Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Verjans JW"'
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Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Dorraki M; School of Computer and Mathematical Sciences, The University of Adelaide, Adelaide, Australia.; Australian Institute for Machine Learning (AIML), Adelaide, Australia.; Lifelong Health Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia., Liao Z; Australian Institute for Machine Learning (AIML), Adelaide, Australia., Abbott D; School of Electrical & Electronic Engineering, University of Adelaide, Adelaide, Australia., Psaltis PJ; Lifelong Health Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia.; Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia.; Department of Cardiology, Central Adelaide Local Health Network, Adelaide, Australia., Baker E; Australian Institute for Machine Learning (AIML), Adelaide, Australia., Bidargaddi N; College of Medicine and Public Health, Flinders University, Adelaide, Australia., Wardill HR; Precision Cancer Medicine Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia.; School of Biomedicine, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, Australia., van den Hengel A; Australian Institute for Machine Learning (AIML), Adelaide, Australia., Narula J; University of Texas Health Science Center, Houston, USA., Verjans JW; Australian Institute for Machine Learning (AIML), Adelaide, Australia.; Lifelong Health Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, Australia.; Department of Cardiology, Central Adelaide Local Health Network, Adelaide, Australia.
Publikováno v:
JACC. Advances [JACC Adv] 2024 Sep 25; Vol. 3 (9), pp. 101180. Date of Electronic Publication: 2024 Sep 25 (Print Publication: 2024).
Autor:
Kwiecinski J; Department of Interventional Cardiology and Angiology, Institute of Cardiology, Alpejska 42, Warsaw, 04-628, Poland. jkwiecinski@ikard.pl., Wang KL; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Tzolos E; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Moss A; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Daghem M; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Adamson PD; Christchurch Heart Institute, University of Otago, Christchurch, New Zealand., Dey D; Departments of Medicine (Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, United States of America., Molek-Dziadosz P; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Dawson D; Aberdeen Cardiovascular and Diabetes Centre, University of Aberdeen, Aberdeen, United Kingdom., Arumugam P; Manchester University, NHS Foundation Trust, Manchester, United Kingdom., Sabharwal N; Oxford University Hospitals, NHS Foundation Trust, Oxford, United Kingdom., Greenwood JP; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, Leeds, UK., Townend JN; Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom., Calvert PA; Royal Papworth Hospital, University of Cambridge, Cambridge, United Kingdom., Rudd JH; Department of Medicine, University of Cambridge, Cambridge, United Kingdom., Berman D; Departments of Medicine (Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, United States of America., Verjans JW; Australian Institute for Machine Learning, The University of Adelaide, Adelaide, Australia.; Royal Adelaide Hospital, Adelaide, Australia., Williams MC; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Slomka P; Departments of Medicine (Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, United States of America., Dweck MR; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Newby DE; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Publikováno v:
European journal of nuclear medicine and molecular imaging [Eur J Nucl Med Mol Imaging] 2024 Jun 27. Date of Electronic Publication: 2024 Jun 27.
Autor:
Wang KL; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; General Clinical Research Center, Taipei Veterans General Hospital, Taipei, Taiwan. Electronic address: k.l.wang@ed.ac.uk., Balmforth C; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Meah MN; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Daghem M; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Moss AJ; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Tzolos E; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Kwiecinski J; Department of Interventional Cardiology and Angiology, Institute of Cardiology, Warsaw, Poland., Molek-Dziadosz P; Department of Coronary Artery Disease and Heart Failure, John Paul II Hospital, Kraków, Poland., Craig N; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Bularga A; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Adamson PD; Christchurch Heart Institute, University of Otago, Christchurch, New Zealand., Dawson DK; Aberdeen Cardiovascular and Diabetes Centre, University of Aberdeen, Aberdeen, United Kingdom., Arumugam P; Manchester University National Health Service (NHS) Foundation Trust, Manchester, United Kingdom., Sabharwal NK; Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom., Greenwood JP; Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom; Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom; The Baker Heart and Diabetes Institute, Monash University, and University of Melbourne, Melbourne, Victoria, Australia., Townend JN; Institute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom., Calvert PA; Royal Papworth Hospital NHS Foundation Trust, Cambridge, United Kingdom; Department of Medicine, University of Cambridge, Cambridge, United Kingdom., Rudd JHF; Department of Medicine, University of Cambridge, Cambridge, United Kingdom., Verjans JW; Australian Institute for Machine Learning, University of Adelaide, Adelaide, South Australia, Australia; Royal Adelaide Hospital, Adelaide, South Australia, Australia., Berman DS; Cedars-Sinai Medical Center, Los Angeles, California, USA., Slomka PJ; Cedars-Sinai Medical Center, Los Angeles, California, USA., Dey D; Cedars-Sinai Medical Center, Los Angeles, California, USA., Mills NL; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., van Beek EJR; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Williams MC; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Dweck MR; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom., Newby DE; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Publikováno v:
Journal of the American College of Cardiology [J Am Coll Cardiol] 2024 Jun 04; Vol. 83 (22), pp. 2135-2144.
Autor:
Saad FH; Department of Electrical and Computer Engineering North South University Dhaka Bangladesh., Farook TH; Adelaide Dental School University of Adelaide Adelaide Australia., Ahmed S; Department of Electrical and Computer Engineering North South University Dhaka Bangladesh., Zhao Y; Department of Computer Science and Information Technology La Trobe University Melbourne Australia., Liao Z; Australian Institute for Machine Learning University of Adelaide Adelaide Australia., Verjans JW; Australian Institute for Machine Learning University of Adelaide Adelaide Australia., Dudley J; Adelaide Dental School University of Adelaide Adelaide Australia.
Publikováno v:
Healthcare technology letters [Healthc Technol Lett] 2024 Feb 05; Vol. 11 (1), pp. 21-30. Date of Electronic Publication: 2024 Feb 05 (Print Publication: 2024).
Autor:
Tian Y; Harvard Ophthalmology AI Lab, Harvard Medical School, United States of America. Electronic address: ytian11@meei.harvard.edu., Liu F; Australian Institute for Machine Learning, University of Adelaide, Australia., Pang G; School of Computing and Information Systems, Singapore Management University, Singapore., Chen Y; Australian Institute for Machine Learning, University of Adelaide, Australia., Liu Y; Australian Institute for Machine Learning, University of Adelaide, Australia., Verjans JW; Australian Institute for Machine Learning, University of Adelaide, Australia; South Australian Health and Medical Research Institute, Australia; Faculty of Health and Medical Sciences, University of Adelaide, Australia., Singh R; Faculty of Health and Medical Sciences, University of Adelaide, Australia., Carneiro G; Centre for Vision, Speech and Signal Processing, University of Surrey, United Kingdom.
Publikováno v:
Medical image analysis [Med Image Anal] 2023 Dec; Vol. 90, pp. 102930. Date of Electronic Publication: 2023 Aug 18.
Autor:
Dorraki M; South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia.; Australian Institute for Machine Learning (AIML), The University of Adelaide, Adelaide, SA 5000, Australia.; School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA 5000, Australia.; Centre for Biomedical Engineering (CBME), The University of Adelaide, Adelaide, SA 5000, Australia., Muratovic D; Centre for Orthopaedic and Trauma Research, Discipline of Orthopaedics and Trauma, The University of Adelaide, Adelaide, SA 5000, Australia., Fouladzadeh A; Centre for Cancer Biology, University of South Australia and SA Pathology, Adelaide, SA 5000, Australia., Verjans JW; South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA 5000, Australia.; Australian Institute for Machine Learning (AIML), The University of Adelaide, Adelaide, SA 5000, Australia.; Royal Adelaide Hospital, Adelaide, SA 5000, Australia.; Adelaide Medical School, The University of Adelaide, Adelaide, SA 5000, Australia., Allison A; School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA 5000, Australia.; Centre for Biomedical Engineering (CBME), The University of Adelaide, Adelaide, SA 5000, Australia., Findlay DM; Centre for Orthopaedic and Trauma Research, Discipline of Orthopaedics and Trauma, The University of Adelaide, Adelaide, SA 5000, Australia.; Centre for Biomedical Engineering (CBME), The University of Adelaide, Adelaide, SA 5000, Australia., Abbott D; School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA 5000, Australia.; Centre for Biomedical Engineering (CBME), The University of Adelaide, Adelaide, SA 5000, Australia.
Publikováno v:
PNAS nexus [PNAS Nexus] 2022 Nov 21; Vol. 1 (5), pp. pgac258. Date of Electronic Publication: 2022 Nov 21 (Print Publication: 2022).