Browse by UCL people
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Number of items: 30.
Article
Augusto, JB;
Davies, RH;
Bhuva, AN;
Knott, KD;
Seraphim, A;
Alfarih, M;
Lau, C;
... Moon, JC; + view all
(2020)
Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performance.
The Lancet Digital Health
10.1016/s2589-7500(20)30267-3.
(In press).
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Augusto, JB;
Menacho, K;
Andiapen, M;
Bowles, R;
Burton, M;
Welch, S;
Bhuva, AN;
... Moon, JC; + view all
(2020)
Healthcare Workers Bioresource: Study outline and baseline characteristics of a prospective healthcare worker cohort to study immune protection and pathogenesis in COVID-19 [version 2; peer review: 1 approved, 2 approved with reservations].
Wellcome Open Research
, 5
, Article 179. 10.12688/wellcomeopenres.16051.2.
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Augusto, JB;
Menacho, K;
Andiapen, M;
Bowles, R;
Burton, M;
Welch, S;
Bhuva, AN;
... Moon, JC; + view all
(2020)
Healthcare Workers Bioresource: Study outline and baseline characteristics of a prospective healthcare worker cohort to study immune protection and pathogenesis in COVID-19 [version 1; peer review: 1 approved, 1 approved with reservations].
Wellcome Open Research
, 5
, Article 179. 10.12688/wellcomeopenres.16051.1.
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Bhuva, AN;
Bai, W;
Lau, C;
Davies, RH;
Ye, Y;
Bulluck, H;
McAlindon, E;
... Manisty, CH; + view all
(2019)
A Multicenter, Scan-Rescan, Human and Machine Learning CMR Study to Test Generalizability and Precision in Imaging Biomarker Analysis.
Circulation: Cardiovascular Imaging
, 12
(10)
, Article e009214. 10.1161/circimaging.119.009214.
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Captur, G;
Manisty, CH;
Raman, B;
Marchi, A;
Wong, TC;
Ariga, R;
Bhuva, A;
... Moon, JC; + view all
(2021)
Maximal Wall Thickness Measurement in Hypertrophic Cardiomyopathy: Biomarker Variability and its Impact on Clinical Care.
JACC: Cardiovascular Imaging
, 14
(11)
pp. 2123-2134.
10.1016/j.jcmg.2021.03.032.
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Castelletti, Silvia;
Menacho, Katia;
Davies, Rhodri H;
Maestrini, Viviana;
Treibel, Thomas A;
Rosmini, Stefania;
Manisty, Charlotte;
... Moon, James C; + view all
(2021)
Hypertrophic cardiomyopathy: insights from extracellular volume mapping.
European Journal of Preventive Cardiology
, 28
(18)
e39-e41.
10.1093/eurjpc/zwaa083.
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Chen, C;
Bai, W;
Davies, RH;
Bhuva, AN;
Manisty, CH;
Augusto, JB;
Moon, JC;
... Rueckert, D; + view all
(2020)
Improving the Generalizability of Convolutional Neural Network-Based Segmentation on CMR Images.
Frontiers in Cardiovascular Medicine
, 7
, Article 105. 10.3389/fcvm.2020.00105.
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Crane, James D;
Joy, George;
Knott, Kristopher D;
Augusto, João B;
Lau, Clement;
Bhuva, Anish N;
Seraphim, Andreas;
... Manisty, Charlotte; + view all
(2024)
The Impact of Bariatric Surgery on Coronary Microvascular Function Assessed Using Automated Quantitative Perfusion CMR.
JACC Cardiovasc Imaging
, 17
(11)
pp. 1305-1316.
10.1016/j.jcmg.2024.05.022.
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Das, A;
Kelly, C;
Teh, I;
Nguyen, C;
Brown, LAE;
Chowdhary, A;
Jex, N;
... Dall'Armellina, E; + view all
(2021)
Phenotyping hypertrophic cardiomyopathy using cardiac diffusion magnetic resonance imaging: the relationship between microvascular dysfunction and microstructural changes.
European Heart Journal - Cardiovascular Imaging
, Article jeab210. 10.1093/ehjci/jeab210.
(In press).
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Fraser, AG;
Biasin, E;
Bijnens, B;
Bruining, N;
Caiani, EG;
Cobbaert, K;
Davies, RH;
... Rademakers, FE; + view all
(2023)
Artificial intelligence in medical device software and high-risk medical devices–a review of definitions, expert recommendations and regulatory initiatives.
Expert Review of Medical Devices
, 20
(6)
pp. 467-491.
10.1080/17434440.2023.2184685.
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Gupta, RK;
Rosenheim, J;
Bell, LC;
Chandran, A;
Guerra-Assuncao, JA;
Pollara, G;
Whelan, M;
... COVIDsortium Investigators, .; + view all
(2021)
Blood transcriptional biomarkers of acute viral infection for detection of pre-symptomatic SARS-CoV-2 infection: a nested, case-control diagnostic accuracy study.
Lancet Microbe
10.1016/S2666-5247(21)00146-4.
(In press).
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Jacob, J;
(2021)
A computationally efficient approach to segmentation of the aorta and coronary arteries using deep learning.
IEEE Access
, 9
pp. 108873-108888.
10.1109/ACCESS.2021.3099030.
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Jiang, Yue;
Punjabi, Karan;
Pierce, Iain;
Knight, Daniel;
Yao, Tina;
Steeden, Jennifer;
Hughes, Alun D;
... Davies, Rhodri; + view all
(2025)
A machine learning algorithm for creating isotropic 3D aortic segmentations from routine cardiac MR localizers.
Magnetic Resonance Imaging
, 115
, Article 110253. 10.1016/j.mri.2024.110253.
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Joy, George;
Lopes, Luis R;
Webber, Matthew;
Ardissino, Alessandra M;
Wilson, James;
Chan, Fiona;
Pierce, Iain;
... Captur, Gabriella; + view all
(2024)
Electrophysiological Characterization of Subclinical and Overt Hypertrophic Cardiomyopathy by Magnetic Resonance Imaging-Guided Electrocardiography.
Journal of the American College of Cardiology
, 83
(11)
pp. 1042-1055.
10.1016/j.jacc.2024.01.006.
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Joy, G;
Artico, J;
Kurdi, H;
Seraphim, A;
Lau, C;
Thornton, GD;
Oliveira, MF;
... COVIDsortium Investigators; + view all
(2021)
Prospective Case-Control Study of Cardiovascular Abnormalities 6 Months Following Mild COVID-19 in Healthcare Workers.
JACC Cardiovascular Imaging
10.1016/j.jcmg.2021.04.011.
(In press).
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Kagiyama, Nobuyuki;
Tokodi, Márton;
Hathaway, Quincy A;
Arnaout, Rima;
Davies, Rhodri;
Dey, Damini;
Duchateau, Nicolas;
... Sengupta, Partho P; + view all
(2025)
PRIME 2.0: An Update to The Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation Checklist.
JACC: Cardiovascular Imaging
10.1016/j.jcmg.2025.08.004.
(In press).
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Knott, KD;
Seraphim, A;
Augusto, JB;
Xue, H;
Chacko, L;
Aung, N;
Petersen, SE;
... Moon, JC; + view all
(2021)
The Prognostic Significance of Quantitative Myocardial Perfusion: An Artificial Intelligence Based Approach Using Perfusion Mapping.
Circulation
, 141
(16)
pp. 1282-1291.
10.1161/CIRCULATIONAHA.119.044666.
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Moody, WE;
Hudsmith, LE;
Holloway, B;
Treibel, TA;
Davies, R;
Kozor, R;
Hamilton-Craig, C;
... British Society of Cardiovascular Magnetic Resonance and the Aus; + view all
(2019)
Variation in cardiovascular magnetic resonance myocardial contouring: Insights from an international survey.
Journal of Magnetic Resonance Imaging
10.1002/jmri.26689.
(In press).
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Papetti, Daniele M;
Van Abeelen, Kirsten;
Davies, Rhodri;
Menè, Roberto;
Heilbron, Francesca;
Perelli, Francesco P;
Artico, Jessica;
... Torlasco, Camilla; + view all
(2023)
An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar.
Computer Methods and Programs in Biomedicine
, 229
, Article 107321. 10.1016/j.cmpb.2022.107321.
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Raisi-Estabragh, Z;
Gkontra, P;
Jaggi, A;
Cooper, J;
Augusto, J;
Bhuva, AN;
Davies, RH;
... Petersen, SE; + view all
(2020)
Repeatability of Cardiac Magnetic Resonance Radiomics: A Multi-Centre Multi-Vendor Test-Retest Study.
Frontiers in Cardiovascular Medicine
, 7
, Article 586236. 10.3389/fcvm.2020.586236.
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Reynolds, CJ;
Pade, C;
Gibbons, JM;
Butler, DK;
Otter, AD;
Menacho, K;
Fontana, M;
... Boyton, R; + view all
(2021)
Prior SARS-CoV-2 infection rescues B and T cell responses to variants after first vaccine dose.
Science
, Article eabh1282. 10.1126/science.abh1282.
(In press).
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Reynolds, CJ;
Swadling, L;
Gibbons, JM;
Pade, C;
Jensen, MP;
Diniz, MO;
Schmidt, NM;
... Boyton, RJ; + view all
(2020)
Discordant neutralizing antibody and T cell responses in asymptomatic and mild SARS-CoV-2 infection.
Science Advances
, 5
(54)
, Article eabf3698. 10.1126/sciimmunol.abf3698.
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Seraphim, A;
Dowsing, B;
Rathod, KS;
Shiwani, H;
Patel, K;
Knott, KD;
Zaman, S;
... Manisty, C; + view all
(2022)
Quantitative Myocardial Perfusion Predicts Outcomes in Patients With Prior Surgical Revascularization.
Journal of the American College of Cardiology
, 79
(12)
pp. 1141-1151.
10.1016/j.jacc.2021.12.037.
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Seraphim, A;
Knott, KD;
Beirne, A-M;
Augusto, JB;
Menacho, K;
Artico, J;
Joy, G;
... Manisty, C; + view all
(2021)
Use of quantitative cardiovascular magnetic resonance myocardial perfusion mapping for characterization of ischemia in patients with left internal mammary coronary artery bypass grafts.
Journal of Cardiovascular Magnetic Resonance
, 23
, Article 82. 10.1186/s12968-021-00763-y.
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Seraphim, A;
Knott, KD;
Menacho, K;
Augusto, JB;
Davies, R;
Pierce, I;
Joy, G;
... Kellman, P; + view all
(2021)
Prognostic Value of Pulmonary Transit Time and Pulmonary Blood Volume Estimation Using Myocardial Perfusion CMR.
JACC: Cardiovascular Imaging
10.1016/j.jcmg.2021.03.029.
(In press).
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Shiwani, Hunain;
Davies, Rhodri H;
Topriceanu, Constantin-Cristian;
Ditaranto, Raffaello;
Owens, Anjali;
Raman, Betty;
Augusto, João;
... PRECISION-HCM Collaborative; + view all
(2025)
Demographic-Based Personalized Left Ventricular Hypertrophy Thresholds for Hypertrophic Cardiomyopathy Diagnosis.
Journal of the American College of Cardiology
10.1016/j.jacc.2024.10.082.
(In press).
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Thornton, George D;
Bennett, Jonathan B;
Nitsche, Christian;
Gama, Francisco;
Aziminia, Nikoo;
Knott, Kristopher;
Davies, Rhodri H;
... Treibel, Thomas A; + view all
(2024)
Myocardial Hypoperfusion in Severe Aortic Stenosis Is Reversed Early After Aortic Valve Replacement.
JACC: Cardiovascular Imaging
, 17
(8)
pp. 1006-1008.
10.1016/j.jcmg.2024.03.008.
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Xue, Hui;
Hooper, Sarah M;
Pierce, Iain;
Davies, Rhodri H;
Stairs, John;
Naegele, Joseph;
Campbell-Washburn, Adrienne E;
... Kellman, Peter; + view all
(2025)
SNRAware: Improved Deep Learning MRI Denoising with Signal-to-noise Ratio Unit Training and G-factor Map Augmentation.
Radiology: Artificial Intelligence
, Article e250227. 10.1148/ryai.250227.
(In press).
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Xue, H;
Artico, J;
Fontana, M;
Moon, JC;
Davies, RH;
Kellman, P;
(2021)
Landmark Detection in Cardiac MRI Using a Convolutional Neural Network.
Radiology: Artificial Intelligence
, Article e200197. 10.1148/ryai.2021200197.
(In press).
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Xue, H;
Davies, RH;
Brown, LAE;
Knott, KD;
Kotecha, T;
Fontana, M;
Plein, S;
... Kellman, P; + view all
(2020)
Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning.
Radiology: Artificial Intelligence
, 2
(6)
, Article e200009. 10.1148/ryai.2020200009.
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