfield volumetry: differential pattern of atrophy in different forms of genetic frontotemporal dementia.
Journal of Alzheimer's Disease
, 64
(2)
pp. 497-504.
10.3233/JAD-180195.
|
Bonkhoff, AK;
Xu, T;
Nelson, A;
Gray, R;
Jha, A;
Cardoso, J;
Ourselin, S;
... Nachev, P; + view all
(2021)
Reclassifying stroke lesion anatomy.
Cortex
10.1016/j.cortex.2021.09.007.
(In press).
|
Brugulat-Serrat, A;
Salvadó, G;
Sudre, CH;
Grau-Rivera, O;
Suárez-Calvet, M;
Falcon, C;
Sánchez-Benavides, G;
... ALFA Study; + view all
(2020)
Patterns of white matter hyperintensities associated with cognition in middle-aged cognitively healthy individuals.
Brain Imaging and Behavior
, 14
pp. 2012-2023.
10.1007/s11682-019-00151-2.
|
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.
|
Burgos, N;
Guerreiro, F;
McClelland, J;
Presles, B;
Modat, M;
Nill, S;
Dearnaley, D;
... Cardoso, MJ; + view all
(2017)
Iterative framework for the joint segmentation and CT synthesis of MR images: application to MRI-only radiotherapy treatment planning.
Physics in Medicine and Biology
, 62
(11)
, Article 4237. 10.1088/1361-6560/aa66bf.
|
Canas, LS;
Sudre, CH;
De Vita, E;
Nihat, A;
Mok, TH;
Slattery, CF;
Paterson, RW;
... Modat, M; + view all
(2019)
Prion disease diagnosis using subject-specific imaging biomarkers within a multi-kernel Gaussian process.
NeuroImage: Clinical
, Article 102051. 10.1016/j.nicl.2019.102051.
(In press).
|
Carass, A;
Roy, S;
Jog, A;
Cuzzocreo, JL;
Magrath, E;
Gherman, A;
Button, J;
... Pham, DL; + view all
(2017)
Longitudinal multiple sclerosis lesion segmentation: resource & challenge.
NeuroImage
10.1016/j.neuroimage.2016.12.064.
(In press).
|
Cardoso, MJ;
Modat, M;
Wolz, R;
Melbourne, A;
Cash, D;
Rueckert, D;
Ourselin, S;
(2015)
Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion.
IEEE Transactions on Medical Imaging
, 34
(9)
pp. 1976-1988.
10.1109/TMI.2015.2418298.
|
Cash, DM;
Frost, C;
Iheme, LO;
Ünay, D;
Kandemir, M;
Fripp, J;
Salvado, O;
... Ourselin, S; + view all
(2015)
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge.
Neuroimage
, 123
pp. 149-164.
10.1016/j.neuroimage.2015.07.087.
|
Chan, D;
Binks, S;
Nicholas, JM;
Frost, C;
Cardoso, MJ;
Ourselin, S;
Wilkie, D;
... Chataway, J; + view all
(2017)
Effect of high-dose simvastatin on cognitive, neuropsychiatric, and health-related quality-of-life measures in secondary progressive multiple sclerosis: secondary analyses from the MS-STAT randomised, placebo-controlled trial.
The Lancet Neurology
, 16
(8)
pp. 591-600.
10.1016/S1474-4422(17)30113-8.
|
Chung, KK;
Altmann, D;
Barkhof, F;
Miszkiel, K;
Brex, PA;
O'Riordan, J;
Ebner, M;
... Chard, DT; + view all
(2020)
A thirty year clinical and MRI observational study of multiple sclerosis and clinically isolated syndromes.
Annals of Neurology
, 87
(1)
pp. 63-74.
10.1002/ana.25637.
|
Clarkson, MJ;
Cardoso, MJ;
Ridgway, GR;
Modat, M;
Leung, KK;
Rohrer, JD;
Fox, NC;
(2011)
A comparison of voxel and surface based cortical thickness estimation methods.
Neuroimage
, 57
(3)
pp. 856-865.
10.1016/j.neuroimage.2011.05.053.
|
Convery, RS;
Neason, MR;
Cash, DM;
Cardoso, MJ;
Modat, M;
Ourselin, S;
Warren, JD;
... Bocchetta, M; + view all
(2020)
Basal forebrain atrophy in frontotemporal dementia.
NeuroImage: Clinical
, 26
, Article 102210. 10.1016/j.nicl.2020.102210.
|
Cordeiro, MF;
Normando, EM;
Cardoso, MJ;
Miodragovic, S;
Jeylani, S;
Davis, BM;
Guo, L;
... Bloom, PA; + view all
(2017)
Real-time imaging of single neuronal cell apoptosis in patients with glaucoma.
Brain
, 140
(6)
pp. 1757-1767.
10.1093/brain/awx088.
|
Dingwall, N;
Chalk, A;
Martin, TI;
Scott, CJ;
Semedo, C;
Le, Q;
Orasanu, E;
... Ourselin, S; + view all
(2016)
T2 relaxometry in the extremely-preterm brain at adolescence.
Magnetic Resonance Imaging
, 34
(4)
pp. 508-514.
10.1016/j.mri.2015.12.020.
|
Dorent, R;
Booth, T;
Li, W;
Sudre, CH;
Kafiabadi, S;
Cardoso, J;
Ourselin, S;
(2021)
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets.
Medical Image Analysis
, 67
, Article 101862. 10.1016/j.media.2020.101862.
|
Drew, DA;
Nguyen, LH;
Steves, CJ;
Menni, C;
Freydin, M;
Varsavsky, T;
Sudre, CH;
... Chan, AT; + view all
(2020)
Rapid implementation of mobile technology for real-time epidemiology of COVID-19.
Science
, 368
(6497)
pp. 1362-1367.
10.1126/science.abc0473.
|
Eaton-Rosen, Z;
Melbourne, A;
Orasanu, E;
Cardoso, MJ;
Modat, M;
Bainbridge, A;
Kendall, GS;
... Ourselin, S; + view all
(2015)
Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI.
Neuroimage
, 111
580 - 589.
10.1016/j.neuroimage.2015.02.010.
|
Ebner, M;
Chung, K;
Prados Carrasco, F;
Cardoso, MJ;
Chard, DT;
Vercauteren, T;
Ourselin, S;
(2017)
Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging.
NeuroImage
10.1016/j.neuroimage.2017.09.056.
(In press).
|
Eshaghi, A;
Kievit, RA;
Prados Carrasco, F;
Sudre, C;
Nicholas, J;
Cardoso, MJ;
Chan, D;
... Ciccarelli, O; + view all
(2019)
Applying causal models to explore the mechanism of action of simvastatin in progressive multiple sclerosis.
Proceedings of the National Academy of Sciences of The United States of America (PNAS)
, 116
(22)
10.1073/pnas.1818978116.
|
Eshaghi, A;
Marinescu, RV;
Young, AL;
Firth, NC;
Prados Carrasco, F;
Cardoso, MJ;
Tur Gomez, C;
... MAGNIMS Study Group, .; + view all
(2018)
Progression of regional grey matter atrophy in multiple sclerosis.
Brain
, 141
(6)
pp. 1665-1677.
10.1093/brain/awy088.
|
Eshaghi, A;
Prados Carrasco, F;
Brownlee, W;
Altmann, DR;
Tur Gomez, C;
Cardoso, MJ;
de Angelis, F;
... Ciccarelli, O; + view all
(2018)
Deep grey matter volume loss drives disability worsening in multiple sclerosis.
Annals of Neurology
, 83
(2)
pp. 210-222.
10.1002/ana.25145.
|
Fiford, C;
Sudre, C;
Pemberton, H;
Walsh, P;
Manning, E;
Malone, I;
Nicholas, J;
... Barnes, J; + view all
(2020)
Automated white matter hyperintensity segmentation using Bayesian Model Selection: assessment and correlations with cognitive change.
NeuroInformatics
10.1007/s12021-019-09439-6.
(In press).
|
Fiford, CM;
Manning, EN;
Bartlett, JW;
Cash, DM;
Malone, IB;
Ridgway, GR;
Lehmann, M;
... Alzheimer's Disease Neuroimaging Initiative; + view all
(2017)
White matter hyperintensities are associated with disproportionate progressive hippocampal atrophy.
Hippocampus
, 27
(3)
pp. 249-262.
10.1002/hipo.22690.
|
Fiford, CM;
Ridgway, GR;
Cash, DM;
Modat, M;
Nicholas, J;
Manning, EN;
Malone, IB;
... Alzheimer's Disease Neuroimaging Initiative, .; + view all
(2018)
Patterns of progressive atrophy vary with age in Alzheimer's disease patients.
Neurobiology of Aging
, 63
pp. 22-32.
10.1016/j.neurobiolaging.2017.11.002.
|
Firth, NC;
Primativo, S;
Marinescu, R-V;
Shakespeare, TJ;
Suarez-Gonzalez, A;
Lehmann, M;
Carton, A;
... Crutch, SJ; + view all
(2019)
Longitudinal neuroanatomical and cognitive progression of posterior cortical atrophy.
Brain
, 142
(7)
pp. 2082-2095.
10.1093/brain/awz136.
|
Gibson, E;
Li, W;
Sudre, C;
Fidon, L;
Shakir, DI;
Wang, G;
Eaton-Rosen, Z;
... Vercauteren, T; + view all
(2018)
NiftyNet: a deep-learning platform for medical imaging.
Computer Methods and Programs in Biomedicine
, 158
pp. 113-122.
10.1016/j.cmpb.2018.01.025.
|
Goodkin, O;
Prados, F;
Vos, SB;
Pemberton, H;
Collorone, S;
Hagens, MHJ;
Cardoso, MJ;
... Barkhof, F; + view all
(2021)
FLAIR-only joint volumetric analysis of brain lesions and atrophy in clinically isolated syndrome (CIS) suggestive of multiple sclerosis.
NeuroImage: Clinical
, 29
, Article 102542. 10.1016/j.nicl.2020.102542.
|
Graham, Mark S;
May, Anna;
Varsavsky, Thomas;
Sudre, Carole H;
Murray, Benjamin;
Kläser, Kerstin;
Antonelli, Michela;
... Astley, Christina M; + view all
(2022)
Knowledge barriers in a national symptomatic-COVID-19 testing programme.
PLoS Global Public Health
, 2
(1)
, Article e0000028. 10.1371/journal.pgph.0000028.
|
|
Groot, C;
Sudre, CH;
Barkhof, F;
Teunissen, CE;
van Berckel, BNM;
Seo, SW;
Ourselin, S;
... Ossenkoppele, R; + view all
(2018)
Clinical Phenotype, Atrophy, and Small Vessel Disease in APOEε2 Carriers With Alzheimer Disease.
Neurology
10.1212/WNL.0000000000006503.
(In press).
|
Guerreiro, F;
Burgos, N;
Dunlop, A;
Wong, K;
Petkar, I;
Nutting, C;
Harrington, K;
... Knopf, AC; + view all
(2017)
Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planning.
Physica Medica
, 35
pp. 7-17.
10.1016/j.ejmp.2017.02.017.
|
Haddow, L;
Sudre, CH;
Sokolska, M;
Gilson, RC;
Williams, I;
Golay, X;
Ourselin, S;
... Jäger, R; + view all
(2019)
Magnetic resonance imaging of cerebral small vessel disease in men living with HIV and HIV negative men aged 50 and above.
AIDS Research and Human Retroviruses
, 35
(5)
pp. 453-460.
10.1089/AID.2018.0249.
|
Harding, SR;
Bocchetta, M;
Gordon, E;
Cash, DM;
Cardoso, MJ;
Druyeh, R;
Ourselin, S;
... Rohrer, JD; + view all
(2017)
The TMEM106B risk allele is associated with lower cortical volumes in a clinically diagnosed frontotemporal dementia cohort.
Journal of Neurology, Neurosurgery & Psychiatry
, 88
pp. 997-998.
10.1136/jnnp-2017-315641.
|
Hoang Duc, AK;
Eminowicz, G;
Mendes, R;
Wong, SL;
McClelland, J;
Modat, M;
Cardoso, MJ;
... Ourselin, S; + view all
(2015)
Validation of clinical acceptability of an atlas-based segmentation algorithm for the delineation of organs at risk in head and neck cancer.
Medical Physics
, 42
(9)
pp. 5027-5034.
10.1118/1.4927567.
|
Hoang Duc, AK;
Modat, M;
Leung, KK;
Cardoso, MJ;
Barnes, J;
Kadir, T;
Ourselin, S;
(2013)
Using manifold learning for atlas selection in multi-atlas segmentation.
PLoS One
, 8
(8)
, Article e70059. 10.1371/journal.pone.0070059.
|
Holmes, HE;
Colgan, N;
Ismail, O;
Ma, D;
Powell, NM;
O'Callaghan, JM;
Harrison, IF;
... Lythgoe, MF; + view all
(2016)
Imaging the accumulation and suppression of tau pathology using multiparametric MRI.
Neurobiology of Aging
, 39
pp. 184-194.
10.1016/j.neurobiolaging.2015.12.001.
|
Holmes, HE;
Powell, NM;
Ma, D;
Ismail, O;
Harrison, IF;
Wells, JA;
Colgan, N;
... Lythgoe, MF; + view all
(2017)
Comparison of In Vivo and Ex Vivo MRI for the Detection of Structural Abnormalities in a Mouse Model of Tauopathy.
Frontiers in Neuroinformatics
, 11
, Article 20. 10.3389/fninf.2017.00020.
|
Jorge Cardoso, M;
Leung, K;
Modat, M;
Keihaninejad, S;
Cash, D;
Barnes, J;
Fox, NC;
... Alzheimer’s Disease Neuroimaging Initiative; + view all
(2013)
STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation.
Med Image Anal
, 17
(6)
671 - 684.
10.1016/j.media.2013.02.006.
|
Kanber, B;
Ruffle, J;
Cardoso, J;
Ourselin, S;
Ciccarelli, O;
(2020)
Neurosense: deep sensing of full or near-full coverage head/brain scans in human magnetic resonance imaging.
Neuroinformatics
, 18
pp. 333-336.
10.1007/s12021-019-09442-x.
|
Kinnunen, KM;
Cash, DM;
Poole, T;
Frost, C;
Benzinger, TLS;
Ahsan, RL;
Leung, KK;
... Dominantly Inherited Alzheimer Network (DIAN), .; + view all
(2017)
Presymptomatic atrophy in autosomal dominant Alzheimer's disease: A serial MRI study.
Alzheimer's & Dementia
, 14
(1)
pp. 43-53.
10.1016/j.jalz.2017.06.2268.
|
Klaser, K;
Borges, P;
Shaw, R;
Ranzini, M;
Modat, M;
Atkinson, D;
Thielemans, K;
... Ourselin, S; + view all
(2021)
A Multi-Channel Uncertainty-Aware Multi-Resolution Network for MR to CT Synthesis.
Applied Sciences
, 11
(4)
p. 1667.
10.3390/app11041667.
|
Kochan, M;
Daga, P;
Burgos, N;
White, M;
Cardoso, MJ;
Mancini, L;
Winston, GP;
... Ourselin, S; + view all
(2015)
Simulated field maps for susceptibility artefact correction in interventional MRI.
International Journal of Computer Assisted Radiology and Surgery
, 10
(9)
pp. 1405-1416.
10.1007/s11548-015-1253-7.
|
Kuijf, HJ;
Biesbroek, JM;
de Bresser, J;
Heinen, R;
Andermatt, S;
Bento, M;
Berseth, M;
... Biessels, GJ; + view all
(2019)
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities; Results of the WMH Segmentation Challenge.
IEEE Transactions on Medical Imaging
, 38
(11)
pp. 2556-2568.
10.1109/TMI.2019.2905770.
|
Ladefoged, CN;
Law, I;
Anazodo, U;
St Lawrence, K;
Izquierdo-Garcia, D;
Catana, C;
Burgos, N;
... Andersen, FL; + view all
(2017)
A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients.
NeuroImage
, 147
pp. 346-359.
10.1016/j.neuroimage.2016.12.010.
|
Lane, CA;
Parker, TD;
Cash, DM;
Macpherson, K;
Donnachie, E;
Murray-Smith, H;
Barnes, A;
... Schott, JM; + view all
(2017)
Study protocol: Insight 46 - a neuroscience sub-study of the MRC National Survey of Health and Development.
BMC Neurology
, 17
, Article 75. 10.1186/s12883-017-0846-x.
|
Lehmann, M;
Melbourne, A;
Dickson, JC;
Ahmed, RM;
Modat, M;
Cardoso, MJ;
Thomas, DL;
... Schott, JM; + view all
(2016)
A novel use of arterial spin labelling MRI to demonstrate focal hypoperfusion in individuals with posterior cortical atrophy: a multimodal imaging study.
Journal of Neurology, Neurosurgery and Psychiatry
, 87
(9)
pp. 1032-1034.
10.1136/jnnp-2015-312782.
|
Leijenaar, JF;
Groot, C;
Sudre, CH;
Bergeron, D;
Leeuwis, AE;
Cardoso, MJ;
Carrasco, FP;
... Ossenkoppele, R; + view all
(2020)
Comorbid amyloid-β pathology affects clinical and imaging features in VCD.
Alzheimer's & Dementia
, 16
(2)
pp. 354-364.
10.1016/j.jalz.2019.08.190.
|
Liang, Y;
Gordon, E;
Rohrer, J;
Downey, L;
de Silva, R;
Jäger, HR;
Nicholas, J;
... Caine, D; + view all
(2013)
A cognitive chameleon: Lessons from a novel MAPT mutation case.
Neurocase
10.1080/13554794.2013.826697.
|
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.
|
Lorenzi, M;
Simpson, IJ;
Mendelson, AF;
Vos, SB;
Cardoso, MJ;
Modat, M;
Schott, JM;
(2016)
Multimodal Image Analysis in Alzheimer's Disease via Statistical Modelling of Non-local Intensity Correlations.
Scientific Reports
, 6
, Article 22161. 10.1038/srep22161.
|
Ma, D;
Cardoso, MJ;
Modat, M;
Powell, N;
Wells, J;
Holmes, H;
Wiseman, F;
... Ourselin, S; + view all
(2014)
Automatic structural parcellation of mouse brain MRI using multi-atlas label fusion.
PLoS One
, 9
(1)
, Article e86576. 10.1371/journal.pone.0086576.
|
Ma, D;
Cardoso, MJ;
Zuluaga, MA;
Modat, M;
Powell, NM;
Wiseman, FK;
Cleary, JO;
... Ourselin, SE; + view all
(2020)
Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome – a comprehensive morphometric analysis with active staining contrast-enhanced MRI.
NeuroImage
, 223
, Article 117271. 10.1016/j.neuroimage.2020.117271.
|
Ma, D;
Holmes, HE;
Cardoso, MJ;
Modat, M;
Harrison, IF;
Powell, NM;
O'Callaghan, JM;
... Ourselin, S; + view all
(2019)
Study the Longitudinal in vivo and Cross-Sectional ex vivo Brain Volume Difference for Disease Progression and Treatment Effect on Mouse Model of Tauopathy Using Automated MRI Structural Parcellation.
Frontiers in Neuroscience
, 13
, Article 11. 10.3389/fnins.2019.00011.
|
Manning, EN;
Leung, KK;
Nicholas, JM;
Malone, IB;
Cardoso, MJ;
Schott, JM;
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Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning.
In: Frangi, AF and Schnabel, JA and Davatzikos, C and Alberola-López, C and Fichtinger, G, (eds.)
Medical Image Computing and Computer Assisted Intervention: Proceedings, Part IV.
(pp. pp. 3-11).
Springer: Cham, Switzerland.
|
Bragman, FJS;
Tanno, R;
Ourselin, S;
Alexander, DC;
Cardoso, MJ;
(2019)
Learning task-specific and shared representations in medical imaging.
In:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019.
(pp. pp. 374-383).
Springer Nature: Cham, Switzerland.
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Brudfors, M;
Balbastre, Y;
Ashburner, J;
Rees, G;
Nachev, P;
Ourselin, S;
Cardoso, MJ;
(2021)
An MRF-UNet Product of Experts for Image Segmentation.
In:
Proceedings of Machine Learning Research.
(pp. pp. 48-59).
Proceedings of Machine Learning Research (PMLR): Lübeck, Germany.
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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;
Guerreiro, F;
McClelland, J;
Nill, S;
Dearnaley, D;
Desouza, N;
Oelfke, U;
... Cardoso, MJ; + view all
(2016)
Joint segmentation and CT synthesis for MRI-only radiotherapy treatment planning.
In: Ourselin, S and Joskowicz, L and Sabuncu, M and Unal, G and Wells, W, (eds.)
International Conference on Medical Image Computing and Computer-Assisted Intervention.
(pp. pp. 547-555).
Springer: Cham, Switzerland.
|
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.
|
Canas, LS;
Yvernault, BC;
Sudre, CH;
Vita, ED;
Cardoso, MJ;
Thornton, JS;
Barkhof, F;
... Modat, M; + view all
(2018)
Imaging biomarkers for the diagnosis of Prion disease.
In: Angelini, ED and Landman, BA, (eds.)
Medical Imaging 2018: Image Processing.
(pp. p. 1057405).
SPIE: Houston, Texas, United States.
|
Cardoso, MJ;
Modat, M;
Vercauteren, T;
Ourselin, S;
(2015)
Scale factor point spread function matching: beyond aliasing in image resampling.
In:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015.
(pp. pp. 675-683).
Springer International Publishing
|
Eaton-Rosen, Z;
Melbourne, A;
Jorge Cardoso, M;
Marlow, N;
Ourselin, S;
(2016)
Beyond the resolution limit: Diffusion parameter estimation in partial volume.
In: Ourselin, S and Joskowicz, J and Sabuncu, MR and Unal, G and Wells, W, (eds.)
Medical Image Computing and Computer-Assisted Intervention MICCAI 2016.
(pp. pp. 605-612).
Springer International Publishing AG
|
Graham, MS;
Sudre, CH;
Varsavsky, T;
Tudosiu, PD;
Nachev, P;
Ourselin, S;
Cardoso, MJ;
(2020)
Hierarchical Brain Parcellation with Uncertainty.
In: Sudre, C and Fehri, H and Arbel, T and Baumgartner, C and Dalca, A and Tanno, R and Van Leemput, K and Wells, W and Sotiras, A and Papiez, B and Ferrante, E and Parisot, S, (eds.)
UNSURE 2020, GRAIL 2020: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis.
(pp. pp. 23-31).
Springer: Lima, Peru.
|
Groothuis, I;
Sudre, CH;
Ingala, S;
Barnes, J;
Gispert, JD;
Sørensen, L;
Pai, A;
... Modat, M; + view all
(2021)
Lesion-wise evaluation for effective performance monitoring of small object segmentation.
In:
Proceedings SPIE 11596, Medical Imaging 2021: Image Processing.
SPIE
|
Klaser, K;
Borges, P;
Shaw, R;
Ranzini, M;
Modat, M;
Atkinson, D;
Thielemans, K;
... Ourselin, S; + view all
(2020)
Uncertainty-aware multi-resolution whole-body MR to CT synthesis.
In:
International Workshop on Simulation and Synthesis in Medical Imaging SASHIMI 2020: Simulation and Synthesis in Medical Imaging.
(pp. pp. 110-119).
Springer, Cham
|
Kläser, K;
Markiewicz, P;
Ranzini, M;
Li, W;
Modat, M;
Hutton, BF;
Atkinson, D;
... Ourselin, S; + view all
(2018)
Deep Boosted Regression for MR to CT Synthesis.
In: Gooya, A and Goksel, O and Oguz, I and Burgos, N, (eds.)
SASHIMI 2018: Simulation and Synthesis in Medical Imaging: Proceedings.
(pp. pp. 61-70).
Springer: Cham, Switzerland.
|
Klaser, K;
Varsavsky, T;
Markiewicz, P;
Atkinson, D;
Thielemans, K;
Hutton, B;
Cardoso, M;
(2019)
Improved MR to CT synthesis for PET/MR attenuation correction using Imitation Learning.
In: Burgos, N and Gooya, A and Svoboda, D, (eds.)
Simulation and Synthesis in Medical Imaging. SASHIMI 2019. Lecture Notes in Computer Science, vol 11827.
Springer: Cham.
|
Kochan, M;
Daga, P;
Burgos, N;
Cardoso, MJ;
Stoyanov, D;
Ourselin, S;
White, M;
... Duncan, JS; + view all
(2014)
Simulated field maps: Toward improved susceptibility artefact correction in interventional MRI.
In: Stoyanov, D and Collins, DL and Sakuma, I and Abolmaesumi, P and Jannin, P, (eds.)
Information Processing in Computer-Assisted Interventions: 5th International Conference, IPCAI 2014, Fukuoka, Japan, June 28, 2014. Proceedings.
(pp. pp. 226-235).
Springer International Publishing: Switzerland.
|
Li, W;
Wang, G;
Fidon, L;
Ourselin, S;
Cardoso, MJ;
Vercauteren, T;
(2017)
On the compactness, efficiency, and representation of 3D convolutional networks: Brain parcellation as a pretext task.
In: Niethammer, M and Styner, M and Aylward, S and Zhu, H and Oguz, I and Yap, PT and Shen, D, (eds.)
Information Processing in Medical Imaging: 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings.
(pp. pp. 348-360).
Springer: Cham, Switzerland.
|
Ma, D;
Cardoso, M;
Modat, M;
Powell, N;
Holmes, H;
Lythgoe, M;
Ourselin, S;
(2012)
Multi Atlas Segmentation applied to in vivo mouse brain MRI.
In: Landman, BA and Warfield, SK, (eds.)
MICCAI 2012 Workshop on Multi-Atlas Labeling.
(pp. 134 - 143).
MICCAI 2012 Workshop on Multi-Atlas Labeling: Nice.
|
Ma, D;
Cardoso, MJ;
Zuluaga, MA;
Modat, M;
Powell, N;
Wiseman, F;
Tybulewicz, V;
... Ourselin, S; + view all
(2015)
Grey matter sublayer thickness estimation in the mouse cerebellum.
In: Navab, N and Hornegger, J and Wells, WM and Frangi, AF, (eds.)
Proceedings of 18th International Conference in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015.
(pp. pp. 644-651).
Springer International Publishing Switzerland: Munich, Germany.
|
Melbourne, A;
Eaton-Rosen, Z;
De Vita, E;
Bainbridge, A;
Cardoso, MJ;
Price, D;
Cady, E;
... Ourselin, S; + view all
(2014)
Multi-modal measurement of the myelin-to-axon diameter g-ratio in preterm-born neonates and adult controls.
In: Golland, P and Hata, N and Barillot, C and Hornegger, J and Howe, R, (eds.)
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II.
(pp. pp. 268-275).
Springer International Publishing: Switzerland.
|
Melbourne, A;
Orasanu, E;
Eaton-Rosen, Z;
Cardoso, MJ;
Beckmann, J;
Smith, L;
Atkinson, D;
... Ourselin, S; + view all
(2016)
Analysis of brain volume in a 19 year-old extremely-preterm born cohort.
In:
Proceedings of the ISMRM 24th Annual Meeting & Exhibition.
(pp. p. 4082).
International Society for Magnetic Resonance in Medicine (ISMRM): Singapore.
|
Modat, M;
Leung, KK;
Cardoso, MJ;
Fox, NC;
(2012)
Atrophy Measurement Based on Segmentation Propagation and the Boundary Shift Integral Technique.
In: Wang, L and Yushkevich, P and Ourselin, S, (eds.)
NIBAD'12: MICCAI 2012 Workshop on Novel Imaging Biomarkers for Alzheimer's Disease and Related Disorders, October 5, 2012, Acropolis Convention Center, Nice, France.
(pp. 266 - 274).
CreateSpace Independent Publishing Platform
|
Moriconi, S;
Zuluaga, MA;
Jäger, HR;
Nachev, P;
Ourselin, S;
Cardoso, MJ;
(2018)
Elastic registration of geodesic vascular graphs.
In: Frangi, A and Schnabel, JA and Davatzikos, C and Alberola-López, C, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I.
(pp. pp. 810-818).
Springer: Cham, Switzerland.
|
Moriconi, S;
Zuluaga, MA;
Jäger, HR;
Nachev, P;
Ourselin, S;
Cardoso, MJ;
(2017)
VTrails: Inferring vessels with geodesic connectivity trees.
In: Niethammer, M and Styner, M and Aylward, S and Zhu, H and Oguz, I and Yap, PT and Shen, D, (eds.)
Information Processing in Medical Imaging.
(pp. pp. 672-684).
Springer: Cham, Switzerland.
|
Orbes-Arteaga, M;
Varsavsky, T;
Sudre, CH;
Eaton-Rosen, Z;
Haddow, LJ;
Sørensen, L;
Nielsen, M;
... Cardoso, MJ; + view all
(2019)
Multi-domain adaptation in brain MRI through paired consistency and adversarial learning.
In:
Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data.
(pp. pp. 54-62).
Springer: Cham, Switzerland.
|
Prados Carrasco, F;
Cardoso, MJ;
Burgos, N;
Wheeler-Kingshott, CAM;
Ourselin, S;
(2016)
NiftyWeb: web based platform for image processing on the cloud.
In:
Proceedings of the 24th Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM).
International Society for Magnetic Resonance in Medicine (ISMRM): Singapore.
|
Prados Carrasco, F;
Cardoso, MJ;
Yiannakas, MC;
Hoy, LR;
Tebaldi, E;
Kearney, H;
Liechti, MD;
... Ourselin, S; + view all
(2016)
Fully automated grey and white matter segmentation of the cervical cord in vivo.
In:
Proceedings of the 24th Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM).
International Society for Magnetic Resonance in Medicine (ISMRM): Singapore.
|
Prados Carrasco, F;
Yiannakas, MC;
Cardoso, MJ;
Grussu, F;
De Angelis, F;
Plantone, D;
Miller, DH;
... Ourselin, S; + view all
(2016)
Computing spinal cord atrophy using the Boundary Shift Integral: a more powerful outcome measure for clinical trials?
In:
ECTRIMS Online Library.
(pp. P1605).
European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS): Basel, Switzerland.
|
Prados Carrasco, F;
Yiannakas, MC;
Cardoso, MJ;
Grussu, F;
De Angelis, F;
Plantone, D;
Miller, DH;
... Ourselin, S; + view all
(2016)
Atrophy computation in the spinal cord using the Boundary Shift Integral.
In:
Proceedings of the 24th Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM).
International Society for Magnetic Resonance in Medicine (ISMRM): Singapore.
|
Ranzini, MBM;
Ebner, M;
Cardoso, MJ;
Fotiadou, A;
Vercauteren, T;
Henckel, J;
Hart, A;
... Modat, M; + view all
(2018)
Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients.
In: Glocker, B and Yao, J and Vrtovec, T and Frangi, A and Zheng, G, (eds.)
Computational Methods and Clinical Applications in Musculoskeletal Imaging: 5th International Workshop, MSKI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised Selected Papers.
Springer: Cham, Switzerland.
|
Ranzini, MBM;
Groothuis, I;
Klaser, K;
Cardoso, MJ;
Henckel, J;
Ourselin, S;
Hart, A;
(2020)
Combining Multimodal Information for Metal Artefact Reduction: An Unsupervised Deep Learning Framework.
In:
Proceedings - International Symposium on Biomedical Imaging.
(pp. pp. 600-604).
IEEE: Iowa City, IA, USA.
|
Samson, RS;
Cardoso, MJ;
Muhlert, N;
Sethi, V;
Yaldizli, Ö;
Ron, MA;
Prados Carrasco, F;
... Chard, DT; + view all
(2017)
Longitudinal outer and inner cortical MTR abnormalities in different MS clinical phenotypes.
In:
Proceedings of the ISMRM 25th Annual Meeting & Exhibition.
International Society for Magnetic Resonance in Medicine (ISMRM): Honululu, HI, USA.
|
Scott, CJ;
Jiao, J;
Cardoso, MJ;
Kläser, K;
Melbourne, A;
Markiewicz, PJ;
Schott, JM;
... Ourselin, S; + view all
(2018)
Short acquisition time PET/MR pharmacokinetic modelling using CNNs.
In:
Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention: MICCAI 2018.
(pp. pp. 48-56).
Springer, Cham: Granada, Spain.
|
Scott, CJ;
Jiao, J;
Cardoso, MJ;
Melbourne, A;
De Vita, E;
Thomas, DL;
Burgos, N;
... Ourselin, S; + view all
(2017)
Short acquisition time PET quantification using MRI-based pharmacokinetic parameter synthesis.
In: Descoteaux, M and Maier-Hein, L and Franz, A and Jannin, P and Collins, D and Duchesne, S, (eds.)
MICCAI 2017: International Conference on Medical Image Computing and Computer-Assisted Intervention.
(pp. pp. 737-744).
Springer: Cham, Switzerland.
|
Shaw, R;
Sudre, CH;
Ourselin, S;
Cardoso, MJ;
(2020)
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality.
In:
Proceedings of the Third Conference on Medical Imaging with Deep Learning.
(pp. pp. 733-742).
PMLR: Montreal, QC, Canada.
|
Silva, MD;
Sudre, CH;
Garcia, K;
Bass, C;
Cardoso, MJ;
Robinson, EC;
(2021)
Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks.
In:
Machine Learning in Clinical Neuroimaging.
(pp. pp. 13-22).
Springer: Cham, Switzerland.
|
Sudre, CH;
Li, W;
Vercauteren, T;
Ourselin, S;
Cardoso, MJ;
(2017)
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations.
In:
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support.
(pp. pp. 240-248).
Springer Nature: Cham, Switzerland.
|
Tudosiu, Petru-Daniel;
Pinaya, Walter Hugo Lopez;
Graham, Mark S;
Borges, Pedro;
Fernandez, Virginia;
Yang, Dai;
Appleyard, Jeremy;
... Cardoso, Jorge; + view all
(2022)
Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain.
In: Zhao, C and Svoboda, D and Wolterink, JM and Escobar, M, (eds.)
Simulation and Synthesis in Medical Imaging. SASHIMI 2022.
(pp. pp. 66-78).
Springer, Cham
|
Varsavsky, T;
Orbes-Arteaga, M;
Sudre, CH;
Graham, MS;
Nachev, P;
Cardoso, MJ;
(2020)
Test-time unsupervised domain adaptation.
In:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020.
(pp. pp. 428-436).
Springer: Peru.
|
Varsavsky, T;
Eaton-Rosen, Z;
Sudre, CH;
Nachev, P;
Cardoso, MJ;
(2018)
Pimms: Permutation invariant multi-modal segmentation.
In:
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support.
(pp. pp. 201-209).
Springer: Cham, Switzerland.
|
Zuluaga, MA;
Cardoso, MJ;
Modat, M;
Ourselin, S;
(2013)
Multi-atlas propagation whole heart segmentation from MRI and CTA using a local normalised correlation coefficient criterion.
In: Ourselin, S and Rueckert, D and Smith, N, (eds.)
Functional Imaging and Modeling of the Heart: 7th International Conference, FIMH 2013, London, UK, June 20-22, 2013. Proceedings.
(pp. 174 - 181).
Springer Berlin Heidelberg: Berlin, Germany.
|
Zuluaga, MA;
Rodionov, R;
Nowell, M;
Achhala, S;
Zombori, G;
Cardoso, MJ;
Miserocchi, A;
... Ourselin, S; + view all
(2014)
SEEG trajectory planning: combining stability, structure and scale in vessel extraction.
In: Golland, P and Hata, N and Barillot, C and Hornegger, J and Howe, R, (eds.)
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II.
(pp. pp. 651-658).
Springer International Publishing: Switzerland.
|
Working / discussion paper
Sudre, C;
Murray, B;
Varsavsky, T;
Graham, M;
Penfold, R;
Bowyer, R;
Pujol, JC;
... Steves, C; + view all
(2020)
Attributes and predictors of Long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App.
MedRxiv: Cold Spring Harbor, NY, USA.
|
Conference item
Prados Carrasco, F;
Solanky, BS;
Alves da Mota, P;
Cardoso, MJ;
Brownlee, WJ;
Riemer, F;
Miller, DH;
... Wheeler-Kingshott, CAM; + view all
(2016)
Regional variation of total sodium concentration in the healthy human brain.
Presented at: International Society for Magnetic Resonance in Medicine (ISMRM) 24th Scientific Meeting and Exhibition, Singapore.
|
Prados Carrasco, F;
Solanky, BS;
Alves Da Mota, P;
Cardoso, MJ;
Brownlee, WJ;
Riemer, F;
Miller, DH;
... Ourselin, S; + view all
(2016)
Automatic sodium maps reconstruction using PatchMatch algorithm for phantom detection.
Presented at: International Society for Magnetic Resonance in Medicine (ISMRM) 24th Scientific Meeting and Exhibition, Singapore.
|
Samson, RS;
Brownlee, WJ;
Cardoso, MJ;
Brown, WJL;
Pardini, M;
Prados Carrasco, F;
Ourselin, S;
... Chard, DT; + view all
(2016)
Outer and inner cortical MTR abnormalities in clinically isolated syndromes.
Presented at: ECTRIMS 2016: 32nd Congress of the European Committee for Treatment and Research in Multiple Sclerosis, London, UK.
|
Samson, RS;
Cardoso, MJ;
Brownlee, WJ;
Brown, WJL;
Pardini, M;
Ourselin, S;
Wheeler-Kingshott, CAM;
(2016)
Outer and inner cortical MTR abnormalities observed in clinically isolated syndromes.
Presented at: International Society for Magnetic Resonance in Medicine (ISMRM) 24th Annual Meeting & Exhibition 2016, Singapore, Malaysia.
|
Smith, L;
Melbourne, A;
Owen, D;
Cardoso, MJ;
Sudre, C;
Tillin, T;
Sokolska, M;
... Jager, R; + view all
(2018)
Cortical Cerebral Blood Flow in Aging: Effects of Haematocrit, Sex and Ethnicity.
Presented at: Joint Annual Meeting ISMRM-ESMRMB 2018, Paris, France.
|
Thesis
Burgos, NF;
(2016)
Image synthesis for the attenuation correction and analysis of PET/MR data.
Doctoral thesis , UCL (University College London).
|
Machado Cardoso, MJ;
(2012)
Automated Morphometric Characterization of the Cerebral Cortex for the Developing and Ageing Brain.
Doctoral thesis , UCL (University College London).
|
Sudre, CH;
(2016)
Automated segmentation and characterisation of white matter hyperintensities.
Doctoral thesis , UCL (University College London).
|