Items where authors include "Karunasaagarar, K."
Up a levelArticle
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
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
Weir-McCall, J.R., Debruyn, E., Harris, S. et al. (63 more authors) (2023) Diagnostic Accuracy of a Convolutional Neural Network Assessment of Solitary Pulmonary Nodules Compared With PET With CT Imaging and Dynamic Contrast-Enhanced CT Imaging Using Unenhanced and Contrast-Enhanced CT Imaging. Chest Journal, 163 (2). pp. 444-454. ISSN 0012-3692
Alabed, S. orcid.org/0000-0002-9960-7587, Alandejani, F., Dwivedi, K. et al. (21 more authors) (2022) Validation of artificial intelligence cardiac MRI measurements: relationship to heart catheterization and mortality prediction. Radiology, 305 (1). ISSN 0033-8419
Sharkey, M.J. orcid.org/0000-0001-9851-0014, Taylor, J.C., Alabed, S. orcid.org/0000-0002-9960-7587 et al. (13 more authors) (2022) Fully automatic cardiac four chamber and great vessel segmentation on CT pulmonary angiography using deep learning. Frontiers in Cardiovascular Medicine, 9. 983859. ISSN 2297-055X
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.
Gilbert, F.J., Harris, S., Miles, K.A. et al. (34 more authors) (2022) Dynamic contrast-enhanced CT compared with positron emission tomography CT to characterise solitary pulmonary nodules : the SPUtNIk diagnostic accuracy study and economic modelling. Health Technology Assessment, 26 (17). pp. 1-180. ISSN 1366-5278
Shahin, Y., Johns, C. orcid.org/0000-0003-3724-0430, Karunasaagarar, K. et al. (2 more authors) (2019) IodiNe Subtraction mapping in the diagnosis of Pulmonary chronIc thRomboEmbolic disease (INSPIRE) : rationale and methodology of a cross-sectional observational diagnostic study. Contemporary Clinical Trials Communications, 15.
Barker, N., Fidock, B., Johns, C.S. orcid.org/0000-0003-3724-0430 et al. (13 more authors) (2019) A systematic review of right ventricular diastolic assessment by 4D flow CMR. BioMed Research International, 2019. 6074984. ISSN 2314-6133
Johns, C.S. orcid.org/0000-0003-3724-0430, Kiely, D.G., Rajaram, S. et al. (13 more authors) (2018) Diagnosis of pulmonary hypertension with cardiac MRI: derivation and validation of regression models. Radiology. ISSN 0033-8419
Proceedings Paper
Alabed, S., Garg, P., Alandejani, F. et al. (15 more authors) (2022) P39 Establishing minimally important differences for cardiac MRI endpoints in pulmonary arterial hypertension. In: Thorax. British Thoracic Society Winter Meeting 2022, 23-25 Nov 2022, Westminster, London, United Kingdom. BMJ Publishing Group Ltd and British Thoracic Society , A101-A102.
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.
Fidock, B., Balasubramanian, N., Barker, N. et al. (11 more authors) (2019) 284 An accurate, multi-parametric cardiovascular magnetic resonance model to predict mean pulmonary artery pressure in pulmonary hypertension. In: European Heart Journal - Cardiovascular Imaging. EuroCMR 2019, 02-04 May 2019, Venice, Italy. Oxford University Press (OUP) .
Barker, N., Fidock, B., Balasubramanian, N. et al. (11 more authors) (2019) P165 A novel cardiac magnetic resonance imaging model to predict level of mixed venous oxygen levels in pulmonary hypertension. In: European Heart Journal - Cardiovascular Imaging. EuroCMR 2019, 02-04 May 2019, Venice, Italy. Oxford University Press (OUP) .
Balasubramanian, N., Baker, N., Fidock, B. et al. (11 more authors) (2019) P612 Averaged, diastolic mitral inflow velocity mapping versus peak velocity for the assessment of left ventricular haemodynamics. In: European Heart Journal - Cardiovascular Imaging. EuroCMR 2019, 02-04 May 2019, Venice, Italy. Oxford University Press (OUP) .