Items where authors include "Salehi, M."
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Salehi, M., Maiter, A., Strickland, S. et al. (11 more authors) (2024) Clinical assessment of an AI tool for measuring biventricular parameters on cardiac MR. Frontiers in Cardiovascular Medicine, 11. 1279298. ISSN 2297-055X
Alnasser, T.N., Abdulaal, L., Maiter, A. et al. (6 more authors) (2024) Advancements in cardiac structures segmentation: a comprehensive systematic review of deep learning in CT imaging. Frontiers in Cardiovascular Medicine, 11. 1323461. ISSN 2297-055X
Alabed, S. orcid.org/0000-0002-9960-7587, Garg, P., Alandejani, F. orcid.org/0000-0003-1227-401X et al. (24 more authors) (2023) Establishing minimally important differences for cardiac MRI end-points in pulmonary arterial hypertension. European Respiratory Journal, 62 (2). 2202225. ISSN 0903-1936
Maiter, A., Salehi, M., Swift, A.J. orcid.org/0000-0002-8772-409X et al. (1 more author) (2023) How should studies using AI be reported? Lessons from a systematic review in cardiac MRI. Frontiers in Radiology, 3. 1112841. ISSN 2673-8740
Macdonald, A., Salehi, M., Alabed, S. et al. (11 more authors) (2023) Semi-automatic thresholding of RV trabeculation improves repeatability and diagnostic value in suspected pulmonary hypertension. Frontiers in Cardiovascular Medicine, 9. 1037385. ISSN 2297-055X
Assadi, H., Alabed, S. orcid.org/0000-0002-9960-7587, Maiter, A. et al. (8 more authors) (2022) The role of artificial intelligence in predicting outcomes by cardiovascular magnetic resonance : a comprehensive systematic review. Medicina, 58 (8). 1087.
Alabed, S. orcid.org/0000-0002-9960-7587, Maiter, A., Salehi, M. et al. (15 more authors) (2022) Quality of reporting in AI cardiac MRI segmentation studies – a systematic review and recommendations for future studies. Frontiers in Cardiovascular Medicine, 9. 956811. ISSN 2297-055X
Salehi, M. and Rea, B. orcid.org/0000-0002-4568-0359 (2022) Preoperative chest radiograph. Heart, 108 (15). pp. 1224-1246. ISSN 1355-6037
Alandejani, F., Alabed, S. orcid.org/0000-0002-9960-7587, Garg, P. et al. (23 more authors) (2022) Training and clinical testing of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements. Journal of Cardiovascular Magnetic Resonance, 24 (1). 25.
Haji Heydari, N., Talafidaryani, M., Khabiri, S. et al. (1 more author) (2019) Business model analytics: technically review business model research domain. foresight, 21 (6). pp. 654-679. ISSN 1463-6689
Proceedings Paper
Alandejani, F., Alabed, S. orcid.org/0000-0002-9960-7587, Garg, P. et al. (22 more authors) (2022) Training and clinical validation of artificial intelligence derived right atrial cardiovascular magnetic resonance measurements. In: American Journal of Respiratory and Critical Care Medicine. American Thoracic Society 2022 International Conference, May 13-18, 2022 - San Francisco, CA, 13-18 May 2022, American Thoracic Society 2022 International Conference. American Thoracic Society , a2285-a2285.
Haji Heydari, N. orcid.org/0000-0003-3663-5254, Salehi, M. and Goudarzi, A. (2018) Optimizing humanitarian aids : formulating influencer advertisement in social networks. In: Camarinha-Matos, L.M., Afsarmanesh, H. and Rezgui, Y., (eds.) Collaborative Networks of Cognitive Systems. Working Conference on Virtual Enterprises, PRO-VE 2018, 17-19 Sep 2018, Cardiff, UK. Springer , pp. 101-110. ISBN 978-3-319-99126-9