Cohort Profile: The Cardiovascular Research Data Catalogue.

Autor: Reinikainen J; Population Health Unit, Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland., Palosaari T; Population Health Unit, Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland., Canosa-Valls AJ; Barcelona Supercomputing Center (BSC), Barcelona, Spain., Schmidt CO; Functional Division Quality in the Health Sciences (QIHS), Department SHIP-KEF, Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany., Wissa R; Maelstrom Research, Research Institute of the McGill University Health Centre, Montreal, Canada., Chadalavada S; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, UK.; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK., Codó L; Barcelona Supercomputing Center (BSC), Barcelona, Spain., Gelpí JL; Barcelona Supercomputing Center (BSC), Barcelona, Spain.; Department of Biochemistry and Biomedicine, University of Barcelona, Barcelona, Spain., Joseph B; Data and Analytics Unit, Department of Knowledge Brokers, Finnish Institute for Health and Welfare, Helsinki, Finland., van der Lugt A; Department of Radiology and Nuclear Medicine, Erasmus University Medical Center Rotterdam, The Netherlands., Pacella E; Scientific Affairs, Research Department, European Society of Cardiology, France., Petersen SE; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, UK.; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK.; Health Data Research UK, London, UK., Pujadas ER; Department of Mathematics and Computer Science, Artificial Intelligence in Medicine Lab (BCN-AIM), Barcelona, Spain., Szabo L; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, UK.; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK.; Semmelweis University, Heart and Vascular Centre, Budapest, Hungary., Zeller T; University Center of Cardiovascular Science, University Heart and Vascular Center, Hamburg, Germany.; Department of Cardiology, University Heart and Vascular Center, Hamburg, Germany.; German Center of Cardiovascular Research, Partner site Hamburg/Lübeck/Kiel, Hamburg, Germany., Niiranen T; Population Health Unit, Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.; Department of Internal Medicine, University of Turku and Turku University Hospital, Turku, Finland., Lekadir K; Department of Mathematics and Computer Science, Artificial Intelligence in Medicine Lab (BCN-AIM), Barcelona, Spain., Kuulasmaa K; Population Health Unit, Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.

Publikováno v: International journal of epidemiology [Int J Epidemiol] 2024 Feb 01; Vol. 53 (1).

Predicting left ventricular hypertrophy from the 12-lead electrocardiogram in the UK Biobank imaging study using machine learning.

Autor: Naderi H; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK., Ramírez J; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.; Aragon Institute of Engineering Research, University of Zaragoza, Zaragoza, Spain., van Duijvenboden S; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.; Big Data Institute, La Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK., Pujadas ER; Faculty of Mathematics and Computer Science, University of Barcelona, Barcelona, Spain., Aung N; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.; National Institute of Health and Care Research Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK., Wang L; School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK., Anwar Ahmed Chahal C; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK.; Cardiac Electrophysiology Section, Division of Cardiovascular Diseases, University of Pennsylvania, Philadelphia, PA, USA.; Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA., Lekadir K; Faculty of Mathematics and Computer Science, University of Barcelona, Barcelona, Spain., Petersen SE; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.; National Institute of Health and Care Research Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK.; Health Data Research UK, Gibbs Building, 215 Euston Road, London, NW1 2BE, UK.; Alan Turing Institute, The British Library, 96 Euston Road, London, NW1 2DB, UK., Munroe PB; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.; National Institute of Health and Care Research Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.

Publikováno v: European heart journal. Digital health [Eur Heart J Digit Health] 2023 Jun 01; Vol. 4 (4), pp. 316-324. Date of Electronic Publication: 2023 Jun 01 (Print Publication: 2023).

Atrial fibrillation prediction by combining ECG markers and CMR radiomics.

Autor: Pujadas ER; Artificial Intelligence in Medicine Lab (BCN-AIM), Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Barcelona, Spain. esmeralda.ruiz@ub.edu., Raisi-Estabragh Z; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK., Szabo L; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK., Morcillo CI; Artificial Intelligence in Medicine Lab (BCN-AIM), Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Barcelona, Spain., Campello VM; Artificial Intelligence in Medicine Lab (BCN-AIM), Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Barcelona, Spain., Martin-Isla C; Artificial Intelligence in Medicine Lab (BCN-AIM), Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Barcelona, Spain., Vago H; Semmelweis University Heart and Vascular Center, Budapest, Hungary., Merkely B; Semmelweis University Heart and Vascular Center, Budapest, Hungary., Harvey NC; MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.; NIHR Southampton Biomedical Research Centre, University of Southampton, University Hospital Southampton NHS Foundation Trust, Southampton, UK., Petersen SE; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, EC1M 6BQ, UK.; Barts Heart Centre, St Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London, EC1A 7BE, UK.; Health Data Research UK, London, UK.; Alan Turing Institute, London, UK., Lekadir K; Artificial Intelligence in Medicine Lab (BCN-AIM), Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Barcelona, Spain.

Publikováno v: Scientific reports [Sci Rep] 2022 Nov 07; Vol. 12 (1), pp. 18876. Date of Electronic Publication: 2022 Nov 07.

Shape-based normalized cuts using spectral relaxation for biomedical segmentation.

Autor: Pujadas ER, Reisert M

Publikováno v: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society [IEEE Trans Image Process] 2014 Jan; Vol. 23 (1), pp. 163-70. Date of Electronic Publication: 2013 Oct 28.

ChatGPT as an effective tool for quality evaluation of radiomics research.

Autor: Mese I; Department of Radiology, Erenkoy Mental Health and Neurology Training and Research Hospital, University of Health Sciences, Istanbul, Turkey., Kocak B; Department of Radiology, Basaksehir Cam and Sakura City Hospital, University of Health Sciences, Istanbul, Turkey. drburakkocak@gmail.com.

Publikováno v: European radiology [Eur Radiol] 2024 Oct 15. Date of Electronic Publication: 2024 Oct 15.