Browse by UCL people
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Number of items: 163.
Article
Antonelli, M;
Penfold, RS;
Canas, LDS;
Sudre, C;
Rjoob, K;
Murray, B;
Molteni, E;
... Steves, C; + view all
(2023)
SARS-CoV-2 infection following booster vaccination: Illness and symptom profile in a prospective, observational community-based case-control study.
Journal of Infection
10.1016/j.jinf.2023.08.009.
(In press).
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Antonelli, M;
Penfold, RS;
Merino, J;
Sudre, CH;
Molteni, E;
Berry, S;
Canas, LS;
... Steves, CJ; + view all
(2022)
Risk factors and disease profile of post-vaccination SARS-CoV-2 infection in UK users of the COVID Symptom Study app: a prospective, community-based, nested, case-control study.
The Lancet Infectious Diseases
, 22
(1)
pp. 43-55.
10.1016/S1473-3099(21)00460-6.
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Antonelli, M;
Capdevila, J;
Chaudhari, A;
Granerod, J;
Canas, LS;
Graham, MS;
Klaser, K;
... Loeliger, AE; + view all
(2021)
Optimal symptom combinations to aid COVID-19 case identification: Analysis from a community-based, prospective, observational cohort.
Journal of Infection
10.1016/j.jinf.2021.02.015.
(In press).
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Bass, Cher;
Silva, Mariana da;
Sudre, Carole H;
Williams, Logan ZJ;
Sousa, Helena S;
Tudosiu, Petru-Daniel;
Alfaro-Almagro, Fidel;
... Robinson, Emma C; + view all
(2023)
ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.
IEEE Transactions on Medical Imaging
, 42
, Article 4. 10.1109/TMI.2022.3221890.
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Bowyer, RCE;
Varsavsky, T;
Thompson, EJ;
Sudre, CH;
Murray, BAK;
Freidin, MB;
Yarand, D;
... Menni, C; + view all
(2020)
Geo-social gradients in predicted COVID-19 prevalence in Great Britain: results from 1 960 242 users of the COVID-19 Symptoms Study app.
Thorax
10.1136/thoraxjnl-2020-215119.
(In press).
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Brown, J William L;
Prados Carrasco, F;
Eshaghi, A;
Sudre, CH;
Button, T;
Pardini, M;
Samson, RS;
... Chard, DT; + view all
(2020)
Periventricular magnetisation transfer ratio abnormalities in multiple sclerosis improve after alemtuzumab.
Multiple Sclerosis Journal
, 26
(9)
1093 -1101.
10.1177/1352458519852093.
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Brown, Thomas M;
James, Sarah-Naomi;
Nicholas, Jennifer M;
Keuss, Sarah;
Keshavan, Ashvini;
Malone, Ian B;
Coath, William;
... Barnes, Josephine; + view all
(2025)
Association of Increase in White Matter Hyperintensity Volume With Rate of Hippocampal Atrophy in a Population-Based Study of Aging.
Neurology
, 105
(5)
, Article e213975. 10.1212/WNL.0000000000213975.
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Brown, W;
Chowdhury, A;
Kanber, B;
Prados Carrasco, F;
Eshaghi, A;
Sudre, CH;
Pardini, M;
... Chard, DT; + view all
(2019)
Magnetisation transfer ratio abnormalities in primary and secondary progressive multiple sclerosis.
Multiple Sclerosis Journal
(In press).
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Brugulat-Serrat, A;
Salvado, G;
Operto, G;
Cacciaglia, R;
Sudre, CH;
Grau-Rivera, O;
Suarez-Calvet, M;
... Vilor-Tejedor, N; + view all
(2020)
White matter hyperintensities mediate gray matter volume and processing speed relationship in cognitively unimpaired participants.
Human Brain Mapping
, 41
(5)
pp. 1309-1322.
10.1002/hbm.24877.
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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.
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Buchanan, SM;
Parker, TD;
Lane, CA;
Keshavan, A;
Keuss, SE;
Lu, K;
James, S-N;
... Schott, JM; + view all
(2020)
Olfactory testing does not predict beta-amyloid, MRI measures of neurodegeneration or vascular pathology in the British 1946 birth cohort.
Journal of Neurology
10.1007/s00415-020-10004-4.
(In press).
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Canas, LS;
Molteni, E;
Deng, J;
Sudre, CH;
Murray, B;
Kerfoot, E;
Antonelli, M;
... Modat, M; + view all
(2023)
Profiling post-COVID-19 condition across different variants of SARS-CoV-2: a prospective longitudinal study in unvaccinated wild-type, unvaccinated alpha-variant, and vaccinated delta-variant populations.
The Lancet Digital Health
, 5
(7)
e421-e434.
10.1016/S2589-7500(23)00056-0.
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Canas, LS;
Österdahl, MF;
Deng, J;
Hu, C;
Selvachandran, S;
Polidori, L;
May, A;
... Duncan, EL; + view all
(2021)
Disentangling post-vaccination symptoms from early COVID-19.
EClinicalMedicine
, 42
, Article 101212. 10.1016/j.eclinm.2021.101212.
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Canas, LS;
Sudre, CH;
Pujol, JC;
Polidori, L;
Murray, B;
Molteni, E;
Graham, MS;
... Modat, M; + view all
(2021)
Early detection of COVID-19 in the UK using self-reported symptoms: a large-scale, prospective, epidemiological surveillance study.
Lancet Digital Health
, 3
(9)
e587-e598.
10.1016/S2589-7500(21)00131-X.
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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).
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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).
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Cheetham, Nathan J;
Penfold, Rose;
Giunchiglia, Valentina;
Bowyer, Vicky;
Sudre, Carole H;
Canas, Liane S;
Deng, Jie;
... Steves, Claire J; + view all
(2023)
The effects of COVID-19 on cognitive performance in a community-based cohort: a COVID symptom study biobank prospective cohort study.
eClinicalMedicine
, Article 102086. 10.1016/j.eclinm.2023.102086.
(In press).
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Collij, LE;
Ingala, S;
Top, H;
Wottschel, V;
Stickney, KE;
Tomassen, J;
Konijnenberg, E;
... Braber, AD; + view all
(2021)
White matter microstructure disruption in early stage amyloid pathology.
Alzheimers Dement
, 13
(1)
, Article e12124. 10.1002/dad2.12124.
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Collorone, S;
Prados, F;
Hagens, MH;
Tur, C;
Kanber, B;
Sudre, CH;
Lukas, C;
... MAGNIMS Study Group, .; + view all
(2019)
Single-subject structural cortical networks in clinically isolated syndrome.
Multiple Sclerosis Journal
10.1177/1352458519865739.
(In press).
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Dijsselhof, Mathijs BJ;
Moore, Candace;
Amiri, Saba;
Tee, Mervin;
Hilal, Saima;
Chen, Christopher;
van den Born, Bert-Jan H;
... Petr, Jan; + view all
(2025)
Multi-cohort, multi-sequence harmonisation for cerebrovascular brain age.
Imaging Neurosci (Camb)
, 3
, Article IMAG.a.964. 10.1162/IMAG.a.964.
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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.
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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.
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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.
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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).
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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.
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Fyles, M;
Vihta, KD;
Sudre, CH;
Long, H;
Das, R;
Jay, C;
Wingfield, T;
... House, T; + view all
(2023)
Diversity of symptom phenotypes in SARS-CoV-2 community infections observed in multiple large datasets.
Scientific Reports
, 13
, Article 21705. 10.1038/s41598-023-47488-9.
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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.
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Goodkin, O;
Pemberton, H;
Vos, SB;
Prados, F;
Sudre, CH;
Moggridge, J;
Cardoso, MJ;
... Barkhof, F; + view all
(2019)
The quantitative neuroradiology initiative framework: application to dementia.
The British Institute of Radiology
, 92
(1101)
, Article 20190365. 10.1259/bjr.20190365.
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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.
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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.
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Graham, MS;
Sudre, CH;
May, A;
Antonelli, M;
Murray, B;
Varsaysky, T;
Klaser, K;
... Ourselin, S; + view all
(2021)
Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B.1.1.7: an ecological study.
Lancet Public Health
, 6
(5)
E335-E345.
10.1016/S2468-2667(21)00055-4.
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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).
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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.
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Haider, L;
Prados Carrasco, F;
Chung, K;
Goodkin, O;
Kanber, B;
Sudre, C;
Yiannakas, M;
... Barkhof, F; + view all
(2021)
Cortical involvement determines impairment 30 years after a clinically isolated syndrome.
Brain
, 144
(5)
pp. 1384-1395.
10.1093/brain/awab033.
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Ingala, S;
Mazzai, L;
Sudre, CH;
Salvadó, G;
Brugulat-Serrat, A;
Wottschel, V;
Falcon, C;
... ALFA Study, .; + view all
(2020)
The relation between APOE genotype and cerebral microbleeds in cognitively unimpaired middle- and old-aged individuals.
Neurobiology of Aging
, 95
pp. 104-114.
10.1016/j.neurobiolaging.2020.06.015.
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James, S-N;
Nicholas, JM;
Lane, CA;
Parker, TD;
Lu, K;
Keshavan, A;
Buchanan, SM;
... Fox, NC; + view all
(2021)
A population‐based study of head injury, cognitive function and pathological markers.
Annals of Clinical and Translational Neurology
10.1002/acn3.51331.
(In press).
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Kanber, B;
Nachev, P;
Barkhof, F;
Calvi, A;
Cardoso, M;
Cortese, R;
Prados Carrasco, F;
... Ciccarelli, O; + view all
(2019)
High-dimensional detection of imaging response to treatment in multiple sclerosis.
npj Digital Medicine
, 2
, Article 49. 10.1038/s41746-019-0127-8.
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Kazmi, H;
Walker, Z;
Booij, J;
Khan, F;
Shah, S;
Sudre, CH;
Buckman, JEJ;
(2020)
Late onset depression: dopaminergic deficit and clinical features of prodromal Parkinson's disease: a cross-sectional study.
Journal of Neurology, Neurosurgery & Psychiatry
10.1136/jnnp-2020-324266.
(In press).
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Kehoe, PG;
Turner, N;
Howden, B;
Jarutyt, L;
Clegg, SL;
Malone, IB;
Barnes, J;
... Ben-Shlomo, Y; + view all
(2021)
Losartan to slow the progression of mild-to-moderate Alzheimer's disease through angiotensin targeting: the RADAR RCT.
Efficacy and Mechanism Evaluation
, 8
(19)
pp. 1-72.
10.3310/eme08190.
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Kehoe, PG;
Turner, N;
Howden, B;
Jarutyte, L;
Clegg, SL;
Malone, IB;
Barnes, J;
... RADAR investigators, .; + view all
(2021)
Safety and efficacy of losartan for the reduction of brain atrophy in clinically diagnosed Alzheimer's disease (the RADAR trial): a double-blind, randomised, placebo-controlled, phase 2 trial.
Lancet Neurology
, 20
(11)
pp. 895-906.
10.1016/S1474-4422(21)00263-5.
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Kennedy, B;
Fitipaldi, H;
Hammar, U;
Maziarz, M;
Tsereteli, N;
Oskolkov, N;
Varotsis, G;
... Fall, T; + view all
(2022)
App-based COVID-19 syndromic surveillance and prediction of hospital admissions in COVID Symptom Study Sweden.
Nature Communications
, 13
(1)
, Article 2110. 10.1038/s41467-022-29608-7.
(In press).
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Keuss, Sarah E;
Coath, William;
Nicholas, Jennifer M;
Poole, Teresa;
Barnes, Josephine;
Cash, David M;
Lane, Christopher A;
... Schott, Jonathan M; + view all
(2022)
Associations of β-Amyloid and Vascular Burden With Rates of Neurodegeneration in Cognitively Normal Members of the 1946 British Birth Cohort.
Neurology
10.1212/WNL.0000000000200524.
(In press).
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Kläser, K;
Molteni, E;
Graham, M;
Canas, LS;
Österdahl, MF;
Antonelli, M;
Chen, L;
... Duncan, EL; + view all
(2022)
COVID-19 due to the B.1.617.2 (Delta) variant compared to B.1.1.7 (Alpha) variant of SARS-CoV-2: a prospective observational cohort study.
Scientific Reports
, 12
, Article 10904. 10.1038/s41598-022-14016-0.
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Klaser, K;
Thompson, EJ;
Nguyen, LH;
Sudre, CH;
Antonelli, M;
Murray, B;
Canas, LS;
... Steves, CJ; + view all
(2021)
Anxiety and depression symptoms after COVID-19 infection: results from the COVID Symptom Study app.
Journal of Neurology, Neurosurgery & Psychiatry
10.1136/jnnp-2021-327565.
(In press).
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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.
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Lame, A;
Thomas, EG;
van de Schraaf, SAJ;
Groot, C;
Sudre, CH;
Barkhof, F;
Muller, M;
... Rhodius-Meester, HFM; + view all
(2025)
No sex differences in the association between regional brain structure abnormalities and cognitive functioning in a geriatric memory clinic population.
Aging Brain
, 7
, Article 100137. 10.1016/j.nbas.2025.100137.
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Lane, CA;
Barnes, J;
Nicholas, JM;
Baker, JW;
Sudre, CH;
Cash, DM;
Parker, TD;
... Schott, JM; + view all
(2021)
Investigating the relationship between BMI across adulthood and late life brain pathologies.
Alzheimer's Research and Therapy
, 13
(1)
, Article 91. 10.1186/s13195-021-00830-7.
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Lane, CA;
Barnes, J;
Nicholas, JM;
Sudre, CH;
Cash, DM;
Malone, IB;
Parker, TD;
... Schott, JM; + view all
(2019)
Associations Between Vascular Risk Across Adulthood and Brain Pathology in Late Life: Evidence From a British Birth Cohort.
JAMA Neurology
, 77
(2)
pp. 175-183.
10.1001/jamaneurol.2019.3774.
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Lane, CA;
Barnes, J;
Nicholas, JM;
Sudre, CH;
Cash, DM;
Parker, TD;
Malone, IB;
... Schott, JM; + view all
(2019)
Associations between blood pressure across adulthood and late-life brain structure and pathology in the neuroscience substudy of the 1946 British birth cohort (Insight 46): an epidemiological study.
Lancet Neurology
10.1016/S1474-4422(19)30228-5.
(In press).
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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.
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Lee, KA;
Ma, W;
Sikavi, DR;
Drew, DA;
Nguyen, LH;
Bowyer, RCE;
Cardoso, MJ;
... COPE consortium; + view all
(2020)
Cancer and Risk of COVID-19 Through a General Community Survey.
Oncologist
10.1634/theoncologist.2020-0572.
(In press).
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Legdeur, N;
Badissi, M;
Yaqub, M;
Beker, N;
Sudre, CH;
Ten Kate, M;
Gordon, MF;
... Visser, PJ; + view all
(2021)
What Determines Cognitive Functioning in the Oldest-Old? The EMIF-AD 90+ Study.
The Journals of Gerontology: Series B
, 76
(8)
pp. 1499-1511.
10.1093/geronb/gbaa152.
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Legdeur, N;
Moonen, JE;
Badissi, M;
Sudre, CH;
Pelkmans, W;
Gordon, MF;
Barkhof, F;
... Muller, M; + view all
(2023)
Is the association between blood pressure and cognition in the oldest-old modified by physical, vascular or brain pathology markers? The EMIF-AD 90 + Study.
BMC Geriatrics
, 23
(1)
, Article 733. 10.1186/s12877-023-04440-w.
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Legdeur, N;
Tijms, BM;
Konijnenberg, E;
Den Braber, A;
Ten Kate, M;
Sudre, CH;
Tomassen, J;
... Visser, PJ; + view all
(2019)
Associations of Brain Pathology Cognitive and Physical Markers With Age in Cognitively Normal Individuals Aged 60–102 Years.
The Journals of Gerontology: Series A
, 75
(9)
pp. 1609-1617.
10.1093/gerona/glz180.
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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.
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Lo, Chun-Han;
Nguyen, Long H;
Drew, David A;
Warner, Erica T;
Joshi, Amit D;
Graham, Mark S;
Anyane-Yeboa, Adjoa;
... Chan, Andrew T; + view all
(2021)
Race, ethnicity, community-level socioeconomic factors, and risk of COVID-19 in the United States and the United Kingdom.
eClinical Medicine
, 38
, Article 101029. 10.1016/j.eclinm.2021.101029.
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Lorenzini, Luigi;
Collij, Lyduine E;
Tesi, Niccolo;
Vilor-Tejedor, Natalia;
Ingala, Silvia;
Blennow, Kaj;
Foley, Christopher;
... Barkhof, Frederik; + view all
(2024)
Alzheimer's disease genetic pathways impact cerebrospinal fluid biomarkers and imaging endophenotypes in non-demented individuals.
Alzheimer's & Dementia
, 20
(9)
pp. 6146-6160.
10.1002/alz.14096.
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Lorenzini, Luigi;
Maranzano, Alessio;
Ingala, Silvia;
Collij, Lyduine E;
Tranfa, Mario;
Blennow, Kaj;
Di Perri, Carol;
... Barkhof, Frederik; + view all
(2024)
Association of Vascular Risk Factors and Cerebrovascular Pathology With Alzheimer Disease Pathologic Changes in Individuals Without Dementia.
Neurology
, 103
(7)
, Article e209801. 10.1212/WNL.0000000000209801.
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Louca, P;
Murray, B;
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Longitudinal segmentation of age-related white matter hyperintensities.
MEDICAL IMAGE ANALYSIS
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10.1016/j.media.2017.02.007.
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Sudre, CH;
Keshet, A;
Graham, MS;
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Rossman, H;
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(2021)
Anosmia, ageusia, and other COVID-19-like symptoms in association with a positive SARS-CoV-2 test, across six national digital surveillance platforms: an observational study.
Lancet Digit Health
10.1016/S2589-7500(21)00115-1.
(In press).
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Sudre, CH;
Lee, KA;
Lochlainn, MN;
Varsavsky, T;
Murray, B;
Graham, MS;
Menni, C;
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(2021)
Symptom clusters in COVID-19: A potential clinical prediction tool from the COVID Symptom Study app.
Science Advances
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Sudre, CH;
Panovska-Griffiths, J;
Sanverdi, E;
Brandner, S;
Katsaros, VK;
Stranjalis, G;
Pizzini, FB;
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(2020)
Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status.
BMC Medical Informatics and Decision Making
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, Article 149. 10.1186/s12911-020-01163-5.
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Sudre, CH;
Smith, L;
Atkinson, D;
Chaturvedi, N;
Ourselin, S;
Barkhof, F;
Hughes, AD;
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(2018)
Cardiovascular Risk Factors and White Matter Hyperintensities: Difference in Susceptibility in South Asians Compared With Europeans.
Journal of the American Heart Association
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Ten Kate, M;
Sudre, CH;
den Braber, A;
Konijnenberg, E;
Nivard, MG;
Cardoso, MJ;
Scheltens, P;
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(2018)
White matter hyperintensities and vascular risk factors in monozygotic twins.
Neurobiology of Aging
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10.1016/j.neurobiolaging.2018.02.002.
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Tranfa, Mario;
Lorenzini, Luigi;
Collij, Lyduine E;
Vállez García, David;
Ingala, Silvia;
Pontillo, Giuseppe;
Pieperhoff, Leonard;
... Barkhof, Frederik; + view all
(2024)
Alzheimer's Disease and Small Vessel Disease Differentially Affect White Matter Microstructure.
Annals of Clinical and Translational Neurology
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10.1002/acn3.52071.
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van de Kreeke, JA;
Nguyen, HT;
Konijnenberg, E;
Tomassen, J;
den Braber, A;
Ten Kate, M;
Sudre, CH;
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(2018)
Retinal and Cerebral Microvasculopathy: Relationships and Their Genetic Contributions.
Investigative Ophthalmology & Visual Science
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10.1167/iovs.18-25341.
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Varsavsky, T;
Graham, MS;
Canas, LS;
Ganesh, S;
Capdevila Pujol, J;
Sudre, CH;
Murray, B;
... Ourselin, S; + view all
(2021)
Detecting COVID-19 infection hotspots in England using large-scale self-reported data from a mobile application: a prospective, observational study.
Lancet Public Health
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10.1016/S2468-2667(20)30269-3.
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Wagen, AZ;
Coath, W;
Keshavan, A;
James, SN;
Parker, TD;
Lane, CA;
Buchanan, SM;
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(2022)
Life course, genetic, and neuropathological associations with brain age in the 1946 British Birth Cohort: a population-based study.
The Lancet Healthy Longevity
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e607-e616.
10.1016/S2666-7568(22)00167-2.
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Walsh, P;
Sudre, CH;
Fiford, CM;
Ryan, NS;
Lashley, T;
Frost, C;
Barnes, J;
(2021)
The age-dependent associations of white matter hyperintensities and neurofilament light in early- and late-stage Alzheimer's disease.
Neurobiology of Aging
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pp. 10-17.
10.1016/j.neurobiolaging.2020.09.008.
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Walsh, P;
Sudre, CH;
Fiford, CM;
Ryan, NS;
Lashley, T;
Frost, C;
Barnes, J;
(2020)
CSF amyloid is a consistent predictor of white matter hyperintensities across the disease course from aging to Alzheimer's disease.
Neurobiology of Aging
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pp. 5-14.
10.1016/j.neurobiolaging.2020.03.008.
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Weaver, NA;
Zhao, L;
Biesbroek, JM;
Kuijf, HJ;
Aben, HP;
Bae, H-J;
Caballero, MÁA;
... Biessels, GJ; + view all
(2019)
The Meta VCI Map consortium for meta-analyses on strategic lesion locations for vascular cognitive impairment using lesion-symptom mapping: Design and multicenter pilot study.
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring
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10.1016/j.dadm.2019.02.007.
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Williams, H;
Cattani, L;
Van Schoubroeck, D;
Yaqub, M;
Sudre, C;
Vercauteren, T;
D'Hooge, J;
(2021)
Automatic Extraction of Hiatal Dimensions in 3-D Transperineal Pelvic Ultrasound Recordings.
Ultrasound in Medicine and Biology
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10.1016/j.ultrasmedbio.2021.08.009.
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Woollacott, IOC;
Bocchetta, M;
Sudre, CH;
Ridha, BH;
Strand, C;
Courtney, R;
Ourselin, S;
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(2018)
Pathological correlates of white matter hyperintensities in a case of progranulin mutation associated frontotemporal dementia.
Neurocase
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10.1080/13554794.2018.1506039.
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Zazzara, MB;
Penfold, RS;
Roberts, AL;
Lee, KA;
Dooley, H;
Sudre, CH;
Welch, C;
... Lochlainn, MN; + view all
(2021)
Probable delirium is a presenting symptom of COVID-19 in frail, older adults: a cohort study of 322 hospitalised and 535 community-based older adults.
Age and Ageing
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10.1093/ageing/afaa223.
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Proceedings paper
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André, P;
Heitz, C;
Christodoulou, E;
Reinke, A;
Sudre, CH;
Antonelli, M;
Cardoso, MJ;
... Colliot, O; + view all
(2026)
Some Hidden Traps of Confidence Intervals in Medical Image Segmentation: Coverage Issues.
In:
Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning (MICCAI 2025).
(pp. pp. 15-24).
Springer Nature Switzerland
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Bass, Cher;
Silva, Mariana da;
Sudre, Carole H;
Williams, Logan ZJ;
Tudosiu, Petru-Daniel;
Alfaro-Almagro, Fidel;
Fitzgibbon, Sean P;
... Robinson, Emma C; + view all
(2021)
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.
In:
Medical Imaging with Deep Learning – MIDL 2021.
: Lübeck, Germany.
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Bass, C;
Silva, MD;
Sudre, CH;
Tudosiu, P-D;
Smith, SM;
Robinson, EC;
(2020)
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping.
In: Larochelle, H and Ranzato, M and Hadsell, R and Balcan, M.F. and Lin, H, (eds.)
Advances in Neural Information Processing Systems 33 (NeurIPS 2020).
NeurIPS: Virtual conference (Vancouver, Canada.).
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Borges, P;
Sudre, C;
Varsavsky, T;
Thomas, D;
Drobnjak, I;
Ourselin, S;
Cardoso, MJ;
(2019)
Physics-informed brain MRI segmentation.
In: Burgos, N and Gooya, A and Svoboda, D, (eds.)
SASHIMI 2019: Simulation and Synthesis in Medical Imaging.
(pp. pp. 100-109).
Springer: Shenzhen, China.
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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.
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Christodoulou, Evangelia;
Reinke, Annika;
Houhou, Rola;
Kalinowski, Piotr;
Erkan, Selen;
Sudre, Carole H;
Burgos, Ninon;
... Maier-Hein, Lena; + view all
(2024)
Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI?
In: Linguraru, MG and Dou, Q and Feragen, A and Giannarou, S and Glocker, B and Lekadir, K and Schnabel, JA, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024.
(pp. pp. 124-132).
Springer: Cham, Switzerland.
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Eisenmann, M;
Reinke, A;
Weru, V;
Tizabi, MD;
Isensee, F;
Adler, TJ;
Ali, S;
... Maier-Hein, L; + view all
(2023)
Why is the Winner the Best?
In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
(pp. pp. 19955-19966).
IEEE: Vancouver, BC, Canada.
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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.
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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
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McCabe, J;
Cheng, D;
Bhamani, A;
Mullin, M;
Patrick, T;
Nair, A;
Janes, SM;
... Jacob, J; + view all
(2024)
Exploring Fairness in State-of-the-Art Pulmonary Nodule Detection Algorithms.
In: Puyol-Antón, Esther and Zamzmi, Ghada and Feragen, Aasa and King, Andrew P and Cheplygina, Veronika and Ganz-Benjaminsen, Melanie and Ferrante, Enzo and Glocker, Ben and Petersen, Eike and Baxter, John SH and Rekik, Islem and Eagleson, Roy, (eds.)
Ethics and Fairness in Medical Imaging: FAIMI EPIMI 2024.
(pp. pp. 78-87).
Springer: Cham, Switzerland.
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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.
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Semedo, C;
Cardoso, MJ;
Vos, SB;
Sudre, CH;
Bocchetta, M;
Ribbens, A;
Smeets, D;
... Ourselin, S; + view all
(2018)
Thalamic nuclei segmentation using tractography, population-specific priors and local fibre orientation.
In: Frangi, A and Schnabel, J and Davatzikos, C and Alberola-López, C and Fichtinger, G, (eds.)
Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Lecture Notes in Computer Science.
(pp. pp. 383-391).
Springer: Cham.
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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.
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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.
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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.
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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.
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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.
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Williams, H;
Cattani, L;
Yaqub, M;
Sudre, C;
Vercauteren, T;
Deprest, J;
D’hooge, J;
(2020)
Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound.
In: Hu, Y and Licandro, R and Noble, AJ and Hutter, J and Aylward, S and Melbourne, A and Abaci Turk, E and Torrents Barrena, J, (eds.)
ASMUS 2020, PIPPI 2020: Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis.
(pp. pp. 136-145).
Springer: Lima, Peru.
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Zabihi, M;
Tangwiriyasakul, C;
Ingala, S;
Lorenzini, L;
Camarasa, R;
Barkhof, F;
de Bruijne, M;
... Sudre, CH; + view all
(2023)
Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation.
In: Cao, Xiaohuan and Xu, Xuanang and Rekik, Islem and Cui, Zhiming and Ouyang, Xi, (eds.)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
(pp. pp. 325-334).
Springer: Cham, Switzerland.
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Working / discussion paper
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Maier-Hein, Lena;
Reinke, Annika;
Christodoulou, Evangelia;
Glocker, Ben;
Godau, Patrick;
Isensee, Fabian;
Kleesiek, Jens;
... Jäger, Paul F; + view all
(2022)
Metrics reloaded: Pitfalls and recommendations for image analysis validation.
arXiv.org: Ithaca (NY), USA.
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Millar, J;
Neyton, L;
Seth, S;
Dunning, J;
Merson, L;
Murthy, S;
Russell, C;
... ISARIC4C Investigators, .; + view all
(2020)
Robust, reproducible clinical patterns in hospitalised patients with COVID-19.
medRxiv: Cold Spring Harbor, NY, USA.
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Molteni, E;
Astley, C;
Ma, W;
Sudre, CH;
Magee, L;
Murray, B;
Fall, T;
... Modat, M; + view all
(2020)
SARS-CoV-2 (COVID-19) infection in pregnant women: characterization of symptoms and syndromes predictive of disease and severity through real-time, remote participatory epidemiology.
MedRxiv: Cold Spring Harbor, NY, USA.
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Pakzad, Ashkan;
Cheung, Wing Keung;
Quan, Kin;
Mogulkoc, Nesrin;
Moorsel, Coline HM Van;
Bartholmai, Brian J;
Es, Hendrik W Van;
... Jacob, Joseph; + view all
(2021)
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease.
arXiv.org: Ithaca (NY), USA.
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Reinke, Annika;
Tizabi, Minu D;
Baumgartner, Michael;
Eisenmann, Matthias;
Heckmann-Nötzel, Doreen;
Kavur, A Emre;
Rädsch, Tim;
... Maier-Hein, Lena; + view all
(2023)
Understanding metric-related pitfalls in image analysis validation.
arXiv.org: Ithaca (NY), USA.
|
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Shaw, Richard;
Sudre, Carole H;
Ourselin, Sébastien;
Cardoso, M Jorge;
Pemberton, Hugh G;
(2021)
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation.
arXiv.org: Ithaca (NY), USA.
|
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Silva, Mariana da;
Sudre, Carole H;
Garcia, Kara;
Bass, Cher;
Cardoso, M Jorge;
Robinson, Emma C;
(2021)
Distinguishing Healthy Ageing from Dementia: a Biomechanical Simulation of Brain Atrophy using Deep Networks.
arXiv.org: Ithaca (NY), USA.
|
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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
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Bisdas, S;
Sanverdi, E;
Sudre, C;
Roettger, D;
Brandner, S;
Katsaros, V;
(2018)
The role of dynamic susceptibility contrast perfusion-weighted MRI in the estimation of IDH mutation in gliomas.
Presented at: UNSPECIFIED.
|
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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.
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Sudre, CH;
Prados Carrasco, F;
Cortese, R;
Yiannakas, M;
Kearney, H;
Ciccarelli, O;
Ourselin, S;
... Cardoso, M; + view all
(2018)
A fully unsupervised method for spinal cord lesion segmentationin multiple sclerosis.
Presented at: ISMRM 2018, Paris, France.
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Thesis
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Sudre, CH;
(2016)
Automated segmentation and characterisation of white matter hyperintensities.
Doctoral thesis , UCL (University College London).
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